diff --git a/CHANGELOG.md b/CHANGELOG.md
index 4e5a8b87..d3ae1564 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,6 +2,22 @@
Full documentation for HIPIFY is available at [hipify.readthedocs.io](https://hipify.readthedocs.io/en/latest/).
+## HIPIFY for ROCm 5.7.0
+### Added
+- CUDA 12.2.0 support
+- cuDNN 8.9.2 support
+- LLVM 16.0.6 support
+- Initial rocSPARSE support
+- Initial CUDA2ROC documentation generation for rocBLAS, rocSPARSE, and MIOpen:
+ - in separate files: hipify-clang --md --doc-format=full --doc-roc=separate
+ - in a single file: hipify-clang --md --doc-format=full --doc-roc=joint
+- New options:
+ - --use-hip-data-types (Use 'hipDataType' instead of 'hipblasDatatype_t' or 'rocblas_datatype')
+ - --doc-roc=\<value\> (ROC documentation generation: 'skip' (default), 'separate', or 'joint'; the '--md' or '--csv' option must be specified)
+### Fixed
+- [#822] Add a new function call transformation type "additional const by value arg"
+- [#830] Add a new function call transformation type "move arg from place X to place Y"
+
## HIPIFY for ROCm 5.6.0
### Added
- CUDA 12.1.0 support
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 9ec50dc6..ce188b75 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -5,11 +5,11 @@ project(hipify-clang)
include(GNUInstallDirs)
option(HIPIFY_INCLUDE_IN_HIP_SDK "Include HIPIFY in HIP SDK" OFF)
+
if(HIPIFY_INCLUDE_IN_HIP_SDK)
if(NOT WIN32)
message(FATAL_ERROR "HIPIFY_INCLUDE_IN_HIP_SDK is only supported on Windows")
- endif()
- if(CMAKE_GENERATOR MATCHES "Visual Studio")
+ elseif(CMAKE_GENERATOR MATCHES "Visual Studio")
message(FATAL_ERROR "HIPIFY_INCLUDE_IN_HIP_SDK is not targeting Visual Studio")
endif()
else()
@@ -28,48 +28,47 @@ list(APPEND CMAKE_MODULE_PATH ${LLVM_CMAKE_DIR})
include(AddLLVM)
if (NOT HIPIFY_CLANG_TESTS_ONLY)
-
-if(MSVC AND MSVC_VERSION VERSION_LESS "1900")
+ if(MSVC AND MSVC_VERSION VERSION_LESS "1900")
message(SEND_ERROR "hipify-clang could be built by Visual Studio 14 2015 or higher.")
return()
-endif()
+ endif()
-include_directories(${LLVM_INCLUDE_DIRS})
-add_definitions(${LLVM_DEFINITIONS})
+ include_directories(${LLVM_INCLUDE_DIRS})
+ add_definitions(${LLVM_DEFINITIONS})
-file(GLOB_RECURSE HIPIFY_SOURCES src/*.cpp)
-file(GLOB_RECURSE HIPIFY_HEADERS src/*.h)
-add_llvm_executable(hipify-clang ${HIPIFY_SOURCES} ${HIPIFY_HEADERS})
-target_link_directories(hipify-clang PRIVATE ${LLVM_LIBRARY_DIRS})
+ file(GLOB_RECURSE HIPIFY_SOURCES src/*.cpp)
+ file(GLOB_RECURSE HIPIFY_HEADERS src/*.h)
-if(HIPIFY_INCLUDE_IN_HIP_SDK)
- if(CMAKE_SOURCE_DIR STREQUAL CMAKE_CURRENT_SOURCE_DIR)
- message(FATAL_ERROR "In order to include HIPIFY in HIP SDK, HIPIFY needs to be built with LLVM_EXTERNAL_PROJECTS")
- endif()
+ add_llvm_executable(hipify-clang ${HIPIFY_SOURCES} ${HIPIFY_HEADERS})
+ target_link_directories(hipify-clang PRIVATE ${LLVM_LIBRARY_DIRS})
- # Need to add clang include directories explicitly if
- # building as part of llvm.
- if(LLVM_EXTERNAL_CLANG_SOURCE_DIR)
- target_include_directories(hipify-clang
- PRIVATE
- ${LLVM_BINARY_DIR}/tools/clang/include
- ${LLVM_EXTERNAL_CLANG_SOURCE_DIR}/include)
- endif()
- # Need to add lld include directories explicitly if
- # building as part of llvm.
- if(LLVM_EXTERNAL_LLD_SOURCE_DIR)
- target_include_directories(hipify-clang
- PRIVATE
- ${LLVM_BINARY_DIR}/tools/lld/include
- ${LLVM_EXTERNAL_LLD_SOURCE_DIR}/include)
+ if(HIPIFY_INCLUDE_IN_HIP_SDK)
+ if(CMAKE_SOURCE_DIR STREQUAL CMAKE_CURRENT_SOURCE_DIR)
+ message(FATAL_ERROR "In order to include HIPIFY in HIP SDK, HIPIFY needs to be built with LLVM_EXTERNAL_PROJECTS")
+ endif()
+
+ # Need to add clang include directories explicitly if building as part of llvm.
+ if(LLVM_EXTERNAL_CLANG_SOURCE_DIR)
+ target_include_directories(hipify-clang
+ PRIVATE
+ ${LLVM_BINARY_DIR}/tools/clang/include
+ ${LLVM_EXTERNAL_CLANG_SOURCE_DIR}/include)
+ endif()
+
+ # Need to add lld include directories explicitly if building as part of llvm.
+ if(LLVM_EXTERNAL_LLD_SOURCE_DIR)
+ target_include_directories(hipify-clang
+ PRIVATE
+ ${LLVM_BINARY_DIR}/tools/lld/include
+ ${LLVM_EXTERNAL_LLD_SOURCE_DIR}/include)
+ endif()
+ else()
+ set(CMAKE_CXX_COMPILER ${LLVM_TOOLS_BINARY_DIR}/clang++)
+ set(CMAKE_C_COMPILER ${LLVM_TOOLS_BINARY_DIR}/clang)
endif()
-else()
- set(CMAKE_CXX_COMPILER ${LLVM_TOOLS_BINARY_DIR}/clang++)
- set(CMAKE_C_COMPILER ${LLVM_TOOLS_BINARY_DIR}/clang)
-endif()
-# Link against LLVM and CLANG libraries
-target_link_libraries(hipify-clang PRIVATE
+ # Link against LLVM and CLANG libraries.
+ target_link_libraries(hipify-clang PRIVATE
clangASTMatchers
clangFrontend
clangTooling
@@ -93,87 +92,80 @@ target_link_libraries(hipify-clang PRIVATE
LLVMOption
LLVMCore)
-if(LLVM_PACKAGE_VERSION VERSION_GREATER "6.0.1")
+ if(LLVM_PACKAGE_VERSION VERSION_GREATER "6.0.1")
target_link_libraries(hipify-clang PRIVATE clangToolingInclusions)
-endif()
+ endif()
-if(LLVM_PACKAGE_VERSION VERSION_GREATER "9.0.1")
+ if(LLVM_PACKAGE_VERSION VERSION_GREATER "9.0.1")
target_link_libraries(hipify-clang PRIVATE LLVMFrontendOpenMP)
-endif()
+ endif()
-if(LLVM_PACKAGE_VERSION VERSION_EQUAL "15.0.0" OR LLVM_PACKAGE_VERSION VERSION_GREATER "15.0.0")
+ if(LLVM_PACKAGE_VERSION VERSION_EQUAL "15.0.0" OR LLVM_PACKAGE_VERSION VERSION_GREATER "15.0.0")
target_link_libraries(hipify-clang PRIVATE LLVMWindowsDriver clangSupport)
-endif()
+ endif()
-if(LLVM_PACKAGE_VERSION VERSION_EQUAL "16.0.0" OR LLVM_PACKAGE_VERSION VERSION_GREATER "16.0.0")
+ if(LLVM_PACKAGE_VERSION VERSION_EQUAL "16.0.0" OR LLVM_PACKAGE_VERSION VERSION_GREATER "16.0.0")
if(MSVC)
- set(STD "/std:c++17")
+ set(STD "/std:c++17")
else()
- set(STD "-std=c++17")
+ set(STD "-std=c++17")
endif()
-else()
+ else()
if(MSVC)
- set(STD "/std:c++14")
+ set(STD "/std:c++14")
else()
- set(STD "-std=c++14")
+ set(STD "-std=c++14")
endif()
-endif()
-
-# [ToDo] Remove SWDEV_375013 related guards from CMakeLists.txt and HipifyAction.cpp along with the LLVM 16.0.0 official release
-option (SWDEV_375013 "Enables SWDEV-375013 blocker workaround for the clang's change https://reviews.llvm.org/D140332" OFF)
-if(SWDEV_375013)
- add_definitions(-DSWDEV_375013)
-endif()
+ endif()
-if(MSVC)
+ if(MSVC)
target_link_libraries(hipify-clang PRIVATE version)
target_compile_options(hipify-clang PRIVATE ${STD} /Od /GR- /EHs- /EHc-)
set(CMAKE_CXX_LINK_FLAGS "${CMAKE_CXX_LINK_FLAGS} /SUBSYSTEM:WINDOWS")
-else()
+ else()
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${STD} -pthread -fno-rtti -fvisibility-inlines-hidden")
-endif()
+ endif()
-# Address Sanitize Flag
-if(ADDRESS_SANITIZER)
+ # Address Sanitize Flag.
+ if(ADDRESS_SANITIZER)
set(addr_var -fsanitize=address)
-else()
+ else()
set(addr_var )
-endif()
-set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${EXTRA_CFLAGS} ${addr_var}")
+ endif()
+ set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${EXTRA_CFLAGS} ${addr_var}")
-# [ToDo] Remove D125860 related guards from CMakeLists.txt with the LLVM 16.0.0 official release
-option (D125860 "Enables treating clang's resource dir as lib/clang/X.Y.Z, as it was before clang's change D125860, merged as e1b88c8a09be25b86b13f98755a9bd744b4dbf14" OFF)
-if(D125860)
+ # [ToDo] Remove D125860 related guards from CMakeLists.txt with the LLVM 16.0.0 official release.
+ option (D125860 "Enables treating clang's resource dir as lib/clang/X.Y.Z, as it was before clang's change D125860, merged as e1b88c8a09be25b86b13f98755a9bd744b4dbf14" OFF)
+ if(D125860)
add_definitions(-D125860)
-endif()
-if((LLVM_PACKAGE_VERSION VERSION_EQUAL "16.0.0" OR LLVM_PACKAGE_VERSION VERSION_GREATER "16.0.0") AND (NOT D125860))
+ endif()
+ if((LLVM_PACKAGE_VERSION VERSION_EQUAL "16.0.0" OR LLVM_PACKAGE_VERSION VERSION_GREATER "16.0.0") AND (NOT D125860))
set(LIB_CLANG_RES ${LLVM_VERSION_MAJOR})
-else()
+ else()
set(LIB_CLANG_RES ${LLVM_VERSION_MAJOR}.${LLVM_VERSION_MINOR}.${LLVM_VERSION_PATCH})
-endif()
-set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${EXTRA_CFLAGS} -DHIPIFY_CLANG_RES=\\\"${LLVM_LIBRARY_DIRS}/clang/${LIB_CLANG_RES}\\\" ${addr_var}")
+ endif()
+ set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${EXTRA_CFLAGS} -DHIPIFY_CLANG_RES=\\\"${LLVM_LIBRARY_DIRS}/clang/${LIB_CLANG_RES}\\\" ${addr_var}")
-set(INSTALL_PATH_DOC_STRING "hipify-clang Installation Path")
-if(CMAKE_INSTALL_PREFIX_INITIALIZED_TO_DEFAULT)
+ set(INSTALL_PATH_DOC_STRING "hipify-clang Installation Path")
+ if(CMAKE_INSTALL_PREFIX_INITIALIZED_TO_DEFAULT)
set(CMAKE_INSTALL_PREFIX "${PROJECT_BINARY_DIR}/dist" CACHE PATH ${INSTALL_PATH_DOC_STRING} FORCE)
-endif()
+ endif()
-set(HIPIFY_BIN_INSTALL_PATH "${CMAKE_INSTALL_PREFIX}/bin")
+ set(HIPIFY_BIN_INSTALL_PATH "${CMAKE_INSTALL_PREFIX}/bin")
-install(TARGETS hipify-clang DESTINATION bin)
-# install bin directory in CMAKE_INSTALL_PREFIX path
-install(
+ install(TARGETS hipify-clang DESTINATION bin)
+ # Install bin directory in CMAKE_INSTALL_PREFIX path.
+ install(
DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/bin
DESTINATION .
USE_SOURCE_PERMISSIONS
PATTERN "hipify-perl"
PATTERN "*.sh")
-# Headers are already included in HIP SDK, so skip those if including
-# HIPIFY in HIP SDK.
-if(NOT HIPIFY_INCLUDE_IN_HIP_SDK)
- # install all folders under clang/version/ in CMAKE_INSTALL_PREFIX path
- install(
+ # Headers are already included in HIP SDK, so skip those if including HIPIFY in HIP SDK.
+ if(NOT HIPIFY_INCLUDE_IN_HIP_SDK)
+ # Install all folders under clang/version/ in CMAKE_INSTALL_PREFIX path.
+ install(
DIRECTORY ${LLVM_DIR}/../../clang/${LIB_CLANG_RES}/
DESTINATION .
COMPONENT clang-resource-headers
@@ -185,7 +177,7 @@ if(NOT HIPIFY_INCLUDE_IN_HIP_SDK)
PATTERN "new"
PATTERN "ppc_wrappers" EXCLUDE
PATTERN "openmp_wrappers" EXCLUDE)
-endif()
+ endif()
# install all folders under clang/version/ in CMAKE_INSTALL_PREFIX path
install(
@@ -201,97 +193,99 @@ install(
PATTERN "ppc_wrappers" EXCLUDE
PATTERN "openmp_wrappers" EXCLUDE)
-option(FILE_REORG_BACKWARD_COMPATIBILITY "Enable File Reorg with backward compatibility" ON)
-
-if(UNIX)
-
- #get rid of any RPATH definations already
+ if(UNIX)
+ # Get rid of any RPATH definations already.
set_target_properties(hipify-clang PROPERTIES INSTALL_RPATH "")
- #set RPATH for the binary
- set_target_properties(hipify-clang PROPERTIES LINK_FLAGS "-Wl,--disable-new-dtags -Wl,--rpath,$ORIGIN/../lib" )
+ # Set RPATH for the binary.
+ set_target_properties(hipify-clang PROPERTIES LINK_FLAGS "-Wl,--enable-new-dtags -Wl,--rpath,$ORIGIN/../lib" )
+
+ option(FILE_REORG_BACKWARD_COMPATIBILITY "Enable File Reorg with backward compatibility" ON)
if(FILE_REORG_BACKWARD_COMPATIBILITY)
- include(hipify-backward-compat.cmake)
+ include(hipify-backward-compat.cmake)
endif()
+
set(CPACK_PACKAGING_INSTALL_PREFIX "/opt/rocm" CACHE PATH "HIP Package Installation Path")
set(BUILD_DIR ${CMAKE_CURRENT_BINARY_DIR}/packages/hipify-clang)
+
configure_file(packaging/hipify-clang.txt ${BUILD_DIR}/CMakeLists.txt @ONLY)
configure_file(${CMAKE_SOURCE_DIR}/LICENSE.txt ${BUILD_DIR}/LICENSE.txt @ONLY)
- add_custom_target(package_hipify-clang COMMAND ${CMAKE_COMMAND} .
- WORKING_DIRECTORY ${PROJECT_BINARY_DIR}
- COMMAND rm -rf *.deb *.rpm *.tar.gz
- COMMAND make package
- COMMAND cp *.deb ${PROJECT_BINARY_DIR}
- COMMAND cp *.rpm ${PROJECT_BINARY_DIR}
- COMMAND cp *.tar.gz ${PROJECT_BINARY_DIR}
- WORKING_DIRECTORY ${BUILD_DIR})
-endif()
+ add_custom_target(package_hipify-clang COMMAND ${CMAKE_COMMAND} .
+ WORKING_DIRECTORY ${PROJECT_BINARY_DIR}
+ COMMAND rm -rf *.deb *.rpm *.tar.gz
+ COMMAND make package
+ COMMAND cp *.deb ${PROJECT_BINARY_DIR}
+ COMMAND cp *.rpm ${PROJECT_BINARY_DIR}
+ COMMAND cp *.tar.gz ${PROJECT_BINARY_DIR}
+ WORKING_DIRECTORY ${BUILD_DIR})
+ endif()
-endif()
+endif() # if (NOT HIPIFY_CLANG_TESTS_ONLY)
if(HIPIFY_CLANG_TESTS OR HIPIFY_CLANG_TESTS_ONLY)
- find_package(PythonInterp 2.7 REQUIRED)
-
- function (require_program PROGRAM_NAME)
- find_program(FOUND_${PROGRAM_NAME} ${PROGRAM_NAME})
- if(FOUND_${PROGRAM_NAME})
- message(STATUS "Found ${PROGRAM_NAME}: ${FOUND_${PROGRAM_NAME}}")
- else()
- message(SEND_ERROR "Can't find ${PROGRAM_NAME}. Either set HIPIFY_CLANG_TESTS(_ONLY) to OFF to disable HIPIFY tests, or install the missing program.")
- endif()
- endfunction()
-
- require_program(lit)
- require_program(FileCheck)
-
- find_package(CUDA REQUIRED)
- if((CUDA_VERSION VERSION_LESS "7.0") OR (LLVM_PACKAGE_VERSION VERSION_LESS "3.8") OR
- (CUDA_VERSION VERSION_GREATER "7.5" AND LLVM_PACKAGE_VERSION VERSION_LESS "4.0") OR
- (CUDA_VERSION VERSION_GREATER "8.0" AND LLVM_PACKAGE_VERSION VERSION_LESS "6.0") OR
- (CUDA_VERSION VERSION_GREATER "9.0" AND LLVM_PACKAGE_VERSION VERSION_LESS "7.0") OR
- (CUDA_VERSION VERSION_GREATER "9.2" AND LLVM_PACKAGE_VERSION VERSION_LESS "8.0") OR
- (CUDA_VERSION VERSION_GREATER "10.0" AND LLVM_PACKAGE_VERSION VERSION_LESS "9.0") OR
- (CUDA_VERSION VERSION_GREATER "10.1" AND LLVM_PACKAGE_VERSION VERSION_LESS "10.0"))
- message(SEND_ERROR "CUDA ${CUDA_VERSION} is not supported by LLVM ${LLVM_PACKAGE_VERSION}.")
- if(CUDA_VERSION_MAJOR VERSION_LESS "7")
- message(STATUS "Please install CUDA 7.0 or higher.")
- elseif(CUDA_VERSION_MAJOR VERSION_LESS "8")
- message(STATUS "Please install LLVM + clang 3.8 or higher.")
- elseif(CUDA_VERSION_MAJOR VERSION_LESS "9")
- message(STATUS "Please install LLVM + clang 4.0 or higher.")
- elseif(CUDA_VERSION VERSION_EQUAL "9.0")
- message(STATUS "Please install LLVM + clang 6.0 or higher.")
- elseif(CUDA_VERSION_MAJOR VERSION_LESS "10")
- message(STATUS "Please install LLVM + clang 7.0 or higher.")
- elseif(CUDA_VERSION VERSION_EQUAL "10.0")
- message(STATUS "Please install LLVM + clang 8.0 or higher.")
- elseif(CUDA_VERSION VERSION_EQUAL "10.1")
- message(STATUS "Please install LLVM + clang 9.0 or higher.")
- elseif(CUDA_VERSION VERSION_EQUAL "10.2" OR CUDA_VERSION VERSION_EQUAL "11.0")
- message(STATUS "Please install LLVM + clang 10.0 or higher.")
- endif()
+ find_package(PythonInterp 2.7 REQUIRED)
+
+ function (require_program PROGRAM_NAME)
+ find_program(FOUND_${PROGRAM_NAME} ${PROGRAM_NAME})
+ if(FOUND_${PROGRAM_NAME})
+ message(STATUS "Found ${PROGRAM_NAME}: ${FOUND_${PROGRAM_NAME}}")
+ else()
+ message(SEND_ERROR "Can't find ${PROGRAM_NAME}. Either set HIPIFY_CLANG_TESTS(_ONLY) to OFF to disable HIPIFY tests, or install the missing program.")
endif()
+ endfunction()
+
+ require_program(lit)
+ require_program(FileCheck)
+
+ find_package(CUDA REQUIRED)
+ if((CUDA_VERSION VERSION_LESS "7.0") OR (LLVM_PACKAGE_VERSION VERSION_LESS "3.8") OR
+ (CUDA_VERSION VERSION_GREATER "7.5" AND LLVM_PACKAGE_VERSION VERSION_LESS "4.0") OR
+ (CUDA_VERSION VERSION_GREATER "8.0" AND LLVM_PACKAGE_VERSION VERSION_LESS "6.0") OR
+ (CUDA_VERSION VERSION_GREATER "9.0" AND LLVM_PACKAGE_VERSION VERSION_LESS "7.0") OR
+ (CUDA_VERSION VERSION_GREATER "9.2" AND LLVM_PACKAGE_VERSION VERSION_LESS "8.0") OR
+ (CUDA_VERSION VERSION_GREATER "10.0" AND LLVM_PACKAGE_VERSION VERSION_LESS "9.0") OR
+ (CUDA_VERSION VERSION_GREATER "10.1" AND LLVM_PACKAGE_VERSION VERSION_LESS "10.0"))
+ message(SEND_ERROR "CUDA ${CUDA_VERSION} is not supported by LLVM ${LLVM_PACKAGE_VERSION}.")
+ if(CUDA_VERSION_MAJOR VERSION_LESS "7")
+ message(STATUS "Please install CUDA 7.0 or higher.")
+ elseif(CUDA_VERSION_MAJOR VERSION_LESS "8")
+ message(STATUS "Please install LLVM + clang 3.8 or higher.")
+ elseif(CUDA_VERSION_MAJOR VERSION_LESS "9")
+ message(STATUS "Please install LLVM + clang 4.0 or higher.")
+ elseif(CUDA_VERSION VERSION_EQUAL "9.0")
+ message(STATUS "Please install LLVM + clang 6.0 or higher.")
+ elseif(CUDA_VERSION_MAJOR VERSION_LESS "10")
+ message(STATUS "Please install LLVM + clang 7.0 or higher.")
+ elseif(CUDA_VERSION VERSION_EQUAL "10.0")
+ message(STATUS "Please install LLVM + clang 8.0 or higher.")
+ elseif(CUDA_VERSION VERSION_EQUAL "10.1")
+ message(STATUS "Please install LLVM + clang 9.0 or higher.")
+ elseif(CUDA_VERSION VERSION_EQUAL "10.2" OR CUDA_VERSION VERSION_EQUAL "11.0")
+ message(STATUS "Please install LLVM + clang 10.0 or higher.")
+ endif()
+ endif()
- configure_file(
- ${CMAKE_CURRENT_LIST_DIR}/tests/lit.site.cfg.in
- ${CMAKE_CURRENT_BINARY_DIR}/tests/lit.site.cfg
- @ONLY)
+ configure_file(
+ ${CMAKE_CURRENT_LIST_DIR}/tests/lit.site.cfg.in
+ ${CMAKE_CURRENT_BINARY_DIR}/tests/lit.site.cfg
+ @ONLY)
-if(HIPIFY_CLANG_TESTS_ONLY)
+ if(HIPIFY_CLANG_TESTS_ONLY)
add_lit_testsuite(test-hipify "Running HIPIFY regression tests"
- ${CMAKE_CURRENT_LIST_DIR}/tests
- PARAMS site_config=${CMAKE_CURRENT_BINARY_DIR}/tests/lit.site.cfg
- ARGS -v)
-else()
+ ${CMAKE_CURRENT_LIST_DIR}/tests
+ PARAMS site_config=${CMAKE_CURRENT_BINARY_DIR}/tests/lit.site.cfg
+ ARGS -v)
+ else()
add_lit_testsuite(test-hipify "Running HIPIFY regression tests"
- ${CMAKE_CURRENT_LIST_DIR}/tests
- PARAMS site_config=${CMAKE_CURRENT_BINARY_DIR}/tests/lit.site.cfg
- ARGS -v
- DEPENDS hipify-clang)
-endif()
+ ${CMAKE_CURRENT_LIST_DIR}/tests
+ PARAMS site_config=${CMAKE_CURRENT_BINARY_DIR}/tests/lit.site.cfg
+ ARGS -v
+ DEPENDS hipify-clang)
+ endif()
- add_custom_target(test-hipify-clang)
- add_dependencies(test-hipify-clang test-hipify)
- set_target_properties(test-hipify-clang PROPERTIES FOLDER "Tests")
-endif()
+ add_custom_target(test-hipify-clang)
+ add_dependencies(test-hipify-clang test-hipify)
+ set_target_properties(test-hipify-clang PROPERTIES FOLDER "Tests")
+
+endif() # if(HIPIFY_CLANG_TESTS OR HIPIFY_CLANG_TESTS_ONLY)
diff --git a/bin/hipify-perl b/bin/hipify-perl
index a066031b..b090469f 100755
--- a/bin/hipify-perl
+++ b/bin/hipify-perl
@@ -1173,6 +1173,7 @@ sub rocSubstitutions {
subst("cublasGemmEx", "rocblas_gemm_ex", "library");
subst("cublasGemmStridedBatchedEx", "rocblas_gemm_strided_batched_ex", "library");
subst("cublasGetAtomicsMode", "rocblas_get_atomics_mode", "library");
+ subst("cublasGetMathMode", "rocblas_get_math_mode", "library");
subst("cublasGetMatrix", "rocblas_get_matrix", "library");
subst("cublasGetMatrixAsync", "rocblas_get_matrix_async", "library");
subst("cublasGetPointerMode", "rocblas_get_pointer_mode", "library");
@@ -1219,6 +1220,7 @@ sub rocSubstitutions {
subst("cublasSdot", "rocblas_sdot", "library");
subst("cublasSdot_v2", "rocblas_sdot", "library");
subst("cublasSetAtomicsMode", "rocblas_set_atomics_mode", "library");
+ subst("cublasSetMathMode", "rocblas_set_math_mode", "library");
subst("cublasSetMatrix", "rocblas_set_matrix", "library");
subst("cublasSetMatrixAsync", "rocblas_set_matrix_async", "library");
subst("cublasSetPointerMode", "rocblas_set_pointer_mode", "library");
@@ -1476,6 +1478,7 @@ sub rocSubstitutions {
subst("cusparseCreateDnMat", "rocsparse_create_dnmat_descr", "library");
subst("cusparseCreateDnVec", "rocsparse_create_dnvec_descr", "library");
subst("cusparseCreateHybMat", "rocsparse_create_hyb_mat", "library");
+ subst("cusparseCreateIdentityPermutation", "rocsparse_create_identity_permutation", "library");
subst("cusparseCreateMatDescr", "rocsparse_create_mat_descr", "library");
subst("cusparseCreateSpVec", "rocsparse_create_spvec_descr", "library");
subst("cusparseCscSetPointers", "rocsparse_csc_set_pointers", "library");
@@ -1503,6 +1506,7 @@ sub rocSubstitutions {
subst("cusparseDnVecGet", "rocsparse_dnvec_get", "library");
subst("cusparseDnVecGetValues", "rocsparse_dnvec_get_values", "library");
subst("cusparseDnVecSetValues", "rocsparse_dnvec_set_values", "library");
+ subst("cusparseDpruneCsr2csrByPercentage", "rocsparse_dprune_csr2csr_by_percentage", "library");
subst("cusparseGather", "rocsparse_gather", "library");
subst("cusparseGetMatDiagType", "rocsparse_get_mat_diag_type", "library");
subst("cusparseGetMatFillMode", "rocsparse_get_mat_fill_mode", "library");
@@ -1541,8 +1545,14 @@ sub rocSubstitutions {
subst("cusparseSpVecGetIndexBase", "rocsparse_spvec_get_index_base", "library");
subst("cusparseSpVecGetValues", "rocsparse_spvec_get_values", "library");
subst("cusparseSpVecSetValues", "rocsparse_spvec_set_values", "library");
+ subst("cusparseXcoo2csr", "rocsparse_coo2csr", "library");
subst("cusparseXcoosortByColumn", "rocsparse_coosort_by_column", "library");
subst("cusparseXcoosortByRow", "rocsparse_coosort_by_row", "library");
+ subst("cusparseXcoosort_bufferSizeExt", "rocsparse_coosort_buffer_size", "library");
+ subst("cusparseXcscsort", "rocsparse_cscsort", "library");
+ subst("cusparseXcscsort_bufferSizeExt", "rocsparse_cscsort_buffer_size", "library");
+ subst("cusparseXcsrsort", "rocsparse_csrsort", "library");
+ subst("cusparseXcsrsort_bufferSizeExt", "rocsparse_csrsort_buffer_size", "library");
subst("cusparseXgebsr2gebsrNnz", "rocsparse_gebsr2gebsr_nnz", "library");
subst("cusparseZbsr2csr", "rocsparse_zbsr2csr", "library");
subst("cusparseZcsrcolor", "rocsparse_zcsrcolor", "library");
@@ -1555,12 +1565,14 @@ sub rocSubstitutions {
subst("cuDoubleComplex", "rocblas_double_complex", "type");
subst("cuFloatComplex", "rocblas_float_complex", "type");
subst("cublasAtomicsMode_t", "rocblas_atomics_mode", "type");
+ subst("cublasComputeType_t", "rocblas_computetype", "type");
subst("cublasContext", "_rocblas_handle", "type");
subst("cublasDataType_t", "rocblas_datatype", "type");
subst("cublasDiagType_t", "rocblas_diagonal", "type");
subst("cublasFillMode_t", "rocblas_fill", "type");
subst("cublasGemmAlgo_t", "rocblas_gemm_algo", "type");
subst("cublasHandle_t", "rocblas_handle", "type");
+ subst("cublasMath_t", "rocblas_math_mode", "type");
subst("cublasOperation_t", "rocblas_operation", "type");
subst("cublasPointerMode_t", "rocblas_pointer_mode", "type");
subst("cublasSideMode_t", "rocblas_side", "type");
@@ -1644,8 +1656,12 @@ sub rocSubstitutions {
subst("cusparseSpVecDescr_t", "rocsparse_spvec_descr", "type");
subst("cusparseSparseToDenseAlg_t", "rocsparse_sparse_to_dense_alg", "type");
subst("cusparseStatus_t", "rocsparse_status", "type");
+ subst("pruneInfo", "_rocsparse_mat_info", "type");
+ subst("pruneInfo_t", "rocsparse_mat_info", "type");
subst("CUBLAS_ATOMICS_ALLOWED", "rocblas_atomics_allowed", "numeric_literal");
subst("CUBLAS_ATOMICS_NOT_ALLOWED", "rocblas_atomics_not_allowed", "numeric_literal");
+ subst("CUBLAS_COMPUTE_32F", "rocblas_compute_type_f32", "numeric_literal");
+ subst("CUBLAS_DEFAULT_MATH", "rocblas_default_math", "numeric_literal");
subst("CUBLAS_DIAG_NON_UNIT", "rocblas_diagonal_non_unit", "numeric_literal");
subst("CUBLAS_DIAG_UNIT", "rocblas_diagonal_unit", "numeric_literal");
subst("CUBLAS_FILL_MODE_FULL", "rocblas_fill_full", "numeric_literal");
@@ -1670,6 +1686,7 @@ sub rocSubstitutions {
subst("CUBLAS_STATUS_NOT_INITIALIZED", "rocblas_status_invalid_handle", "numeric_literal");
subst("CUBLAS_STATUS_NOT_SUPPORTED", "rocblas_status_perf_degraded", "numeric_literal");
subst("CUBLAS_STATUS_SUCCESS", "rocblas_status_success", "numeric_literal");
+ subst("CUBLAS_TF32_TENSOR_OP_MATH", "rocblas_xf32_xdl_math_op", "numeric_literal");
subst("CUDA_C_16BF", "rocblas_datatype_bf16_c", "numeric_literal");
subst("CUDA_C_16F", "rocblas_datatype_f16_c", "numeric_literal");
subst("CUDA_C_32F", "rocblas_datatype_f32_c", "numeric_literal");
@@ -4059,6 +4076,7 @@ sub simpleSubstitutions {
subst("cusparseStatus_t", "hipsparseStatus_t", "type");
subst("nvrtcProgram", "hiprtcProgram", "type");
subst("nvrtcResult", "hiprtcResult", "type");
+ subst("pruneInfo", "pruneInfo", "type");
subst("pruneInfo_t", "pruneInfo_t", "type");
subst("surfaceReference", "surfaceReference", "type");
subst("texture", "texture", "type");
@@ -5880,6 +5898,8 @@ sub warnUnsupportedDeviceFunctions {
"mulhi",
"mul64hi",
"mul24",
+ "make_half2",
+ "make_bfloat162",
"llmin",
"llmax",
"int_as_float",
@@ -6061,6 +6081,8 @@ sub warnUnsupportedDeviceFunctions {
"__heq2_mask",
"__hcmadd",
"__halves2bfloat162",
+ "__half2uchar_rz",
+ "__half2char_rz",
"__hadd_rn",
"__hadd2_rn",
"__fsub_rz",
@@ -6088,6 +6110,7 @@ sub warnUnsupportedDeviceFunctions {
"__float2bfloat16_rd",
"__float2bfloat162_rn",
"__float2bfloat16",
+ "__float22bfloat162_rn",
"__finitel",
"__finitef",
"__finite",
@@ -6132,6 +6155,7 @@ sub warnUnsupportedDeviceFunctions {
"__bfloat162uint_ru",
"__bfloat162uint_rn",
"__bfloat162uint_rd",
+ "__bfloat162uchar_rz",
"__bfloat162short_rz",
"__bfloat162short_ru",
"__bfloat162short_rn",
@@ -6145,6 +6169,7 @@ sub warnUnsupportedDeviceFunctions {
"__bfloat162int_rn",
"__bfloat162int_rd",
"__bfloat162float",
+ "__bfloat162char_rz",
"__bfloat162bfloat162",
"__bfloat1622float2",
"_Pow_int"
@@ -6218,7 +6243,6 @@ sub warnUnsupportedFunctions {
my $line_num = shift;
my $k = 0;
foreach $func (
- "pruneInfo",
"nvrtcGetSupportedArchs",
"nvrtcGetOptiXIRSize",
"nvrtcGetOptiXIR",
@@ -6764,14 +6788,27 @@ sub warnUnsupportedFunctions {
"cudaOccupancyAvailableDynamicSMemPerBlock",
"cudaNvSciSyncAttrWait",
"cudaNvSciSyncAttrSignal",
+ "cudaMemsetParamsV2",
"cudaMemoryTypeUnregistered",
"cudaMemcpyToArrayAsync",
+ "cudaMemcpyNodeParams",
"cudaMemcpyFromArrayAsync",
"cudaMemcpyArrayToArray",
"cudaMemcpy3DPeerParms",
"cudaMemcpy3DPeerAsync",
"cudaMemcpy3DPeer",
"cudaMemcpy2DArrayToArray",
+ "cudaMemRangeAttributePreferredLocationType",
+ "cudaMemRangeAttributePreferredLocationId",
+ "cudaMemRangeAttributeLastPrefetchLocationType",
+ "cudaMemRangeAttributeLastPrefetchLocationId",
+ "cudaMemPrefetchAsync_v2",
+ "cudaMemLocationTypeHostNumaCurrent",
+ "cudaMemLocationTypeHostNuma",
+ "cudaMemLocationTypeHost",
+ "cudaMemFreeNodeParams",
+ "cudaMemAllocNodeParamsV2",
+ "cudaMemAdvise_v2",
"cudaLimitPersistingL2CacheSize",
"cudaLimitMaxL2FetchGranularity",
"cudaLimitDevRuntimeSyncDepth",
@@ -6801,6 +6838,7 @@ sub warnUnsupportedFunctions {
"cudaLaunchAttribute",
"cudaKeyValuePair",
"cudaKernel_t",
+ "cudaKernelNodeParamsV2",
"cudaKernelNodeAttributePriority",
"cudaKernelNodeAttributeMemSyncDomainMap",
"cudaKernelNodeAttributeMemSyncDomain",
@@ -6808,6 +6846,7 @@ sub warnUnsupportedFunctions {
"cudaKernelNodeAttributeClusterDimension",
"cudaInitDeviceFlagsAreValid",
"cudaInitDevice",
+ "cudaHostNodeParamsV2",
"cudaGraphicsVDPAURegisterVideoSurface",
"cudaGraphicsVDPAURegisterOutputSurface",
"cudaGraphicsResourceSetMapFlags",
@@ -6828,6 +6867,8 @@ sub warnUnsupportedFunctions {
"cudaGraphicsCubeFaceNegativeY",
"cudaGraphicsCubeFaceNegativeX",
"cudaGraphicsCubeFace",
+ "cudaGraphNodeSetParams",
+ "cudaGraphNodeParams",
"cudaGraphInstantiateWithParams",
"cudaGraphInstantiateSuccess",
"cudaGraphInstantiateResult",
@@ -6844,9 +6885,11 @@ sub warnUnsupportedFunctions {
"cudaGraphExecUpdateResultInfo_st",
"cudaGraphExecUpdateResultInfo",
"cudaGraphExecUpdateErrorAttributesChanged",
+ "cudaGraphExecNodeSetParams",
"cudaGraphExecGetFlags",
"cudaGraphExecExternalSemaphoresWaitNodeSetParams",
"cudaGraphExecExternalSemaphoresSignalNodeSetParams",
+ "cudaGraphAddNode",
"cudaGraphAddExternalSemaphoresWaitNode",
"cudaGraphAddExternalSemaphoresSignalNode",
"cudaGetTextureObjectTextureDesc_v2",
@@ -6891,8 +6934,10 @@ sub warnUnsupportedFunctions {
"cudaFlushGPUDirectRDMAWritesOptionMemOps",
"cudaFlushGPUDirectRDMAWritesOptionHost",
"cudaExternalSemaphoreWaitSkipNvSciBufMemSync",
+ "cudaExternalSemaphoreWaitNodeParamsV2",
"cudaExternalSemaphoreWaitNodeParams",
"cudaExternalSemaphoreSignalSkipNvSciBufMemSync",
+ "cudaExternalSemaphoreSignalNodeParamsV2",
"cudaExternalSemaphoreSignalNodeParams",
"cudaExternalSemaphoreHandleTypeTimelineSemaphoreWin32",
"cudaExternalSemaphoreHandleTypeTimelineSemaphoreFd",
@@ -6903,9 +6948,11 @@ sub warnUnsupportedFunctions {
"cudaExternalMemoryMipmappedArrayDesc",
"cudaExternalMemoryHandleTypeNvSciBuf",
"cudaExternalMemoryGetMappedMipmappedArray",
+ "cudaEventWaitNodeParams",
"cudaEventWaitExternal",
"cudaEventWaitDefault",
"cudaEventRecordWithFlags",
+ "cudaEventRecordNodeParams",
"cudaEventRecordExternal",
"cudaEventRecordDefault",
"cudaEventCreateFromEGLSync",
@@ -7069,6 +7116,9 @@ sub warnUnsupportedFunctions {
"cudaDriverEntryPointQueryResult",
"cudaDeviceSyncMemops",
"cudaDevicePropDontCare",
+ "cudaDeviceNumaConfigNumaNode",
+ "cudaDeviceNumaConfigNone",
+ "cudaDeviceNumaConfig",
"cudaDeviceMask",
"cudaDeviceGetTexture1DLinearMaxWidth",
"cudaDeviceGetNvSciSyncAttributes",
@@ -7085,6 +7135,8 @@ sub warnUnsupportedFunctions {
"cudaDevAttrReserved124",
"cudaDevAttrReserved123",
"cudaDevAttrReserved122",
+ "cudaDevAttrNumaId",
+ "cudaDevAttrNumaConfig",
"cudaDevAttrMemoryPoolSupportedHandleTypes",
"cudaDevAttrMemSyncDomainCount",
"cudaDevAttrMaxTimelineSemaphoreInteropSupported",
@@ -7100,6 +7152,7 @@ sub warnUnsupportedFunctions {
"cudaDevAttrIpcEventSupport",
"cudaDevAttrHostRegisterSupported",
"cudaDevAttrHostRegisterReadOnlySupported",
+ "cudaDevAttrHostNumaId",
"cudaDevAttrGPUDirectRDMAWritesOrdering",
"cudaDevAttrGPUDirectRDMASupported",
"cudaDevAttrGPUDirectRDMAFlushWritesOptions",
@@ -7170,6 +7223,7 @@ sub warnUnsupportedFunctions {
"cudaClusterSchedulingPolicyLoadBalancing",
"cudaClusterSchedulingPolicyDefault",
"cudaClusterSchedulingPolicy",
+ "cudaChildGraphNodeParams",
"cudaChannelFormatKindUnsignedNormalized8X4",
"cudaChannelFormatKindUnsignedNormalized8X2",
"cudaChannelFormatKindUnsignedNormalized8X1",
@@ -7278,7 +7332,9 @@ sub warnUnsupportedFunctions {
"cuMemcpy3DPeerAsync",
"cuMemcpy3DPeer",
"cuMemcpy",
+ "cuMemPrefetchAsync_v2",
"cuMemGetHandleForAddressRange",
+ "cuMemAdvise_v2",
"cuLibraryUnload",
"cuLibraryLoadFromFile",
"cuLibraryLoadData",
@@ -7305,11 +7361,13 @@ sub warnUnsupportedFunctions {
"cuGraphicsD3D9RegisterResource",
"cuGraphicsD3D11RegisterResource",
"cuGraphicsD3D10RegisterResource",
+ "cuGraphNodeSetParams",
"cuGraphInstantiateWithParams",
"cuGraphExternalSemaphoresWaitNodeSetParams",
"cuGraphExternalSemaphoresWaitNodeGetParams",
"cuGraphExternalSemaphoresSignalNodeSetParams",
"cuGraphExternalSemaphoresSignalNodeGetParams",
+ "cuGraphExecNodeSetParams",
"cuGraphExecMemsetNodeSetParams",
"cuGraphExecMemcpyNodeSetParams",
"cuGraphExecGetFlags",
@@ -7318,6 +7376,7 @@ sub warnUnsupportedFunctions {
"cuGraphExecBatchMemOpNodeSetParams",
"cuGraphBatchMemOpNodeSetParams",
"cuGraphBatchMemOpNodeGetParams",
+ "cuGraphAddNode",
"cuGraphAddMemsetNode",
"cuGraphAddMemcpyNode",
"cuGraphAddExternalSemaphoresWaitNode",
@@ -7882,6 +7941,8 @@ sub warnUnsupportedFunctions {
"CU_EGL_COLOR_FORMAT_ARGB",
"CU_EGL_COLOR_FORMAT_ABGR",
"CU_EGL_COLOR_FORMAT_A",
+ "CU_DEVICE_NUMA_CONFIG_NUMA_NODE",
+ "CU_DEVICE_NUMA_CONFIG_NONE",
"CU_DEVICE_ATTRIBUTE_VIRTUAL_ADDRESS_MANAGEMENT_SUPPORTED",
"CU_DEVICE_ATTRIBUTE_UNIFIED_FUNCTION_POINTERS",
"CU_DEVICE_ATTRIBUTE_TIMELINE_SEMAPHORE_INTEROP_SUPPORTED",
@@ -9524,7 +9585,6 @@ sub warnRocOnlyUnsupportedFunctions {
"cublasSetSmCountTarget",
"cublasSetMatrix_64",
"cublasSetMatrixAsync_64",
- "cublasSetMathMode",
"cublasSetLoggerCallback",
"cublasSetKernelStream",
"cublasSdot_v2_64",
@@ -9548,7 +9608,6 @@ sub warnRocOnlyUnsupportedFunctions {
"cublasRotEx_64",
"cublasNrm2Ex_64",
"cublasMigrateComputeType",
- "cublasMath_t",
"cublasLoggerConfigure",
"cublasLogCallback",
"cublasIzamin_v2_64",
@@ -9591,7 +9650,6 @@ sub warnRocOnlyUnsupportedFunctions {
"cublasGetProperty",
"cublasGetMatrix_64",
"cublasGetMatrixAsync_64",
- "cublasGetMathMode",
"cublasGetLoggerCallback",
"cublasGetError",
"cublasGetCudartVersion",
@@ -9818,7 +9876,6 @@ sub warnRocOnlyUnsupportedFunctions {
"CUDA_C_4I",
"CUDA_C_16U",
"CUDA_C_16I",
- "CUBLAS_TF32_TENSOR_OP_MATH",
"CUBLAS_TENSOR_OP_MATH",
"CUBLAS_STATUS_LICENSE_ERROR",
"CUBLAS_PEDANTIC_MATH",
@@ -9866,7 +9923,6 @@ sub warnRocOnlyUnsupportedFunctions {
"CUBLAS_GEMM_ALGO1",
"CUBLAS_GEMM_ALGO0_TENSOR_OP",
"CUBLAS_GEMM_ALGO0",
- "CUBLAS_DEFAULT_MATH",
"CUBLAS_COMPUTE_64F_PEDANTIC",
"CUBLAS_COMPUTE_64F",
"CUBLAS_COMPUTE_32I_PEDANTIC",
@@ -9875,7 +9931,6 @@ sub warnRocOnlyUnsupportedFunctions {
"CUBLAS_COMPUTE_32F_FAST_TF32",
"CUBLAS_COMPUTE_32F_FAST_16F",
"CUBLAS_COMPUTE_32F_FAST_16BF",
- "CUBLAS_COMPUTE_32F",
"CUBLAS_COMPUTE_16F_PEDANTIC",
"CUBLAS_COMPUTE_16F"
)
diff --git a/docs/.sphinx/requirements.in b/docs/.sphinx/requirements.in
index a4f5c674..e53f3df1 100644
--- a/docs/.sphinx/requirements.in
+++ b/docs/.sphinx/requirements.in
@@ -1 +1 @@
-rocm-docs-core==0.18.4
+rocm-docs-core==0.19.0
diff --git a/docs/.sphinx/requirements.txt b/docs/.sphinx/requirements.txt
index 0a276bca..ee9448ee 100644
--- a/docs/.sphinx/requirements.txt
+++ b/docs/.sphinx/requirements.txt
@@ -92,7 +92,7 @@ requests==2.28.2
# via
# pygithub
# sphinx
-rocm-docs-core==0.18.4
+rocm-docs-core==0.19.0
# via -r requirements.in
smmap==5.0.0
# via gitdb
diff --git a/docs/hipify-clang.md b/docs/hipify-clang.md
index eb213a33..4e437667 100644
--- a/docs/hipify-clang.md
+++ b/docs/hipify-clang.md
@@ -23,7 +23,7 @@ After applying all the matchers, the output HIP source is produced.
1. [**LLVM+CLANG**](http://releases.llvm.org) of at least version [4.0.0](http://releases.llvm.org/download.html#4.0.0); the latest stable and recommended release: [**16.0.6**](https://github.com/llvm/llvm-project/releases/tag/llvmorg-16.0.6).
-2. [**CUDA**](https://developer.nvidia.com/cuda-downloads) of at least version [8.0](https://developer.nvidia.com/cuda-80-ga2-download-archive), the latest supported version is [**12.1.1**](https://developer.nvidia.com/cuda-downloads).
+2. [**CUDA**](https://developer.nvidia.com/cuda-downloads) of at least version [8.0](https://developer.nvidia.com/cuda-80-ga2-download-archive), the latest supported version is [**12.2.0**](https://developer.nvidia.com/cuda-downloads).
<table align="center">
<thead>
@@ -169,12 +169,12 @@ After applying all the matchers, the output HIP source is produced.
<a href="https://github.com/llvm/llvm-project/releases/tag/llvmorg-16.0.4">16.0.4</a>,
<a href="https://github.com/llvm/llvm-project/releases/tag/llvmorg-16.0.5">16.0.5</a>,<br>
<a href="https://github.com/llvm/llvm-project/releases/tag/llvmorg-16.0.6"><b>16.0.6</b></a></td>
- <td bgcolor="eefaeb"><a href="https://developer.nvidia.com/cuda-downloads"><b>12.1.1</b></a></td>
+ <td bgcolor="eefaeb"><a href="https://developer.nvidia.com/cuda-downloads"><b>12.2.0</b></a></td>
<td colspan=2 bgcolor="eefaeb"><font color="green"><b>LATEST STABLE CONFIG</b></font></td>
</tr>
<tr align="center">
<td><a href="https://github.com/llvm/llvm-project">17.0.0git</a></td>
- <td><a href="https://developer.nvidia.com/cuda-downloads">12.1.1</a></td>
+ <td><a href="https://developer.nvidia.com/cuda-downloads">12.2.0</a></td>
<td>+</td>
<td>+</td>
</tr>
@@ -199,14 +199,14 @@ To process a file, `hipify-clang` needs access to the same headers that would be
For example:
```shell
-./hipify-clang square.cu --cuda-path=/usr/local/cuda-12.1 -I /usr/local/cuda-12.1/samples/common/inc
+./hipify-clang square.cu --cuda-path=/usr/local/cuda-12.2 -I /usr/local/cuda-12.2/samples/common/inc
```
`hipify-clang` arguments are given first, followed by a separator `'--'`, and then the arguments you'd pass to `clang` if you
were compiling the input file. For example:
```bash
-./hipify-clang cpp17.cu --cuda-path=/usr/local/cuda-12.1 -- -std=c++17
+./hipify-clang cpp17.cu --cuda-path=/usr/local/cuda-12.2 -- -std=c++17
```
The [Clang manual for compiling CUDA](https://llvm.org/docs/CompileCudaWithLLVM.html#compiling-cuda-code) may be useful.
@@ -327,9 +327,9 @@ Run `Visual Studio 17 2022`, open the generated `LLVM.sln`, build all, build pro
- ***Linux***: `-DCUDA_TOOLKIT_ROOT_DIR=/usr/include`
- - ***Windows***: `-DCUDA_TOOLKIT_ROOT_DIR="c:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1"`
+ - ***Windows***: `-DCUDA_TOOLKIT_ROOT_DIR="c:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.2"`
- `-DCUDA_SDK_ROOT_DIR="c:/ProgramData/NVIDIA Corporation/CUDA Samples/v12.1"`
+ `-DCUDA_SDK_ROOT_DIR="c:/ProgramData/NVIDIA Corporation/CUDA Samples/v12.2"`
4. Ensure [`cuDNN`](https://developer.nvidia.com/rdp/cudnn-archive) of the version corresponding to CUDA's version is installed.
@@ -389,7 +389,7 @@ Ubuntu 14: LLVM 4.0.0 - 7.1.0, CUDA 7.0 - 9.0, cuDNN 5.0.5 - 7.6.5
Ubuntu 16-18: LLVM 8.0.0 - 14.0.6, CUDA 8.0 - 10.2, cuDNN 5.1.10 - 8.0.5
-Ubuntu 20-21: LLVM 9.0.0 - 16.0.6, CUDA 8.0 - 12.1.1, cuDNN 5.1.10 - 8.9.2
+Ubuntu 20-21: LLVM 9.0.0 - 16.0.6, CUDA 8.0 - 12.2.0, cuDNN 5.1.10 - 8.9.2
Minimum build system requirements for the above configurations:
@@ -443,7 +443,7 @@ cmake
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
-- Found Threads: TRUE
--- Found CUDA: /usr/local/cuda (found version "12.1")
+-- Found CUDA: /usr/local/cuda (found version "12.2")
-- Configuring done
-- Generating done
-- Build files have been written to: /usr/hipify/build
@@ -457,7 +457,7 @@ make test-hipify
```shell
Running HIPify regression tests
========================================
-CUDA 12.1 - will be used for testing
+CUDA 12.2 - will be used for testing
LLVM 16.0.6 - will be used for testing
x86_64 - Platform architecture
Linux 5.13.0-21-generic - Platform OS
@@ -576,8 +576,8 @@ Testing Time: 7.90s
| 12.0.0 - 13.0.1 | 7.0 - 11.5.1 | 7.6.5 - 8.3.2 | 2017.15.9.43, 2019.16.11.9 | 3.22.2 | 3.10.2 |
| 14.0.0 - 14.0.6 | 7.0 - 11.7.1 | 8.0.5 - 8.4.1 | 2017.15.9.49, 2019.16.11.17, 2022.17.2.6 | 3.24.0 | 3.10.6 |
| 15.0.0 - 15.0.7 | 7.0 - 11.8.0 | 8.0.5 - 8.8.1 | 2017.15.9.53, 2019.16.11.25, 2022.17.5.2 | 3.26.0 | 3.11.2 |
-| 16.0.0 - 16.0.6 | 7.0 - 12.1.1 | 8.0.5 - 8.9.2 | 2017.15.9.55, 2019.16.11.27, 2022.17.6.4 | 3.26.4 | 3.11.4 |
-| 17.0.0git | 7.0 - 12.1.1 | 8.0.5 - 8.9.2 | 2017.15.9.55, 2019.16.11.27, 2022.17.6.4 | 3.26.4 | 3.11.4 |
+| 16.0.0 - 16.0.6 | 7.0 - 12.2.0 | 8.0.5 - 8.9.2 | 2017.15.9.55, 2019.16.11.27, 2022.17.6.4 | 3.26.4 | 3.11.4 |
+| 17.0.0git | 7.0 - 12.2.0 | 8.0.5 - 8.9.2 | 2017.15.9.55, 2019.16.11.27, 2022.17.6.4 | 3.26.4 | 3.11.4 |
*Building with testing support by `Visual Studio 17 2022` on `Windows 10`:*
@@ -590,9 +590,9 @@ cmake
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_INSTALL_PREFIX=../dist \
-DCMAKE_PREFIX_PATH=d:/LLVM/16.0.6/dist \
- -DCUDA_TOOLKIT_ROOT_DIR="c:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1" \
- -DCUDA_SDK_ROOT_DIR="c:/ProgramData/NVIDIA Corporation/CUDA Samples/v12.1" \
- -DCUDA_DNN_ROOT_DIR=d:/CUDNN/cudnn-12.1-windows-x64-v8.9.2 \
+ -DCUDA_TOOLKIT_ROOT_DIR="c:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.2" \
+ -DCUDA_SDK_ROOT_DIR="c:/ProgramData/NVIDIA Corporation/CUDA Samples/v12.2" \
+ -DCUDA_DNN_ROOT_DIR=d:/CUDNN/cudnn-12.2-windows-x64-v8.9.2 \
-DCUDA_CUB_ROOT_DIR=d:/GIT/cub \
-DLLVM_EXTERNAL_LIT=d:/LLVM/16.0.6/build/Release/bin/llvm-lit.py \
../hipify
@@ -606,7 +606,7 @@ cmake
-- Found PythonInterp: c:/Program Files/Python311/python.exe (found suitable version "3.11.4", minimum required is "3.6")
-- Found lit: c:/Program Files/Python311/Scripts/lit.exe
-- Found FileCheck: d:/LLVM/16.0.6/dist/bin/FileCheck.exe
--- Found CUDA: c:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1 (found version "12.1")
+-- Found CUDA: c:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.2 (found version "12.2")
-- Configuring done
-- Generating done
-- Build files have been written to: d:/hipify/build
diff --git a/docs/tables/CUBLAS_API_supported_by_HIP.md b/docs/tables/CUBLAS_API_supported_by_HIP.md
index 2c350b76..b0850b1d 100644
--- a/docs/tables/CUBLAS_API_supported_by_HIP.md
+++ b/docs/tables/CUBLAS_API_supported_by_HIP.md
@@ -182,7 +182,7 @@
|`cublasSetAtomicsMode`| | | |`hipblasSetAtomicsMode`|3.10.0| | | |
|`cublasSetKernelStream`| | | | | | | | |
|`cublasSetLoggerCallback`|9.2| | | | | | | |
-|`cublasSetMathMode`| | | | | | | | |
+|`cublasSetMathMode`|9.0| | | | | | | |
|`cublasSetMatrix`| | | |`hipblasSetMatrix`|1.8.2| | | |
|`cublasSetMatrixAsync`| | | |`hipblasSetMatrixAsync`|3.7.0| | | |
|`cublasSetMatrixAsync_64`|12.0| | | | | | | |
diff --git a/docs/tables/CUBLAS_API_supported_by_HIP_and_ROC.md b/docs/tables/CUBLAS_API_supported_by_HIP_and_ROC.md
index 8c232a5c..282b2eca 100644
--- a/docs/tables/CUBLAS_API_supported_by_HIP_and_ROC.md
+++ b/docs/tables/CUBLAS_API_supported_by_HIP_and_ROC.md
@@ -8,7 +8,7 @@
|`CUBLAS_ATOMICS_NOT_ALLOWED`| | | |`HIPBLAS_ATOMICS_NOT_ALLOWED`|3.10.0| | | |`rocblas_atomics_not_allowed`|3.8.0| | | |
|`CUBLAS_COMPUTE_16F`|11.0| | | | | | | | | | | | |
|`CUBLAS_COMPUTE_16F_PEDANTIC`|11.0| | | | | | | | | | | | |
-|`CUBLAS_COMPUTE_32F`|11.0| | | | | | | | | | | | |
+|`CUBLAS_COMPUTE_32F`|11.0| | | | | | | |`rocblas_compute_type_f32`|5.7.0| | | |
|`CUBLAS_COMPUTE_32F_FAST_16BF`|11.0| | | | | | | | | | | | |
|`CUBLAS_COMPUTE_32F_FAST_16F`|11.0| | | | | | | | | | | | |
|`CUBLAS_COMPUTE_32F_FAST_TF32`|11.0| | | | | | | | | | | | |
@@ -17,7 +17,7 @@
|`CUBLAS_COMPUTE_32I_PEDANTIC`|11.0| | | | | | | | | | | | |
|`CUBLAS_COMPUTE_64F`|11.0| | | | | | | | | | | | |
|`CUBLAS_COMPUTE_64F_PEDANTIC`|11.0| | | | | | | | | | | | |
-|`CUBLAS_DEFAULT_MATH`|9.0| | | | | | | | | | | | |
+|`CUBLAS_DEFAULT_MATH`|9.0| | | | | | | |`rocblas_default_math`|5.7.0| | | |
|`CUBLAS_DIAG_NON_UNIT`| | | |`HIPBLAS_DIAG_NON_UNIT`|1.8.2| | | |`rocblas_diagonal_non_unit`|1.5.0| | | |
|`CUBLAS_DIAG_UNIT`| | | |`HIPBLAS_DIAG_UNIT`|1.8.2| | | |`rocblas_diagonal_unit`|1.5.0| | | |
|`CUBLAS_FILL_MODE_FULL`|10.1| | |`HIPBLAS_FILL_MODE_FULL`|1.8.2| | | |`rocblas_fill_full`|1.5.0| | | |
@@ -89,16 +89,16 @@
|`CUBLAS_STATUS_NOT_SUPPORTED`| | | |`HIPBLAS_STATUS_NOT_SUPPORTED`|1.8.2| | | |`rocblas_status_perf_degraded`|3.5.0| | | |
|`CUBLAS_STATUS_SUCCESS`| | | |`HIPBLAS_STATUS_SUCCESS`|1.8.2| | | |`rocblas_status_success`|1.5.0| | | |
|`CUBLAS_TENSOR_OP_MATH`|9.0|11.0| | | | | | | | | | | |
-|`CUBLAS_TF32_TENSOR_OP_MATH`|11.0| | | | | | | | | | | | |
+|`CUBLAS_TF32_TENSOR_OP_MATH`|11.0| | | | | | | |`rocblas_xf32_xdl_math_op`|5.7.0| | | |
|`cublasAtomicsMode_t`| | | |`hipblasAtomicsMode_t`|3.10.0| | | |`rocblas_atomics_mode`|3.8.0| | | |
-|`cublasComputeType_t`|11.0| | |`hipblasDatatype_t`|1.8.2| | | | | | | | |
+|`cublasComputeType_t`|11.0| | |`hipblasDatatype_t`|1.8.2| | | |`rocblas_computetype`|5.7.0| | | |
|`cublasContext`| | | | | | | | |`_rocblas_handle`|1.5.0| | | |
|`cublasDataType_t`|7.5| | |`hipblasDatatype_t`|1.8.2| | | |`rocblas_datatype`|1.8.2| | | |
|`cublasDiagType_t`| | | |`hipblasDiagType_t`|1.8.2| | | |`rocblas_diagonal`|1.5.0| | | |
|`cublasFillMode_t`| | | |`hipblasFillMode_t`|1.8.2| | | |`rocblas_fill`|1.5.0| | | |
|`cublasGemmAlgo_t`|8.0| | |`hipblasGemmAlgo_t`|1.8.2| | | |`rocblas_gemm_algo`|1.8.2| | | |
|`cublasHandle_t`| | | |`hipblasHandle_t`|3.0.0| | | |`rocblas_handle`|1.5.0| | | |
-|`cublasMath_t`|9.0| | | | | | | | | | | | |
+|`cublasMath_t`|9.0| | | | | | | |`rocblas_math_mode`|5.7.0| | | |
|`cublasOperation_t`| | | |`hipblasOperation_t`|1.8.2| | | |`rocblas_operation`|1.5.0| | | |
|`cublasPointerMode_t`| | | |`hipblasPointerMode_t`|1.8.2| | | |`rocblas_pointer_mode`|1.6.0| | | |
|`cublasSideMode_t`| | | |`hipblasSideMode_t`|1.8.2| | | |`rocblas_side`|1.5.0| | | |
@@ -156,7 +156,7 @@
|`cublasGetCudartVersion`|10.1| | | | | | | | | | | | |
|`cublasGetError`| | | | | | | | | | | | | |
|`cublasGetLoggerCallback`|9.2| | | | | | | | | | | | |
-|`cublasGetMathMode`|9.0| | | | | | | | | | | | |
+|`cublasGetMathMode`|9.0| | | | | | | |`rocblas_get_math_mode`|5.7.0| | | |
|`cublasGetMatrix`| | | |`hipblasGetMatrix`|1.8.2| | | |`rocblas_get_matrix`|1.6.0| | | |
|`cublasGetMatrixAsync`| | | |`hipblasGetMatrixAsync`|3.7.0| | | |`rocblas_get_matrix_async`|3.5.0| | | |
|`cublasGetMatrixAsync_64`|12.0| | | | | | | | | | | | |
@@ -182,7 +182,7 @@
|`cublasSetAtomicsMode`| | | |`hipblasSetAtomicsMode`|3.10.0| | | |`rocblas_set_atomics_mode`|3.8.0| | | |
|`cublasSetKernelStream`| | | | | | | | | | | | | |
|`cublasSetLoggerCallback`|9.2| | | | | | | | | | | | |
-|`cublasSetMathMode`| | | | | | | | | | | | | |
+|`cublasSetMathMode`|9.0| | | | | | | |`rocblas_set_math_mode`|5.7.0| | | |
|`cublasSetMatrix`| | | |`hipblasSetMatrix`|1.8.2| | | |`rocblas_set_matrix`|1.6.0| | | |
|`cublasSetMatrixAsync`| | | |`hipblasSetMatrixAsync`|3.7.0| | | |`rocblas_set_matrix_async`|3.5.0| | | |
|`cublasSetMatrixAsync_64`|12.0| | | | | | | | | | | | |
diff --git a/docs/tables/CUBLAS_API_supported_by_ROC.md b/docs/tables/CUBLAS_API_supported_by_ROC.md
index c1ab92b9..8d89c7ca 100644
--- a/docs/tables/CUBLAS_API_supported_by_ROC.md
+++ b/docs/tables/CUBLAS_API_supported_by_ROC.md
@@ -8,7 +8,7 @@
|`CUBLAS_ATOMICS_NOT_ALLOWED`| | | |`rocblas_atomics_not_allowed`|3.8.0| | | |
|`CUBLAS_COMPUTE_16F`|11.0| | | | | | | |
|`CUBLAS_COMPUTE_16F_PEDANTIC`|11.0| | | | | | | |
-|`CUBLAS_COMPUTE_32F`|11.0| | | | | | | |
+|`CUBLAS_COMPUTE_32F`|11.0| | |`rocblas_compute_type_f32`|5.7.0| | | |
|`CUBLAS_COMPUTE_32F_FAST_16BF`|11.0| | | | | | | |
|`CUBLAS_COMPUTE_32F_FAST_16F`|11.0| | | | | | | |
|`CUBLAS_COMPUTE_32F_FAST_TF32`|11.0| | | | | | | |
@@ -17,7 +17,7 @@
|`CUBLAS_COMPUTE_32I_PEDANTIC`|11.0| | | | | | | |
|`CUBLAS_COMPUTE_64F`|11.0| | | | | | | |
|`CUBLAS_COMPUTE_64F_PEDANTIC`|11.0| | | | | | | |
-|`CUBLAS_DEFAULT_MATH`|9.0| | | | | | | |
+|`CUBLAS_DEFAULT_MATH`|9.0| | |`rocblas_default_math`|5.7.0| | | |
|`CUBLAS_DIAG_NON_UNIT`| | | |`rocblas_diagonal_non_unit`|1.5.0| | | |
|`CUBLAS_DIAG_UNIT`| | | |`rocblas_diagonal_unit`|1.5.0| | | |
|`CUBLAS_FILL_MODE_FULL`|10.1| | |`rocblas_fill_full`|1.5.0| | | |
@@ -89,16 +89,16 @@
|`CUBLAS_STATUS_NOT_SUPPORTED`| | | |`rocblas_status_perf_degraded`|3.5.0| | | |
|`CUBLAS_STATUS_SUCCESS`| | | |`rocblas_status_success`|1.5.0| | | |
|`CUBLAS_TENSOR_OP_MATH`|9.0|11.0| | | | | | |
-|`CUBLAS_TF32_TENSOR_OP_MATH`|11.0| | | | | | | |
+|`CUBLAS_TF32_TENSOR_OP_MATH`|11.0| | |`rocblas_xf32_xdl_math_op`|5.7.0| | | |
|`cublasAtomicsMode_t`| | | |`rocblas_atomics_mode`|3.8.0| | | |
-|`cublasComputeType_t`|11.0| | | | | | | |
+|`cublasComputeType_t`|11.0| | |`rocblas_computetype`|5.7.0| | | |
|`cublasContext`| | | |`_rocblas_handle`|1.5.0| | | |
|`cublasDataType_t`|7.5| | |`rocblas_datatype`|1.8.2| | | |
|`cublasDiagType_t`| | | |`rocblas_diagonal`|1.5.0| | | |
|`cublasFillMode_t`| | | |`rocblas_fill`|1.5.0| | | |
|`cublasGemmAlgo_t`|8.0| | |`rocblas_gemm_algo`|1.8.2| | | |
|`cublasHandle_t`| | | |`rocblas_handle`|1.5.0| | | |
-|`cublasMath_t`|9.0| | | | | | | |
+|`cublasMath_t`|9.0| | |`rocblas_math_mode`|5.7.0| | | |
|`cublasOperation_t`| | | |`rocblas_operation`|1.5.0| | | |
|`cublasPointerMode_t`| | | |`rocblas_pointer_mode`|1.6.0| | | |
|`cublasSideMode_t`| | | |`rocblas_side`|1.5.0| | | |
@@ -156,7 +156,7 @@
|`cublasGetCudartVersion`|10.1| | | | | | | |
|`cublasGetError`| | | | | | | | |
|`cublasGetLoggerCallback`|9.2| | | | | | | |
-|`cublasGetMathMode`|9.0| | | | | | | |
+|`cublasGetMathMode`|9.0| | |`rocblas_get_math_mode`|5.7.0| | | |
|`cublasGetMatrix`| | | |`rocblas_get_matrix`|1.6.0| | | |
|`cublasGetMatrixAsync`| | | |`rocblas_get_matrix_async`|3.5.0| | | |
|`cublasGetMatrixAsync_64`|12.0| | | | | | | |
@@ -182,7 +182,7 @@
|`cublasSetAtomicsMode`| | | |`rocblas_set_atomics_mode`|3.8.0| | | |
|`cublasSetKernelStream`| | | | | | | | |
|`cublasSetLoggerCallback`|9.2| | | | | | | |
-|`cublasSetMathMode`| | | | | | | | |
+|`cublasSetMathMode`|9.0| | |`rocblas_set_math_mode`|5.7.0| | | |
|`cublasSetMatrix`| | | |`rocblas_set_matrix`|1.6.0| | | |
|`cublasSetMatrixAsync`| | | |`rocblas_set_matrix_async`|3.5.0| | | |
|`cublasSetMatrixAsync_64`|12.0| | | | | | | |
diff --git a/docs/tables/CUDA_Device_API_supported_by_HIP.md b/docs/tables/CUDA_Device_API_supported_by_HIP.md
index a44ed3a9..a38bc6b4 100644
--- a/docs/tables/CUDA_Device_API_supported_by_HIP.md
+++ b/docs/tables/CUDA_Device_API_supported_by_HIP.md
@@ -12,6 +12,7 @@
|`__ballot`| | | |`__ballot`|1.6.0| | | |
|`__bfloat1622float2`|11.0| | | | | | | |
|`__bfloat162bfloat162`|11.0| | | | | | | |
+|`__bfloat162char_rz`|12.2| | | | | | | |
|`__bfloat162float`|11.0| | | | | | | |
|`__bfloat162int_rd`|11.0| | | | | | | |
|`__bfloat162int_rn`|11.0| | | | | | | |
@@ -25,6 +26,7 @@
|`__bfloat162short_rn`|11.0| | | | | | | |
|`__bfloat162short_ru`|11.0| | | | | | | |
|`__bfloat162short_rz`|11.0| | | | | | | |
+|`__bfloat162uchar_rz`|12.2| | | | | | | |
|`__bfloat162uint_rd`|11.0| | | | | | | |
|`__bfloat162uint_rn`|11.0| | | | | | | |
|`__bfloat162uint_ru`|11.0| | | | | | | |
@@ -111,6 +113,7 @@
|`__finite`| | | | | | | | |
|`__finitef`| | | | | | | | |
|`__finitel`| | | | | | | | |
+|`__float22bfloat162_rn`|11.0| | | | | | | |
|`__float22half2_rn`| | | |`__float22half2_rn`|1.6.0| | | |
|`__float2bfloat16`|11.0| | | | | | | |
|`__float2bfloat162_rn`|11.0| | | | | | | |
@@ -183,6 +186,7 @@
|`__hadd_rn`|11.6| | | | | | | |
|`__hadd_sat`| | | |`__hadd_sat`|1.6.0| | | |
|`__half22float2`| | | |`__half22float2`|1.6.0| | | |
+|`__half2char_rz`|12.2| | | | | | | |
|`__half2float`| | | |`__half2float`|1.6.0| | | |
|`__half2half2`| | | |`__half2half2`|1.9.0| | | |
|`__half2int_rd`| | | |`__half2int_rd`|1.6.0| | | |
@@ -197,6 +201,7 @@
|`__half2short_rn`| | | |`__half2short_rn`|1.6.0| | | |
|`__half2short_ru`| | | |`__half2short_ru`|1.6.0| | | |
|`__half2short_rz`| | | |`__half2short_rz`|1.6.0| | | |
+|`__half2uchar_rz`|12.2| | | | | | | |
|`__half2uint_rd`| | | |`__half2uint_rd`|1.6.0| | | |
|`__half2uint_rn`| | | |`__half2uint_rn`|1.6.0| | | |
|`__half2uint_ru`| | | |`__half2uint_ru`|1.6.0| | | |
@@ -707,6 +712,8 @@
|`lrintf`| | | |`lrintf`|1.6.0| | | |
|`lround`| | | |`lround`|1.6.0| | | |
|`lroundf`| | | |`lroundf`|1.6.0| | | |
+|`make_bfloat162`|12.2| | | | | | | |
+|`make_half2`|12.2| | | | | | | |
|`max`| | | |`max`|1.6.0| | | |
|`min`| | | |`min`|1.6.0| | | |
|`modf`| | | |`modf`|1.9.0| | | |
diff --git a/docs/tables/CUDA_Driver_API_functions_supported_by_HIP.md b/docs/tables/CUDA_Driver_API_functions_supported_by_HIP.md
index b43fa72e..dca42564 100644
--- a/docs/tables/CUDA_Driver_API_functions_supported_by_HIP.md
+++ b/docs/tables/CUDA_Driver_API_functions_supported_by_HIP.md
@@ -479,6 +479,8 @@
|`CU_DEVICE_ATTRIBUTE_WARP_SIZE`| | | |`hipDeviceAttributeWarpSize`|1.6.0| | | |
|`CU_DEVICE_CPU`|8.0| | |`hipCpuDeviceId`|3.7.0| | | |
|`CU_DEVICE_INVALID`|8.0| | |`hipInvalidDeviceId`|3.7.0| | | |
+|`CU_DEVICE_NUMA_CONFIG_NONE`|12.2| | | | | | | |
+|`CU_DEVICE_NUMA_CONFIG_NUMA_NODE`|12.2| | | | | | | |
|`CU_DEVICE_P2P_ATTRIBUTE_ACCESS_ACCESS_SUPPORTED`|10.1|10.1| |`hipDevP2PAttrHipArrayAccessSupported`|3.8.0| | | |
|`CU_DEVICE_P2P_ATTRIBUTE_ACCESS_SUPPORTED`|8.0| | |`hipDevP2PAttrAccessSupported`|3.8.0| | | |
|`CU_DEVICE_P2P_ATTRIBUTE_ARRAY_ACCESS_ACCESS_SUPPORTED`|9.2|10.0|10.1|`hipDevP2PAttrHipArrayAccessSupported`|3.8.0| | | |
@@ -1588,9 +1590,9 @@
|`cuMemsetD8`| | | |`hipMemsetD8`|1.6.0| | | |
|`cuMemsetD8Async`| | | |`hipMemsetD8Async`|3.0.0| | | |
|`cuMemsetD8_v2`| | | |`hipMemsetD8`|1.6.0| | | |
-|`cuMipmappedArrayCreate`| | | |`hipMipmappedArrayCreate`|3.5.0| | | |
-|`cuMipmappedArrayDestroy`| | | |`hipMipmappedArrayDestroy`|3.5.0| | | |
-|`cuMipmappedArrayGetLevel`| | | |`hipMipmappedArrayGetLevel`|3.5.0| | | |
+|`cuMipmappedArrayCreate`| | | |`hipMipmappedArrayCreate`|3.5.0|5.7.0| | |
+|`cuMipmappedArrayDestroy`| | | |`hipMipmappedArrayDestroy`|3.5.0|5.7.0| | |
+|`cuMipmappedArrayGetLevel`| | | |`hipMipmappedArrayGetLevel`|3.5.0|5.7.0| | |
|`cuMipmappedArrayGetMemoryRequirements`|11.6| | | | | | | |
## **14. Virtual Memory Management**
@@ -1647,7 +1649,9 @@
|**CUDA**|**A**|**D**|**R**|**HIP**|**A**|**D**|**R**|**E**|
|:--|:-:|:-:|:-:|:--|:-:|:-:|:-:|:-:|
|`cuMemAdvise`|8.0| | |`hipMemAdvise`|3.7.0| | | |
+|`cuMemAdvise_v2`|12.2| | | | | | | |
|`cuMemPrefetchAsync`|8.0| | |`hipMemPrefetchAsync`|3.7.0| | | |
+|`cuMemPrefetchAsync_v2`|12.2| | | | | | | |
|`cuMemRangeGetAttribute`|8.0| | |`hipMemRangeGetAttribute`|3.7.0| | | |
|`cuMemRangeGetAttributes`|8.0| | |`hipMemRangeGetAttributes`|3.7.0| | | |
|`cuPointerGetAttribute`| | | |`hipPointerGetAttribute`|5.0.0| | | |
@@ -1776,6 +1780,7 @@
|`cuGraphAddMemFreeNode`|11.4| | |`hipGraphAddMemFreeNode`|5.5.0| | | |
|`cuGraphAddMemcpyNode`|10.0| | | | | | | |
|`cuGraphAddMemsetNode`|10.0| | | | | | | |
+|`cuGraphAddNode`|12.2| | | | | | | |
|`cuGraphBatchMemOpNodeGetParams`|11.7| | | | | | | |
|`cuGraphBatchMemOpNodeSetParams`|11.7| | | | | | | |
|`cuGraphChildGraphNodeGetGraph`|10.0| | |`hipGraphChildGraphNodeGetGraph`|5.0.0| | | |
@@ -1800,6 +1805,7 @@
|`cuGraphExecKernelNodeSetParams`|10.1| | |`hipGraphExecKernelNodeSetParams`|4.5.0| | | |
|`cuGraphExecMemcpyNodeSetParams`|10.2| | | | | | | |
|`cuGraphExecMemsetNodeSetParams`|10.2| | | | | | | |
+|`cuGraphExecNodeSetParams`|12.2| | | | | | | |
|`cuGraphExecUpdate`|10.2| | |`hipGraphExecUpdate`|5.0.0| | | |
|`cuGraphExternalSemaphoresSignalNodeGetParams`|11.2| | | | | | | |
|`cuGraphExternalSemaphoresSignalNodeSetParams`|11.2| | | | | | | |
@@ -1832,6 +1838,7 @@
|`cuGraphNodeGetEnabled`|11.6| | |`hipGraphNodeGetEnabled`|5.5.0| | | |
|`cuGraphNodeGetType`|10.0| | |`hipGraphNodeGetType`|5.0.0| | | |
|`cuGraphNodeSetEnabled`|11.6| | |`hipGraphNodeSetEnabled`|5.5.0| | | |
+|`cuGraphNodeSetParams`|12.2| | | | | | | |
|`cuGraphReleaseUserObject`|11.3| | |`hipGraphReleaseUserObject`|5.3.0| | | |
|`cuGraphRemoveDependencies`|10.0| | |`hipGraphRemoveDependencies`|5.0.0| | | |
|`cuGraphRetainUserObject`|11.3| | |`hipGraphRetainUserObject`|5.3.0| | | |
diff --git a/docs/tables/CUDA_Runtime_API_functions_supported_by_HIP.md b/docs/tables/CUDA_Runtime_API_functions_supported_by_HIP.md
index eb93726b..4f8a4eb3 100644
--- a/docs/tables/CUDA_Runtime_API_functions_supported_by_HIP.md
+++ b/docs/tables/CUDA_Runtime_API_functions_supported_by_HIP.md
@@ -171,8 +171,10 @@
|`cudaMallocMipmappedArray`| | | |`hipMallocMipmappedArray`|3.5.0| | | |
|`cudaMallocPitch`| | | |`hipMallocPitch`|1.6.0| | | |
|`cudaMemAdvise`|8.0| | |`hipMemAdvise`|3.7.0| | | |
+|`cudaMemAdvise_v2`|12.2| | | | | | | |
|`cudaMemGetInfo`| | | |`hipMemGetInfo`|1.6.0| | | |
|`cudaMemPrefetchAsync`|8.0| | |`hipMemPrefetchAsync`|3.7.0| | | |
+|`cudaMemPrefetchAsync_v2`|12.2| | | | | | | |
|`cudaMemRangeGetAttribute`|8.0| | |`hipMemRangeGetAttribute`|3.7.0| | | |
|`cudaMemRangeGetAttributes`|8.0| | |`hipMemRangeGetAttributes`|3.7.0| | | |
|`cudaMemcpy`| | | |`hipMemcpy`|1.5.0| | | |
@@ -424,6 +426,7 @@
|`cudaGraphAddMemcpyNodeFromSymbol`|11.1| | |`hipGraphAddMemcpyNodeFromSymbol`|5.0.0| | | |
|`cudaGraphAddMemcpyNodeToSymbol`|11.1| | |`hipGraphAddMemcpyNodeToSymbol`|5.0.0| | | |
|`cudaGraphAddMemsetNode`|10.0| | |`hipGraphAddMemsetNode`|4.3.0| | | |
+|`cudaGraphAddNode`|12.2| | | | | | | |
|`cudaGraphChildGraphNodeGetGraph`|10.0| | |`hipGraphChildGraphNodeGetGraph`|5.0.0| | | |
|`cudaGraphClone`|10.0| | |`hipGraphClone`|5.0.0| | | |
|`cudaGraphCreate`|10.0| | |`hipGraphCreate`|4.3.0| | | |
@@ -448,6 +451,7 @@
|`cudaGraphExecMemcpyNodeSetParamsFromSymbol`|11.1| | |`hipGraphExecMemcpyNodeSetParamsFromSymbol`|5.0.0| | | |
|`cudaGraphExecMemcpyNodeSetParamsToSymbol`|11.1| | |`hipGraphExecMemcpyNodeSetParamsToSymbol`|5.0.0| | | |
|`cudaGraphExecMemsetNodeSetParams`|11.0| | |`hipGraphExecMemsetNodeSetParams`|5.0.0| | | |
+|`cudaGraphExecNodeSetParams`|12.2| | | | | | | |
|`cudaGraphExecUpdate`|11.0| | |`hipGraphExecUpdate`|5.0.0| | | |
|`cudaGraphExternalSemaphoresSignalNodeGetParams`|11.2| | | | | | | |
|`cudaGraphExternalSemaphoresSignalNodeSetParams`|11.2| | | | | | | |
@@ -482,6 +486,7 @@
|`cudaGraphNodeGetEnabled`|11.6| | |`hipGraphNodeGetEnabled`|5.5.0| | | |
|`cudaGraphNodeGetType`|11.0| | |`hipGraphNodeGetType`|5.0.0| | | |
|`cudaGraphNodeSetEnabled`|11.6| | |`hipGraphNodeSetEnabled`|5.5.0| | | |
+|`cudaGraphNodeSetParams`|12.2| | | | | | | |
|`cudaGraphReleaseUserObject`|11.3| | |`hipGraphReleaseUserObject`|5.3.0| | | |
|`cudaGraphRemoveDependencies`|11.0| | |`hipGraphRemoveDependencies`|5.0.0| | | |
|`cudaGraphRetainUserObject`|11.3| | |`hipGraphRetainUserObject`|5.3.0| | | |
@@ -595,6 +600,7 @@
|`cudaChannelFormatKindUnsignedNormalized8X1`|11.5| | | | | | | |
|`cudaChannelFormatKindUnsignedNormalized8X2`|11.5| | | | | | | |
|`cudaChannelFormatKindUnsignedNormalized8X4`|11.5| | | | | | | |
+|`cudaChildGraphNodeParams`|12.2| | | | | | | |
|`cudaClusterSchedulingPolicy`|11.8| | | | | | | |
|`cudaClusterSchedulingPolicyDefault`|11.8| | | | | | | |
|`cudaClusterSchedulingPolicyLoadBalancing`|11.8| | | | | | | |
@@ -657,6 +663,7 @@
|`cudaDevAttrGlobalMemoryBusWidth`| | | |`hipDeviceAttributeMemoryBusWidth`|1.6.0| | | |
|`cudaDevAttrGpuOverlap`| | | |`hipDeviceAttributeAsyncEngineCount`|4.3.0| | | |
|`cudaDevAttrHostNativeAtomicSupported`|8.0| | |`hipDeviceAttributeHostNativeAtomicSupported`|4.3.0| | | |
+|`cudaDevAttrHostNumaId`|12.2| | | | | | | |
|`cudaDevAttrHostRegisterReadOnlySupported`|11.1| | | | | | | |
|`cudaDevAttrHostRegisterSupported`|9.2| | | | | | | |
|`cudaDevAttrIntegrated`| | | |`hipDeviceAttributeIntegrated`|1.9.0| | | |
@@ -731,6 +738,8 @@
|`cudaDevAttrMemoryPoolsSupported`|11.2| | |`hipDeviceAttributeMemoryPoolsSupported`|5.2.0| | | |
|`cudaDevAttrMultiGpuBoardGroupID`| | | |`hipDeviceAttributeMultiGpuBoardGroupID`|5.0.0| | | |
|`cudaDevAttrMultiProcessorCount`| | | |`hipDeviceAttributeMultiprocessorCount`|1.6.0| | | |
+|`cudaDevAttrNumaConfig`|12.2| | | | | | | |
+|`cudaDevAttrNumaId`|12.2| | | | | | | |
|`cudaDevAttrPageableMemoryAccess`|8.0| | |`hipDeviceAttributePageableMemoryAccess`|3.10.0| | | |
|`cudaDevAttrPageableMemoryAccessUsesHostPageTables`|9.2| | |`hipDeviceAttributePageableMemoryAccessUsesHostPageTables`|3.10.0| | | |
|`cudaDevAttrPciBusId`| | | |`hipDeviceAttributePciBusId`|1.6.0| | | |
@@ -767,6 +776,9 @@
|`cudaDeviceLmemResizeToMax`| | | |`hipDeviceLmemResizeToMax`|1.6.0| | | |
|`cudaDeviceMapHost`| | | |`hipDeviceMapHost`|1.6.0| | | |
|`cudaDeviceMask`| | | | | | | | |
+|`cudaDeviceNumaConfig`|12.2| | | | | | | |
+|`cudaDeviceNumaConfigNone`|12.2| | | | | | | |
+|`cudaDeviceNumaConfigNumaNode`|12.2| | | | | | | |
|`cudaDeviceP2PAttr`|8.0| | |`hipDeviceP2PAttr`|3.8.0| | | |
|`cudaDeviceProp`| | | |`hipDeviceProp_t`|1.6.0| | | |
|`cudaDevicePropDontCare`| | |12.0| | | | | |
@@ -1002,8 +1014,10 @@
|`cudaEventInterprocess`| | | |`hipEventInterprocess`|1.6.0| | | |
|`cudaEventRecordDefault`|11.1| | | | | | | |
|`cudaEventRecordExternal`|11.1| | | | | | | |
+|`cudaEventRecordNodeParams`|12.2| | | | | | | |
|`cudaEventWaitDefault`|11.1| | | | | | | |
|`cudaEventWaitExternal`| | | | | | | | |
+|`cudaEventWaitNodeParams`|12.2| | | | | | | |
|`cudaEvent_t`| | | |`hipEvent_t`|1.6.0| | | |
|`cudaExtent`| | | |`hipExtent`|1.7.0| | | |
|`cudaExternalMemoryBufferDesc`|10.0| | |`hipExternalMemoryBufferDesc`|4.3.0| | | |
@@ -1033,10 +1047,12 @@
|`cudaExternalSemaphoreHandleTypeTimelineSemaphoreFd`|11.2| | | | | | | |
|`cudaExternalSemaphoreHandleTypeTimelineSemaphoreWin32`|11.2| | | | | | | |
|`cudaExternalSemaphoreSignalNodeParams`|11.2| | | | | | | |
+|`cudaExternalSemaphoreSignalNodeParamsV2`|12.2| | | | | | | |
|`cudaExternalSemaphoreSignalParams`|10.0| | |`hipExternalSemaphoreSignalParams`|4.4.0| | | |
|`cudaExternalSemaphoreSignalParams_v1`|11.2| | |`hipExternalSemaphoreSignalParams`|4.4.0| | | |
|`cudaExternalSemaphoreSignalSkipNvSciBufMemSync`|10.2| | | | | | | |
|`cudaExternalSemaphoreWaitNodeParams`|11.2| | | | | | | |
+|`cudaExternalSemaphoreWaitNodeParamsV2`|12.2| | | | | | | |
|`cudaExternalSemaphoreWaitParams`|10.0| | |`hipExternalSemaphoreWaitParams`|4.4.0| | | |
|`cudaExternalSemaphoreWaitParams_v1`|11.2| | |`hipExternalSemaphoreWaitParams`|4.4.0| | | |
|`cudaExternalSemaphoreWaitSkipNvSciBufMemSync`|10.2| | | | | | | |
@@ -1125,6 +1141,7 @@
|`cudaGraphMemAttrUsedMemCurrent`|11.4| | |`hipGraphMemAttrUsedMemCurrent`|5.3.0| | | |
|`cudaGraphMemAttrUsedMemHigh`|11.4| | |`hipGraphMemAttrUsedMemHigh`|5.3.0| | | |
|`cudaGraphMemAttributeType`|11.4| | |`hipGraphMemAttributeType`|5.3.0| | | |
+|`cudaGraphNodeParams`|12.2| | | | | | | |
|`cudaGraphNodeType`|10.0| | |`hipGraphNodeType`|4.3.0| | | |
|`cudaGraphNodeTypeCount`|10.0| | |`hipGraphNodeTypeCount`|4.3.0| | | |
|`cudaGraphNodeTypeEmpty`|10.0| | |`hipGraphNodeTypeEmpty`|4.3.0| | | |
@@ -1167,6 +1184,7 @@
|`cudaHostAllocWriteCombined`| | | |`hipHostMallocWriteCombined`|1.6.0| | | |
|`cudaHostFn_t`|10.0| | |`hipHostFn_t`|4.3.0| | | |
|`cudaHostNodeParams`|10.0| | |`hipHostNodeParams`|4.3.0| | | |
+|`cudaHostNodeParamsV2`|12.2| | | | | | | |
|`cudaHostRegisterDefault`| | | |`hipHostRegisterDefault`|1.6.0| | | |
|`cudaHostRegisterIoMemory`|7.5| | |`hipHostRegisterIoMemory`|1.6.0| | | |
|`cudaHostRegisterMapped`| | | |`hipHostRegisterMapped`|1.6.0| | | |
@@ -1189,6 +1207,7 @@
|`cudaKernelNodeAttributeMemSyncDomainMap`|12.0| | | | | | | |
|`cudaKernelNodeAttributePriority`|11.7| | | | | | | |
|`cudaKernelNodeParams`|10.0| | |`hipKernelNodeParams`|4.3.0| | | |
+|`cudaKernelNodeParamsV2`|12.2| | | | | | | |
|`cudaKernel_t`|12.1| | | | | | | |
|`cudaKeyValuePair`| | |12.0| | | | | |
|`cudaLaunchAttribute`|11.8| | | | | | | |
@@ -1234,6 +1253,7 @@
|`cudaMemAdviseUnsetPreferredLocation`|8.0| | |`hipMemAdviseUnsetPreferredLocation`|3.7.0| | | |
|`cudaMemAdviseUnsetReadMostly`|8.0| | |`hipMemAdviseUnsetReadMostly`|3.7.0| | | |
|`cudaMemAllocNodeParams`|11.4| | |`hipMemAllocNodeParams`|5.5.0| | | |
+|`cudaMemAllocNodeParamsV2`|12.2| | | | | | | |
|`cudaMemAllocationHandleType`|11.2| | |`hipMemAllocationHandleType`|5.2.0| | | |
|`cudaMemAllocationType`|11.2| | |`hipMemAllocationType`|5.2.0| | | |
|`cudaMemAllocationTypeInvalid`|11.2| | |`hipMemAllocationTypeInvalid`|5.2.0| | | |
@@ -1242,6 +1262,7 @@
|`cudaMemAttachGlobal`| | | |`hipMemAttachGlobal`|2.5.0| | | |
|`cudaMemAttachHost`| | | |`hipMemAttachHost`|2.5.0| | | |
|`cudaMemAttachSingle`| | | |`hipMemAttachSingle`|3.7.0| | | |
+|`cudaMemFreeNodeParams`|12.2| | | | | | | |
|`cudaMemHandleTypeNone`|11.2| | |`hipMemHandleTypeNone`|5.2.0| | | |
|`cudaMemHandleTypePosixFileDescriptor`|11.2| | |`hipMemHandleTypePosixFileDescriptor`|5.2.0| | | |
|`cudaMemHandleTypeWin32`|11.2| | |`hipMemHandleTypeWin32`|5.2.0| | | |
@@ -1249,6 +1270,9 @@
|`cudaMemLocation`|11.2| | |`hipMemLocation`|5.2.0| | | |
|`cudaMemLocationType`|11.2| | |`hipMemLocationType`|5.2.0| | | |
|`cudaMemLocationTypeDevice`|11.2| | |`hipMemLocationTypeDevice`|5.2.0| | | |
+|`cudaMemLocationTypeHost`|12.2| | | | | | | |
+|`cudaMemLocationTypeHostNuma`|12.2| | | | | | | |
+|`cudaMemLocationTypeHostNumaCurrent`|12.2| | | | | | | |
|`cudaMemLocationTypeInvalid`|11.2| | |`hipMemLocationTypeInvalid`|5.2.0| | | |
|`cudaMemPoolAttr`|11.2| | |`hipMemPoolAttr`|5.2.0| | | |
|`cudaMemPoolAttrReleaseThreshold`|11.2| | |`hipMemPoolAttrReleaseThreshold`|5.2.0| | | |
@@ -1265,7 +1289,11 @@
|`cudaMemRangeAttribute`|8.0| | |`hipMemRangeAttribute`|3.7.0| | | |
|`cudaMemRangeAttributeAccessedBy`|8.0| | |`hipMemRangeAttributeAccessedBy`|3.7.0| | | |
|`cudaMemRangeAttributeLastPrefetchLocation`|8.0| | |`hipMemRangeAttributeLastPrefetchLocation`|3.7.0| | | |
+|`cudaMemRangeAttributeLastPrefetchLocationId`|12.2| | | | | | | |
+|`cudaMemRangeAttributeLastPrefetchLocationType`|12.2| | | | | | | |
|`cudaMemRangeAttributePreferredLocation`|8.0| | |`hipMemRangeAttributePreferredLocation`|3.7.0| | | |
+|`cudaMemRangeAttributePreferredLocationId`|12.2| | | | | | | |
+|`cudaMemRangeAttributePreferredLocationType`|12.2| | | | | | | |
|`cudaMemRangeAttributeReadMostly`|8.0| | |`hipMemRangeAttributeReadMostly`|3.7.0| | | |
|`cudaMemcpy3DParms`| | | |`hipMemcpy3DParms`|1.7.0| | | |
|`cudaMemcpy3DPeerParms`| | | | | | | | |
@@ -1275,6 +1303,7 @@
|`cudaMemcpyHostToDevice`| | | |`hipMemcpyHostToDevice`|1.5.0| | | |
|`cudaMemcpyHostToHost`| | | |`hipMemcpyHostToHost`|1.5.0| | | |
|`cudaMemcpyKind`| | | |`hipMemcpyKind`|1.5.0| | | |
+|`cudaMemcpyNodeParams`|12.2| | | | | | | |
|`cudaMemoryAdvise`|8.0| | |`hipMemoryAdvise`|3.7.0| | | |
|`cudaMemoryType`| | | |`hipMemoryType`|1.6.0| | | |
|`cudaMemoryTypeDevice`| | | |`hipMemoryTypeDevice`|1.6.0| | | |
@@ -1282,6 +1311,7 @@
|`cudaMemoryTypeManaged`|10.0| | |`hipMemoryTypeManaged`|5.3.0| | | |
|`cudaMemoryTypeUnregistered`| | | | | | | | |
|`cudaMemsetParams`|10.0| | |`hipMemsetParams`|4.3.0| | | |
+|`cudaMemsetParamsV2`|12.2| | | | | | | |
|`cudaMipmappedArray`| | | |`hipMipmappedArray`|1.7.0| | | |
|`cudaMipmappedArray_const_t`| | | |`hipMipmappedArray_const_t`|1.6.0| | | |
|`cudaMipmappedArray_t`| | | |`hipMipmappedArray_t`|1.7.0| | | |
@@ -1418,7 +1448,7 @@
|`cudaBindTexture`| |11.0|12.0|`hipBindTexture`|1.6.0|3.8.0| | |
|`cudaBindTexture2D`| |11.0|12.0|`hipBindTexture2D`|1.7.0|3.8.0| | |
|`cudaBindTextureToArray`| |11.0|12.0|`hipBindTextureToArray`|1.6.0|3.8.0| | |
-|`cudaBindTextureToMipmappedArray`| |11.0|12.0|`hipBindTextureToMipmappedArray`|1.7.0| | | |
+|`cudaBindTextureToMipmappedArray`| |11.0|12.0|`hipBindTextureToMipmappedArray`|1.7.0|5.7.0| | |
|`cudaGetTextureAlignmentOffset`| |11.0|12.0|`hipGetTextureAlignmentOffset`|1.9.0|3.8.0| | |
|`cudaGetTextureReference`| |11.0|12.0|`hipGetTextureReference`|1.7.0|5.3.0| | |
|`cudaUnbindTexture`| |11.0|12.0|`hipUnbindTexture`|1.6.0|3.8.0| | |
diff --git a/docs/tables/CUSPARSE_API_supported_by_HIP.md b/docs/tables/CUSPARSE_API_supported_by_HIP.md
index 496269da..089f9327 100644
--- a/docs/tables/CUSPARSE_API_supported_by_HIP.md
+++ b/docs/tables/CUSPARSE_API_supported_by_HIP.md
@@ -183,7 +183,7 @@
|`cusparseSpVecDescr_t`|10.2| | |`hipsparseSpVecDescr_t`|4.1.0| | | |
|`cusparseSparseToDenseAlg_t`|11.1| | |`hipsparseSparseToDenseAlg_t`|4.2.0| | | |
|`cusparseStatus_t`| | | |`hipsparseStatus_t`|1.9.2| | | |
-|`pruneInfo`|9.0| | | | | | | |
+|`pruneInfo`|9.0| | |`pruneInfo`|3.9.0| | | |
|`pruneInfo_t`|9.0| | |`pruneInfo_t`|3.9.0| | | |
## **5. CUSPARSE Management Function Reference**
diff --git a/docs/tables/CUSPARSE_API_supported_by_HIP_and_ROC.md b/docs/tables/CUSPARSE_API_supported_by_HIP_and_ROC.md
index bbc87ed2..07efeb46 100644
--- a/docs/tables/CUSPARSE_API_supported_by_HIP_and_ROC.md
+++ b/docs/tables/CUSPARSE_API_supported_by_HIP_and_ROC.md
@@ -183,8 +183,8 @@
|`cusparseSpVecDescr_t`|10.2| | |`hipsparseSpVecDescr_t`|4.1.0| | | |`rocsparse_spvec_descr`|4.1.0| | | |
|`cusparseSparseToDenseAlg_t`|11.1| | |`hipsparseSparseToDenseAlg_t`|4.2.0| | | |`rocsparse_sparse_to_dense_alg`|4.1.0| | | |
|`cusparseStatus_t`| | | |`hipsparseStatus_t`|1.9.2| | | |`rocsparse_status`|1.9.0| | | |
-|`pruneInfo`|9.0| | | | | | | | | | | | |
-|`pruneInfo_t`|9.0| | |`pruneInfo_t`|3.9.0| | | | | | | | |
+|`pruneInfo`|9.0| | |`pruneInfo`|3.9.0| | | |`_rocsparse_mat_info`|1.9.0| | | |
+|`pruneInfo_t`|9.0| | |`pruneInfo_t`|3.9.0| | | |`rocsparse_mat_info`|1.9.0| | | |
## **5. CUSPARSE Management Function Reference**
@@ -645,7 +645,7 @@
|`cusparseCnnz`| | | |`hipsparseCnnz`|3.2.0| | | | | | | | |
|`cusparseCnnz_compress`|8.0| | |`hipsparseCnnz_compress`|3.5.0| | | | | | | | |
|`cusparseCreateCsru2csrInfo`| | | |`hipsparseCreateCsru2csrInfo`|4.2.0| | | | | | | | |
-|`cusparseCreateIdentityPermutation`| | | |`hipsparseCreateIdentityPermutation`|1.9.2| | | | | | | | |
+|`cusparseCreateIdentityPermutation`| | | |`hipsparseCreateIdentityPermutation`|1.9.2| | | |`rocsparse_create_identity_permutation`|1.9.0| | | |
|`cusparseCsr2cscEx`|8.0|10.2|11.0| | | | | | | | | | |
|`cusparseCsr2cscEx2`|10.1| | |`hipsparseCsr2cscEx2`|5.4.0| | | | | | | | |
|`cusparseCsr2cscEx2_bufferSize`|10.1| | |`hipsparseCsr2cscEx2_bufferSize`|5.4.0| | | | | | | | |
@@ -680,7 +680,7 @@
|`cusparseDnnz`| | | |`hipsparseDnnz`|3.2.0| | | | | | | | |
|`cusparseDnnz_compress`|8.0| | |`hipsparseDnnz_compress`|3.5.0| | | | | | | | |
|`cusparseDpruneCsr2csr`|9.0| | |`hipsparseDpruneCsr2csr`|3.9.0| | | | | | | | |
-|`cusparseDpruneCsr2csrByPercentage`|9.0| | |`hipsparseDpruneCsr2csrByPercentage`|3.9.0| | | | | | | | |
+|`cusparseDpruneCsr2csrByPercentage`|9.0| | |`hipsparseDpruneCsr2csrByPercentage`|3.9.0| | | |`rocsparse_dprune_csr2csr_by_percentage`|3.9.0| | | |
|`cusparseDpruneCsr2csrByPercentage_bufferSizeExt`|9.0| | |`hipsparseDpruneCsr2csrByPercentage_bufferSizeExt`|3.9.0| | | | | | | | |
|`cusparseDpruneCsr2csrNnz`|9.0| | |`hipsparseDpruneCsr2csrNnz`|3.9.0| | | | | | | | |
|`cusparseDpruneCsr2csrNnzByPercentage`|9.0| | |`hipsparseDpruneCsr2csrNnzByPercentage`|3.9.0| | | | | | | | |
@@ -744,17 +744,17 @@
|`cusparseSpruneDense2csrNnz`|9.0| | |`hipsparseSpruneDense2csrNnz`|3.9.0| | | | | | | | |
|`cusparseSpruneDense2csrNnzByPercentage`|9.0| | |`hipsparseSpruneDense2csrNnzByPercentage`|3.9.0| | | | | | | | |
|`cusparseSpruneDense2csr_bufferSizeExt`|9.0| | |`hipsparseSpruneDense2csr_bufferSizeExt`|3.9.0| | | | | | | | |
-|`cusparseXcoo2csr`| | | |`hipsparseXcoo2csr`|1.9.2| | | | | | | | |
+|`cusparseXcoo2csr`| | | |`hipsparseXcoo2csr`|1.9.2| | | |`rocsparse_coo2csr`|1.9.0| | | |
|`cusparseXcoosortByColumn`| | | |`hipsparseXcoosortByColumn`|1.9.2| | | |`rocsparse_coosort_by_column`|1.9.0| | | |
|`cusparseXcoosortByRow`| | | |`hipsparseXcoosortByRow`|1.9.2| | | |`rocsparse_coosort_by_row`|1.9.0| | | |
-|`cusparseXcoosort_bufferSizeExt`| | | |`hipsparseXcoosort_bufferSizeExt`|1.9.2| | | | | | | | |
-|`cusparseXcscsort`| | | |`hipsparseXcscsort`|2.10.0| | | | | | | | |
-|`cusparseXcscsort_bufferSizeExt`| | | |`hipsparseXcscsort_bufferSizeExt`|2.10.0| | | | | | | | |
+|`cusparseXcoosort_bufferSizeExt`| | | |`hipsparseXcoosort_bufferSizeExt`|1.9.2| | | |`rocsparse_coosort_buffer_size`|1.9.0| | | |
+|`cusparseXcscsort`| | | |`hipsparseXcscsort`|2.10.0| | | |`rocsparse_cscsort`|2.10.0| | | |
+|`cusparseXcscsort_bufferSizeExt`| | | |`hipsparseXcscsort_bufferSizeExt`|2.10.0| | | |`rocsparse_cscsort_buffer_size`|2.10.0| | | |
|`cusparseXcsr2bsrNnz`| | | |`hipsparseXcsr2bsrNnz`|3.5.0| | | | | | | | |
|`cusparseXcsr2coo`| | | |`hipsparseXcsr2coo`|1.9.2| | | | | | | | |
|`cusparseXcsr2gebsrNnz`| | | |`hipsparseXcsr2gebsrNnz`|4.1.0| | | | | | | | |
-|`cusparseXcsrsort`| | | |`hipsparseXcsrsort`|1.9.2| | | | | | | | |
-|`cusparseXcsrsort_bufferSizeExt`| | | |`hipsparseXcsrsort_bufferSizeExt`|1.9.2| | | | | | | | |
+|`cusparseXcsrsort`| | | |`hipsparseXcsrsort`|1.9.2| | | |`rocsparse_csrsort`|1.9.0| | | |
+|`cusparseXcsrsort_bufferSizeExt`| | | |`hipsparseXcsrsort_bufferSizeExt`|1.9.2| | | |`rocsparse_csrsort_buffer_size`|1.9.0| | | |
|`cusparseXgebsr2csr`| | | | | | | | | | | | | |
|`cusparseXgebsr2gebsrNnz`| | | |`hipsparseXgebsr2gebsrNnz`|4.1.0| | | |`rocsparse_gebsr2gebsr_nnz`|4.1.0| | | |
|`cusparseZbsr2csr`| | | |`hipsparseZbsr2csr`|3.5.0| | | |`rocsparse_zbsr2csr`|3.10.0| | | |
diff --git a/docs/tables/CUSPARSE_API_supported_by_ROC.md b/docs/tables/CUSPARSE_API_supported_by_ROC.md
index 2dabb8b1..aa15c8da 100644
--- a/docs/tables/CUSPARSE_API_supported_by_ROC.md
+++ b/docs/tables/CUSPARSE_API_supported_by_ROC.md
@@ -183,8 +183,8 @@
|`cusparseSpVecDescr_t`|10.2| | |`rocsparse_spvec_descr`|4.1.0| | | |
|`cusparseSparseToDenseAlg_t`|11.1| | |`rocsparse_sparse_to_dense_alg`|4.1.0| | | |
|`cusparseStatus_t`| | | |`rocsparse_status`|1.9.0| | | |
-|`pruneInfo`|9.0| | | | | | | |
-|`pruneInfo_t`|9.0| | | | | | | |
+|`pruneInfo`|9.0| | |`_rocsparse_mat_info`|1.9.0| | | |
+|`pruneInfo_t`|9.0| | |`rocsparse_mat_info`|1.9.0| | | |
## **5. CUSPARSE Management Function Reference**
@@ -645,7 +645,7 @@
|`cusparseCnnz`| | | | | | | | |
|`cusparseCnnz_compress`|8.0| | | | | | | |
|`cusparseCreateCsru2csrInfo`| | | | | | | | |
-|`cusparseCreateIdentityPermutation`| | | | | | | | |
+|`cusparseCreateIdentityPermutation`| | | |`rocsparse_create_identity_permutation`|1.9.0| | | |
|`cusparseCsr2cscEx`|8.0|10.2|11.0| | | | | |
|`cusparseCsr2cscEx2`|10.1| | | | | | | |
|`cusparseCsr2cscEx2_bufferSize`|10.1| | | | | | | |
@@ -680,7 +680,7 @@
|`cusparseDnnz`| | | | | | | | |
|`cusparseDnnz_compress`|8.0| | | | | | | |
|`cusparseDpruneCsr2csr`|9.0| | | | | | | |
-|`cusparseDpruneCsr2csrByPercentage`|9.0| | | | | | | |
+|`cusparseDpruneCsr2csrByPercentage`|9.0| | |`rocsparse_dprune_csr2csr_by_percentage`|3.9.0| | | |
|`cusparseDpruneCsr2csrByPercentage_bufferSizeExt`|9.0| | | | | | | |
|`cusparseDpruneCsr2csrNnz`|9.0| | | | | | | |
|`cusparseDpruneCsr2csrNnzByPercentage`|9.0| | | | | | | |
@@ -744,17 +744,17 @@
|`cusparseSpruneDense2csrNnz`|9.0| | | | | | | |
|`cusparseSpruneDense2csrNnzByPercentage`|9.0| | | | | | | |
|`cusparseSpruneDense2csr_bufferSizeExt`|9.0| | | | | | | |
-|`cusparseXcoo2csr`| | | | | | | | |
+|`cusparseXcoo2csr`| | | |`rocsparse_coo2csr`|1.9.0| | | |
|`cusparseXcoosortByColumn`| | | |`rocsparse_coosort_by_column`|1.9.0| | | |
|`cusparseXcoosortByRow`| | | |`rocsparse_coosort_by_row`|1.9.0| | | |
-|`cusparseXcoosort_bufferSizeExt`| | | | | | | | |
-|`cusparseXcscsort`| | | | | | | | |
-|`cusparseXcscsort_bufferSizeExt`| | | | | | | | |
+|`cusparseXcoosort_bufferSizeExt`| | | |`rocsparse_coosort_buffer_size`|1.9.0| | | |
+|`cusparseXcscsort`| | | |`rocsparse_cscsort`|2.10.0| | | |
+|`cusparseXcscsort_bufferSizeExt`| | | |`rocsparse_cscsort_buffer_size`|2.10.0| | | |
|`cusparseXcsr2bsrNnz`| | | | | | | | |
|`cusparseXcsr2coo`| | | | | | | | |
|`cusparseXcsr2gebsrNnz`| | | | | | | | |
-|`cusparseXcsrsort`| | | | | | | | |
-|`cusparseXcsrsort_bufferSizeExt`| | | | | | | | |
+|`cusparseXcsrsort`| | | |`rocsparse_csrsort`|1.9.0| | | |
+|`cusparseXcsrsort_bufferSizeExt`| | | |`rocsparse_csrsort_buffer_size`|1.9.0| | | |
|`cusparseXgebsr2csr`| | | | | | | | |
|`cusparseXgebsr2gebsrNnz`| | | |`rocsparse_gebsr2gebsr_nnz`|4.1.0| | | |
|`cusparseZbsr2csr`| | | |`rocsparse_zbsr2csr`|3.10.0| | | |
diff --git a/src/ArgParse.cpp b/src/ArgParse.cpp
index 904b5c2e..acead48e 100644
--- a/src/ArgParse.cpp
+++ b/src/ArgParse.cpp
@@ -172,7 +172,7 @@ cl::opt<std::string> DocFormat("doc-format",
cl::cat(ToolTemplateCategory));
cl::opt<std::string> DocRoc("doc-roc",
- cl::desc("ROC cocumentation generation: 'skip' (default), 'separate', or 'joint'; the '--md' or '--csv' option must be specified"),
+ cl::desc("ROC documentation generation: 'skip' (default), 'separate', or 'joint'; the '--md' or '--csv' option must be specified"),
cl::value_desc("value"),
cl::cat(ToolTemplateCategory));
diff --git a/src/CUDA2HIP_BLAS_API_functions.cpp b/src/CUDA2HIP_BLAS_API_functions.cpp
index fcc8fb66..c1cffdef 100644
--- a/src/CUDA2HIP_BLAS_API_functions.cpp
+++ b/src/CUDA2HIP_BLAS_API_functions.cpp
@@ -35,8 +35,8 @@ const std::map<llvm::StringRef, hipCounter> CUDA_BLAS_FUNCTION_MAP {
{"cublasSetKernelStream", {"hipblasSetKernelStream", "", CONV_LIB_FUNC, API_BLAS, 4, UNSUPPORTED}},
{"cublasGetAtomicsMode", {"hipblasGetAtomicsMode", "rocblas_get_atomics_mode", CONV_LIB_FUNC, API_BLAS, 4}},
{"cublasSetAtomicsMode", {"hipblasSetAtomicsMode", "rocblas_set_atomics_mode", CONV_LIB_FUNC, API_BLAS, 4}},
- {"cublasGetMathMode", {"hipblasGetMathMode", "", CONV_LIB_FUNC, API_BLAS, 4, UNSUPPORTED}},
- {"cublasSetMathMode", {"hipblasSetMathMode", "", CONV_LIB_FUNC, API_BLAS, 4, UNSUPPORTED}},
+ {"cublasGetMathMode", {"hipblasGetMathMode", "rocblas_get_math_mode", CONV_LIB_FUNC, API_BLAS, 4, HIP_UNSUPPORTED}},
+ {"cublasSetMathMode", {"hipblasSetMathMode", "rocblas_set_math_mode", CONV_LIB_FUNC, API_BLAS, 4, HIP_UNSUPPORTED}},
{"cublasMigrateComputeType", {"hipblasMigrateComputeType", "", CONV_LIB_FUNC, API_BLAS, 4, UNSUPPORTED}},
{"cublasGetSmCountTarget", {"hipblasGetSmCountTarget", "", CONV_LIB_FUNC, API_BLAS, 4, UNSUPPORTED}},
{"cublasSetSmCountTarget", {"hipblasSetSmCountTarget", "", CONV_LIB_FUNC, API_BLAS, 4, UNSUPPORTED}},
@@ -1075,6 +1075,7 @@ const std::map<llvm::StringRef, hipCounter> CUDA_BLAS_FUNCTION_MAP {
const std::map<llvm::StringRef, cudaAPIversions> CUDA_BLAS_FUNCTION_VER_MAP {
{"cublasGetMathMode", {CUDA_90, CUDA_0, CUDA_0}},
+ {"cublasSetMathMode", {CUDA_90, CUDA_0, CUDA_0}},
{"cublasMigrateComputeType", {CUDA_110, CUDA_0, CUDA_0}},
{"cublasLogCallback", {CUDA_92, CUDA_0, CUDA_0}},
{"cublasLoggerConfigure", {CUDA_92, CUDA_0, CUDA_0}},
@@ -1962,6 +1963,8 @@ const std::map<llvm::StringRef, hipAPIversions> HIP_BLAS_FUNCTION_VER_MAP {
{"hipblasDgelsBatched", {HIP_5040, HIP_0, HIP_0 }},
{"hipblasCgelsBatched", {HIP_5040, HIP_0, HIP_0 }},
{"hipblasZgelsBatched", {HIP_5040, HIP_0, HIP_0 }},
+ {"rocblas_get_math_mode", {HIP_5070, HIP_0, HIP_0 }},
+ {"rocblas_set_math_mode", {HIP_5070, HIP_0, HIP_0 }},
};
const std::map<unsigned int, llvm::StringRef> CUDA_BLAS_API_SECTION_MAP {
diff --git a/src/CUDA2HIP_BLAS_API_types.cpp b/src/CUDA2HIP_BLAS_API_types.cpp
index fdaccdb0..d7b31796 100644
--- a/src/CUDA2HIP_BLAS_API_types.cpp
+++ b/src/CUDA2HIP_BLAS_API_types.cpp
@@ -73,12 +73,12 @@ const std::map<llvm::StringRef, hipCounter> CUDA_BLAS_TYPE_NAME_MAP {
{"CUBLAS_ATOMICS_ALLOWED", {"HIPBLAS_ATOMICS_ALLOWED", "rocblas_atomics_allowed", CONV_NUMERIC_LITERAL, API_BLAS, 2}},
// Blas Math mode/tensor operation
- {"cublasMath_t", {"hipblasMath_t", "", CONV_TYPE, API_BLAS, 2, UNSUPPORTED}},
- {"CUBLAS_DEFAULT_MATH", {"HIPBLAS_DEFAULT_MATH", "", CONV_NUMERIC_LITERAL, API_BLAS, 2, UNSUPPORTED}}, // 0
- {"CUBLAS_TENSOR_OP_MATH", {"HIPBLAS_TENSOR_OP_MATH", "", CONV_NUMERIC_LITERAL, API_BLAS, 2, UNSUPPORTED | CUDA_DEPRECATED}}, // 1
- {"CUBLAS_PEDANTIC_MATH", {"HIPBLAS_PEDANTIC_MATH", "", CONV_NUMERIC_LITERAL, API_BLAS, 2, UNSUPPORTED}}, // 2
- {"CUBLAS_TF32_TENSOR_OP_MATH", {"HIPBLAS_TF32_TENSOR_OP_MATH", "", CONV_NUMERIC_LITERAL, API_BLAS, 2, UNSUPPORTED}}, // 3
- {"CUBLAS_MATH_DISALLOW_REDUCED_PRECISION_REDUCTION", {"HIPBLAS_MATH_DISALLOW_REDUCED_PRECISION_REDUCTION", "", CONV_NUMERIC_LITERAL, API_BLAS, 2, UNSUPPORTED}}, // 16
+ {"cublasMath_t", {"hipblasMath_t", "rocblas_math_mode", CONV_TYPE, API_BLAS, 2, HIP_UNSUPPORTED}},
+ {"CUBLAS_DEFAULT_MATH", {"HIPBLAS_DEFAULT_MATH", "rocblas_default_math", CONV_NUMERIC_LITERAL, API_BLAS, 2, HIP_UNSUPPORTED}}, // 0
+ {"CUBLAS_TENSOR_OP_MATH", {"HIPBLAS_TENSOR_OP_MATH", "", CONV_NUMERIC_LITERAL, API_BLAS, 2, UNSUPPORTED | CUDA_DEPRECATED}}, // 1
+ {"CUBLAS_PEDANTIC_MATH", {"HIPBLAS_PEDANTIC_MATH", "", CONV_NUMERIC_LITERAL, API_BLAS, 2, UNSUPPORTED}}, // 2
+ {"CUBLAS_TF32_TENSOR_OP_MATH", {"HIPBLAS_TF32_TENSOR_OP_MATH", "rocblas_xf32_xdl_math_op", CONV_NUMERIC_LITERAL, API_BLAS, 2, HIP_UNSUPPORTED}}, // 3
+ {"CUBLAS_MATH_DISALLOW_REDUCED_PRECISION_REDUCTION", {"HIPBLAS_MATH_DISALLOW_REDUCED_PRECISION_REDUCTION", "", CONV_NUMERIC_LITERAL, API_BLAS, 2, UNSUPPORTED}}, // 16
// Blass different GEMM algorithms
{"cublasGemmAlgo_t", {"hipblasGemmAlgo_t", "rocblas_gemm_algo", CONV_TYPE, API_BLAS, 2}},
@@ -170,10 +170,10 @@ const std::map<llvm::StringRef, hipCounter> CUDA_BLAS_TYPE_NAME_MAP {
// NOTE: renamed UNSUPPORTED hipblasComputeType_t to the HIP supported hipblasDatatype_t (workaround)
// TODO: change the type to the correct one after fixing https://github.com/ROCmSoftwarePlatform/hipBLAS/issues/529
- {"cublasComputeType_t", {"hipblasDatatype_t", "", CONV_TYPE, API_BLAS, 2}},
+ {"cublasComputeType_t", {"hipblasDatatype_t", "rocblas_computetype", CONV_TYPE, API_BLAS, 2}},
{"CUBLAS_COMPUTE_16F", {"HIPBLAS_COMPUTE_16F", "", CONV_NUMERIC_LITERAL, API_BLAS, 2, UNSUPPORTED}}, // 64
{"CUBLAS_COMPUTE_16F_PEDANTIC", {"HIPBLAS_COMPUTE_16F_PEDANTIC", "", CONV_NUMERIC_LITERAL, API_BLAS, 2, UNSUPPORTED}}, // 65
- {"CUBLAS_COMPUTE_32F", {"HIPBLAS_COMPUTE_32F", "", CONV_NUMERIC_LITERAL, API_BLAS, 2, UNSUPPORTED}}, // 68
+ {"CUBLAS_COMPUTE_32F", {"HIPBLAS_COMPUTE_32F", "rocblas_compute_type_f32", CONV_NUMERIC_LITERAL, API_BLAS, 2, HIP_UNSUPPORTED}}, // 68
{"CUBLAS_COMPUTE_32F_PEDANTIC", {"HIPBLAS_COMPUTE_32F_PEDANTIC", "", CONV_NUMERIC_LITERAL, API_BLAS, 2, UNSUPPORTED}}, // 69
{"CUBLAS_COMPUTE_32F_FAST_16F", {"HIPBLAS_COMPUTE_32F_FAST_16F", "", CONV_NUMERIC_LITERAL, API_BLAS, 2, UNSUPPORTED}}, // 74
{"CUBLAS_COMPUTE_32F_FAST_16BF", {"HIPBLAS_COMPUTE_32F_FAST_16BF", "", CONV_NUMERIC_LITERAL, API_BLAS, 2, UNSUPPORTED}}, // 75
@@ -387,4 +387,9 @@ const std::map<llvm::StringRef, hipAPIversions> HIP_BLAS_TYPE_NAME_VER_MAP {
{"rocblas_atomics_allowed", {HIP_3080, HIP_0, HIP_0 }},
{"rocblas_gemm_algo", {HIP_1082, HIP_0, HIP_0 }},
{"rocblas_gemm_algo_standard", {HIP_1082, HIP_0, HIP_0 }},
+ {"rocblas_math_mode", {HIP_5070, HIP_0, HIP_0 }},
+ {"rocblas_default_math", {HIP_5070, HIP_0, HIP_0 }},
+ {"rocblas_xf32_xdl_math_op", {HIP_5070, HIP_0, HIP_0 }},
+ {"rocblas_computetype", {HIP_5070, HIP_0, HIP_0 }},
+ {"rocblas_compute_type_f32", {HIP_5070, HIP_0, HIP_0 }},
};
diff --git a/src/CUDA2HIP_Device_functions.cpp b/src/CUDA2HIP_Device_functions.cpp
index 9d9511e4..1b3c83ae 100644
--- a/src/CUDA2HIP_Device_functions.cpp
+++ b/src/CUDA2HIP_Device_functions.cpp
@@ -710,6 +710,9 @@ const std::map<llvm::StringRef, hipCounter> CUDA_DEVICE_FUNCTION_MAP {
{"__hgeu2_mask", {"__hgeu2_mask", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
{"__hltu2_mask", {"__hltu2_mask", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
{"__hgtu2_mask", {"__hgtu2_mask", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
+ {"make_half2", {"make_half2", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
+ {"__half2char_rz", {"__half2char_rz", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
+ {"__half2uchar_rz", {"__half2uchar_rz", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
// bfp16 functions
{"__double2bfloat16", {"__double2bfloat16", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
{"__float2bfloat16", {"__float2bfloat16", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
@@ -775,12 +778,16 @@ const std::map<llvm::StringRef, hipCounter> CUDA_DEVICE_FUNCTION_MAP {
{"__high2bfloat16", {"__high2bfloat16", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
{"__low2bfloat16", {"__low2bfloat16", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
{"__halves2bfloat162", {"__halves2bfloat162", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
- {"__low2bfloat162", {"__halves2bfloat162", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
+ {"__low2bfloat162", {"__low2bfloat162", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
{"__high2bfloat162", {"__high2bfloat162", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
{"__bfloat16_as_short", {"__bfloat16_as_short", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
{"__bfloat16_as_ushort", {"__bfloat16_as_ushort", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
{"__short_as_bfloat16", {"__short_as_bfloat16", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
{"__ushort_as_bfloat16", {"__ushort_as_bfloat16", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
+ {"__float22bfloat162_rn", {"__float22bfloat162_rn", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
+ {"__bfloat162char_rz", {"__bfloat162char_rz", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
+ {"__bfloat162uchar_rz", {"__bfloat162uchar_rz", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
+ {"make_bfloat162", {"make_bfloat162", "", CONV_DEVICE_FUNC, API_RUNTIME, 1, UNSUPPORTED}},
// atomic functions
{"atomicAdd", {"atomicAdd", "", CONV_DEVICE_FUNC, API_RUNTIME, 1}},
{"atomicAdd_system", {"atomicAdd_system", "", CONV_DEVICE_FUNC, API_RUNTIME, 1}},
@@ -945,6 +952,13 @@ const std::map<llvm::StringRef, cudaAPIversions> CUDA_DEVICE_FUNCTION_VER_MAP {
{"__hgeu2_mask", {CUDA_120, CUDA_0, CUDA_0 }},
{"__hltu2_mask", {CUDA_120, CUDA_0, CUDA_0 }},
{"__hgtu2_mask", {CUDA_120, CUDA_0, CUDA_0 }},
+ {"__float22bfloat162_rn", {CUDA_110, CUDA_0, CUDA_0 }},
+ {"__bfloat162char_rz", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"__bfloat162uchar_rz", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"make_bfloat162", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"make_half2", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"__half2char_rz", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"__half2uchar_rz", {CUDA_122, CUDA_0, CUDA_0 }},
};
const std::map<llvm::StringRef, hipAPIversions> HIP_DEVICE_FUNCTION_VER_MAP {
diff --git a/src/CUDA2HIP_Driver_API_functions.cpp b/src/CUDA2HIP_Driver_API_functions.cpp
index 0e7ed78c..1711d102 100644
--- a/src/CUDA2HIP_Driver_API_functions.cpp
+++ b/src/CUDA2HIP_Driver_API_functions.cpp
@@ -353,13 +353,13 @@ const std::map<llvm::StringRef, hipCounter> CUDA_DRIVER_FUNCTION_MAP {
{"cuMemsetD8Async", {"hipMemsetD8Async", "", CONV_MEMORY, API_DRIVER, SEC::MEMORY}},
// no analogue
// NOTE: Not equal to cudaMallocMipmappedArray due to different signatures
- {"cuMipmappedArrayCreate", {"hipMipmappedArrayCreate", "", CONV_MEMORY, API_DRIVER, SEC::MEMORY}},
+ {"cuMipmappedArrayCreate", {"hipMipmappedArrayCreate", "", CONV_MEMORY, API_DRIVER, SEC::MEMORY, HIP_DEPRECATED}},
// no analogue
// NOTE: Not equal to cudaFreeMipmappedArray due to different signatures
- {"cuMipmappedArrayDestroy", {"hipMipmappedArrayDestroy", "", CONV_MEMORY, API_DRIVER, SEC::MEMORY}},
+ {"cuMipmappedArrayDestroy", {"hipMipmappedArrayDestroy", "", CONV_MEMORY, API_DRIVER, SEC::MEMORY, HIP_DEPRECATED}},
// no analogue
// NOTE: Not equal to cudaGetMipmappedArrayLevel due to different signatures
- {"cuMipmappedArrayGetLevel", {"hipMipmappedArrayGetLevel", "", CONV_MEMORY, API_DRIVER, SEC::MEMORY}},
+ {"cuMipmappedArrayGetLevel", {"hipMipmappedArrayGetLevel", "", CONV_MEMORY, API_DRIVER, SEC::MEMORY, HIP_DEPRECATED}},
// cudaArrayGetSparseProperties
{"cuArrayGetSparseProperties", {"hipArrayGetSparseProperties", "", CONV_MEMORY, API_DRIVER, SEC::MEMORY, HIP_UNSUPPORTED}},
// cudaArrayGetPlane
@@ -431,8 +431,12 @@ const std::map<llvm::StringRef, hipCounter> CUDA_DRIVER_FUNCTION_MAP {
// 17. Unified Addressing
// cudaMemAdvise
{"cuMemAdvise", {"hipMemAdvise", "", CONV_UNIFIED, API_DRIVER, SEC::UNIFIED}},
- // TODO: double check cudaMemPrefetchAsync
+ // cudaMemAdvise_v2
+ {"cuMemAdvise_v2", {"hipMemAdvise_v2", "", CONV_UNIFIED, API_DRIVER, SEC::UNIFIED, HIP_UNSUPPORTED}},
+ // cudaMemPrefetchAsync
{"cuMemPrefetchAsync", {"hipMemPrefetchAsync", "", CONV_UNIFIED, API_DRIVER, SEC::UNIFIED}},
+ // cudaMemPrefetchAsync_v2
+ {"cuMemPrefetchAsync_v2", {"hipMemPrefetchAsync_v2", "", CONV_UNIFIED, API_DRIVER, SEC::UNIFIED, HIP_UNSUPPORTED}},
// cudaMemRangeGetAttribute
{"cuMemRangeGetAttribute", {"hipMemRangeGetAttribute", "", CONV_UNIFIED, API_DRIVER, SEC::UNIFIED}},
// cudaMemRangeGetAttributes
@@ -782,6 +786,12 @@ const std::map<llvm::StringRef, hipCounter> CUDA_DRIVER_FUNCTION_MAP {
{"cuGraphInstantiateWithParams", {"hipGraphInstantiateWithParams", "", CONV_GRAPH, API_DRIVER, SEC::GRAPH, HIP_UNSUPPORTED}},
// cudaGraphExecGetFlags
{"cuGraphExecGetFlags", {"hipGraphExecGetFlags", "", CONV_GRAPH, API_DRIVER, SEC::GRAPH, HIP_UNSUPPORTED}},
+ // cudaGraphAddNode
+ {"cuGraphAddNode", {"hipGraphAddNode", "", CONV_GRAPH, API_DRIVER, SEC::GRAPH, HIP_UNSUPPORTED}},
+ // cudaGraphNodeSetParams
+ {"cuGraphNodeSetParams", {"hipGraphNodeSetParams", "", CONV_GRAPH, API_DRIVER, SEC::GRAPH, HIP_UNSUPPORTED}},
+ // cudaGraphExecNodeSetParams
+ {"cuGraphExecNodeSetParams", {"hipGraphExecNodeSetParams", "", CONV_GRAPH, API_DRIVER, SEC::GRAPH, HIP_UNSUPPORTED}},
// 25. Occupancy
// cudaOccupancyAvailableDynamicSMemPerBlock
@@ -1384,6 +1394,11 @@ const std::map<llvm::StringRef, cudaAPIversions> CUDA_DRIVER_FUNCTION_VER_MAP {
{"cuCoredumpGetAttributeGlobal", {CUDA_121, CUDA_0, CUDA_0 }},
{"cuCoredumpSetAttribute", {CUDA_121, CUDA_0, CUDA_0 }},
{"cuCoredumpSetAttributeGlobal", {CUDA_121, CUDA_0, CUDA_0 }},
+ {"cuMemPrefetchAsync_v2", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cuMemAdvise_v2", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cuGraphAddNode", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cuGraphNodeSetParams", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cuGraphExecNodeSetParams", {CUDA_122, CUDA_0, CUDA_0 }},
};
const std::map<llvm::StringRef, hipAPIversions> HIP_DRIVER_FUNCTION_VER_MAP {
@@ -1443,9 +1458,9 @@ const std::map<llvm::StringRef, hipAPIversions> HIP_DRIVER_FUNCTION_VER_MAP {
{"hipMemsetD32Async", {HIP_2030, HIP_0, HIP_0 }},
{"hipMemsetD8", {HIP_1060, HIP_0, HIP_0 }},
{"hipMemsetD8Async", {HIP_3000, HIP_0, HIP_0 }},
- {"hipMipmappedArrayCreate", {HIP_3050, HIP_0, HIP_0 }},
- {"hipMipmappedArrayDestroy", {HIP_3050, HIP_0, HIP_0 }},
- {"hipMipmappedArrayGetLevel", {HIP_3050, HIP_0, HIP_0 }},
+ {"hipMipmappedArrayCreate", {HIP_3050, HIP_5070, HIP_0 }},
+ {"hipMipmappedArrayDestroy", {HIP_3050, HIP_5070, HIP_0 }},
+ {"hipMipmappedArrayGetLevel", {HIP_3050, HIP_5070, HIP_0 }},
{"hipFuncGetAttribute", {HIP_2080, HIP_0, HIP_0 }},
{"hipModuleLaunchKernel", {HIP_1060, HIP_0, HIP_0 }},
{"hipModuleOccupancyMaxActiveBlocksPerMultiprocessor", {HIP_3050, HIP_0, HIP_0 }},
diff --git a/src/CUDA2HIP_Driver_API_types.cpp b/src/CUDA2HIP_Driver_API_types.cpp
index 479db2c0..15e8748f 100644
--- a/src/CUDA2HIP_Driver_API_types.cpp
+++ b/src/CUDA2HIP_Driver_API_types.cpp
@@ -74,12 +74,14 @@ const std::map<llvm::StringRef, hipCounter> CUDA_DRIVER_TYPE_NAME_MAP {
{"CUDA_HOST_NODE_PARAMS", {"hipHostNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES}},
{"CUDA_HOST_NODE_PARAMS_v1", {"hipHostNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES}},
{"CUDA_HOST_NODE_PARAMS_v2_st", {"hipHostNodeParams_v2", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+ // cudaHostNodeParamsV2
{"CUDA_HOST_NODE_PARAMS_v2", {"hipHostNodeParams_v2", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
// cudaKernelNodeParams
{"CUDA_KERNEL_NODE_PARAMS_st", {"hipKernelNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES}},
{"CUDA_KERNEL_NODE_PARAMS", {"hipKernelNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES}},
{"CUDA_KERNEL_NODE_PARAMS_v1", {"hipKernelNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES}},
+ // cudaKernelNodeParamsV2
{"CUDA_KERNEL_NODE_PARAMS_v2_st", {"hipKernelNodeParams_v2", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
{"CUDA_KERNEL_NODE_PARAMS_v2", {"hipKernelNodeParams_v2", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
{"CUDA_KERNEL_NODE_PARAMS_v3_st", {"hipKernelNodeParams_v3", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
@@ -109,13 +111,15 @@ const std::map<llvm::StringRef, hipCounter> CUDA_DRIVER_TYPE_NAME_MAP {
{"CUDA_MEMCPY3D_PEER_v1", {"hip_Memcpy3D_Peer", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
{"CUDA_MEMCPY_NODE_PARAMS_st", {"hiMemcpyNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+ // cudaMemcpyNodeParams
{"CUDA_MEMCPY_NODE_PARAMS", {"hiMemcpyNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
- // cudaMemsetParams
{"CUDA_MEMSET_NODE_PARAMS_st", {"hipMemsetParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES}},
+ // cudaMemsetParams
{"CUDA_MEMSET_NODE_PARAMS", {"hipMemsetParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES}},
{"CUDA_MEMSET_NODE_PARAMS_v1", {"hipMemsetParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES}},
{"CUDA_MEMSET_NODE_PARAMS_v2_st", {"hipMemsetParams_v2", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+ // cudaMemsetParamsV2
{"CUDA_MEMSET_NODE_PARAMS_v2", {"hipMemsetParams_v2", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
{"CUDA_POINTER_ATTRIBUTE_P2P_TOKENS_st", {"HIP_POINTER_ATTRIBUTE_P2P_TOKENS", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
@@ -277,6 +281,7 @@ const std::map<llvm::StringRef, hipCounter> CUDA_DRIVER_TYPE_NAME_MAP {
{"CUDA_EXT_SEM_SIGNAL_NODE_PARAMS_st", {"hipExternalSemaphoreSignalNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
{"CUDA_EXT_SEM_SIGNAL_NODE_PARAMS", {"hipExternalSemaphoreSignalNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
{"CUDA_EXT_SEM_SIGNAL_NODE_PARAMS_v1", {"hipExternalSemaphoreSignalNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+ // cudaExternalSemaphoreSignalNodeParamsV2
{"CUDA_EXT_SEM_SIGNAL_NODE_PARAMS_v2_st", {"hipExternalSemaphoreSignalNodeParams_v2", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
{"CUDA_EXT_SEM_SIGNAL_NODE_PARAMS_v2", {"hipExternalSemaphoreSignalNodeParams_v2", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
@@ -284,6 +289,7 @@ const std::map<llvm::StringRef, hipCounter> CUDA_DRIVER_TYPE_NAME_MAP {
{"CUDA_EXT_SEM_WAIT_NODE_PARAMS_st", {"hipExternalSemaphoreWaitNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
{"CUDA_EXT_SEM_WAIT_NODE_PARAMS", {"hipExternalSemaphoreWaitNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
{"CUDA_EXT_SEM_WAIT_NODE_PARAMS_v1", {"hipExternalSemaphoreWaitNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+ // cudaExternalSemaphoreWaitNodeParamsV2
{"CUDA_EXT_SEM_WAIT_NODE_PARAMS_v2_st", {"hipExternalSemaphoreWaitNodeParams_v2", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
{"CUDA_EXT_SEM_WAIT_NODE_PARAMS_v2", {"hipExternalSemaphoreWaitNodeParams_v2", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
@@ -315,35 +321,32 @@ const std::map<llvm::StringRef, hipCounter> CUDA_DRIVER_TYPE_NAME_MAP {
// cudaMemAllocNodeParams
{"CUDA_MEM_ALLOC_NODE_PARAMS_st", {"hipMemAllocNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, CUDA_REMOVED}},
{"CUDA_MEM_ALLOC_NODE_PARAMS_v1_st", {"hipMemAllocNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES}},
+ // cudaMemAllocNodeParamsV2
{"CUDA_MEM_ALLOC_NODE_PARAMS_v2_st", {"hipMemAllocNodeParams_v2", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
{"CUDA_MEM_ALLOC_NODE_PARAMS", {"hipMemAllocNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES}},
{"CUDA_MEM_ALLOC_NODE_PARAMS_v1", {"hipMemAllocNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES}},
{"CUDA_MEM_ALLOC_NODE_PARAMS_v2", {"hipMemAllocNodeParams_v2", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
- //
+ // cudaMemFreeNodeParams
{"CUDA_MEM_FREE_NODE_PARAMS_st", {"hipMemFreeNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
{"CUDA_MEM_FREE_NODE_PARAMS", {"hipMemFreeNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
- //
+ // cudaChildGraphNodeParams
{"CUDA_CHILD_GRAPH_NODE_PARAMS_st", {"hipChildGraphNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
{"CUDA_CHILD_GRAPH_NODE_PARAMS", {"hipChildGraphNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
- //
+ // cudaEventRecordNodeParams
{"CUDA_EVENT_RECORD_NODE_PARAMS_st", {"hipEventRecordNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
{"CUDA_EVENT_RECORD_NODE_PARAMS", {"hipEventRecordNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
- //
+ // cudaEventWaitNodeParams
{"CUDA_EVENT_WAIT_NODE_PARAMS_st", {"hipEventWaitNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
{"CUDA_EVENT_WAIT_NODE_PARAMS", {"hipEventWaitNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
- //
+ // cudaGraphNodeParams
{"CUgraphNodeParams_st", {"hipGraphNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
{"CUgraphNodeParams", {"hipGraphNodeParams", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
- //
- {"CUdeviceNumaConfig_enum", {"hipDeviceNumaConfig", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
- {"CUdeviceNumaConfig", {"hipDeviceNumaConfig", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
-
// cudaArrayMemoryRequirements
{"CUDA_ARRAY_MEMORY_REQUIREMENTS_st", {"hipArrayMemoryRequirements", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
{"CUDA_ARRAY_MEMORY_REQUIREMENTS_v1", {"hipArrayMemoryRequirements", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
@@ -859,27 +862,27 @@ const std::map<llvm::StringRef, hipCounter> CUDA_DRIVER_TYPE_NAME_MAP {
{"CU_DEVICE_ATTRIBUTE_CLUSTER_LAUNCH", {"hipDeviceAttributeClusterLaunch", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 120
// cudaDevAttrDeferredMappingCudaArraySupported
{"CU_DEVICE_ATTRIBUTE_DEFERRED_MAPPING_CUDA_ARRAY_SUPPORTED", {"hipDeviceAttributeDeferredMappingCudaArraySupported", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 121
- //
+ // cudaDevAttrReserved122
{"CU_DEVICE_ATTRIBUTE_CAN_USE_64_BIT_STREAM_MEM_OPS_V2", {"hipDeviceAttributeCanUse64BitStreamMemOpsV2", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED | CUDA_REMOVED}}, // 122
- //
+ // cudaDevAttrReserved123
{"CU_DEVICE_ATTRIBUTE_CAN_USE_STREAM_WAIT_VALUE_NOR_V2", {"hipDeviceAttributeCanUseStreamWaitValueNorV2", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED | CUDA_REMOVED}}, // 123
- //
+ // cudaDevAttrReserved124
{"CU_DEVICE_ATTRIBUTE_DMA_BUF_SUPPORTED", {"hipDeviceAttributeDmaBufSupported", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 124
// cudaDevAttrIpcEventSupport
{"CU_DEVICE_ATTRIBUTE_IPC_EVENT_SUPPORTED", {"hipDeviceAttributeIpcEventSupported", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 125
// cudaDevAttrMemSyncDomainCount
{"CU_DEVICE_ATTRIBUTE_MEM_SYNC_DOMAIN_COUNT", {"hipDeviceAttributeMemSyncDomainCount", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 126
- //
+ // cudaDevAttrReserved127
{"CU_DEVICE_ATTRIBUTE_TENSOR_MAP_ACCESS_SUPPORTED", {"hipDeviceAttributeTensorMapAccessSupported", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 127
- //
+ // cudaDevAttrReserved129
{"CU_DEVICE_ATTRIBUTE_UNIFIED_FUNCTION_POINTERS", {"hipDeviceAttributeUnifiedFunctionPointers", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 129
- //
+ // cudaDevAttrNumaConfig
{"CU_DEVICE_ATTRIBUTE_NUMA_CONFIG", {"hipDeviceAttributeNumaConfig", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 130
- //
+ // cudaDevAttrNumaId
{"CU_DEVICE_ATTRIBUTE_NUMA_ID", {"hipDeviceAttributeNumaId", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 131
//
{"CU_DEVICE_ATTRIBUTE_MULTICAST_SUPPORTED", {"hipDeviceAttributeMulticastSupported", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 132
- //
+ // cudaDevAttrHostNumaId
{"CU_DEVICE_ATTRIBUTE_HOST_NUMA_ID", {"hipDeviceAttributeHostNumaId", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 134
// cudaDevAttrMax
{"CU_DEVICE_ATTRIBUTE_MAX", {"hipDeviceAttributeMax", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
@@ -1457,14 +1460,14 @@ const std::map<llvm::StringRef, hipCounter> CUDA_DRIVER_TYPE_NAME_MAP {
{"CU_MEM_RANGE_ATTRIBUTE_ACCESSED_BY", {"hipMemRangeAttributeAccessedBy", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES}}, // 3
// cudaMemRangeAttributeLastPrefetchLocation
{"CU_MEM_RANGE_ATTRIBUTE_LAST_PREFETCH_LOCATION", {"hipMemRangeAttributeLastPrefetchLocation", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES}}, // 4
- //
+ // cudaMemRangeAttributePreferredLocationType
{"CU_MEM_RANGE_ATTRIBUTE_PREFERRED_LOCATION_TYPE", {"hipMemRangeAttributePreferredLocationType", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 5
- //
+ // cudaMemRangeAttributePreferredLocationId
{"CU_MEM_RANGE_ATTRIBUTE_PREFERRED_LOCATION_ID", {"hipMemRangeAttributePreferredLocationId", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 6
- //
- {"CU_MEM_RANGE_ATTRIBUTE_LAST_PREFETCH_LOCATION_TYPE", {"hipMemRangeAttributeLastPreferredLocationType", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 7
- //
- {"CU_MEM_RANGE_ATTRIBUTE_LAST_PREFETCH_LOCATION_ID", {"hipMemRangeAttributeLastPreferredLocationId", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 8
+ // cudaMemRangeAttributeLastPrefetchLocationType
+ {"CU_MEM_RANGE_ATTRIBUTE_LAST_PREFETCH_LOCATION_TYPE", {"hipMemRangeAttributeLastPrefetchLocationType", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 7
+ // cudaMemRangeAttributeLastPrefetchLocationId
+ {"CU_MEM_RANGE_ATTRIBUTE_LAST_PREFETCH_LOCATION_ID", {"hipMemRangeAttributeLastPrefetchLocationId", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 8
// no analogue
{"CUoccupancy_flags", {"hipOccupancyFlags", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
@@ -1998,11 +2001,11 @@ const std::map<llvm::StringRef, hipCounter> CUDA_DRIVER_TYPE_NAME_MAP {
{"CU_MEM_LOCATION_TYPE_INVALID", {"hipMemLocationTypeInvalid", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES}}, // 0x0
// cudaMemLocationTypeDevice
{"CU_MEM_LOCATION_TYPE_DEVICE", {"hipMemLocationTypeDevice", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES}}, // 0x1
- //
+ // cudaMemLocationTypeHost
{"CU_MEM_LOCATION_TYPE_HOST", {"hipMemLocationTypeHost", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 0x2
- //
+ // cudaMemLocationTypeHostNuma
{"CU_MEM_LOCATION_TYPE_HOST_NUMA", {"hipMemLocationTypeHostNuma", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 0x3
- //
+ // cudaMemLocationTypeHostNumaCurrent
{"CU_MEM_LOCATION_TYPE_HOST_NUMA_CURRENT", {"hipMemLocationTypeHostNumaCurrent", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 0x4
// no analogue
{"CU_MEM_LOCATION_TYPE_MAX", {"hipMemLocationTypeMax", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 0x7FFFFFFF
@@ -2534,6 +2537,15 @@ const std::map<llvm::StringRef, hipCounter> CUDA_DRIVER_TYPE_NAME_MAP {
//
{"CU_COREDUMP_MAX", {"HIP_COREDUMP_MAX", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+ // cudaDeviceNumaConfig
+ {"CUdeviceNumaConfig", {"hipDeviceNumaConfig", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+ {"CUdeviceNumaConfig_enum", {"hipDeviceNumaConfig", "", CONV_TYPE, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+ // CUdeviceNumaConfig enum values
+ // cudaDeviceNumaConfigNone
+ {"CU_DEVICE_NUMA_CONFIG_NONE", {"hipDeviceNumaConfigNone", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+ // cudaDeviceNumaConfigNumaNode
+ {"CU_DEVICE_NUMA_CONFIG_NUMA_NODE", {"hipDeviceNumaConfigNumaNode", "", CONV_NUMERIC_LITERAL, API_DRIVER, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+
// 4. Typedefs
// no analogue
@@ -3512,6 +3524,8 @@ const std::map<llvm::StringRef, cudaAPIversions> CUDA_DRIVER_TYPE_NAME_VER_MAP {
{"CUgraphNodeParams", {CUDA_122, CUDA_0, CUDA_0 }},
{"CUdeviceNumaConfig_enum", {CUDA_122, CUDA_0, CUDA_0 }},
{"CUdeviceNumaConfig", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"CU_DEVICE_NUMA_CONFIG_NONE", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"CU_DEVICE_NUMA_CONFIG_NUMA_NODE", {CUDA_122, CUDA_0, CUDA_0 }},
};
const std::map<llvm::StringRef, hipAPIversions> HIP_DRIVER_TYPE_NAME_VER_MAP {
diff --git a/src/CUDA2HIP_Runtime_API_functions.cpp b/src/CUDA2HIP_Runtime_API_functions.cpp
index 3616b64f..7ab124ac 100644
--- a/src/CUDA2HIP_Runtime_API_functions.cpp
+++ b/src/CUDA2HIP_Runtime_API_functions.cpp
@@ -308,6 +308,8 @@ const std::map<llvm::StringRef, hipCounter> CUDA_RUNTIME_FUNCTION_MAP {
{"cudaMallocPitch", {"hipMallocPitch", "", CONV_MEMORY, API_RUNTIME, SEC::MEMORY}},
// cuMemAdvise
{"cudaMemAdvise", {"hipMemAdvise", "", CONV_MEMORY, API_RUNTIME, SEC::MEMORY}},
+ // cuMemAdvise_v2
+ {"cudaMemAdvise_v2", {"hipMemAdvise_v2", "", CONV_MEMORY, API_RUNTIME, SEC::MEMORY, HIP_UNSUPPORTED}},
// no analogue
// NOTE: Not equal to cuMemcpy due to different signatures
{"cudaMemcpy", {"hipMemcpy", "", CONV_MEMORY, API_RUNTIME, SEC::MEMORY}},
@@ -358,8 +360,10 @@ const std::map<llvm::StringRef, hipCounter> CUDA_RUNTIME_FUNCTION_MAP {
{"cudaMemcpyToSymbolAsync", {"hipMemcpyToSymbolAsync", "", CONV_MEMORY, API_RUNTIME, SEC::MEMORY}},
// cuMemGetInfo
{"cudaMemGetInfo", {"hipMemGetInfo", "", CONV_MEMORY, API_RUNTIME, SEC::MEMORY}},
- // TODO: double check cuMemPrefetchAsync
+ // cuMemPrefetchAsync
{"cudaMemPrefetchAsync", {"hipMemPrefetchAsync", "", CONV_MEMORY, API_RUNTIME, SEC::MEMORY}},
+ // cuMemPrefetchAsync_v2
+ {"cudaMemPrefetchAsync_v2", {"hipMemPrefetchAsync_v2", "", CONV_MEMORY, API_RUNTIME, SEC::MEMORY, HIP_UNSUPPORTED}},
// cuMemRangeGetAttribute
{"cudaMemRangeGetAttribute", {"hipMemRangeGetAttribute", "", CONV_MEMORY, API_RUNTIME, SEC::MEMORY}},
// cuMemRangeGetAttributes
@@ -836,6 +840,12 @@ const std::map<llvm::StringRef, hipCounter> CUDA_RUNTIME_FUNCTION_MAP {
{"cudaGraphInstantiateWithParams", {"hipGraphInstantiateWithParams", "", CONV_GRAPH, API_RUNTIME, SEC::GRAPH, HIP_UNSUPPORTED}},
// cuGraphExecGetFlags
{"cudaGraphExecGetFlags", {"hipGraphExecGetFlags", "", CONV_GRAPH, API_RUNTIME, SEC::GRAPH, HIP_UNSUPPORTED}},
+ // cuGraphAddNode
+ {"cudaGraphAddNode", {"hipGraphAddNode", "", CONV_GRAPH, API_RUNTIME, SEC::GRAPH, HIP_UNSUPPORTED}},
+ // cuGraphNodeSetParams
+ {"cudaGraphNodeSetParams", {"hipGraphNodeSetParams", "", CONV_GRAPH, API_RUNTIME, SEC::GRAPH, HIP_UNSUPPORTED}},
+ // cuGraphExecNodeSetParams
+ {"cudaGraphExecNodeSetParams", {"hipGraphExecNodeSetParams", "", CONV_GRAPH, API_RUNTIME, SEC::GRAPH, HIP_UNSUPPORTED}},
// 29. Driver Entry Point Access
// cuGetProcAddress
@@ -875,7 +885,7 @@ const std::map<llvm::StringRef, hipCounter> CUDA_RUNTIME_FUNCTION_MAP {
// no analogue
{"cudaBindTextureToArray", {"hipBindTextureToArray", "", CONV_TEXTURE, API_RUNTIME, SEC::TEXTURE_REMOVED, HIP_DEPRECATED | CUDA_REMOVED}},
// no analogue
- {"cudaBindTextureToMipmappedArray", {"hipBindTextureToMipmappedArray", "", CONV_TEXTURE, API_RUNTIME, SEC::TEXTURE_REMOVED, CUDA_REMOVED}},
+ {"cudaBindTextureToMipmappedArray", {"hipBindTextureToMipmappedArray", "", CONV_TEXTURE, API_RUNTIME, SEC::TEXTURE_REMOVED, HIP_DEPRECATED | CUDA_REMOVED}},
// no analogue
{"cudaGetTextureAlignmentOffset", {"hipGetTextureAlignmentOffset", "", CONV_TEXTURE, API_RUNTIME, SEC::TEXTURE_REMOVED, HIP_DEPRECATED | CUDA_REMOVED}},
// no analogue
@@ -1110,6 +1120,11 @@ const std::map<llvm::StringRef, cudaAPIversions> CUDA_RUNTIME_FUNCTION_VER_MAP {
{"cudaGraphInstantiateWithParams", {CUDA_120, CUDA_0, CUDA_0 }},
{"cudaGraphExecGetFlags", {CUDA_120, CUDA_0, CUDA_0 }},
{"cudaGetKernel", {CUDA_121, CUDA_0, CUDA_0 }},
+ {"cudaMemPrefetchAsync_v2", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaMemAdvise_v2", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaGraphAddNode", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaGraphNodeSetParams", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaGraphExecNodeSetParams", {CUDA_122, CUDA_0, CUDA_0 }},
};
const std::map<llvm::StringRef, hipAPIversions> HIP_RUNTIME_FUNCTION_VER_MAP {
@@ -1230,7 +1245,7 @@ const std::map<llvm::StringRef, hipAPIversions> HIP_RUNTIME_FUNCTION_VER_MAP {
{"hipBindTexture", {HIP_1060, HIP_3080, HIP_0 }},
{"hipBindTexture2D", {HIP_1070, HIP_3080, HIP_0 }},
{"hipBindTextureToArray", {HIP_1060, HIP_3080, HIP_0 }},
- {"hipBindTextureToMipmappedArray", {HIP_1070, HIP_0, HIP_0 }},
+ {"hipBindTextureToMipmappedArray", {HIP_1070, HIP_5070, HIP_0 }},
{"hipCreateChannelDesc", {HIP_1060, HIP_0, HIP_0 }},
{"hipGetChannelDesc", {HIP_1070, HIP_0, HIP_0 }},
{"hipGetTextureAlignmentOffset", {HIP_1090, HIP_3080, HIP_0 }},
diff --git a/src/CUDA2HIP_Runtime_API_types.cpp b/src/CUDA2HIP_Runtime_API_types.cpp
index d66849e6..9428a1eb 100644
--- a/src/CUDA2HIP_Runtime_API_types.cpp
+++ b/src/CUDA2HIP_Runtime_API_types.cpp
@@ -70,6 +70,8 @@ const std::map<llvm::StringRef, hipCounter> CUDA_RUNTIME_TYPE_NAME_MAP {
// CUDA_HOST_NODE_PARAMS
{"cudaHostNodeParams", {"hipHostNodeParams", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES}},
+ // CUDA_HOST_NODE_PARAMS_v2
+ {"cudaHostNodeParamsV2", {"hipHostNodeParams_v2", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
// CUipcEventHandle
{"cudaIpcEventHandle_t", {"hipIpcEventHandle_t", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES}},
@@ -83,6 +85,8 @@ const std::map<llvm::StringRef, hipCounter> CUDA_RUNTIME_TYPE_NAME_MAP {
// CUDA_KERNEL_NODE_PARAMS
{"cudaKernelNodeParams", {"hipKernelNodeParams", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES}},
+ // CUDA_KERNEL_NODE_PARAMS_v2_st
+ {"cudaKernelNodeParamsV2", {"hipKernelNodeParams_v2", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
// no analogue
// CUDA_LAUNCH_PARAMS struct differs
@@ -97,6 +101,8 @@ const std::map<llvm::StringRef, hipCounter> CUDA_RUNTIME_TYPE_NAME_MAP {
// CUDA_MEMSET_NODE_PARAMS
{"cudaMemsetParams", {"hipMemsetParams", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES}},
+ // CUDA_MEMSET_NODE_PARAMS_v2
+ {"cudaMemsetParamsV2", {"hipMemsetParams_v2", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
// no analogue
{"cudaPitchedPtr", {"hipPitchedPtr", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES}},
@@ -210,12 +216,33 @@ const std::map<llvm::StringRef, hipCounter> CUDA_RUNTIME_TYPE_NAME_MAP {
// CUDA_EXT_SEM_SIGNAL_NODE_PARAMS_st
{"cudaExternalSemaphoreSignalNodeParams", {"hipExternalSemaphoreSignalNodeParams", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+ // CUDA_EXT_SEM_SIGNAL_NODE_PARAMS_v2_st
+ {"cudaExternalSemaphoreSignalNodeParamsV2", {"hipExternalSemaphoreSignalNodeParams_v2", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
// CUDA_EXT_SEM_WAIT_NODE_PARAMS_st
{"cudaExternalSemaphoreWaitNodeParams", {"hipExternalSemaphoreWaitNodeParams", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+ // CUDA_EXT_SEM_WAIT_NODE_PARAMS_v2_st
+ {"cudaExternalSemaphoreWaitNodeParamsV2", {"hipExternalSemaphoreWaitNodeParams_v2", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
// CUDA_MEM_ALLOC_NODE_PARAMS_st
{"cudaMemAllocNodeParams", {"hipMemAllocNodeParams", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES}},
+ // CUDA_MEM_ALLOC_NODE_PARAMS_v2_st
+ {"cudaMemAllocNodeParamsV2", {"hipMemAllocNodeParams_v2", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+
+ // CUDA_MEM_FREE_NODE_PARAMS_st
+ {"cudaMemFreeNodeParams", {"hipMemFreeNodeParams", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+
+ // CUDA_CHILD_GRAPH_NODE_PARAMS_st
+ {"cudaChildGraphNodeParams", {"hipChildGraphNodeParams", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+
+ // CUDA_EVENT_RECORD_NODE_PARAMS_st
+ {"cudaEventRecordNodeParams", {"hipEventRecordNodeParams", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+
+ // CUDA_EVENT_WAIT_NODE_PARAMS_st
+ {"cudaEventWaitNodeParams", {"hipEventWaitNodeParams", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+
+ // CUgraphNodeParams_st
+ {"cudaGraphNodeParams", {"hipGraphNodeParams", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
// CUDA_ARRAY_MEMORY_REQUIREMENTS_st
{"cudaArrayMemoryRequirements", {"hipArrayMemoryRequirements", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
@@ -230,6 +257,9 @@ const std::map<llvm::StringRef, hipCounter> CUDA_RUNTIME_TYPE_NAME_MAP {
// CUkernel
{"cudaKernel_t", {"hipKernel", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+ // CUDA_MEMCPY_NODE_PARAMS
+ {"cudaMemcpyNodeParams", {"hiMemcpyNodeParams", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+
// 2. Unions
// CUstreamAttrValue
@@ -586,11 +616,11 @@ const std::map<llvm::StringRef, hipCounter> CUDA_RUNTIME_TYPE_NAME_MAP {
{"cudaDevAttrClusterLaunch", {"hipDeviceAttributeClusterLaunch", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 120
// CU_DEVICE_ATTRIBUTE_DEFERRED_MAPPING_CUDA_ARRAY_SUPPORTED
{"cudaDevAttrDeferredMappingCudaArraySupported", {"hipDeviceAttributeDeferredMappingCudaArraySupported", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 121
- //
+ // CU_DEVICE_ATTRIBUTE_CAN_USE_64_BIT_STREAM_MEM_OPS_V2
{"cudaDevAttrReserved122", {"hipDevAttrReserved122", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 122
- //
+ // CU_DEVICE_ATTRIBUTE_CAN_USE_STREAM_WAIT_VALUE_NOR_V2
{"cudaDevAttrReserved123", {"hipDevAttrReserved123", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 123
- //
+ // CU_DEVICE_ATTRIBUTE_DMA_BUF_SUPPORTED
{"cudaDevAttrReserved124", {"hipDevAttrReserved124", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 124
// CU_DEVICE_ATTRIBUTE_IPC_EVENT_SUPPORTED
{"cudaDevAttrIpcEventSupport", {"hipDevAttrIpcEventSupport", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 125
@@ -598,12 +628,18 @@ const std::map<llvm::StringRef, hipCounter> CUDA_RUNTIME_TYPE_NAME_MAP {
{"cudaDevAttrMemSyncDomainCount", {"hipDevAttrMemSyncDomainCount", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 126
// CU_DEVICE_ATTRIBUTE_TENSOR_MAP_ACCESS_SUPPORTED
{"cudaDevAttrReserved127", {"hipDeviceAttributeTensorMapAccessSupported", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 127
- //
+ // CUDA only
{"cudaDevAttrReserved128", {"hipDevAttrReserved128", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 128
// CU_DEVICE_ATTRIBUTE_UNIFIED_FUNCTION_POINTERS
{"cudaDevAttrReserved129", {"hipDeviceAttributeUnifiedFunctionPointers", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 129
+ // CU_DEVICE_ATTRIBUTE_NUMA_CONFIG
+ {"cudaDevAttrNumaConfig", {"hipDeviceAttributeNumaConfig", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 130
+ // CU_DEVICE_ATTRIBUTE_NUMA_ID
+ {"cudaDevAttrNumaId", {"hipDeviceAttributeNumaId", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 131
// CU_DEVICE_ATTRIBUTE_MULTICAST_SUPPORTED
{"cudaDevAttrReserved132", {"hipDeviceAttributeMulticastSupported", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 132
+ // CU_DEVICE_ATTRIBUTE_HOST_NUMA_ID
+ {"cudaDevAttrHostNumaId", {"hipDeviceAttributeHostNumaId", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 134
// CU_DEVICE_ATTRIBUTE_MAX
{"cudaDevAttrMax", {"hipDeviceAttributeMax", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
@@ -1292,6 +1328,14 @@ const std::map<llvm::StringRef, hipCounter> CUDA_RUNTIME_TYPE_NAME_MAP {
{"cudaMemRangeAttributeAccessedBy", {"hipMemRangeAttributeAccessedBy", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES}}, // 3
// CU_MEM_RANGE_ATTRIBUTE_LAST_PREFETCH_LOCATION
{"cudaMemRangeAttributeLastPrefetchLocation", {"hipMemRangeAttributeLastPrefetchLocation", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES}}, // 4
+ // CU_MEM_RANGE_ATTRIBUTE_PREFERRED_LOCATION_TYPE
+ {"cudaMemRangeAttributePreferredLocationType", {"hipMemRangeAttributePreferredLocationType", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 5
+ // CU_MEM_RANGE_ATTRIBUTE_PREFERRED_LOCATION_ID
+ {"cudaMemRangeAttributePreferredLocationId", {"hipMemRangeAttributePreferredLocationId", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 6
+ // CU_MEM_RANGE_ATTRIBUTE_LAST_PREFETCH_LOCATION_TYPE
+ {"cudaMemRangeAttributeLastPrefetchLocationType", {"hipMemRangeAttributeLastPrefetchLocationType", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 7
+ // CU_MEM_RANGE_ATTRIBUTE_LAST_PREFETCH_LOCATION_ID
+ {"cudaMemRangeAttributeLastPrefetchLocationId", {"hipMemRangeAttributeLastPrefetchLocationId", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 8
// no analogue
{"cudaOutputMode", {"hipOutputMode", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED | CUDA_REMOVED}},
@@ -1611,6 +1655,12 @@ const std::map<llvm::StringRef, hipCounter> CUDA_RUNTIME_TYPE_NAME_MAP {
{"cudaMemLocationTypeInvalid", {"hipMemLocationTypeInvalid", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES}}, // 0
// CU_MEM_LOCATION_TYPE_DEVICE
{"cudaMemLocationTypeDevice", {"hipMemLocationTypeDevice", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES}}, // 1
+ // CU_MEM_LOCATION_TYPE_HOST
+ {"cudaMemLocationTypeHost", {"hipMemLocationTypeHost", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 2
+ // CU_MEM_LOCATION_TYPE_HOST_NUMA
+ {"cudaMemLocationTypeHostNuma", {"hipMemLocationTypeHostNuma", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 3
+ // CU_MEM_LOCATION_TYPE_HOST_NUMA_CURRENT
+ {"cudaMemLocationTypeHostNumaCurrent", {"hipMemLocationTypeHostNumaCurrent", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}}, // 4
// CUmemAllocationType
{"cudaMemAllocationType", {"hipMemAllocationType", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES}},
@@ -1819,6 +1869,14 @@ const std::map<llvm::StringRef, hipCounter> CUDA_RUNTIME_TYPE_NAME_MAP {
// CU_LAUNCH_MEM_SYNC_DOMAIN_REMOTE
{"cudaLaunchMemSyncDomainRemote", {"hipLaunchMemSyncDomainRemote", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+ // CUdeviceNumaConfig
+ {"cudaDeviceNumaConfig", {"hipDeviceNumaConfig", "", CONV_TYPE, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+ // cudaDeviceNumaConfig enum values
+ // CU_DEVICE_NUMA_CONFIG_NONE
+ {"cudaDeviceNumaConfigNone", {"hipDeviceNumaConfigNone", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+ // CU_DEVICE_NUMA_CONFIG_NUMA_NODE
+ {"cudaDeviceNumaConfigNumaNode", {"hipDeviceNumaConfigNumaNode", "", CONV_NUMERIC_LITERAL, API_RUNTIME, SEC::DATA_TYPES, HIP_UNSUPPORTED}},
+
// 4. Typedefs
// CUhostFn
@@ -2508,6 +2566,31 @@ const std::map<llvm::StringRef, cudaAPIversions> CUDA_RUNTIME_TYPE_NAME_VER_MAP
{"cudaDevAttrReserved132", {CUDA_121, CUDA_0, CUDA_0 }},
{"CUkern_st", {CUDA_121, CUDA_0, CUDA_0 }},
{"cudaKernel_t", {CUDA_121, CUDA_0, CUDA_0 }},
+ {"cudaMemcpyNodeParams", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaMemsetParamsV2", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaHostNodeParamsV2", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaMemRangeAttributePreferredLocationType", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaMemRangeAttributePreferredLocationId", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaMemRangeAttributeLastPrefetchLocationType", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaMemRangeAttributeLastPrefetchLocationId", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaDevAttrNumaConfig", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaDevAttrNumaId", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaDevAttrHostNumaId", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaMemLocationTypeHost", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaMemLocationTypeHostNuma", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaMemLocationTypeHostNumaCurrent", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaMemAllocNodeParamsV2", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaMemFreeNodeParams", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaKernelNodeParamsV2", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaExternalSemaphoreSignalNodeParamsV2", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaExternalSemaphoreWaitNodeParamsV2", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaChildGraphNodeParams", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaEventRecordNodeParams", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaEventWaitNodeParams", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaGraphNodeParams", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaDeviceNumaConfig", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaDeviceNumaConfigNone", {CUDA_122, CUDA_0, CUDA_0 }},
+ {"cudaDeviceNumaConfigNumaNode", {CUDA_122, CUDA_0, CUDA_0 }},
};
const std::map<llvm::StringRef, hipAPIversions> HIP_RUNTIME_TYPE_NAME_VER_MAP {
diff --git a/src/CUDA2HIP_SPARSE_API_functions.cpp b/src/CUDA2HIP_SPARSE_API_functions.cpp
index b2a24b97..70562a19 100644
--- a/src/CUDA2HIP_SPARSE_API_functions.cpp
+++ b/src/CUDA2HIP_SPARSE_API_functions.cpp
@@ -551,7 +551,7 @@ const std::map<llvm::StringRef, hipCounter> CUDA_SPARSE_FUNCTION_MAP {
{"cusparseCcsr2gebsr", {"hipsparseCcsr2gebsr", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED}},
{"cusparseZcsr2gebsr", {"hipsparseZcsr2gebsr", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED}},
- {"cusparseXcoo2csr", {"hipsparseXcoo2csr", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED}},
+ {"cusparseXcoo2csr", {"hipsparseXcoo2csr", "rocsparse_coo2csr", CONV_LIB_FUNC, API_SPARSE, 14}},
{"cusparseScsc2dense", {"hipsparseScsc2dense", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED | CUDA_DEPRECATED | CUDA_REMOVED}},
{"cusparseDcsc2dense", {"hipsparseDcsc2dense", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED | CUDA_DEPRECATED | CUDA_REMOVED}},
@@ -615,10 +615,14 @@ const std::map<llvm::StringRef, hipCounter> CUDA_SPARSE_FUNCTION_MAP {
{"cusparseChyb2csc", {"hipsparseChyb2csc", "", CONV_LIB_FUNC, API_SPARSE, 14, UNSUPPORTED | CUDA_DEPRECATED | CUDA_REMOVED}},
{"cusparseZhyb2csc", {"hipsparseZhyb2csc", "", CONV_LIB_FUNC, API_SPARSE, 14, UNSUPPORTED | CUDA_DEPRECATED | CUDA_REMOVED}},
- {"cusparseShyb2csr", {"hipsparseShyb2csr", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED |CUDA_DEPRECATED | CUDA_REMOVED}},
- {"cusparseDhyb2csr", {"hipsparseDhyb2csr", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED |CUDA_DEPRECATED | CUDA_REMOVED}},
- {"cusparseChyb2csr", {"hipsparseChyb2csr", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED |CUDA_DEPRECATED | CUDA_REMOVED}},
- {"cusparseZhyb2csr", {"hipsparseZhyb2csr", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED |CUDA_DEPRECATED | CUDA_REMOVED}},
+ // NOTE: rocsparse_shyb2csr has one additioanl attribute void* temp_buffer; see hipsparseShyb2csr implementation, which wraps rocsparse_hyb2csr_buffer_size + rocsparse_shyb2csr
+ {"cusparseShyb2csr", {"hipsparseShyb2csr", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED | CUDA_DEPRECATED | CUDA_REMOVED}},
+ // NOTE: rocsparse_dhyb2csr has one additioanl attribute void* temp_buffer; see hipsparseDhyb2csr implementation, which wraps rocsparse_hyb2csr_buffer_size + rocsparse_dhyb2csr
+ {"cusparseDhyb2csr", {"hipsparseDhyb2csr", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED | CUDA_DEPRECATED | CUDA_REMOVED}},
+ // NOTE: rocsparse_chyb2csr has one additioanl attribute void* temp_buffer; see hipsparseChyb2csr implementation, which wraps rocsparse_hyb2csr_buffer_size + rocsparse_chyb2csr
+ {"cusparseChyb2csr", {"hipsparseChyb2csr", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED | CUDA_DEPRECATED | CUDA_REMOVED}},
+ // NOTE: rocsparse_zhyb2csr has one additioanl attribute void* temp_buffer; see hipsparseZhyb2csr implementation, which wraps rocsparse_hyb2csr_buffer_size + rocsparse_zhyb2csr
+ {"cusparseZhyb2csr", {"hipsparseZhyb2csr", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED | CUDA_DEPRECATED | CUDA_REMOVED}},
{"cusparseShyb2dense", {"hipsparseShyb2dense", "", CONV_LIB_FUNC, API_SPARSE, 14, UNSUPPORTED | CUDA_DEPRECATED | CUDA_REMOVED}},
{"cusparseDhyb2dense", {"hipsparseDhyb2dense", "", CONV_LIB_FUNC, API_SPARSE, 14, UNSUPPORTED | CUDA_DEPRECATED | CUDA_REMOVED}},
@@ -630,17 +634,17 @@ const std::map<llvm::StringRef, hipCounter> CUDA_SPARSE_FUNCTION_MAP {
{"cusparseCnnz", {"hipsparseCnnz", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED}},
{"cusparseZnnz", {"hipsparseZnnz", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED}},
- {"cusparseCreateIdentityPermutation", {"hipsparseCreateIdentityPermutation", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED}},
+ {"cusparseCreateIdentityPermutation", {"hipsparseCreateIdentityPermutation", "rocsparse_create_identity_permutation", CONV_LIB_FUNC, API_SPARSE, 14}},
- {"cusparseXcoosort_bufferSizeExt", {"hipsparseXcoosort_bufferSizeExt", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED}},
+ {"cusparseXcoosort_bufferSizeExt", {"hipsparseXcoosort_bufferSizeExt", "rocsparse_coosort_buffer_size", CONV_LIB_FUNC, API_SPARSE, 14}},
{"cusparseXcoosortByRow", {"hipsparseXcoosortByRow", "rocsparse_coosort_by_row", CONV_LIB_FUNC, API_SPARSE, 14}},
{"cusparseXcoosortByColumn", {"hipsparseXcoosortByColumn", "rocsparse_coosort_by_column", CONV_LIB_FUNC, API_SPARSE, 14}},
- {"cusparseXcsrsort_bufferSizeExt", {"hipsparseXcsrsort_bufferSizeExt", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED}},
- {"cusparseXcsrsort", {"hipsparseXcsrsort", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED}},
+ {"cusparseXcsrsort_bufferSizeExt", {"hipsparseXcsrsort_bufferSizeExt", "rocsparse_csrsort_buffer_size", CONV_LIB_FUNC, API_SPARSE, 14}},
+ {"cusparseXcsrsort", {"hipsparseXcsrsort", "rocsparse_csrsort", CONV_LIB_FUNC, API_SPARSE, 14}},
- {"cusparseXcscsort_bufferSizeExt", {"hipsparseXcscsort_bufferSizeExt", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED}},
- {"cusparseXcscsort", {"hipsparseXcscsort", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED}},
+ {"cusparseXcscsort_bufferSizeExt", {"hipsparseXcscsort_bufferSizeExt", "rocsparse_cscsort_buffer_size", CONV_LIB_FUNC, API_SPARSE, 14}},
+ {"cusparseXcscsort", {"hipsparseXcscsort", "rocsparse_cscsort", CONV_LIB_FUNC, API_SPARSE, 14}},
{"cusparseCreateCsru2csrInfo", {"hipsparseCreateCsru2csrInfo", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED}},
{"cusparseDestroyCsru2csrInfo", {"hipsparseDestroyCsru2csrInfo", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED}},
@@ -698,7 +702,7 @@ const std::map<llvm::StringRef, hipCounter> CUDA_SPARSE_FUNCTION_MAP {
{"cusparseHpruneCsr2csrByPercentage", {"hipsparseHpruneCsr2csrByPercentage", "", CONV_LIB_FUNC, API_SPARSE, 14, UNSUPPORTED}},
{"cusparseSpruneCsr2csrByPercentage", {"hipsparseSpruneCsr2csrByPercentage", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED}},
- {"cusparseDpruneCsr2csrByPercentage", {"hipsparseDpruneCsr2csrByPercentage", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED}},
+ {"cusparseDpruneCsr2csrByPercentage", {"hipsparseDpruneCsr2csrByPercentage", "rocsparse_dprune_csr2csr_by_percentage", CONV_LIB_FUNC, API_SPARSE, 14}},
{"cusparseHpruneCsr2csrByPercentage_bufferSizeExt", {"hipsparseHpruneCsr2csrByPercentage_bufferSizeExt", "", CONV_LIB_FUNC, API_SPARSE, 14, UNSUPPORTED}},
{"cusparseSpruneCsr2csrByPercentage_bufferSizeExt", {"hipsparseSpruneCsr2csrByPercentage_bufferSizeExt", "", CONV_LIB_FUNC, API_SPARSE, 14, ROC_UNSUPPORTED}},
@@ -1895,6 +1899,14 @@ const std::map<llvm::StringRef, hipAPIversions> HIP_SPARSE_FUNCTION_VER_MAP {
{"rocsparse_sbsr2csr", {HIP_3100, HIP_0, HIP_0 }},
{"rocsparse_coosort_by_column", {HIP_1090, HIP_0, HIP_0 }},
{"rocsparse_coosort_by_row", {HIP_1090, HIP_0, HIP_0 }},
+ {"rocsparse_coosort_buffer_size", {HIP_1090, HIP_0, HIP_0 }},
+ {"rocsparse_cscsort", {HIP_2100, HIP_0, HIP_0 }},
+ {"rocsparse_cscsort_buffer_size", {HIP_2100, HIP_0, HIP_0 }},
+ {"rocsparse_csrsort", {HIP_1090, HIP_0, HIP_0 }},
+ {"rocsparse_csrsort_buffer_size", {HIP_1090, HIP_0, HIP_0 }},
+ {"rocsparse_create_identity_permutation", {HIP_1090, HIP_0, HIP_0 }},
+ {"rocsparse_coo2csr", {HIP_1090, HIP_0, HIP_0 }},
+ {"rocsparse_dprune_csr2csr_by_percentage", {HIP_3090, HIP_0, HIP_0 }},
};
const std::map<unsigned int, llvm::StringRef> CUDA_SPARSE_API_SECTION_MAP {
diff --git a/src/CUDA2HIP_SPARSE_API_types.cpp b/src/CUDA2HIP_SPARSE_API_types.cpp
index 3ae22cf2..233912cd 100644
--- a/src/CUDA2HIP_SPARSE_API_types.cpp
+++ b/src/CUDA2HIP_SPARSE_API_types.cpp
@@ -68,8 +68,8 @@ const std::map<llvm::StringRef, hipCounter> CUDA_SPARSE_TYPE_NAME_MAP {
{"cusparseColorInfo", {"hipsparseColorInfo", "_rocsparse_color_info", CONV_TYPE, API_SPARSE, 4, HIP_UNSUPPORTED}},
{"cusparseColorInfo_t", {"hipsparseColorInfo_t", "rocsparse_color_info", CONV_TYPE, API_SPARSE, 4}},
- {"pruneInfo", {"pruneInfo", "", CONV_TYPE, API_SPARSE, 4, UNSUPPORTED}},
- {"pruneInfo_t", {"pruneInfo_t", "", CONV_TYPE, API_SPARSE, 4, ROC_UNSUPPORTED}},
+ {"pruneInfo", {"pruneInfo", "_rocsparse_mat_info", CONV_TYPE, API_SPARSE, 4}},
+ {"pruneInfo_t", {"pruneInfo_t", "rocsparse_mat_info", CONV_TYPE, API_SPARSE, 4}},
{"cusparseSpMatDescr", {"hipsparseSpMatDescr", "_rocsparse_spmat_descr", CONV_TYPE, API_SPARSE, 4, HIP_UNSUPPORTED}},
{"cusparseSpMatDescr_t", {"hipsparseSpMatDescr_t", "rocsparse_spmat_descr", CONV_TYPE, API_SPARSE, 4}},
@@ -401,6 +401,7 @@ const std::map<llvm::StringRef, hipAPIversions> HIP_SPARSE_TYPE_NAME_VER_MAP {
{"csrilu02Info_t", {HIP_1092, HIP_0, HIP_0 }},
{"bsrilu02Info_t", {HIP_3090, HIP_0, HIP_0 }},
{"csrgemm2Info_t", {HIP_2080, HIP_0, HIP_0 }},
+ {"pruneInfo", {HIP_3090, HIP_0, HIP_0 }},
{"pruneInfo_t", {HIP_3090, HIP_0, HIP_0 }},
{"hipsparseAction_t", {HIP_1092, HIP_0, HIP_0 }},
{"HIPSPARSE_ACTION_SYMBOLIC", {HIP_1092, HIP_0, HIP_0 }},
@@ -631,4 +632,6 @@ const std::map<llvm::StringRef, hipAPIversions> HIP_SPARSE_TYPE_NAME_VER_MAP {
{"rocsparse_dense_to_sparse_alg_default", {HIP_4010, HIP_0, HIP_0 }},
{"rocsparse_spgemm_alg", {HIP_4010, HIP_0, HIP_0 }},
{"rocsparse_spgemm_alg_default", {HIP_4010, HIP_0, HIP_0 }},
+ {"_rocsparse_mat_info", {HIP_1090, HIP_0, HIP_0 }},
+ {"rocsparse_mat_info", {HIP_1090, HIP_0, HIP_0 }},
};
diff --git a/src/HipifyAction.cpp b/src/HipifyAction.cpp
index 7e252a9b..2c635d58 100644
--- a/src/HipifyAction.cpp
+++ b/src/HipifyAction.cpp
@@ -1199,12 +1199,11 @@ class PPCallbackProxy : public clang::PPCallbacks {
public:
explicit PPCallbackProxy(HipifyAction &action): hipifyAction(action) {}
- // [ToDo] Remove SWDEV_375013 related guards from CMakeLists.txt and HipifyAction.cpp along with the LLVM 16.0.0 official release
void InclusionDirective(clang::SourceLocation hash_loc, const clang::Token &include_token,
StringRef file_name, bool is_angled, clang::CharSourceRange filename_range,
#if LLVM_VERSION_MAJOR < 15
const clang::FileEntry *file,
-#elif (LLVM_VERSION_MAJOR == 15) || (LLVM_VERSION_MAJOR == 16 && SWDEV_375013)
+#elif LLVM_VERSION_MAJOR == 15
Optional<clang::FileEntryRef> file,
#else
clang::OptionalFileEntryRef file,
diff --git a/tests/unit_tests/synthetic/libraries/cublas2hipblas.cu b/tests/unit_tests/synthetic/libraries/cublas2hipblas.cu
index fa917ec3..982f1e74 100644
--- a/tests/unit_tests/synthetic/libraries/cublas2hipblas.cu
+++ b/tests/unit_tests/synthetic/libraries/cublas2hipblas.cu
@@ -208,7 +208,9 @@ int main() {
float fresult = 0;
float** fAarray = 0;
+ const float** const fAarray_const = const_cast<const float**>(fAarray);
float** fBarray = 0;
+ const float** const fBarray_const = const_cast<const float**>(fBarray);
float** fCarray = 0;
float** fTauarray = 0;
@@ -228,12 +230,16 @@ int main() {
double dresult = 0;
double** dAarray = 0;
+ const double** const dAarray_const = const_cast<const double**>(dAarray);
double** dBarray = 0;
+ const double** const dBarray_const = const_cast<const double**>(dBarray);
double** dCarray = 0;
double** dTauarray = 0;
void** voidAarray = nullptr;
+ const void** const voidAarray_const = const_cast<const void**>(voidAarray);
void** voidBarray = nullptr;
+ const void** const voidBarray_const = const_cast<const void**>(voidBarray);
void** voidCarray = nullptr;
// NOTE: float CUBLASWINAPI cublasSnrm2(int n, const float* x, int incx) is not supported by HIP
@@ -254,20 +260,28 @@ int main() {
cuDoubleComplex dcomplex, dcomplexa, dcomplexA, dcomplexB, dcomplexC, dcomplexx, dcomplexy, dcomplexs, dcomplexb;
// CHECK: hipComplex** complexAarray = 0;
+ // CHECK: const hipComplex** const complexAarray_const = const_cast<const hipComplex**>(complexAarray);
// CHECK-NEXT: hipComplex** complexBarray = 0;
+ // CHECK: const hipComplex** const complexBarray_const = const_cast<const hipComplex**>(complexBarray);
// CHECK-NEXT: hipComplex** complexCarray = 0;
// CHECK-NEXT: hipComplex** complexTauarray = 0;
cuComplex** complexAarray = 0;
+ const cuComplex** const complexAarray_const = const_cast<const cuComplex**>(complexAarray);
cuComplex** complexBarray = 0;
+ const cuComplex** const complexBarray_const = const_cast<const cuComplex**>(complexBarray);
cuComplex** complexCarray = 0;
cuComplex** complexTauarray = 0;
// CHECK: hipDoubleComplex** dcomplexAarray = 0;
+ // CHECK: const hipDoubleComplex** const dcomplexAarray_const = const_cast<const hipDoubleComplex**>(dcomplexAarray);
// CHECK-NEXT: hipDoubleComplex** dcomplexBarray = 0;
+ // CHECK: const hipDoubleComplex** const dcomplexBarray_const = const_cast<const hipDoubleComplex**>(dcomplexBarray);
// CHECK-NEXT: hipDoubleComplex** dcomplexCarray = 0;
// CHECK-NEXT: hipDoubleComplex** dcomplexTauarray = 0;
cuDoubleComplex** dcomplexAarray = 0;
+ const cuDoubleComplex** const dcomplexAarray_const = const_cast<const cuDoubleComplex**>(dcomplexAarray);
cuDoubleComplex** dcomplexBarray = 0;
+ const cuDoubleComplex** const dcomplexBarray_const = const_cast<const cuDoubleComplex**>(dcomplexBarray);
cuDoubleComplex** dcomplexCarray = 0;
cuDoubleComplex** dcomplexTauarray = 0;
@@ -1041,13 +1055,13 @@ int main() {
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const float* alpha, const float* const Aarray[], int lda, const float* const Barray[], int ldb, const float* beta, float* const Carray[], int ldc, int batchCount);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasSgemmBatched(hipblasHandle_t handle, hipblasOperation_t transA, hipblasOperation_t transB, int m, int n, int k, const float* alpha, const float* const AP[], int lda, const float* const BP[], int ldb, const float* beta, float* const CP[], int ldc, int batchCount);
- // CHECK: blasStatus = hipblasSgemmBatched(blasHandle, transa, transb, m, n, k, &fa, fAarray, lda, fBarray, ldb, &fb, fCarray, ldc, batchCount);
- blasStatus = cublasSgemmBatched(blasHandle, transa, transb, m, n, k, &fa, fAarray, lda, fBarray, ldb, &fb, fCarray, ldc, batchCount);
+ // CHECK: blasStatus = hipblasSgemmBatched(blasHandle, transa, transb, m, n, k, &fa, fAarray_const, lda, fBarray_const, ldb, &fb, fCarray, ldc, batchCount);
+ blasStatus = cublasSgemmBatched(blasHandle, transa, transb, m, n, k, &fa, fAarray_const, lda, fBarray_const, ldb, &fb, fCarray, ldc, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const double* alpha, const double* const Aarray[], int lda, const double* const Barray[], int ldb, const double* beta, double* const Carray[], int ldc, int batchCount);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasDgemmBatched(hipblasHandle_t handle, hipblasOperation_t transA, hipblasOperation_t transB, int m, int n, int k, const double* alpha, const double* const AP[], int lda, const double* const BP[], int ldb, const double* beta, double* const CP[], int ldc, int batchCount);
- // CHECK: blasStatus = hipblasDgemmBatched(blasHandle, transa, transb, m, n, k, &da, dAarray, lda, dBarray, ldb, &db, dCarray, ldc, batchCount);
- blasStatus = cublasDgemmBatched(blasHandle, transa, transb, m, n, k, &da, dAarray, lda, dBarray, ldb, &db, dCarray, ldc, batchCount);
+ // CHECK: blasStatus = hipblasDgemmBatched(blasHandle, transa, transb, m, n, k, &da, dAarray_const, lda, dBarray_const, ldb, &db, dCarray, ldc, batchCount);
+ blasStatus = cublasDgemmBatched(blasHandle, transa, transb, m, n, k, &da, dAarray_const, lda, dBarray_const, ldb, &db, dCarray, ldc, batchCount);
// TODO: __half -> hipblasHalf
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasHgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const __half* alpha, const __half* const Aarray[], int lda, const __half* const Barray[], int ldb, const __half* beta, __half* const Carray[], int ldc, int batchCount);
@@ -1055,13 +1069,13 @@ int main() {
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const cuComplex* alpha, const cuComplex* const Aarray[], int lda, const cuComplex* const Barray[], int ldb, const cuComplex* beta, cuComplex* const Carray[], int ldc, int batchCount);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasCgemmBatched(hipblasHandle_t handle, hipblasOperation_t transA, hipblasOperation_t transB, int m, int n, int k, const hipblasComplex* alpha, const hipblasComplex* const AP[], int lda, const hipblasComplex* const BP[], int ldb, const hipblasComplex* beta, hipblasComplex* const CP[], int ldc, int batchCount);
- // CHECK: blasStatus = hipblasCgemmBatched(blasHandle, transa, transb, m, n, k, &complexa, complexAarray, lda, complexBarray, ldb, &complexb, complexCarray, ldc, batchCount);
- blasStatus = cublasCgemmBatched(blasHandle, transa, transb, m, n, k, &complexa, complexAarray, lda, complexBarray, ldb, &complexb, complexCarray, ldc, batchCount);
+ // CHECK: blasStatus = hipblasCgemmBatched(blasHandle, transa, transb, m, n, k, &complexa, complexAarray_const, lda, complexBarray_const, ldb, &complexb, complexCarray, ldc, batchCount);
+ blasStatus = cublasCgemmBatched(blasHandle, transa, transb, m, n, k, &complexa, complexAarray_const, lda, complexBarray_const, ldb, &complexb, complexCarray, ldc, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const cuDoubleComplex* alpha, const cuDoubleComplex* const Aarray[], int lda, const cuDoubleComplex* const Barray[], int ldb, const cuDoubleComplex* beta, cuDoubleComplex* const Carray[], int ldc, int batchCount);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasZgemmBatched(hipblasHandle_t handle, hipblasOperation_t transA, hipblasOperation_t transB, int m, int n, int k, const hipblasDoubleComplex* alpha, const hipblasDoubleComplex* const AP[], int lda, const hipblasDoubleComplex* const BP[], int ldb, const hipblasDoubleComplex* beta, hipblasDoubleComplex* const CP[], int ldc, int batchCount);
- // CHECK: blasStatus = hipblasZgemmBatched(blasHandle, transa, transb, m, n, k, &dcomplexa, dcomplexAarray, lda, dcomplexBarray, ldb, &dcomplexb, dcomplexCarray, ldc, batchCount);
- blasStatus = cublasZgemmBatched(blasHandle, transa, transb, m, n, k, &dcomplexa, dcomplexAarray, lda, dcomplexBarray, ldb, &dcomplexb, dcomplexCarray, ldc, batchCount);
+ // CHECK: blasStatus = hipblasZgemmBatched(blasHandle, transa, transb, m, n, k, &dcomplexa, dcomplexAarray_const, lda, dcomplexBarray_const, ldb, &dcomplexb, dcomplexCarray, ldc, batchCount);
+ blasStatus = cublasZgemmBatched(blasHandle, transa, transb, m, n, k, &dcomplexa, dcomplexAarray_const, lda, dcomplexBarray_const, ldb, &dcomplexb, dcomplexCarray, ldc, batchCount);
// NOTE: void CUBLASWINAPI cublasSsyrk(char uplo, char trans, int n, int k, float alpha, const float* A, int lda, float beta, float* C, int ldc); is not supported by HIP
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsyrk_v2(cublasHandle_t handle, cublasFillMode_t uplo, cublasOperation_t trans, int n, int k, const float* alpha, const float* A, int lda, const float* beta, float* C, int ldc);
@@ -1267,63 +1281,63 @@ int main() {
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgetriBatched(cublasHandle_t handle, int n, const float* const A[], int lda, const int* P, float* const C[], int ldc, int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasSgetriBatched(hipblasHandle_t handle, const int n, float* const A[], const int lda, int* ipiv, float* const C[], const int ldc, int* info, const int batchCount);
- // CHECK: blasStatus = hipblasSgetriBatched(blasHandle, n, fAarray, lda, &P, fCarray, ldc, &info, batchCount);
- blasStatus = cublasSgetriBatched(blasHandle, n, fAarray, lda, &P, fCarray, ldc, &info, batchCount);
+ // CHECK: blasStatus = hipblasSgetriBatched(blasHandle, n, fAarray_const, lda, &P, fCarray, ldc, &info, batchCount);
+ blasStatus = cublasSgetriBatched(blasHandle, n, fAarray_const, lda, &P, fCarray, ldc, &info, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgetriBatched(cublasHandle_t handle, int n, const double* const A[], int lda, const int* P, double* const C[], int ldc, int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasDgetriBatched(hipblasHandle_t handle, const int n, double* const A[], const int lda, int* ipiv, double* const C[], const int ldc, int* info, const int batchCount);
- // CHECK: blasStatus = hipblasDgetriBatched(blasHandle, n, dAarray, lda, &P, dCarray, ldc, &info, batchCount);
- blasStatus = cublasDgetriBatched(blasHandle, n, dAarray, lda, &P, dCarray, ldc, &info, batchCount);
+ // CHECK: blasStatus = hipblasDgetriBatched(blasHandle, n, dAarray_const, lda, &P, dCarray, ldc, &info, batchCount);
+ blasStatus = cublasDgetriBatched(blasHandle, n, dAarray_const, lda, &P, dCarray, ldc, &info, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgetriBatched(cublasHandle_t handle, int n, const cuComplex* const A[], int lda, const int* P, cuComplex* const C[], int ldc, int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasCgetriBatched(hipblasHandle_t handle, const int n, hipblasComplex* const A[], const int lda, int* ipiv, hipblasComplex* const C[], const int ldc, int* info, const int batchCount);
- // CHECK: blasStatus = hipblasCgetriBatched(blasHandle, n, complexAarray, lda, &P, complexCarray, ldc, &info, batchCount);
- blasStatus = cublasCgetriBatched(blasHandle, n, complexAarray, lda, &P, complexCarray, ldc, &info, batchCount);
+ // CHECK: blasStatus = hipblasCgetriBatched(blasHandle, n, complexAarray_const, lda, &P, complexCarray, ldc, &info, batchCount);
+ blasStatus = cublasCgetriBatched(blasHandle, n, complexAarray_const, lda, &P, complexCarray, ldc, &info, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgetriBatched(cublasHandle_t handle, int n, const cuDoubleComplex* const A[], int lda, const int* P, cuDoubleComplex* const C[], int ldc, int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasZgetriBatched(hipblasHandle_t handle, const int n, hipblasDoubleComplex* const A[], const int lda, int* ipiv, hipblasDoubleComplex* const C[], const int ldc, int* info, const int batchCount);
- // CHECK: blasStatus = hipblasZgetriBatched(blasHandle, n, dcomplexAarray, lda, &P, dcomplexCarray, ldc, &info, batchCount);
- blasStatus = cublasZgetriBatched(blasHandle, n, dcomplexAarray, lda, &P, dcomplexCarray, ldc, &info, batchCount);
+ // CHECK: blasStatus = hipblasZgetriBatched(blasHandle, n, dcomplexAarray_const, lda, &P, dcomplexCarray, ldc, &info, batchCount);
+ blasStatus = cublasZgetriBatched(blasHandle, n, dcomplexAarray_const, lda, &P, dcomplexCarray, ldc, &info, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgetrsBatched(cublasHandle_t handle, cublasOperation_t trans, int n, int nrhs, const float* const Aarray[], int lda, const int* devIpiv, float* const Barray[], int ldb, int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasSgetrsBatched(hipblasHandle_t handle, const hipblasOperation_t trans, const int n, const int nrhs, float* const A[], const int lda, const int* ipiv, float* const B[], const int ldb, int* info, const int batchCount);
- // CHECK: blasStatus = hipblasSgetrsBatched(blasHandle, transa, n, nrhs, fAarray, lda, &P, fBarray, ldb, &info, batchCount);
- blasStatus = cublasSgetrsBatched(blasHandle, transa, n, nrhs, fAarray, lda, &P, fBarray, ldb, &info, batchCount);
+ // CHECK: blasStatus = hipblasSgetrsBatched(blasHandle, transa, n, nrhs, fAarray_const, lda, &P, fBarray, ldb, &info, batchCount);
+ blasStatus = cublasSgetrsBatched(blasHandle, transa, n, nrhs, fAarray_const, lda, &P, fBarray, ldb, &info, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgetrsBatched(cublasHandle_t handle, cublasOperation_t trans, int n, int nrhs, const double* const Aarray[], int lda, const int* devIpiv, double* const Barray[], int ldb, int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasDgetrsBatched(hipblasHandle_t handle, const hipblasOperation_t trans, const int n, const int nrhs, double* const A[], const int lda, const int* ipiv, double* const B[], const int ldb, int* info, const int batchCount);
- // CHECK: blasStatus = hipblasDgetrsBatched(blasHandle, transa, n, nrhs, dAarray, lda, &P, dBarray, ldb, &info, batchCount);
- blasStatus = cublasDgetrsBatched(blasHandle, transa, n, nrhs, dAarray, lda, &P, dBarray, ldb, &info, batchCount);
+ // CHECK: blasStatus = hipblasDgetrsBatched(blasHandle, transa, n, nrhs, dAarray_const, lda, &P, dBarray, ldb, &info, batchCount);
+ blasStatus = cublasDgetrsBatched(blasHandle, transa, n, nrhs, dAarray_const, lda, &P, dBarray, ldb, &info, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgetrsBatched(cublasHandle_t handle, cublasOperation_t trans, int n, int nrhs, const cuComplex* const Aarray[], int lda, const int* devIpiv, cuComplex* const Barray[], int ldb, int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasCgetrsBatched(hipblasHandle_t handle, const hipblasOperation_t trans, const int n, const int nrhs, hipblasComplex* const A[], const int lda, const int* ipiv, hipblasComplex* const B[], const int ldb, int* info, const int batchCount);
- // CHECK: blasStatus = hipblasCgetrsBatched(blasHandle, transa, n, nrhs, complexAarray, lda, &P, complexBarray, ldb, &info, batchCount);
- blasStatus = cublasCgetrsBatched(blasHandle, transa, n, nrhs, complexAarray, lda, &P, complexBarray, ldb, &info, batchCount);
+ // CHECK: blasStatus = hipblasCgetrsBatched(blasHandle, transa, n, nrhs, complexAarray_const, lda, &P, complexBarray, ldb, &info, batchCount);
+ blasStatus = cublasCgetrsBatched(blasHandle, transa, n, nrhs, complexAarray_const, lda, &P, complexBarray, ldb, &info, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgetrsBatched(cublasHandle_t handle, cublasOperation_t trans, int n, int nrhs, const cuDoubleComplex* const Aarray[], int lda, const int* devIpiv, cuDoubleComplex* const Barray[], int ldb, int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasZgetrsBatched(hipblasHandle_t handle, const hipblasOperation_t trans, const int n, const int nrhs, hipblasDoubleComplex* const A[], const int lda, const int* ipiv, hipblasDoubleComplex* const B[], const int ldb, int* info, const int batchCount);
- // CHECK: blasStatus = hipblasZgetrsBatched(blasHandle, transa, n, nrhs, dcomplexAarray, lda, &P, dcomplexBarray, ldb, &info, batchCount);
- blasStatus = cublasZgetrsBatched(blasHandle, transa, n, nrhs, dcomplexAarray, lda, &P, dcomplexBarray, ldb, &info, batchCount);
+ // CHECK: blasStatus = hipblasZgetrsBatched(blasHandle, transa, n, nrhs, dcomplexAarray_const, lda, &P, dcomplexBarray, ldb, &info, batchCount);
+ blasStatus = cublasZgetrsBatched(blasHandle, transa, n, nrhs, dcomplexAarray_const, lda, &P, dcomplexBarray, ldb, &info, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStrsmBatched(cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, cublasOperation_t trans, cublasDiagType_t diag, int m, int n, const float* alpha, const float* const A[], int lda, float* const B[], int ldb, int batchCount);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasStrsmBatched(hipblasHandle_t handle, hipblasSideMode_t side, hipblasFillMode_t uplo, hipblasOperation_t transA, hipblasDiagType_t diag, int m, int n, const float* alpha, float* const AP[], int lda, float* BP[], int ldb, int batchCount);
- // CHECK: blasStatus = hipblasStrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &fa, fAarray, lda, fBarray, ldb, batchCount);
- blasStatus = cublasStrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &fa, fAarray, lda, fBarray, ldb, batchCount);
+ // CHECK: blasStatus = hipblasStrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &fa, fAarray_const, lda, fBarray, ldb, batchCount);
+ blasStatus = cublasStrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &fa, fAarray_const, lda, fBarray, ldb, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtrsmBatched(cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, cublasOperation_t trans, cublasDiagType_t diag, int m, int n, const double* alpha, const double* const A[], int lda, double* const B[], int ldb, int batchCount);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasDtrsmBatched(hipblasHandle_t handle, hipblasSideMode_t side, hipblasFillMode_t uplo, hipblasOperation_t transA, hipblasDiagType_t diag, int m, int n, const double* alpha, double* const AP[], int lda, double* BP[], int ldb, int batchCount);
- // CHECK: blasStatus = hipblasDtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &da, dAarray, lda, dBarray, ldb, batchCount);
- blasStatus = cublasDtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &da, dAarray, lda, dBarray, ldb, batchCount);
+ // CHECK: blasStatus = hipblasDtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &da, dAarray_const, lda, dBarray, ldb, batchCount);
+ blasStatus = cublasDtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &da, dAarray_const, lda, dBarray, ldb, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtrsmBatched(cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, cublasOperation_t trans, cublasDiagType_t diag, int m, int n, const cuComplex* alpha, const cuComplex* const A[], int lda, cuComplex* const B[], int ldb, int batchCount);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasCtrsmBatched(hipblasHandle_t handle, hipblasSideMode_t side, hipblasFillMode_t uplo, hipblasOperation_t transA, hipblasDiagType_t diag, int m, int n, const hipblasComplex* alpha, hipblasComplex* const AP[], int lda, hipblasComplex* BP[], int ldb, int batchCount);
- // CHECK: blasStatus = hipblasCtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &complexa, complexAarray, lda, complexBarray, ldb, batchCount);
- blasStatus = cublasCtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &complexa, complexAarray, lda, complexBarray, ldb, batchCount);
+ // CHECK: blasStatus = hipblasCtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &complexa, complexAarray_const, lda, complexBarray, ldb, batchCount);
+ blasStatus = cublasCtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &complexa, complexAarray_const, lda, complexBarray, ldb, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtrsmBatched(cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, cublasOperation_t trans, cublasDiagType_t diag, int m, int n, const cuDoubleComplex* alpha, const cuDoubleComplex* const A[], int lda, cuDoubleComplex* const B[], int ldb, int batchCount);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasZtrsmBatched(hipblasHandle_t handle, hipblasSideMode_t side, hipblasFillMode_t uplo, hipblasOperation_t transA, hipblasDiagType_t diag, int m, int n, const hipblasDoubleComplex* alpha, hipblasDoubleComplex* const AP[], int lda, hipblasDoubleComplex* BP[], int ldb, int batchCount);
- // CHECK: blasStatus = hipblasZtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &dcomplexa, dcomplexAarray, lda, dcomplexBarray, ldb, batchCount);
- blasStatus = cublasZtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &dcomplexa, dcomplexAarray, lda, dcomplexBarray, ldb, batchCount);
+ // CHECK: blasStatus = hipblasZtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &dcomplexa, dcomplexAarray_const, lda, dcomplexBarray, ldb, batchCount);
+ blasStatus = cublasZtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &dcomplexa, dcomplexAarray_const, lda, dcomplexBarray, ldb, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgeqrfBatched(cublasHandle_t handle, int m, int n, float* const Aarray[], int lda, float* const TauArray[], int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasSgeqrfBatched(hipblasHandle_t handle, const int m, const int n, float* const A[], const int lda, float* const ipiv[], int* info, const int batchCount);
@@ -1528,8 +1542,8 @@ int main() {
#if CUDA_VERSION >= 9010 && CUDA_VERSION < 11000
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGemmBatchedEx(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const void* alpha, const void* const Aarray[], cudaDataType Atype, int lda, const void* const Barray[], cudaDataType Btype, int ldb, const void* beta, void* const Carray[], cudaDataType Ctype, int ldc, int batchCount, cublasComputeType_t computeType, cublasGemmAlgo_t algo);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasGemmBatchedEx(hipblasHandle_t handle, hipblasOperation_t transA, hipblasOperation_t transB, int m, int n, int k, const void* alpha, const void* A[], hipblasDatatype_t aType, int lda, const void* B[], hipblasDatatype_t bType, int ldb, const void* beta, void* C[], hipblasDatatype_t cType, int ldc, int batchCount, hipblasDatatype_t computeType, hipblasGemmAlgo_t algo);
- // CHECK: blasStatus = hipblasGemmBatchedEx(blasHandle, transa, transb, m, n, k, aptr, voidAarray, Atype, lda, voidBarray, Btype, ldb, bptr, voidCarray, Ctype, ldc, batchCount, computeType, blasGemmAlgo);
- blasStatus = cublasGemmBatchedEx(blasHandle, transa, transb, m, n, k, aptr, voidAarray, Atype, lda, voidBarray, Btype, ldb, bptr, voidCarray, Ctype, ldc, batchCount, computeType, blasGemmAlgo);
+ // CHECK: blasStatus = hipblasGemmBatchedEx(blasHandle, transa, transb, m, n, k, aptr, voidAarray_const, Atype, lda, voidBarray_const, Btype, ldb, bptr, voidCarray, Ctype, ldc, batchCount, computeType, blasGemmAlgo);
+ blasStatus = cublasGemmBatchedEx(blasHandle, transa, transb, m, n, k, aptr, voidAarray_const, Atype, lda, voidBarray_const, Btype, ldb, bptr, voidCarray, Ctype, ldc, batchCount, computeType, blasGemmAlgo);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGemmStridedBatchedEx(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const void* alpha, const void* A, cudaDataType Atype, int lda, long long int strideA, const void* B, cudaDataType Btype, int ldb, long long int strideB, const void* beta, void* C, cudaDataType Ctype, int ldc, long long int strideC, int batchCount, cublasComputeType_t computeType, cublasGemmAlgo_t algo);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasGemmStridedBatchedEx(hipblasHandle_t handle, hipblasOperation_t transA, hipblasOperation_t transB, int m, int n, int k, const void* alpha, const void* A, hipblasDatatype_t aType, int lda, hipblasStride strideA, const void* B, hipblasDatatype_t bType, int ldb, hipblasStride strideB, const void* beta, void* C, hipblasDatatype_t cType, int ldc, hipblasStride strideC, int batchCount, hipblasDatatype_t computeType, hipblasGemmAlgo_t algo);
diff --git a/tests/unit_tests/synthetic/libraries/cublas2hipblas_v2.cu b/tests/unit_tests/synthetic/libraries/cublas2hipblas_v2.cu
index dde02d90..21a984d3 100644
--- a/tests/unit_tests/synthetic/libraries/cublas2hipblas_v2.cu
+++ b/tests/unit_tests/synthetic/libraries/cublas2hipblas_v2.cu
@@ -219,7 +219,9 @@ int main() {
float fresult = 0;
float** fAarray = 0;
+ const float** const fAarray_const = const_cast<const float**>(fAarray);
float** fBarray = 0;
+ const float** const fBarray_const = const_cast<const float**>(fBarray);
float** fCarray = 0;
float** fTauarray = 0;
@@ -239,12 +241,16 @@ int main() {
double dresult = 0;
double** dAarray = 0;
+ const double** const dAarray_const = const_cast<const double**>(dAarray);
double** dBarray = 0;
+ const double** const dBarray_const = const_cast<const double**>(dBarray);
double** dCarray = 0;
double** dTauarray = 0;
void** voidAarray = nullptr;
+ const void** const voidAarray_const = const_cast<const void**>(voidAarray);
void** voidBarray = nullptr;
+ const void** const voidBarray_const = const_cast<const void**>(voidBarray);
void** voidCarray = nullptr;
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSnrm2_v2(cublasHandle_t handle, int n, const float* x, int incx, float* result);
@@ -267,20 +273,28 @@ int main() {
cuDoubleComplex dcomplex, dcomplexa, dcomplexA, dcomplexB, dcomplexC, dcomplexx, dcomplexy, dcomplexs, dcomplexb;
// CHECK: hipComplex** complexAarray = 0;
+ // CHECK: const hipComplex** const complexAarray_const = const_cast<const hipComplex**>(complexAarray);
// CHECK-NEXT: hipComplex** complexBarray = 0;
+ // CHECK: const hipComplex** const complexBarray_const = const_cast<const hipComplex**>(complexBarray);
// CHECK-NEXT: hipComplex** complexCarray = 0;
// CHECK-NEXT: hipComplex** complexTauarray = 0;
cuComplex** complexAarray = 0;
+ const cuComplex** const complexAarray_const = const_cast<const cuComplex**>(complexAarray);
cuComplex** complexBarray = 0;
+ const cuComplex** const complexBarray_const = const_cast<const cuComplex**>(complexBarray);
cuComplex** complexCarray = 0;
cuComplex** complexTauarray = 0;
// CHECK: hipDoubleComplex** dcomplexAarray = 0;
+ // CHECK: const hipDoubleComplex** const dcomplexAarray_const = const_cast<const hipDoubleComplex**>(dcomplexAarray);
// CHECK-NEXT: hipDoubleComplex** dcomplexBarray = 0;
+ // CHECK: const hipDoubleComplex** const dcomplexBarray_const = const_cast<const hipDoubleComplex**>(dcomplexBarray);
// CHECK-NEXT: hipDoubleComplex** dcomplexCarray = 0;
// CHECK-NEXT: hipDoubleComplex** dcomplexTauarray = 0;
cuDoubleComplex** dcomplexAarray = 0;
+ const cuDoubleComplex** const dcomplexAarray_const = const_cast<const cuDoubleComplex**>(dcomplexAarray);
cuDoubleComplex** dcomplexBarray = 0;
+ const cuDoubleComplex** const dcomplexBarray_const = const_cast<const cuDoubleComplex**>(dcomplexBarray);
cuDoubleComplex** dcomplexCarray = 0;
cuDoubleComplex** dcomplexTauarray = 0;
@@ -1188,13 +1202,13 @@ int main() {
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const float* alpha, const float* const Aarray[], int lda, const float* const Barray[], int ldb, const float* beta, float* const Carray[], int ldc, int batchCount);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasSgemmBatched(hipblasHandle_t handle, hipblasOperation_t transA, hipblasOperation_t transB, int m, int n, int k, const float* alpha, const float* const AP[], int lda, const float* const BP[], int ldb, const float* beta, float* const CP[], int ldc, int batchCount);
- // CHECK: blasStatus = hipblasSgemmBatched(blasHandle, transa, transb, m, n, k, &fa, fAarray, lda, fBarray, ldb, &fb, fCarray, ldc, batchCount);
- blasStatus = cublasSgemmBatched(blasHandle, transa, transb, m, n, k, &fa, fAarray, lda, fBarray, ldb, &fb, fCarray, ldc, batchCount);
+ // CHECK: blasStatus = hipblasSgemmBatched(blasHandle, transa, transb, m, n, k, &fa, fAarray_const, lda, fBarray_const, ldb, &fb, fCarray, ldc, batchCount);
+ blasStatus = cublasSgemmBatched(blasHandle, transa, transb, m, n, k, &fa, fAarray_const, lda, fBarray_const, ldb, &fb, fCarray, ldc, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const double* alpha, const double* const Aarray[], int lda, const double* const Barray[], int ldb, const double* beta, double* const Carray[], int ldc, int batchCount);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasDgemmBatched(hipblasHandle_t handle, hipblasOperation_t transA, hipblasOperation_t transB, int m, int n, int k, const double* alpha, const double* const AP[], int lda, const double* const BP[], int ldb, const double* beta, double* const CP[], int ldc, int batchCount);
- // CHECK: blasStatus = hipblasDgemmBatched(blasHandle, transa, transb, m, n, k, &da, dAarray, lda, dBarray, ldb, &db, dCarray, ldc, batchCount);
- blasStatus = cublasDgemmBatched(blasHandle, transa, transb, m, n, k, &da, dAarray, lda, dBarray, ldb, &db, dCarray, ldc, batchCount);
+ // CHECK: blasStatus = hipblasDgemmBatched(blasHandle, transa, transb, m, n, k, &da, dAarray_const, lda, dBarray_const, ldb, &db, dCarray, ldc, batchCount);
+ blasStatus = cublasDgemmBatched(blasHandle, transa, transb, m, n, k, &da, dAarray_const, lda, dBarray_const, ldb, &db, dCarray, ldc, batchCount);
// TODO: __half -> hipblasHalf
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasHgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const __half* alpha, const __half* const Aarray[], int lda, const __half* const Barray[], int ldb, const __half* beta, __half* const Carray[], int ldc, int batchCount);
@@ -1202,13 +1216,13 @@ int main() {
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const cuComplex* alpha, const cuComplex* const Aarray[], int lda, const cuComplex* const Barray[], int ldb, const cuComplex* beta, cuComplex* const Carray[], int ldc, int batchCount);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasCgemmBatched(hipblasHandle_t handle, hipblasOperation_t transA, hipblasOperation_t transB, int m, int n, int k, const hipblasComplex* alpha, const hipblasComplex* const AP[], int lda, const hipblasComplex* const BP[], int ldb, const hipblasComplex* beta, hipblasComplex* const CP[], int ldc, int batchCount);
- // CHECK: blasStatus = hipblasCgemmBatched(blasHandle, transa, transb, m, n, k, &complexa, complexAarray, lda, complexBarray, ldb, &complexb, complexCarray, ldc, batchCount);
- blasStatus = cublasCgemmBatched(blasHandle, transa, transb, m, n, k, &complexa, complexAarray, lda, complexBarray, ldb, &complexb, complexCarray, ldc, batchCount);
+ // CHECK: blasStatus = hipblasCgemmBatched(blasHandle, transa, transb, m, n, k, &complexa, complexAarray_const, lda, complexBarray_const, ldb, &complexb, complexCarray, ldc, batchCount);
+ blasStatus = cublasCgemmBatched(blasHandle, transa, transb, m, n, k, &complexa, complexAarray_const, lda, complexBarray_const, ldb, &complexb, complexCarray, ldc, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const cuDoubleComplex* alpha, const cuDoubleComplex* const Aarray[], int lda, const cuDoubleComplex* const Barray[], int ldb, const cuDoubleComplex* beta, cuDoubleComplex* const Carray[], int ldc, int batchCount);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasZgemmBatched(hipblasHandle_t handle, hipblasOperation_t transA, hipblasOperation_t transB, int m, int n, int k, const hipblasDoubleComplex* alpha, const hipblasDoubleComplex* const AP[], int lda, const hipblasDoubleComplex* const BP[], int ldb, const hipblasDoubleComplex* beta, hipblasDoubleComplex* const CP[], int ldc, int batchCount);
- // CHECK: blasStatus = hipblasZgemmBatched(blasHandle, transa, transb, m, n, k, &dcomplexa, dcomplexAarray, lda, dcomplexBarray, ldb, &dcomplexb, dcomplexCarray, ldc, batchCount);
- blasStatus = cublasZgemmBatched(blasHandle, transa, transb, m, n, k, &dcomplexa, dcomplexAarray, lda, dcomplexBarray, ldb, &dcomplexb, dcomplexCarray, ldc, batchCount);
+ // CHECK: blasStatus = hipblasZgemmBatched(blasHandle, transa, transb, m, n, k, &dcomplexa, dcomplexAarray_const, lda, dcomplexBarray_const, ldb, &dcomplexb, dcomplexCarray, ldc, batchCount);
+ blasStatus = cublasZgemmBatched(blasHandle, transa, transb, m, n, k, &dcomplexa, dcomplexAarray_const, lda, dcomplexBarray_const, ldb, &dcomplexb, dcomplexCarray, ldc, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsyrk_v2(cublasHandle_t handle, cublasFillMode_t uplo, cublasOperation_t trans, int n, int k, const float* alpha, const float* A, int lda, const float* beta, float* C, int ldc);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasSsyrk(hipblasHandle_t handle, hipblasFillMode_t uplo, hipblasOperation_t transA, int n, int k, const float* alpha, const float* AP, int lda, const float* beta, float* CP, int ldc);
@@ -1436,63 +1450,63 @@ int main() {
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgetriBatched(cublasHandle_t handle, int n, const float* const A[], int lda, const int* P, float* const C[], int ldc, int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasSgetriBatched(hipblasHandle_t handle, const int n, float* const A[], const int lda, int* ipiv, float* const C[], const int ldc, int* info, const int batchCount);
- // CHECK: blasStatus = hipblasSgetriBatched(blasHandle, n, fAarray, lda, &P, fCarray, ldc, &info, batchCount);
- blasStatus = cublasSgetriBatched(blasHandle, n, fAarray, lda, &P, fCarray, ldc, &info, batchCount);
+ // CHECK: blasStatus = hipblasSgetriBatched(blasHandle, n, fAarray_const, lda, &P, fCarray, ldc, &info, batchCount);
+ blasStatus = cublasSgetriBatched(blasHandle, n, fAarray_const, lda, &P, fCarray, ldc, &info, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgetriBatched(cublasHandle_t handle, int n, const double* const A[], int lda, const int* P, double* const C[], int ldc, int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasDgetriBatched(hipblasHandle_t handle, const int n, double* const A[], const int lda, int* ipiv, double* const C[], const int ldc, int* info, const int batchCount);
- // CHECK: blasStatus = hipblasDgetriBatched(blasHandle, n, dAarray, lda, &P, dCarray, ldc, &info, batchCount);
- blasStatus = cublasDgetriBatched(blasHandle, n, dAarray, lda, &P, dCarray, ldc, &info, batchCount);
+ // CHECK: blasStatus = hipblasDgetriBatched(blasHandle, n, dAarray_const, lda, &P, dCarray, ldc, &info, batchCount);
+ blasStatus = cublasDgetriBatched(blasHandle, n, dAarray_const, lda, &P, dCarray, ldc, &info, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgetriBatched(cublasHandle_t handle, int n, const cuComplex* const A[], int lda, const int* P, cuComplex* const C[], int ldc, int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasCgetriBatched(hipblasHandle_t handle, const int n, hipblasComplex* const A[], const int lda, int* ipiv, hipblasComplex* const C[], const int ldc, int* info, const int batchCount);
- // CHECK: blasStatus = hipblasCgetriBatched(blasHandle, n, complexAarray, lda, &P, complexCarray, ldc, &info, batchCount);
- blasStatus = cublasCgetriBatched(blasHandle, n, complexAarray, lda, &P, complexCarray, ldc, &info, batchCount);
+ // CHECK: blasStatus = hipblasCgetriBatched(blasHandle, n, complexAarray_const, lda, &P, complexCarray, ldc, &info, batchCount);
+ blasStatus = cublasCgetriBatched(blasHandle, n, complexAarray_const, lda, &P, complexCarray, ldc, &info, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgetriBatched(cublasHandle_t handle, int n, const cuDoubleComplex* const A[], int lda, const int* P, cuDoubleComplex* const C[], int ldc, int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasZgetriBatched(hipblasHandle_t handle, const int n, hipblasDoubleComplex* const A[], const int lda, int* ipiv, hipblasDoubleComplex* const C[], const int ldc, int* info, const int batchCount);
- // CHECK: blasStatus = hipblasZgetriBatched(blasHandle, n, dcomplexAarray, lda, &P, dcomplexCarray, ldc, &info, batchCount);
- blasStatus = cublasZgetriBatched(blasHandle, n, dcomplexAarray, lda, &P, dcomplexCarray, ldc, &info, batchCount);
+ // CHECK: blasStatus = hipblasZgetriBatched(blasHandle, n, dcomplexAarray_const, lda, &P, dcomplexCarray, ldc, &info, batchCount);
+ blasStatus = cublasZgetriBatched(blasHandle, n, dcomplexAarray_const, lda, &P, dcomplexCarray, ldc, &info, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgetrsBatched(cublasHandle_t handle, cublasOperation_t trans, int n, int nrhs, const float* const Aarray[], int lda, const int* devIpiv, float* const Barray[], int ldb, int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasSgetrsBatched(hipblasHandle_t handle, const hipblasOperation_t trans, const int n, const int nrhs, float* const A[], const int lda, const int* ipiv, float* const B[], const int ldb, int* info, const int batchCount);
- // CHECK: blasStatus = hipblasSgetrsBatched(blasHandle, transa, n, nrhs, fAarray, lda, &P, fBarray, ldb, &info, batchCount);
- blasStatus = cublasSgetrsBatched(blasHandle, transa, n, nrhs, fAarray, lda, &P, fBarray, ldb, &info, batchCount);
+ // CHECK: blasStatus = hipblasSgetrsBatched(blasHandle, transa, n, nrhs, fAarray_const, lda, &P, fBarray, ldb, &info, batchCount);
+ blasStatus = cublasSgetrsBatched(blasHandle, transa, n, nrhs, fAarray_const, lda, &P, fBarray, ldb, &info, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgetrsBatched(cublasHandle_t handle, cublasOperation_t trans, int n, int nrhs, const double* const Aarray[], int lda, const int* devIpiv, double* const Barray[], int ldb, int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasDgetrsBatched(hipblasHandle_t handle, const hipblasOperation_t trans, const int n, const int nrhs, double* const A[], const int lda, const int* ipiv, double* const B[], const int ldb, int* info, const int batchCount);
- // CHECK: blasStatus = hipblasDgetrsBatched(blasHandle, transa, n, nrhs, dAarray, lda, &P, dBarray, ldb, &info, batchCount);
- blasStatus = cublasDgetrsBatched(blasHandle, transa, n, nrhs, dAarray, lda, &P, dBarray, ldb, &info, batchCount);
+ // CHECK: blasStatus = hipblasDgetrsBatched(blasHandle, transa, n, nrhs, dAarray_const, lda, &P, dBarray, ldb, &info, batchCount);
+ blasStatus = cublasDgetrsBatched(blasHandle, transa, n, nrhs, dAarray_const, lda, &P, dBarray, ldb, &info, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgetrsBatched(cublasHandle_t handle, cublasOperation_t trans, int n, int nrhs, const cuComplex* const Aarray[], int lda, const int* devIpiv, cuComplex* const Barray[], int ldb, int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasCgetrsBatched(hipblasHandle_t handle, const hipblasOperation_t trans, const int n, const int nrhs, hipblasComplex* const A[], const int lda, const int* ipiv, hipblasComplex* const B[], const int ldb, int* info, const int batchCount);
- // CHECK: blasStatus = hipblasCgetrsBatched(blasHandle, transa, n, nrhs, complexAarray, lda, &P, complexBarray, ldb, &info, batchCount);
- blasStatus = cublasCgetrsBatched(blasHandle, transa, n, nrhs, complexAarray, lda, &P, complexBarray, ldb, &info, batchCount);
+ // CHECK: blasStatus = hipblasCgetrsBatched(blasHandle, transa, n, nrhs, complexAarray_const, lda, &P, complexBarray, ldb, &info, batchCount);
+ blasStatus = cublasCgetrsBatched(blasHandle, transa, n, nrhs, complexAarray_const, lda, &P, complexBarray, ldb, &info, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgetrsBatched(cublasHandle_t handle, cublasOperation_t trans, int n, int nrhs, const cuDoubleComplex* const Aarray[], int lda, const int* devIpiv, cuDoubleComplex* const Barray[], int ldb, int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasZgetrsBatched(hipblasHandle_t handle, const hipblasOperation_t trans, const int n, const int nrhs, hipblasDoubleComplex* const A[], const int lda, const int* ipiv, hipblasDoubleComplex* const B[], const int ldb, int* info, const int batchCount);
- // CHECK: blasStatus = hipblasZgetrsBatched(blasHandle, transa, n, nrhs, dcomplexAarray, lda, &P, dcomplexBarray, ldb, &info, batchCount);
- blasStatus = cublasZgetrsBatched(blasHandle, transa, n, nrhs, dcomplexAarray, lda, &P, dcomplexBarray, ldb, &info, batchCount);
+ // CHECK: blasStatus = hipblasZgetrsBatched(blasHandle, transa, n, nrhs, dcomplexAarray_const, lda, &P, dcomplexBarray, ldb, &info, batchCount);
+ blasStatus = cublasZgetrsBatched(blasHandle, transa, n, nrhs, dcomplexAarray_const, lda, &P, dcomplexBarray, ldb, &info, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStrsmBatched(cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, cublasOperation_t trans, cublasDiagType_t diag, int m, int n, const float* alpha, const float* const A[], int lda, float* const B[], int ldb, int batchCount);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasStrsmBatched(hipblasHandle_t handle, hipblasSideMode_t side, hipblasFillMode_t uplo, hipblasOperation_t transA, hipblasDiagType_t diag, int m, int n, const float* alpha, float* const AP[], int lda, float* BP[], int ldb, int batchCount);
- // CHECK: blasStatus = hipblasStrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &fa, fAarray, lda, fBarray, ldb, batchCount);
- blasStatus = cublasStrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &fa, fAarray, lda, fBarray, ldb, batchCount);
+ // CHECK: blasStatus = hipblasStrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &fa, fAarray_const, lda, fBarray, ldb, batchCount);
+ blasStatus = cublasStrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &fa, fAarray_const, lda, fBarray, ldb, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtrsmBatched(cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, cublasOperation_t trans, cublasDiagType_t diag, int m, int n, const double* alpha, const double* const A[], int lda, double* const B[], int ldb, int batchCount);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasDtrsmBatched(hipblasHandle_t handle, hipblasSideMode_t side, hipblasFillMode_t uplo, hipblasOperation_t transA, hipblasDiagType_t diag, int m, int n, const double* alpha, double* const AP[], int lda, double* BP[], int ldb, int batchCount);
- // CHECK: blasStatus = hipblasDtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &da, dAarray, lda, dBarray, ldb, batchCount);
- blasStatus = cublasDtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &da, dAarray, lda, dBarray, ldb, batchCount);
+ // CHECK: blasStatus = hipblasDtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &da, dAarray_const, lda, dBarray, ldb, batchCount);
+ blasStatus = cublasDtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &da, dAarray_const, lda, dBarray, ldb, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtrsmBatched(cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, cublasOperation_t trans, cublasDiagType_t diag, int m, int n, const cuComplex* alpha, const cuComplex* const A[], int lda, cuComplex* const B[], int ldb, int batchCount);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasCtrsmBatched(hipblasHandle_t handle, hipblasSideMode_t side, hipblasFillMode_t uplo, hipblasOperation_t transA, hipblasDiagType_t diag, int m, int n, const hipblasComplex* alpha, hipblasComplex* const AP[], int lda, hipblasComplex* BP[], int ldb, int batchCount);
- // CHECK: blasStatus = hipblasCtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &complexa, complexAarray, lda, complexBarray, ldb, batchCount);
- blasStatus = cublasCtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &complexa, complexAarray, lda, complexBarray, ldb, batchCount);
+ // CHECK: blasStatus = hipblasCtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &complexa, complexAarray_const, lda, complexBarray, ldb, batchCount);
+ blasStatus = cublasCtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &complexa, complexAarray_const, lda, complexBarray, ldb, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtrsmBatched(cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, cublasOperation_t trans, cublasDiagType_t diag, int m, int n, const cuDoubleComplex* alpha, const cuDoubleComplex* const A[], int lda, cuDoubleComplex* const B[], int ldb, int batchCount);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasZtrsmBatched(hipblasHandle_t handle, hipblasSideMode_t side, hipblasFillMode_t uplo, hipblasOperation_t transA, hipblasDiagType_t diag, int m, int n, const hipblasDoubleComplex* alpha, hipblasDoubleComplex* const AP[], int lda, hipblasDoubleComplex* BP[], int ldb, int batchCount);
- // CHECK: blasStatus = hipblasZtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &dcomplexa, dcomplexAarray, lda, dcomplexBarray, ldb, batchCount);
- blasStatus = cublasZtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &dcomplexa, dcomplexAarray, lda, dcomplexBarray, ldb, batchCount);
+ // CHECK: blasStatus = hipblasZtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &dcomplexa, dcomplexAarray_const, lda, dcomplexBarray, ldb, batchCount);
+ blasStatus = cublasZtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &dcomplexa, dcomplexAarray_const, lda, dcomplexBarray, ldb, batchCount);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgeqrfBatched(cublasHandle_t handle, int m, int n, float* const Aarray[], int lda, float* const TauArray[], int* info, int batchSize);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasSgeqrfBatched(hipblasHandle_t handle, const int m, const int n, float* const A[], const int lda, float* const ipiv[], int* info, const int batchCount);
@@ -1697,8 +1711,8 @@ int main() {
#if CUDA_VERSION >= 9010 && CUDA_VERSION < 11000
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGemmBatchedEx(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const void* alpha, const void* const Aarray[], cudaDataType Atype, int lda, const void* const Barray[], cudaDataType Btype, int ldb, const void* beta, void* const Carray[], cudaDataType Ctype, int ldc, int batchCount, cublasComputeType_t computeType, cublasGemmAlgo_t algo);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasGemmBatchedEx(hipblasHandle_t handle, hipblasOperation_t transA, hipblasOperation_t transB, int m, int n, int k, const void* alpha, const void* A[], hipblasDatatype_t aType, int lda, const void* B[], hipblasDatatype_t bType, int ldb, const void* beta, void* C[], hipblasDatatype_t cType, int ldc, int batchCount, hipblasDatatype_t computeType, hipblasGemmAlgo_t algo);
- // CHECK: blasStatus = hipblasGemmBatchedEx(blasHandle, transa, transb, m, n, k, aptr, voidAarray, Atype, lda, voidBarray, Btype, ldb, bptr, voidCarray, Ctype, ldc, batchCount, computeType, blasGemmAlgo);
- blasStatus = cublasGemmBatchedEx(blasHandle, transa, transb, m, n, k, aptr, voidAarray, Atype, lda, voidBarray, Btype, ldb, bptr, voidCarray, Ctype, ldc, batchCount, computeType, blasGemmAlgo);
+ // CHECK: blasStatus = hipblasGemmBatchedEx(blasHandle, transa, transb, m, n, k, aptr, voidAarray_const, Atype, lda, voidBarray_const, Btype, ldb, bptr, voidCarray, Ctype, ldc, batchCount, computeType, blasGemmAlgo);
+ blasStatus = cublasGemmBatchedEx(blasHandle, transa, transb, m, n, k, aptr, voidAarray_const, Atype, lda, voidBarray_const, Btype, ldb, bptr, voidCarray, Ctype, ldc, batchCount, computeType, blasGemmAlgo);
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGemmStridedBatchedEx(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const void* alpha, const void* A, cudaDataType Atype, int lda, long long int strideA, const void* B, cudaDataType Btype, int ldb, long long int strideB, const void* beta, void* C, cudaDataType Ctype, int ldc, long long int strideC, int batchCount, cublasComputeType_t computeType, cublasGemmAlgo_t algo);
// HIP: HIPBLAS_EXPORT hipblasStatus_t hipblasGemmStridedBatchedEx(hipblasHandle_t handle, hipblasOperation_t transA, hipblasOperation_t transB, int m, int n, int k, const void* alpha, const void* A, hipblasDatatype_t aType, int lda, hipblasStride strideA, const void* B, hipblasDatatype_t bType, int ldb, hipblasStride strideB, const void* beta, void* C, hipblasDatatype_t cType, int ldc, hipblasStride strideC, int batchCount, hipblasDatatype_t computeType, hipblasGemmAlgo_t algo);
diff --git a/tests/unit_tests/synthetic/libraries/cublas2rocblas.cu b/tests/unit_tests/synthetic/libraries/cublas2rocblas.cu
index 7a73c9b2..7589371d 100644
--- a/tests/unit_tests/synthetic/libraries/cublas2rocblas.cu
+++ b/tests/unit_tests/synthetic/libraries/cublas2rocblas.cu
@@ -235,7 +235,9 @@ int main() {
float fresult = 0;
float** fAarray = 0;
+ const float** const fAarray_const = const_cast<const float**>(fAarray);
float** fBarray = 0;
+ const float** const fBarray_const = const_cast<const float**>(fBarray);
float** fCarray = 0;
float** fTauarray = 0;
@@ -255,12 +257,16 @@ int main() {
double dresult = 0;
double** dAarray = 0;
+ const double** const dAarray_const = const_cast<const double**>(dAarray);
double** dBarray = 0;
+ const double** const dBarray_const = const_cast<const double**>(dBarray);
double** dCarray = 0;
double** dTauarray = 0;
void** voidAarray = nullptr;
+ const void** const voidAarray_const = const_cast<const void**>(voidAarray);
void** voidBarray = nullptr;
+ const void** const voidBarray_const = const_cast<const void**>(voidBarray);
void** voidCarray = nullptr;
// TODO: #1281
@@ -283,20 +289,28 @@ int main() {
cuDoubleComplex dcomplex, dcomplexa, dcomplexA, dcomplexB, dcomplexC, dcomplexx, dcomplexy, dcomplexs, dcomplexb;
// CHECK: rocblas_float_complex** complexAarray = 0;
+ // CHECK: const rocblas_float_complex** const complexAarray_const = const_cast<const rocblas_float_complex**>(complexAarray);
// CHECK-NEXT: rocblas_float_complex** complexBarray = 0;
+ // CHECK: const rocblas_float_complex** const complexBarray_const = const_cast<const rocblas_float_complex**>(complexBarray);
// CHECK-NEXT: rocblas_float_complex** complexCarray = 0;
// CHECK-NEXT: rocblas_float_complex** complexTauarray = 0;
cuComplex** complexAarray = 0;
+ const cuComplex** const complexAarray_const = const_cast<const cuComplex**>(complexAarray);
cuComplex** complexBarray = 0;
+ const cuComplex** const complexBarray_const = const_cast<const cuComplex**>(complexBarray);
cuComplex** complexCarray = 0;
cuComplex** complexTauarray = 0;
// CHECK: rocblas_double_complex** dcomplexAarray = 0;
+ // CHECK: const rocblas_double_complex** const dcomplexAarray_const = const_cast<const rocblas_double_complex**>(dcomplexAarray);
// CHECK-NEXT: rocblas_double_complex** dcomplexBarray = 0;
+ // CHECK: const rocblas_double_complex** const dcomplexBarray_const = const_cast<const rocblas_double_complex**>(dcomplexBarray);
// CHECK-NEXT: rocblas_double_complex** dcomplexCarray = 0;
// CHECK-NEXT: rocblas_double_complex** dcomplexTauarray = 0;
cuDoubleComplex** dcomplexAarray = 0;
+ const cuDoubleComplex** const dcomplexAarray_const = const_cast<const cuDoubleComplex**>(dcomplexAarray);
cuDoubleComplex** dcomplexBarray = 0;
+ const cuDoubleComplex** const dcomplexBarray_const = const_cast<const cuDoubleComplex**>(dcomplexBarray);
cuDoubleComplex** dcomplexCarray = 0;
cuDoubleComplex** dcomplexTauarray = 0;
@@ -1194,14 +1208,14 @@ int main() {
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const float* alpha, const float* const Aarray[], int lda, const float* const Barray[], int ldb, const float* beta, float* const Carray[], int ldc, int batchCount);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_sgemm_batched(rocblas_handle handle, rocblas_operation transA, rocblas_operation transB, rocblas_int m, rocblas_int n, rocblas_int k, const float* alpha, const float* const A[], rocblas_int lda, const float* const B[], rocblas_int ldb, const float* beta, float* const C[], rocblas_int ldc, rocblas_int batch_count);
- // CHECK: blasStatus = rocblas_sgemm_batched(blasHandle, transa, transb, m, n, k, &fa, fAarray, lda, fBarray, ldb, &fb, fCarray, ldc, batchCount);
- blasStatus = cublasSgemmBatched(blasHandle, transa, transb, m, n, k, &fa, fAarray, lda, fBarray, ldb, &fb, fCarray, ldc, batchCount);
+ // CHECK: blasStatus = rocblas_sgemm_batched(blasHandle, transa, transb, m, n, k, &fa, fAarray_const, lda, fBarray_const, ldb, &fb, fCarray, ldc, batchCount);
+ blasStatus = cublasSgemmBatched(blasHandle, transa, transb, m, n, k, &fa, fAarray_const, lda, fBarray_const, ldb, &fb, fCarray, ldc, batchCount);
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const double* alpha, const double* const Aarray[], int lda, const double* const Barray[], int ldb, const double* beta, double* const Carray[], int ldc, int batchCount);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_dgemm_batched(rocblas_handle handle, rocblas_operation transA, rocblas_operation transB, rocblas_int m, rocblas_int n, rocblas_int k, const double* alpha, const double* const A[], rocblas_int lda, const double* const B[], rocblas_int ldb, const double* beta, double* const C[], rocblas_int ldc, rocblas_int batch_count);
- // CHECK: blasStatus = rocblas_dgemm_batched(blasHandle, transa, transb, m, n, k, &da, dAarray, lda, dBarray, ldb, &db, dCarray, ldc, batchCount);
- blasStatus = cublasDgemmBatched(blasHandle, transa, transb, m, n, k, &da, dAarray, lda, dBarray, ldb, &db, dCarray, ldc, batchCount);
+ // CHECK: blasStatus = rocblas_dgemm_batched(blasHandle, transa, transb, m, n, k, &da, dAarray_const, lda, dBarray_const, ldb, &db, dCarray, ldc, batchCount);
+ blasStatus = cublasDgemmBatched(blasHandle, transa, transb, m, n, k, &da, dAarray_const, lda, dBarray_const, ldb, &db, dCarray, ldc, batchCount);
// TODO: #1281
// TODO: __half -> rocblas_half
@@ -1211,14 +1225,14 @@ int main() {
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const cuComplex* alpha, const cuComplex* const Aarray[], int lda, const cuComplex* const Barray[], int ldb, const cuComplex* beta, cuComplex* const Carray[], int ldc, int batchCount);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_cgemm_batched(rocblas_handle handle, rocblas_operation transA, rocblas_operation transB, rocblas_int m, rocblas_int n, rocblas_int k, const rocblas_float_complex* alpha, const rocblas_float_complex* const A[], rocblas_int lda, const rocblas_float_complex* const B[], rocblas_int ldb, const rocblas_float_complex* beta, rocblas_float_complex* const C[], rocblas_int ldc, rocblas_int batch_count);
- // CHECK: blasStatus = rocblas_cgemm_batched(blasHandle, transa, transb, m, n, k, &complexa, complexAarray, lda, complexBarray, ldb, &complexb, complexCarray, ldc, batchCount);
- blasStatus = cublasCgemmBatched(blasHandle, transa, transb, m, n, k, &complexa, complexAarray, lda, complexBarray, ldb, &complexb, complexCarray, ldc, batchCount);
+ // CHECK: blasStatus = rocblas_cgemm_batched(blasHandle, transa, transb, m, n, k, &complexa, complexAarray_const, lda, complexBarray_const, ldb, &complexb, complexCarray, ldc, batchCount);
+ blasStatus = cublasCgemmBatched(blasHandle, transa, transb, m, n, k, &complexa, complexAarray_const, lda, complexBarray_const, ldb, &complexb, complexCarray, ldc, batchCount);
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const cuDoubleComplex* alpha, const cuDoubleComplex* const Aarray[], int lda, const cuDoubleComplex* const Barray[], int ldb, const cuDoubleComplex* beta, cuDoubleComplex* const Carray[], int ldc, int batchCount);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_zgemm_batched(rocblas_handle handle, rocblas_operation transA, rocblas_operation transB, rocblas_int m, rocblas_int n, rocblas_int k, const rocblas_double_complex* alpha, const rocblas_double_complex* const A[], rocblas_int lda, const rocblas_double_complex* const B[], rocblas_int ldb, const rocblas_double_complex* beta, rocblas_double_complex* const C[], rocblas_int ldc, rocblas_int batch_count);
- // CHECK: blasStatus = rocblas_zgemm_batched(blasHandle, transa, transb, m, n, k, &dcomplexa, dcomplexAarray, lda, dcomplexBarray, ldb, &dcomplexb, dcomplexCarray, ldc, batchCount);
- blasStatus = cublasZgemmBatched(blasHandle, transa, transb, m, n, k, &dcomplexa, dcomplexAarray, lda, dcomplexBarray, ldb, &dcomplexb, dcomplexCarray, ldc, batchCount);
+ // CHECK: blasStatus = rocblas_zgemm_batched(blasHandle, transa, transb, m, n, k, &dcomplexa, dcomplexAarray_const, lda, dcomplexBarray_const, ldb, &dcomplexb, dcomplexCarray, ldc, batchCount);
+ blasStatus = cublasZgemmBatched(blasHandle, transa, transb, m, n, k, &dcomplexa, dcomplexAarray_const, lda, dcomplexBarray_const, ldb, &dcomplexb, dcomplexCarray, ldc, batchCount);
// TODO: #1281
// NOTE: void CUBLASWINAPI cublasSsyrk(char uplo, char trans, int n, int k, float alpha, const float* A, int lda, float beta, float* C, int ldc); is not supported by HIP
@@ -1465,26 +1479,26 @@ int main() {
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStrsmBatched(cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, cublasOperation_t trans, cublasDiagType_t diag, int m, int n, const float* alpha, const float* const A[], int lda, float* const B[], int ldb, int batchCount);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_strsm_batched(rocblas_handle handle, rocblas_side side, rocblas_fill uplo, rocblas_operation transA, rocblas_diagonal diag, rocblas_int m, rocblas_int n, const float* alpha, const float* const A[], rocblas_int lda, float* const B[], rocblas_int ldb, rocblas_int batch_count);
- // CHECK: blasStatus = rocblas_strsm_batched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &fa, fAarray, lda, fBarray, ldb, batchCount);
- blasStatus = cublasStrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &fa, fAarray, lda, fBarray, ldb, batchCount);
+ // CHECK: blasStatus = rocblas_strsm_batched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &fa, fAarray_const, lda, fBarray, ldb, batchCount);
+ blasStatus = cublasStrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &fa, fAarray_const, lda, fBarray, ldb, batchCount);
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtrsmBatched(cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, cublasOperation_t trans, cublasDiagType_t diag, int m, int n, const double* alpha, const double* const A[], int lda, double* const B[], int ldb, int batchCount);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_dtrsm_batched(rocblas_handle handle, rocblas_side side, rocblas_fill uplo, rocblas_operation transA, rocblas_diagonal diag, rocblas_int m, rocblas_int n, const double* alpha, const double* const A[], rocblas_int lda, double* const B[], rocblas_int ldb, rocblas_int batch_count);
- // CHECK: blasStatus = rocblas_dtrsm_batched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &da, dAarray, lda, dBarray, ldb, batchCount);
- blasStatus = cublasDtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &da, dAarray, lda, dBarray, ldb, batchCount);
+ // CHECK: blasStatus = rocblas_dtrsm_batched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &da, dAarray_const, lda, dBarray, ldb, batchCount);
+ blasStatus = cublasDtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &da, dAarray_const, lda, dBarray, ldb, batchCount);
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtrsmBatched(cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, cublasOperation_t trans, cublasDiagType_t diag, int m, int n, const cuComplex* alpha, const cuComplex* const A[], int lda, cuComplex* const B[], int ldb, int batchCount);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_ctrsm_batched(rocblas_handle handle, rocblas_side side, rocblas_fill uplo, rocblas_operation transA, rocblas_diagonal diag, rocblas_int m, rocblas_int n, const rocblas_float_complex* alpha, const rocblas_float_complex* const A[], rocblas_int lda, rocblas_float_complex* const B[], rocblas_int ldb, rocblas_int batch_count);
- // CHECK: blasStatus = rocblas_ctrsm_batched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &complexa, complexAarray, lda, complexBarray, ldb, batchCount);
- blasStatus = cublasCtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &complexa, complexAarray, lda, complexBarray, ldb, batchCount);
+ // CHECK: blasStatus = rocblas_ctrsm_batched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &complexa, complexAarray_const, lda, complexBarray, ldb, batchCount);
+ blasStatus = cublasCtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &complexa, complexAarray_const, lda, complexBarray, ldb, batchCount);
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtrsmBatched(cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, cublasOperation_t trans, cublasDiagType_t diag, int m, int n, const cuDoubleComplex* alpha, const cuDoubleComplex* const A[], int lda, cuDoubleComplex* const B[], int ldb, int batchCount);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_ztrsm_batched(rocblas_handle handle, rocblas_side side, rocblas_fill uplo, rocblas_operation transA, rocblas_diagonal diag, rocblas_int m, rocblas_int n, const rocblas_double_complex* alpha, const rocblas_double_complex* const A[], rocblas_int lda, rocblas_double_complex* const B[], rocblas_int ldb, rocblas_int batch_count);
- // CHECK: blasStatus = rocblas_ztrsm_batched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &dcomplexa, dcomplexAarray, lda, dcomplexBarray, ldb, batchCount);
- blasStatus = cublasZtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &dcomplexa, dcomplexAarray, lda, dcomplexBarray, ldb, batchCount);
+ // CHECK: blasStatus = rocblas_ztrsm_batched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &dcomplexa, dcomplexAarray_const, lda, dcomplexBarray, ldb, batchCount);
+ blasStatus = cublasZtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &dcomplexa, dcomplexAarray_const, lda, dcomplexBarray, ldb, batchCount);
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSdgmm(cublasHandle_t handle, cublasSideMode_t mode, int m, int n, const float* A, int lda, const float* x, int incx, float* C, int ldc);
@@ -1651,14 +1665,31 @@ int main() {
#if CUDA_VERSION >= 9000
// CHECK: rocblas_gemm_algo BLAS_GEMM_DEFAULT = rocblas_gemm_algo_standard;
cublasGemmAlgo_t BLAS_GEMM_DEFAULT = CUBLAS_GEMM_DEFAULT;
+
+ // CHECK: rocblas_math_mode blasMath;
+ // CHECK-NEXT: rocblas_math_mode BLAS_DEFAULT_MATH = rocblas_default_math;
+ // CHECK-NEXT: rocblas_math_mode BLAS_TF32_TENSOR_OP_MATH = rocblas_xf32_xdl_math_op;
+ cublasMath_t blasMath;
+ cublasMath_t BLAS_DEFAULT_MATH = CUBLAS_DEFAULT_MATH;
+ cublasMath_t BLAS_TF32_TENSOR_OP_MATH = CUBLAS_TF32_TENSOR_OP_MATH;
+
+ // CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGetMathMode(cublasHandle_t handle, cublasMath_t* mode);
+ // ROC: ROCBLAS_EXPORT rocblas_status rocblas_get_math_mode(rocblas_handle handle, rocblas_math_mode* math_mode);
+ // CHECK: blasStatus = rocblas_get_math_mode(blasHandle, &blasMath);
+ blasStatus = cublasGetMathMode(blasHandle, &blasMath);
+
+ // CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSetMathMode(cublasHandle_t handle, cublasMath_t mode);
+ // ROC: ROCBLAS_EXPORT rocblas_status rocblas_set_math_mode(rocblas_handle handle, rocblas_math_mode math_mode);
+ // CHECK: blasStatus = rocblas_set_math_mode(blasHandle, blasMath);
+ blasStatus = cublasSetMathMode(blasHandle, blasMath);
#endif
#if CUDA_VERSION >= 9010 && CUDA_VERSION < 11000
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGemmBatchedEx(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const void* alpha, const void* const Aarray[], cudaDataType Atype, int lda, const void* const Barray[], cudaDataType Btype, int ldb, const void* beta, void* const Carray[], cudaDataType Ctype, int ldc, int batchCount, cublasComputeType_t computeType, cublasGemmAlgo_t algo);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_gemm_batched_ex(rocblas_handle handle, rocblas_operation transA, rocblas_operation transB, rocblas_int m, rocblas_int n, rocblas_int k, const void* alpha, const void* a, rocblas_datatype a_type, rocblas_int lda, const void* b, rocblas_datatype b_type, rocblas_int ldb, const void* beta, const void* c, rocblas_datatype c_type, rocblas_int ldc, void* d, rocblas_datatype d_type, rocblas_int ldd, rocblas_int batch_count, rocblas_datatype compute_type, rocblas_gemm_algo algo, int32_t solution_index, uint32_t flags);
- // CHECK: blasStatus = rocblas_gemm_batched_ex(blasHandle, transa, transb, m, n, k, aptr, voidAarray, Atype, lda, voidBarray, Btype, ldb, bptr, voidCarray, Ctype, ldc, batchCount, computeType, blasGemmAlgo);
- blasStatus = cublasGemmBatchedEx(blasHandle, transa, transb, m, n, k, aptr, voidAarray, Atype, lda, voidBarray, Btype, ldb, bptr, voidCarray, Ctype, ldc, batchCount, computeType, blasGemmAlgo);
+ // CHECK: blasStatus = rocblas_gemm_batched_ex(blasHandle, transa, transb, m, n, k, aptr, voidAarray_const, Atype, lda, voidBarray_const, Btype, ldb, bptr, voidCarray, Ctype, ldc, batchCount, computeType, blasGemmAlgo);
+ blasStatus = cublasGemmBatchedEx(blasHandle, transa, transb, m, n, k, aptr, voidAarray_const, Atype, lda, voidBarray_const, Btype, ldb, bptr, voidCarray, Ctype, ldc, batchCount, computeType, blasGemmAlgo);
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGemmStridedBatchedEx(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const void* alpha, const void* A, cudaDataType Atype, int lda, long long int strideA, const void* B, cudaDataType Btype, int ldb, long long int strideB, const void* beta, void* C, cudaDataType Ctype, int ldc, long long int strideC, int batchCount, cublasComputeType_t computeType, cublasGemmAlgo_t algo);
@@ -1686,6 +1717,11 @@ int main() {
// CHECK-NEXT: rocblas_datatype C_16BF = rocblas_datatype_bf16_c;
cublasDataType_t R_16BF = CUDA_R_16BF;
cublasDataType_t C_16BF = CUDA_C_16BF;
+
+ // CHECK: rocblas_computetype blasComputeType;
+ // CHECK-NEXT: rocblas_computetype BLAS_COMPUTE_32F = rocblas_compute_type_f32;
+ cublasComputeType_t blasComputeType;
+ cublasComputeType_t BLAS_COMPUTE_32F = CUBLAS_COMPUTE_32F;
#endif
#if CUDA_VERSION >= 11040 && CUBLAS_VERSION >= 11600
diff --git a/tests/unit_tests/synthetic/libraries/cublas2rocblas_v2.cu b/tests/unit_tests/synthetic/libraries/cublas2rocblas_v2.cu
index eab649d8..c03a1f0f 100644
--- a/tests/unit_tests/synthetic/libraries/cublas2rocblas_v2.cu
+++ b/tests/unit_tests/synthetic/libraries/cublas2rocblas_v2.cu
@@ -243,7 +243,9 @@ int main() {
float fresult = 0;
float** fAarray = 0;
+ const float** const fAarray_const = const_cast<const float**>(fAarray);
float** fBarray = 0;
+ const float** const fBarray_const = const_cast<const float**>(fBarray);
float** fCarray = 0;
float** fTauarray = 0;
@@ -263,12 +265,16 @@ int main() {
double dresult = 0;
double** dAarray = 0;
+ const double** const dAarray_const = const_cast<const double**>(dAarray);
double** dBarray = 0;
+ const double** const dBarray_const = const_cast<const double**>(dBarray);
double** dCarray = 0;
double** dTauarray = 0;
void** voidAarray = nullptr;
+ const void** const voidAarray_const = const_cast<const void**>(voidAarray);
void** voidBarray = nullptr;
+ const void** const voidBarray_const = const_cast<const void**>(voidBarray);
void** voidCarray = nullptr;
// TODO: #1281
@@ -293,20 +299,28 @@ int main() {
cuDoubleComplex dcomplex, dcomplexa, dcomplexA, dcomplexB, dcomplexC, dcomplexx, dcomplexy, dcomplexs, dcomplexb;
// CHECK: rocblas_float_complex** complexAarray = 0;
+ // CHECK: const rocblas_float_complex** const complexAarray_const = const_cast<const rocblas_float_complex**>(complexAarray);
// CHECK-NEXT: rocblas_float_complex** complexBarray = 0;
+ // CHECK: const rocblas_float_complex** const complexBarray_const = const_cast<const rocblas_float_complex**>(complexBarray);
// CHECK-NEXT: rocblas_float_complex** complexCarray = 0;
// CHECK-NEXT: rocblas_float_complex** complexTauarray = 0;
cuComplex** complexAarray = 0;
+ const cuComplex** const complexAarray_const = const_cast<const cuComplex**>(complexAarray);
cuComplex** complexBarray = 0;
+ const cuComplex** const complexBarray_const = const_cast<const cuComplex**>(complexBarray);
cuComplex** complexCarray = 0;
cuComplex** complexTauarray = 0;
// CHECK: rocblas_double_complex** dcomplexAarray = 0;
+ // CHECK: const rocblas_double_complex** const dcomplexAarray_const = const_cast<const rocblas_double_complex**>(dcomplexAarray);
// CHECK-NEXT: rocblas_double_complex** dcomplexBarray = 0;
+ // CHECK: const rocblas_double_complex** const dcomplexBarray_const = const_cast<const rocblas_double_complex**>(dcomplexBarray);
// CHECK-NEXT: rocblas_double_complex** dcomplexCarray = 0;
// CHECK-NEXT: rocblas_double_complex** dcomplexTauarray = 0;
cuDoubleComplex** dcomplexAarray = 0;
+ const cuDoubleComplex** const dcomplexAarray_const = const_cast<const cuDoubleComplex**>(dcomplexAarray);
cuDoubleComplex** dcomplexBarray = 0;
+ const cuDoubleComplex** const dcomplexBarray_const = const_cast<const cuDoubleComplex**>(dcomplexBarray);
cuDoubleComplex** dcomplexCarray = 0;
cuDoubleComplex** dcomplexTauarray = 0;
@@ -1338,14 +1352,14 @@ int main() {
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const float* alpha, const float* const Aarray[], int lda, const float* const Barray[], int ldb, const float* beta, float* const Carray[], int ldc, int batchCount);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_sgemm_batched(rocblas_handle handle, rocblas_operation transA, rocblas_operation transB, rocblas_int m, rocblas_int n, rocblas_int k, const float* alpha, const float* const A[], rocblas_int lda, const float* const B[], rocblas_int ldb, const float* beta, float* const C[], rocblas_int ldc, rocblas_int batch_count);
- // CHECK: blasStatus = rocblas_sgemm_batched(blasHandle, transa, transb, m, n, k, &fa, fAarray, lda, fBarray, ldb, &fb, fCarray, ldc, batchCount);
- blasStatus = cublasSgemmBatched(blasHandle, transa, transb, m, n, k, &fa, fAarray, lda, fBarray, ldb, &fb, fCarray, ldc, batchCount);
+ // CHECK: blasStatus = rocblas_sgemm_batched(blasHandle, transa, transb, m, n, k, &fa, fAarray_const, lda, fBarray_const, ldb, &fb, fCarray, ldc, batchCount);
+ blasStatus = cublasSgemmBatched(blasHandle, transa, transb, m, n, k, &fa, fAarray_const, lda, fBarray_const, ldb, &fb, fCarray, ldc, batchCount);
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const double* alpha, const double* const Aarray[], int lda, const double* const Barray[], int ldb, const double* beta, double* const Carray[], int ldc, int batchCount);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_dgemm_batched(rocblas_handle handle, rocblas_operation transA, rocblas_operation transB, rocblas_int m, rocblas_int n, rocblas_int k, const double* alpha, const double* const A[], rocblas_int lda, const double* const B[], rocblas_int ldb, const double* beta, double* const C[], rocblas_int ldc, rocblas_int batch_count);
- // CHECK: blasStatus = rocblas_dgemm_batched(blasHandle, transa, transb, m, n, k, &da, dAarray, lda, dBarray, ldb, &db, dCarray, ldc, batchCount);
- blasStatus = cublasDgemmBatched(blasHandle, transa, transb, m, n, k, &da, dAarray, lda, dBarray, ldb, &db, dCarray, ldc, batchCount);
+ // CHECK: blasStatus = rocblas_dgemm_batched(blasHandle, transa, transb, m, n, k, &da, dAarray_const, lda, dBarray_const, ldb, &db, dCarray, ldc, batchCount);
+ blasStatus = cublasDgemmBatched(blasHandle, transa, transb, m, n, k, &da, dAarray_const, lda, dBarray_const, ldb, &db, dCarray, ldc, batchCount);
// TODO: #1281
// TODO: __half -> rocblas_half
@@ -1355,14 +1369,14 @@ int main() {
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const cuComplex* alpha, const cuComplex* const Aarray[], int lda, const cuComplex* const Barray[], int ldb, const cuComplex* beta, cuComplex* const Carray[], int ldc, int batchCount);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_cgemm_batched(rocblas_handle handle, rocblas_operation transA, rocblas_operation transB, rocblas_int m, rocblas_int n, rocblas_int k, const rocblas_float_complex* alpha, const rocblas_float_complex* const A[], rocblas_int lda, const rocblas_float_complex* const B[], rocblas_int ldb, const rocblas_float_complex* beta, rocblas_float_complex* const C[], rocblas_int ldc, rocblas_int batch_count);
- // CHECK: blasStatus = rocblas_cgemm_batched(blasHandle, transa, transb, m, n, k, &complexa, complexAarray, lda, complexBarray, ldb, &complexb, complexCarray, ldc, batchCount);
- blasStatus = cublasCgemmBatched(blasHandle, transa, transb, m, n, k, &complexa, complexAarray, lda, complexBarray, ldb, &complexb, complexCarray, ldc, batchCount);
+ // CHECK: blasStatus = rocblas_cgemm_batched(blasHandle, transa, transb, m, n, k, &complexa, complexAarray_const, lda, complexBarray_const, ldb, &complexb, complexCarray, ldc, batchCount);
+ blasStatus = cublasCgemmBatched(blasHandle, transa, transb, m, n, k, &complexa, complexAarray_const, lda, complexBarray_const, ldb, &complexb, complexCarray, ldc, batchCount);
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemmBatched(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const cuDoubleComplex* alpha, const cuDoubleComplex* const Aarray[], int lda, const cuDoubleComplex* const Barray[], int ldb, const cuDoubleComplex* beta, cuDoubleComplex* const Carray[], int ldc, int batchCount);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_zgemm_batched(rocblas_handle handle, rocblas_operation transA, rocblas_operation transB, rocblas_int m, rocblas_int n, rocblas_int k, const rocblas_double_complex* alpha, const rocblas_double_complex* const A[], rocblas_int lda, const rocblas_double_complex* const B[], rocblas_int ldb, const rocblas_double_complex* beta, rocblas_double_complex* const C[], rocblas_int ldc, rocblas_int batch_count);
- // CHECK: blasStatus = rocblas_zgemm_batched(blasHandle, transa, transb, m, n, k, &dcomplexa, dcomplexAarray, lda, dcomplexBarray, ldb, &dcomplexb, dcomplexCarray, ldc, batchCount);
- blasStatus = cublasZgemmBatched(blasHandle, transa, transb, m, n, k, &dcomplexa, dcomplexAarray, lda, dcomplexBarray, ldb, &dcomplexb, dcomplexCarray, ldc, batchCount);
+ // CHECK: blasStatus = rocblas_zgemm_batched(blasHandle, transa, transb, m, n, k, &dcomplexa, dcomplexAarray_const, lda, dcomplexBarray_const, ldb, &dcomplexb, dcomplexCarray, ldc, batchCount);
+ blasStatus = cublasZgemmBatched(blasHandle, transa, transb, m, n, k, &dcomplexa, dcomplexAarray_const, lda, dcomplexBarray_const, ldb, &dcomplexb, dcomplexCarray, ldc, batchCount);
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsyrk_v2(cublasHandle_t handle, cublasFillMode_t uplo, cublasOperation_t trans, int n, int k, const float* alpha, const float* A, int lda, const float* beta, float* C, int ldc);
@@ -1635,26 +1649,26 @@ int main() {
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStrsmBatched(cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, cublasOperation_t trans, cublasDiagType_t diag, int m, int n, const float* alpha, const float* const A[], int lda, float* const B[], int ldb, int batchCount);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_strsm_batched(rocblas_handle handle, rocblas_side side, rocblas_fill uplo, rocblas_operation transA, rocblas_diagonal diag, rocblas_int m, rocblas_int n, const float* alpha, const float* const A[], rocblas_int lda, float* const B[], rocblas_int ldb, rocblas_int batch_count);
- // CHECK: blasStatus = rocblas_strsm_batched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &fa, fAarray, lda, fBarray, ldb, batchCount);
- blasStatus = cublasStrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &fa, fAarray, lda, fBarray, ldb, batchCount);
+ // CHECK: blasStatus = rocblas_strsm_batched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &fa, fAarray_const, lda, fBarray, ldb, batchCount);
+ blasStatus = cublasStrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &fa, fAarray_const, lda, fBarray, ldb, batchCount);
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtrsmBatched(cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, cublasOperation_t trans, cublasDiagType_t diag, int m, int n, const double* alpha, const double* const A[], int lda, double* const B[], int ldb, int batchCount);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_dtrsm_batched(rocblas_handle handle, rocblas_side side, rocblas_fill uplo, rocblas_operation transA, rocblas_diagonal diag, rocblas_int m, rocblas_int n, const double* alpha, const double* const A[], rocblas_int lda, double* const B[], rocblas_int ldb, rocblas_int batch_count);
- // CHECK: blasStatus = rocblas_dtrsm_batched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &da, dAarray, lda, dBarray, ldb, batchCount);
- blasStatus = cublasDtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &da, dAarray, lda, dBarray, ldb, batchCount);
+ // CHECK: blasStatus = rocblas_dtrsm_batched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &da, dAarray_const, lda, dBarray, ldb, batchCount);
+ blasStatus = cublasDtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &da, dAarray_const, lda, dBarray, ldb, batchCount);
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtrsmBatched(cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, cublasOperation_t trans, cublasDiagType_t diag, int m, int n, const cuComplex* alpha, const cuComplex* const A[], int lda, cuComplex* const B[], int ldb, int batchCount);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_ctrsm_batched(rocblas_handle handle, rocblas_side side, rocblas_fill uplo, rocblas_operation transA, rocblas_diagonal diag, rocblas_int m, rocblas_int n, const rocblas_float_complex* alpha, const rocblas_float_complex* const A[], rocblas_int lda, rocblas_float_complex* const B[], rocblas_int ldb, rocblas_int batch_count);
- // CHECK: blasStatus = rocblas_ctrsm_batched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &complexa, complexAarray, lda, complexBarray, ldb, batchCount);
- blasStatus = cublasCtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &complexa, complexAarray, lda, complexBarray, ldb, batchCount);
+ // CHECK: blasStatus = rocblas_ctrsm_batched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &complexa, complexAarray_const, lda, complexBarray, ldb, batchCount);
+ blasStatus = cublasCtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &complexa, complexAarray_const, lda, complexBarray, ldb, batchCount);
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtrsmBatched(cublasHandle_t handle, cublasSideMode_t side, cublasFillMode_t uplo, cublasOperation_t trans, cublasDiagType_t diag, int m, int n, const cuDoubleComplex* alpha, const cuDoubleComplex* const A[], int lda, cuDoubleComplex* const B[], int ldb, int batchCount);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_ztrsm_batched(rocblas_handle handle, rocblas_side side, rocblas_fill uplo, rocblas_operation transA, rocblas_diagonal diag, rocblas_int m, rocblas_int n, const rocblas_double_complex* alpha, const rocblas_double_complex* const A[], rocblas_int lda, rocblas_double_complex* const B[], rocblas_int ldb, rocblas_int batch_count);
- // CHECK: blasStatus = rocblas_ztrsm_batched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &dcomplexa, dcomplexAarray, lda, dcomplexBarray, ldb, batchCount);
- blasStatus = cublasZtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &dcomplexa, dcomplexAarray, lda, dcomplexBarray, ldb, batchCount);
+ // CHECK: blasStatus = rocblas_ztrsm_batched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &dcomplexa, dcomplexAarray_const, lda, dcomplexBarray, ldb, batchCount);
+ blasStatus = cublasZtrsmBatched(blasHandle, blasSideMode, blasFillMode, transa, blasDiagType, m, n, &dcomplexa, dcomplexAarray_const, lda, dcomplexBarray, ldb, batchCount);
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSdgmm(cublasHandle_t handle, cublasSideMode_t mode, int m, int n, const float* A, int lda, const float* x, int incx, float* C, int ldc);
@@ -1827,8 +1841,8 @@ int main() {
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGemmBatchedEx(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const void* alpha, const void* const Aarray[], cudaDataType Atype, int lda, const void* const Barray[], cudaDataType Btype, int ldb, const void* beta, void* const Carray[], cudaDataType Ctype, int ldc, int batchCount, cublasComputeType_t computeType, cublasGemmAlgo_t algo);
// ROC: ROCBLAS_EXPORT rocblas_status rocblas_gemm_batched_ex(rocblas_handle handle, rocblas_operation transA, rocblas_operation transB, rocblas_int m, rocblas_int n, rocblas_int k, const void* alpha, const void* a, rocblas_datatype a_type, rocblas_int lda, const void* b, rocblas_datatype b_type, rocblas_int ldb, const void* beta, const void* c, rocblas_datatype c_type, rocblas_int ldc, void* d, rocblas_datatype d_type, rocblas_int ldd, rocblas_int batch_count, rocblas_datatype compute_type, rocblas_gemm_algo algo, int32_t solution_index, uint32_t flags);
- // CHECK: blasStatus = rocblas_gemm_batched_ex(blasHandle, transa, transb, m, n, k, aptr, voidAarray, Atype, lda, voidBarray, Btype, ldb, bptr, voidCarray, Ctype, ldc, batchCount, computeType, blasGemmAlgo);
- blasStatus = cublasGemmBatchedEx(blasHandle, transa, transb, m, n, k, aptr, voidAarray, Atype, lda, voidBarray, Btype, ldb, bptr, voidCarray, Ctype, ldc, batchCount, computeType, blasGemmAlgo);
+ // CHECK: blasStatus = rocblas_gemm_batched_ex(blasHandle, transa, transb, m, n, k, aptr, voidAarray_const, Atype, lda, voidBarray_const, Btype, ldb, bptr, voidCarray, Ctype, ldc, batchCount, computeType, blasGemmAlgo);
+ blasStatus = cublasGemmBatchedEx(blasHandle, transa, transb, m, n, k, aptr, voidAarray_const, Atype, lda, voidBarray_const, Btype, ldb, bptr, voidCarray, Ctype, ldc, batchCount, computeType, blasGemmAlgo);
// TODO: #1281
// CUDA: CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGemmStridedBatchedEx(cublasHandle_t handle, cublasOperation_t transa, cublasOperation_t transb, int m, int n, int k, const void* alpha, const void* A, cudaDataType Atype, int lda, long long int strideA, const void* B, cudaDataType Btype, int ldb, long long int strideB, const void* beta, void* C, cudaDataType Ctype, int ldc, long long int strideC, int batchCount, cublasComputeType_t computeType, cublasGemmAlgo_t algo);
diff --git a/tests/unit_tests/synthetic/libraries/cusparse2hipsparse.cu b/tests/unit_tests/synthetic/libraries/cusparse2hipsparse.cu
index b59e9adc..382bd209 100644
--- a/tests/unit_tests/synthetic/libraries/cusparse2hipsparse.cu
+++ b/tests/unit_tests/synthetic/libraries/cusparse2hipsparse.cu
@@ -125,6 +125,8 @@ int main() {
int nnzb = 0;
int innz = 0;
int blockDim = 0;
+ int cscRowIndA = 0;
+ int cscColPtrA = 0;
int csrRowPtrA = 0;
int csrColIndA = 0;
int ncolors = 0;
@@ -157,6 +159,7 @@ int main() {
void *indices = nullptr;
void *values = nullptr;
void *cooRowInd = nullptr;
+ int icooRowInd = 0;
void *cscRowInd = nullptr;
void *csrColInd = nullptr;
void *cooColInd = nullptr;
@@ -185,6 +188,7 @@ int main() {
float ffractionToColor = 0.f;
double bsrValA = 0.f;
double csrValA = 0.f;
+ float fcsrValA = 0.f;
double csrValC = 0.f;
float csrSortedValA = 0.f;
double dbsrSortedValA = 0.f;
@@ -192,6 +196,9 @@ int main() {
float fbsrSortedValA = 0.f;
float fbsrSortedValC = 0.f;
float fcsrSortedValC = 0.f;
+ double percentage = 0.f;
+
+ pruneInfo_t prune_info;
// CHECK: hipDoubleComplex dcomplex, dComplexbsrSortedValA, dComplexbsrSortedValC;
cuDoubleComplex dcomplex, dComplexbsrSortedValA, dComplexbsrSortedValC;
@@ -412,6 +419,41 @@ int main() {
// CHECK: status_t = hipsparseXcoosortByRow(handle_t, m, n, innz, &icooRows, &icooColumns, P, pBuffer);
status_t = cusparseXcoosortByRow(handle_t, m, n, innz, &icooRows, &icooColumns, P, pBuffer);
+ // CUDA: cusparseStatus_t CUSPARSEAPI cusparseXcoosort_bufferSizeExt(cusparseHandle_t handle, int m, int n, int nnz, const int* cooRowsA, const int* cooColsA, size_t* pBufferSizeInBytes);
+ // HIP: HIPSPARSE_EXPORT hipsparseStatus_t hipsparseXcoosort_bufferSizeExt(hipsparseHandle_t handle, int m, int n, int nnz, const int* cooRows, const int* cooCols, size_t* pBufferSizeInBytes);
+ // CHECK: status_t = hipsparseXcoosort_bufferSizeExt(handle_t, m, n, innz, &icooRows, &icooColumns, &bufferSize);
+ status_t = cusparseXcoosort_bufferSizeExt(handle_t, m, n, innz, &icooRows, &icooColumns, &bufferSize);
+
+ // CUDA: cusparseStatus_t CUSPARSEAPI cusparseXcscsort(cusparseHandle_t handle, int m, int n, int nnz, const cusparseMatDescr_t descrA, const int* cscColPtrA, int* cscRowIndA, int* P, void* pBuffer);
+ // HIP: HIPSPARSE_EXPORT hipsparseStatus_t hipsparseXcscsort(hipsparseHandle_t handle, int m, int n, int nnz, const hipsparseMatDescr_t descrA, const int* cscColPtr, int* cscRowInd, int* P, void* pBuffer);
+ // CHECK: status_t = hipsparseXcscsort(handle_t, m, n, innz, matDescr_A, &cscColPtrA, &cscRowIndA, P, pBuffer);
+ status_t = cusparseXcscsort(handle_t, m, n, innz, matDescr_A, &cscColPtrA, &cscRowIndA, P, pBuffer);
+
+ // CUDA: cusparseStatus_t CUSPARSEAPI cusparseXcscsort_bufferSizeExt(cusparseHandle_t handle, int m, int n, int nnz, const int* cscColPtrA, const int* cscRowIndA, size_t* pBufferSizeInBytes);
+ // HIP: HIPSPARSE_EXPORT hipsparseStatus_t hipsparseXcscsort_bufferSizeExt(hipsparseHandle_t handle, int m, int n, int nnz, const int* cscColPtr, const int* cscRowInd, size_t* pBufferSizeInBytes);
+ // CHECK: status_t = hipsparseXcscsort_bufferSizeExt(handle_t, m, n, innz, &cscColPtrA, &cscRowIndA, &bufferSize);
+ status_t = cusparseXcscsort_bufferSizeExt(handle_t, m, n, innz, &cscColPtrA, &cscRowIndA, &bufferSize);
+
+ // CUDA: cusparseStatus_t CUSPARSEAPI cusparseXcsrsort(cusparseHandle_t handle, int m, int n, int nnz, const cusparseMatDescr_t descrA, const int* csrRowPtrA, int* csrColIndA, int* P, void* pBuffer);
+ // HIP: HIPSPARSE_EXPORT hipsparseStatus_t hipsparseXcsrsort(hipsparseHandle_t handle, int m, int n, int nnz, const hipsparseMatDescr_t descrA, const int* csrRowPtr, int* csrColInd, int* P, void* pBuffer);
+ // CHECK: status_t = hipsparseXcsrsort(handle_t, m, n, innz, matDescr_A, &cscRowIndA, &cscColPtrA, P, pBuffer);
+ status_t = cusparseXcsrsort(handle_t, m, n, innz, matDescr_A, &cscRowIndA, &cscColPtrA, P, pBuffer);
+
+ // CUDA: cusparseStatus_t CUSPARSEAPI cusparseXcsrsort_bufferSizeExt(cusparseHandle_t handle, int m, int n, int nnz, const int* csrRowPtrA, const int* csrColIndA, size_t* pBufferSizeInBytes);
+ // HIP: HIPSPARSE_EXPORT hipsparseStatus_t hipsparseXcsrsort_bufferSizeExt(hipsparseHandle_t handle, int m, int n, int nnz, const int* csrRowPtr, const int* csrColInd, size_t* pBufferSizeInBytes);
+ // CHECK: status_t = hipsparseXcsrsort_bufferSizeExt(handle_t, m, n, innz, &cscRowIndA, &cscColPtrA, &bufferSize);
+ status_t = cusparseXcsrsort_bufferSizeExt(handle_t, m, n, innz, &cscRowIndA, &cscColPtrA, &bufferSize);
+
+ // CUDA: cusparseStatus_t CUSPARSEAPI cusparseCreateIdentityPermutation(cusparseHandle_t handle, int n, int* p);
+ // HIP: HIPSPARSE_EXPORT hipsparseStatus_t hipsparseCreateIdentityPermutation(hipsparseHandle_t handle, int n, int* p);
+ // CHECK: status_t = hipsparseCreateIdentityPermutation(handle_t, n, P);
+ status_t = cusparseCreateIdentityPermutation(handle_t, n, P);
+
+ // CUDA: cusparseStatus_t CUSPARSEAPI cusparseXcoo2csr(cusparseHandle_t handle, const int* cooRowInd, int nnz, int m, int* csrSortedRowPtr, cusparseIndexBase_t idxBase);
+ // HIP: HIPSPARSE_EXPORT hipsparseStatus_t hipsparseXcoo2csr(hipsparseHandle_t handle, const int* cooRowInd, int nnz, int m, int* csrRowPtr, hipsparseIndexBase_t idxBase);
+ // CHECK: status_t = hipsparseXcoo2csr(handle_t, &icooRowInd, nnz, m, &csrRowPtrA, indexBase_t);
+ status_t = cusparseXcoo2csr(handle_t, &icooRowInd, nnz, m, &csrRowPtrA, indexBase_t);
+
#if CUDA_VERSION >= 8000
// CHECK: hipDataType dataType_t;
// CHECK-NEXT: hipDataType dataType;
@@ -419,6 +461,13 @@ int main() {
cudaDataType dataType;
#endif
+#if CUDA_VERSION >= 9000
+ // CUDA: cusparseStatus_t CUSPARSEAPI cusparseDpruneCsr2csrByPercentage(cusparseHandle_t handle, int m, int n, int nnzA, const cusparseMatDescr_t descrA, const double* csrSortedValA, const int* csrSortedRowPtrA, const int* csrSortedColIndA, float percentage, const cusparseMatDescr_t descrC, double* csrSortedValC, const int* csrSortedRowPtrC, int* csrSortedColIndC, pruneInfo_t info, void* pBuffer);
+ // HIP: HIPSPARSE_EXPORT hipsparseStatus_t hipsparseDpruneCsr2csrByPercentage(hipsparseHandle_t handle, int m, int n, int nnzA, const hipsparseMatDescr_t descrA, const double* csrValA, const int* csrRowPtrA, const int* csrColIndA, double percentage, const hipsparseMatDescr_t descrC, double* csrValC, const int* csrRowPtrC, int* csrColIndC, pruneInfo_t info, void* buffer);
+ // CHECK: status_t = hipsparseDpruneCsr2csrByPercentage(handle_t, m, n, nnz, matDescr_A, &csrValA, &csrRowPtrA, &csrColIndA, percentage, matDescr_C, &csrValC, &csrRowPtrC, &csrColIndC, prune_info, pBuffer);
+ status_t = cusparseDpruneCsr2csrByPercentage(handle_t, m, n, nnz, matDescr_A, &csrValA, &csrRowPtrA, &csrColIndA, percentage, matDescr_C, &csrValC, &csrRowPtrC, &csrColIndC, prune_info, pBuffer);
+#endif
+
#if CUDA_VERSION >= 8000 && CUDA_VERSION < 12000
// CUDA: cusparseStatus_t CUSPARSEAPI cusparseCopyMatDescr(cusparseMatDescr_t dest, const cusparseMatDescr_t src);
// HIP: HIPSPARSE_EXPORT hipsparseStatus_t hipsparseCopyMatDescr(hipsparseMatDescr_t dest, const hipsparseMatDescr_t src);
@@ -426,7 +475,7 @@ int main() {
status_t = cusparseCopyMatDescr(matDescr_t, matDescr_t_2);
#endif
-#if CUDA_VERSION >= 10010
+#if (CUDA_VERSION >= 10010 && CUDA_VERSION < 11000 && !defined(_WIN32)) || CUDA_VERSION >= 11000
// CHECK: hipsparseSpMatDescr_t spMatDescr_t, matC;
cusparseSpMatDescr_t spMatDescr_t, matC;
@@ -471,11 +520,6 @@ int main() {
// CHECK: hipsparseSpMMAlg_t spMMAlg_t;
cusparseSpMMAlg_t spMMAlg_t;
- // CHECK: hipsparseCsr2CscAlg_t Csr2CscAlg_t;
- // CHECK-NEXT: hipsparseCsr2CscAlg_t CSR2CSC_ALG1 = HIPSPARSE_CSR2CSC_ALG1;
- cusparseCsr2CscAlg_t Csr2CscAlg_t;
- cusparseCsr2CscAlg_t CSR2CSC_ALG1 = CUSPARSE_CSR2CSC_ALG1;
-
// CUDA: cusparseStatus_t CUSPARSEAPI cusparseCreateCoo(cusparseSpMatDescr_t* spMatDescr, int64_t ows, int64_t cols, int64_t nnz, void* cooRowInd, void* cooColInd, void* cooValues, cusparseIndexType_t cooIdxType, cusparseIndexBase_t idxBase, cudaDataType valueType);
// HIP: HIPSPARSE_EXPORT hipsparseStatus_t hipsparseCreateCoo(hipsparseSpMatDescr_t* spMatDescr, int64_t rows, int64_t cols, int64_t nnz, void* cooRowInd, void* cooColInd, void* cooValues, hipsparseIndexType_t cooIdxType, hipsparseIndexBase_t idxBase, hipDataType valueType);
// CHECK: status_t = hipsparseCreateCoo(&spMatDescr_t, rows, cols, nnz, cooRowInd, cooColInd, cooValues, indexType_t, indexBase_t, dataType);
@@ -527,28 +571,34 @@ int main() {
status_t = cusparseDnMatSetStridedBatch(dnMatDescr_t, batchCount, batchStride);
#endif
-#if CUDA_VERSION >= 10010 && CUDA_VERSION < 12000
+#if CUDA_VERSION >= 10010
+ // CHECK: hipsparseCsr2CscAlg_t Csr2CscAlg_t;
+ // CHECK-NEXT: hipsparseCsr2CscAlg_t CSR2CSC_ALG1 = HIPSPARSE_CSR2CSC_ALG1;
+ cusparseCsr2CscAlg_t Csr2CscAlg_t;
+ cusparseCsr2CscAlg_t CSR2CSC_ALG1 = CUSPARSE_CSR2CSC_ALG1;
+#endif
+
+#if (CUDA_VERSION >= 10010 && CUDA_VERSION < 11000 && !defined(_WIN32)) || (CUDA_VERSION >= 11000 && CUDA_VERSION < 12000)
// CHECK: hipsparseSpMMAlg_t COOMM_ALG1 = HIPSPARSE_COOMM_ALG1;
// CHECK-NEXT: hipsparseSpMMAlg_t COOMM_ALG2 = HIPSPARSE_COOMM_ALG2;
// CHECK-NEXT: hipsparseSpMMAlg_t COOMM_ALG3 = HIPSPARSE_COOMM_ALG3;
cusparseSpMMAlg_t COOMM_ALG1 = CUSPARSE_COOMM_ALG1;
cusparseSpMMAlg_t COOMM_ALG2 = CUSPARSE_COOMM_ALG2;
cusparseSpMMAlg_t COOMM_ALG3 = CUSPARSE_COOMM_ALG3;
+#endif
+#if CUDA_VERSION >= 10010 && CUDA_VERSION < 12000
// CHECK: hipsparseCsr2CscAlg_t CSR2CSC_ALG2 = HIPSPARSE_CSR2CSC_ALG2;
cusparseCsr2CscAlg_t CSR2CSC_ALG2 = CUSPARSE_CSR2CSC_ALG2;
#endif
-#if CUDA_VERSION >= 10020
+#if (CUDA_VERSION >= 10020 && CUDA_VERSION < 11000 && !defined(_WIN32)) || CUDA_VERSION >= 11000
// CHECK: hipsparseSpVecDescr_t spVecDescr_t;
cusparseSpVecDescr_t spVecDescr_t;
// CHECK: hipsparseDnVecDescr_t dnVecDescr_t, vecX, vecY;
cusparseDnVecDescr_t dnVecDescr_t, vecX, vecY;
- // CHECK: hipsparseStatus_t STATUS_NOT_SUPPORTED = HIPSPARSE_STATUS_NOT_SUPPORTED;
- cusparseStatus_t STATUS_NOT_SUPPORTED = CUSPARSE_STATUS_NOT_SUPPORTED;
-
// CHECK: hipsparseSpMVAlg_t spMVAlg_t;
cusparseSpMVAlg_t spMVAlg_t;
@@ -648,7 +698,12 @@ int main() {
status_t = cusparseSpMV(handle_t, opA, alpha, spMatDescr_t, vecX, beta, vecY, dataType, spMVAlg_t, tempBuffer);
#endif
-#if CUDA_VERSION >= 10020 && CUDA_VERSION < 12000
+#if CUDA_VERSION >= 10020
+ // CHECK: hipsparseStatus_t STATUS_NOT_SUPPORTED = HIPSPARSE_STATUS_NOT_SUPPORTED;
+ cusparseStatus_t STATUS_NOT_SUPPORTED = CUSPARSE_STATUS_NOT_SUPPORTED;
+#endif
+
+#if (CUDA_VERSION >= 10020 && CUDA_VERSION < 11000 && !defined(_WIN32)) || (CUDA_VERSION >= 11000 && CUDA_VERSION < 12000)
// CHECK: hipsparseFormat_t FORMAT_COO_AOS = HIPSPARSE_FORMAT_COO_AOS;
cusparseFormat_t FORMAT_COO_AOS = CUSPARSE_FORMAT_COO_AOS;
@@ -772,6 +827,26 @@ int main() {
// HIP: HIPSPARSE_EXPORT hipsparseStatus_t hipsparseDestroyHybMat(hipsparseHybMat_t hybA);
// CHECK: status_t = hipsparseDestroyHybMat(hybMat_t);
status_t = cusparseDestroyHybMat(hybMat_t);
+
+ // CUDA: CUSPARSE_DEPRECATED cusparseStatus_t CUSPARSEAPI cusparseZhyb2csr(cusparseHandle_t handle, const cusparseMatDescr_t descrA, const cusparseHybMat_t hybA, cuDoubleComplex* csrSortedValA, int* csrSortedRowPtrA, int* csrSortedColIndA);
+ // HIP: HIPSPARSE_EXPORT hipsparseStatus_t hipsparseZhyb2csr(hipsparseHandle_t handle, const hipsparseMatDescr_t descrA, const hipsparseHybMat_t hybA, hipDoubleComplex* csrSortedValA, int* csrSortedRowPtrA, int* csrSortedColIndA);
+ // CHECK: status_t = hipsparseZhyb2csr(handle_t, matDescr_t, hybMat_t, &dComplexbsrSortedValA, &csrRowPtrA, &csrColIndA);
+ status_t = cusparseZhyb2csr(handle_t, matDescr_t, hybMat_t, &dComplexbsrSortedValA, &csrRowPtrA, &csrColIndA);
+
+ // CUDA: CUSPARSE_DEPRECATED cusparseStatus_t CUSPARSEAPI cusparseChyb2csr(cusparseHandle_t handle, const cusparseMatDescr_t descrA, const cusparseHybMat_t hybA, cuComplex* csrSortedValA, int* csrSortedRowPtrA, int* csrSortedColIndA);
+ // HIP: HIPSPARSE_EXPORT hipsparseStatus_t hipsparseChyb2csr(hipsparseHandle_t handle, const hipsparseMatDescr_t descrA, const hipsparseHybMat_t hybA, hipComplex* csrSortedValA, int* csrSortedRowPtrA, int* csrSortedColIndA);
+ // CHECK: status_t = hipsparseChyb2csr(handle_t, matDescr_t, hybMat_t, &complex, &csrRowPtrA, &csrColIndA);
+ status_t = cusparseChyb2csr(handle_t, matDescr_t, hybMat_t, &complex, &csrRowPtrA, &csrColIndA);
+
+ // CUDA: CUSPARSE_DEPRECATED cusparseStatus_t CUSPARSEAPI cusparseDhyb2csr(cusparseHandle_t handle, const cusparseMatDescr_t descrA, const cusparseHybMat_t hybA, double* csrSortedValA, int* csrSortedRowPtrA, int* csrSortedColIndA);
+ // HIP: HIPSPARSE_EXPORT hipsparseStatus_t hipsparseDhyb2csr(hipsparseHandle_t handle, const hipsparseMatDescr_t descrA, const hipsparseHybMat_t hybA, double* csrSortedValA, int* csrSortedRowPtrA, int* csrSortedColIndA);
+ // CHECK: status_t = hipsparseDhyb2csr(handle_t, matDescr_t, hybMat_t, &csrValA, &csrRowPtrA, &csrColIndA);
+ status_t = cusparseDhyb2csr(handle_t, matDescr_t, hybMat_t, &csrValA, &csrRowPtrA, &csrColIndA);
+
+ // CUDA: CUSPARSE_DEPRECATED cusparseStatus_t CUSPARSEAPI cusparseShyb2csr(cusparseHandle_t handle, const cusparseMatDescr_t descrA, const cusparseHybMat_t hybA, float* csrSortedValA, int* csrSortedRowPtrA, int* csrSortedColIndA);
+ // HIP: HIPSPARSE_EXPORT hipsparseStatus_t hipsparseShyb2csr(hipsparseHandle_t handle, const hipsparseMatDescr_t descrA, const hipsparseHybMat_t hybA, float* csrSortedValA, int* csrSortedRowPtrA, int* csrSortedColIndA);
+ // CHECK: status_t = hipsparseShyb2csr(handle_t, matDescr_t, hybMat_t, &fcsrValA, &csrRowPtrA, &csrColIndA);
+ status_t = cusparseShyb2csr(handle_t, matDescr_t, hybMat_t, &fcsrValA, &csrRowPtrA, &csrColIndA);
#endif
#if CUDA_VERSION >= 11010 && CUSPARSE_VERSION >= 11300
diff --git a/tests/unit_tests/synthetic/libraries/cusparse2rocsparse.cu b/tests/unit_tests/synthetic/libraries/cusparse2rocsparse.cu
index 14a3dc10..9c484183 100644
--- a/tests/unit_tests/synthetic/libraries/cusparse2rocsparse.cu
+++ b/tests/unit_tests/synthetic/libraries/cusparse2rocsparse.cu
@@ -125,6 +125,8 @@ int main() {
int nnzb = 0;
int innz = 0;
int blockDim = 0;
+ int cscRowIndA = 0;
+ int cscColPtrA = 0;
int csrRowPtrA = 0;
int csrColIndA = 0;
int ncolors = 0;
@@ -157,6 +159,7 @@ int main() {
void *indices = nullptr;
void *values = nullptr;
void *cooRowInd = nullptr;
+ int icooRowInd = 0;
void *cscRowInd = nullptr;
void *csrColInd = nullptr;
void *cooColInd = nullptr;
@@ -192,6 +195,10 @@ int main() {
float fbsrSortedValA = 0.f;
float fbsrSortedValC = 0.f;
float fcsrSortedValC = 0.f;
+ double percentage = 0.f;
+
+ // CHECK: rocsparse_mat_info prune_info;
+ pruneInfo_t prune_info;
// TODO: should be rocsparse_double_complex
// TODO: add to TypeOverloads cuDoubleComplex -> rocsparse_double_complex under a new option --sparse
@@ -416,6 +423,41 @@ int main() {
// CHECK: status_t = rocsparse_coosort_by_row(handle_t, m, n, innz, &icooRows, &icooColumns, P, pBuffer);
status_t = cusparseXcoosortByRow(handle_t, m, n, innz, &icooRows, &icooColumns, P, pBuffer);
+ // CUDA: cusparseStatus_t CUSPARSEAPI cusparseXcoosort_bufferSizeExt(cusparseHandle_t handle, int m, int n, int nnz, const int* cooRowsA, const int* cooColsA, size_t* pBufferSizeInBytes);
+ // ROC: ROCSPARSE_EXPORT rocsparse_status rocsparse_coosort_buffer_size(rocsparse_handle handle, rocsparse_int m, rocsparse_int n, rocsparse_int nnz, const rocsparse_int* coo_row_ind, const rocsparse_int* coo_col_ind, size_t* buffer_size);
+ // CHECK: status_t = rocsparse_coosort_buffer_size(handle_t, m, n, innz, &icooRows, &icooColumns, &bufferSize);
+ status_t = cusparseXcoosort_bufferSizeExt(handle_t, m, n, innz, &icooRows, &icooColumns, &bufferSize);
+
+ // CUDA: cusparseStatus_t CUSPARSEAPI cusparseXcscsort(cusparseHandle_t handle, int m, int n, int nnz, const cusparseMatDescr_t descrA, const int* cscColPtrA, int* cscRowIndA, int* P, void* pBuffer);
+ // ROC: ROCSPARSE_EXPORT rocsparse_status rocsparse_cscsort(rocsparse_handle handle, rocsparse_int m, rocsparse_int n, rocsparse_int nnz, const rocsparse_mat_descr descr, const rocsparse_int* csc_col_ptr, rocsparse_int* csc_row_ind, rocsparse_int* perm, void* temp_buffer);
+ // CHECK: status_t = rocsparse_cscsort(handle_t, m, n, innz, matDescr_A, &cscColPtrA, &cscRowIndA, P, pBuffer);
+ status_t = cusparseXcscsort(handle_t, m, n, innz, matDescr_A, &cscColPtrA, &cscRowIndA, P, pBuffer);
+
+ // CUDA: cusparseStatus_t CUSPARSEAPI cusparseXcscsort_bufferSizeExt(cusparseHandle_t handle, int m, int n, int nnz, const int* cscColPtrA, const int* cscRowIndA, size_t* pBufferSizeInBytes);
+ // ROC: ROCSPARSE_EXPORT rocsparse_status rocsparse_cscsort_buffer_size(rocsparse_handle handle, rocsparse_int m, rocsparse_int n, rocsparse_int nnz, const rocsparse_int* csc_col_ptr, const rocsparse_int* csc_row_ind, size_t* buffer_size);
+ // CHECK: status_t = rocsparse_cscsort_buffer_size(handle_t, m, n, innz, &cscColPtrA, &cscRowIndA, &bufferSize);
+ status_t = cusparseXcscsort_bufferSizeExt(handle_t, m, n, innz, &cscColPtrA, &cscRowIndA, &bufferSize);
+
+ // CUDA: cusparseStatus_t CUSPARSEAPI cusparseXcsrsort(cusparseHandle_t handle, int m, int n, int nnz, const cusparseMatDescr_t descrA, const int* csrRowPtrA, int* csrColIndA, int* P, void* pBuffer);
+ // ROC: ROCSPARSE_EXPORT rocsparse_status rocsparse_csrsort(rocsparse_handle handle, rocsparse_int m, rocsparse_int n, rocsparse_int nnz, const rocsparse_mat_descr descr, const rocsparse_int* csr_row_ptr, rocsparse_int* csr_col_ind, rocsparse_int* perm, void* temp_buffer);
+ // CHECK: status_t = rocsparse_csrsort(handle_t, m, n, innz, matDescr_A, &cscRowIndA, &cscColPtrA, P, pBuffer);
+ status_t = cusparseXcsrsort(handle_t, m, n, innz, matDescr_A, &cscRowIndA, &cscColPtrA, P, pBuffer);
+
+ // CUDA: cusparseStatus_t CUSPARSEAPI cusparseXcsrsort_bufferSizeExt(cusparseHandle_t handle, int m, int n, int nnz, const int* csrRowPtrA, const int* csrColIndA, size_t* pBufferSizeInBytes);
+ // ROC: ROCSPARSE_EXPORT rocsparse_status rocsparse_csrsort_buffer_size(rocsparse_handle handle, rocsparse_int m, rocsparse_int n, rocsparse_int nnz, const rocsparse_int* csr_row_ptr, const rocsparse_int* csr_col_ind, size_t* buffer_size);
+ // CHECK: status_t = rocsparse_csrsort_buffer_size(handle_t, m, n, innz, &cscRowIndA, &cscColPtrA, &bufferSize);
+ status_t = cusparseXcsrsort_bufferSizeExt(handle_t, m, n, innz, &cscRowIndA, &cscColPtrA, &bufferSize);
+
+ // CUDA: cusparseStatus_t CUSPARSEAPI cusparseCreateIdentityPermutation(cusparseHandle_t handle, int n, int* p);
+ // ROC: ROCSPARSE_EXPORT rocsparse_status rocsparse_create_identity_permutation(rocsparse_handle handle, rocsparse_int n, rocsparse_int* p);
+ // CHECK: status_t = rocsparse_create_identity_permutation(handle_t, n, P);
+ status_t = cusparseCreateIdentityPermutation(handle_t, n, P);
+
+ // CUDA: cusparseStatus_t CUSPARSEAPI cusparseXcoo2csr(cusparseHandle_t handle, const int* cooRowInd, int nnz, int m, int* csrSortedRowPtr, cusparseIndexBase_t idxBase);
+ // ROC: ROCSPARSE_EXPORT rocsparse_status rocsparse_coo2csr(rocsparse_handle handle, const rocsparse_int* coo_row_ind, rocsparse_int nnz, rocsparse_int m, rocsparse_int* csr_row_ptr, rocsparse_index_base idx_base);
+ // CHECK: status_t = rocsparse_coo2csr(handle_t, &icooRowInd, nnz, m, &csrRowPtrA, indexBase_t);
+ status_t = cusparseXcoo2csr(handle_t, &icooRowInd, nnz, m, &csrRowPtrA, indexBase_t);
+
#if CUDA_VERSION >= 8000
// CHECK: hipDataType dataType_t;
// TODO: [#899] There should be rocsparse_datatype
@@ -424,6 +466,13 @@ int main() {
cudaDataType dataType;
#endif
+#if CUDA_VERSION >= 9000
+ // CUDA: cusparseStatus_t CUSPARSEAPI cusparseDpruneCsr2csrByPercentage(cusparseHandle_t handle, int m, int n, int nnzA, const cusparseMatDescr_t descrA, const double* csrSortedValA, const int* csrSortedRowPtrA, const int* csrSortedColIndA, float percentage, const cusparseMatDescr_t descrC, double* csrSortedValC, const int* csrSortedRowPtrC, int* csrSortedColIndC, pruneInfo_t info, void* pBuffer);
+ // ROC: ROCSPARSE_EXPORT rocsparse_status rocsparse_dprune_csr2csr_by_percentage(rocsparse_handle handle, rocsparse_int m, rocsparse_int n, rocsparse_int nnz_A, const rocsparse_mat_descr csr_descr_A, const double* csr_val_A, const rocsparse_int* csr_row_ptr_A, const rocsparse_int* csr_col_ind_A, double percentage, const rocsparse_mat_descr csr_descr_C, double* csr_val_C, const rocsparse_int* csr_row_ptr_C, rocsparse_int* csr_col_ind_C, rocsparse_mat_info info, void* temp_buffer);
+ // CHECK: status_t = rocsparse_dprune_csr2csr_by_percentage(handle_t, m, n, nnz, matDescr_A, &csrValA, &csrRowPtrA, &csrColIndA, percentage, matDescr_C, &csrValC, &csrRowPtrC, &csrColIndC, prune_info, pBuffer);
+ status_t = cusparseDpruneCsr2csrByPercentage(handle_t, m, n, nnz, matDescr_A, &csrValA, &csrRowPtrA, &csrColIndA, percentage, matDescr_C, &csrValC, &csrRowPtrC, &csrColIndC, prune_info, pBuffer);
+#endif
+
#if CUDA_VERSION >= 8000 && CUDA_VERSION < 12000
// CUDA: cusparseStatus_t CUSPARSEAPI cusparseCopyMatDescr(cusparseMatDescr_t dest, const cusparseMatDescr_t src);
// ROC: ROCSPARSE_EXPORT rocsparse_status rocsparse_copy_mat_descr(rocsparse_mat_descr dest, const rocsparse_mat_descr src);
@@ -431,7 +480,7 @@ int main() {
status_t = cusparseCopyMatDescr(matDescr_t, matDescr_t_2);
#endif
-#if CUDA_VERSION >= 10010
+#if (CUDA_VERSION >= 10010 && CUDA_VERSION < 11000 && !defined(_WIN32)) || CUDA_VERSION >= 11000
// CHECK: _rocsparse_spmat_descr *spMatDescr = nullptr;
// CHECK-NEXT: rocsparse_spmat_descr spMatDescr_t, matC;
cusparseSpMatDescr *spMatDescr = nullptr;
@@ -531,7 +580,7 @@ int main() {
status_t = cusparseDnMatSetStridedBatch(dnMatDescr_t, batchCount, batchStride);
#endif
-#if CUDA_VERSION >= 10020
+#if (CUDA_VERSION >= 10020 && CUDA_VERSION < 11000 && !defined(_WIN32)) || CUDA_VERSION >= 11000
// CHECK: _rocsparse_spvec_descr *spVecDescr = nullptr;
// CHECK-NEXT: rocsparse_spvec_descr spVecDescr_t;
cusparseSpVecDescr *spVecDescr = nullptr;
@@ -542,9 +591,6 @@ int main() {
cusparseDnVecDescr *dnVecDescr = nullptr;
cusparseDnVecDescr_t dnVecDescr_t, vecX, vecY;
- // CHECK: rocsparse_status STATUS_NOT_SUPPORTED = rocsparse_status_not_implemented;
- cusparseStatus_t STATUS_NOT_SUPPORTED = CUSPARSE_STATUS_NOT_SUPPORTED;
-
// CHECK: rocsparse_spmv_alg spMVAlg_t;
cusparseSpMVAlg_t spMVAlg_t;
@@ -644,7 +690,12 @@ int main() {
status_t = cusparseSpMV(handle_t, opA, alpha, spMatDescr_t, vecX, beta, vecY, dataType, spMVAlg_t, tempBuffer);
#endif
-#if CUDA_VERSION >= 10020 && CUDA_VERSION < 12000
+#if CUDA_VERSION >= 10020
+ // CHECK: rocsparse_status STATUS_NOT_SUPPORTED = rocsparse_status_not_implemented;
+ cusparseStatus_t STATUS_NOT_SUPPORTED = CUSPARSE_STATUS_NOT_SUPPORTED;
+#endif
+
+#if (CUDA_VERSION >= 10020 && CUDA_VERSION < 11000 && !defined(_WIN32)) || (CUDA_VERSION >= 11000 && CUDA_VERSION < 12000)
// CHECK: rocsparse_format FORMAT_COO_AOS = rocsparse_format_coo_aos;
cusparseFormat_t FORMAT_COO_AOS = CUSPARSE_FORMAT_COO_AOS;