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Add an e2e test for XeTile gather/scatter on SLM (#988)
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test/Integration/Dialect/XeTile/sg_gather_scatter_slm.mlir
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| // RUN: IMEX_USE_IGC_VECTOR_BACK_END=1 %python_executable %imex_runner --requires=l0-runtime -i %s --pass-pipeline-file=%p/xetile-to-func-vc.pp \ | ||
| // RUN: --runner imex-cpu-runner -e main \ | ||
| // RUN: --entry-point-result=void \ | ||
| // RUN: --shared-libs=%irunner_utils,%mlir_runner_utils,%mlir_c_runner_utils,%levelzero_runtime --filecheck | ||
| // RUN: IMEX_USE_IGC_VECTOR_BACK_END=1 %python_executable %imex_runner --requires=sycl-runtime -i %s --pass-pipeline-file=%p/xetile-to-func-vc.pp \ | ||
| // RUN: --runner imex-cpu-runner -e main \ | ||
| // RUN: --entry-point-result=void \ | ||
| // RUN: --shared-libs=%irunner_utils,%mlir_runner_utils,%mlir_c_runner_utils,%sycl_runtime --filecheck | ||
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| // NOTES : | ||
| // This example assumes one subgroup per one workgroup and the kernel specifies the computation | ||
| // done by a single subgroup. | ||
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| module @gemm attributes {gpu.container_module} { | ||
| // a test case case return the transpose of A, which is viewed as memref<32x32xf16>. | ||
| // it uses one workgroup containing 32 subgroups, organized as (8x4), so each subgroup | ||
| // works on a 4x8 tile of A. It used SLM to do the transpose, to evaluate the functionality | ||
| // of the SLM operations. | ||
| func.func @test(%A: memref<32x32xf16>) -> memref<32x32xf16> attributes {llvm.emit_c_interface} { | ||
| %c1 = arith.constant 1 : index | ||
| %c4 = arith.constant 4 : index | ||
| %c8 = arith.constant 8 : index | ||
| %A_gpu = gpu.alloc host_shared () : memref<32x32xf16> | ||
| memref.copy %A, %A_gpu : memref<32x32xf16> to memref<32x32xf16> | ||
| %B_gpu = gpu.alloc host_shared () : memref<32x32xf16> | ||
| gpu.launch_func @test_kernel::@trans_kernel blocks in (%c1, %c1, %c1) threads in (%c4, %c8, %c1) args(%A_gpu : memref<32x32xf16>, %B_gpu : memref<32x32xf16>) | ||
| gpu.dealloc %A_gpu : memref<32x32xf16> | ||
| return %B_gpu : memref<32x32xf16> | ||
| } | ||
| gpu.module @test_kernel attributes {spirv.target_env = #spirv.target_env<#spirv.vce<v1.4, [Addresses, Float16Buffer, Int64, Int16, Int8, Kernel, Linkage, Vector16, GenericPointer, Groups, Float16, Float64, AtomicFloat32AddEXT, ExpectAssumeKHR, SubgroupDispatch, VectorComputeINTEL, VectorAnyINTEL, Bfloat16ConversionINTEL], [SPV_EXT_shader_atomic_float_add, SPV_KHR_expect_assume, SPV_INTEL_vector_compute, SPV_INTEL_bfloat16_conversion]>, api=OpenCL, #spirv.resource_limits<>>} { | ||
| gpu.func @trans_kernel(%A: memref<32x32xf16>, %B: memref<32x32xf16>) kernel attributes {VectorComputeFunctionINTEL, spirv.entry_point_abi = #spirv.entry_point_abi<>} { | ||
| %c0 = arith.constant 0 : index | ||
| %c2 = arith.constant 2 : index | ||
| %c3 = arith.constant 3 : index | ||
| %c4 = arith.constant 4 : index | ||
| %c8 = arith.constant 8 : index | ||
| %c128 = arith.constant 128 : index | ||
| %c256 = arith.constant 256 : index | ||
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| %sgid = gpu.subgroup_id : index | ||
| // %tid_y = arith.divui %sgid, %c4 : index | ||
| // %tid_x = arith.remui %sgid, %c4 : index | ||
| %tid_y = arith.shrui %sgid, %c2 : index | ||
| %tid_x = arith.andi %sgid, %c3 : index | ||
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| %off_y = arith.muli %tid_y, %c4 : index | ||
| %off_x = arith.muli %tid_x, %c8 : index | ||
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| // load data from global memory using block load | ||
| %a_tile = xetile.init_tile %A[%off_y, %off_x] : memref<32x32xf16> -> !xetile.tile<4x8xf16> | ||
| %data = xetile.load_tile %a_tile : !xetile.tile<4x8xf16> -> vector<4x8xf16> | ||
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| %slm = memref.alloc() : memref<32x32xf16, 3> | ||
| %cast = memref.reinterpret_cast %slm to offset: [0], sizes: [1024], strides: [1] : memref<32x32xf16, 3> to memref<1024xf16, 3> | ||
| %mask = arith.constant dense<true>: vector<4x8xi1> | ||
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| // store data to slm using original layout | ||
| %base_indices = arith.constant dense<[[0, 1, 2, 3, 4, 5, 6, 7], | ||
| [32, 33, 34, 35, 36, 37, 38, 39], | ||
| [64, 65, 66, 67, 68, 69, 70, 71], | ||
| [96, 97, 98, 99, 100, 101, 102, 103]]>: vector<4x8xindex> | ||
| %off_y2 = arith.muli %tid_y, %c128 : index | ||
| %offset = arith.addi %off_y2, %off_x : index | ||
| %offsets = vector.splat %offset: vector<4x8xindex> | ||
| %indices = arith.addi %base_indices, %offsets : vector<4x8xindex> | ||
| %st_tile = xetile.init_tile %cast, %indices : memref<1024xf16, 3>, vector<4x8xindex> -> !xetile.tile<4x8xf16, #xetile.tile_attr<scattered = true, memory_space=3>> | ||
| xetile.store %data, %st_tile, %mask : vector<4x8xf16>, !xetile.tile<4x8xf16, #xetile.tile_attr<scattered = true, memory_space=3>>, vector<4x8xi1> | ||
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| gpu.barrier | ||
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| // load data from slm using indices with transpose effects | ||
| %trans_base_indices = arith.constant dense<[[0, 32, 64, 96, 128, 160, 192, 224], | ||
| [1, 33, 65, 97, 129, 161, 193, 225], | ||
| [2, 34, 66, 98, 130, 162, 194, 226], | ||
| [3, 35, 67, 99, 131, 163, 195, 227]]>: vector<4x8xindex> | ||
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| %trans_off_x = arith.muli %tid_x, %c256 : index | ||
| %trans_off_y = arith.muli %tid_y, %c4 : index | ||
| %trans_off = arith.addi %trans_off_x, %trans_off_y : index | ||
| %trans_offsets = vector.splat %trans_off: vector<4x8xindex> | ||
| %trans_indices = arith.addi %trans_base_indices, %trans_offsets : vector<4x8xindex> | ||
| %ld_tile = xetile.init_tile %cast, %trans_indices : memref<1024xf16, 3>, vector<4x8xindex> -> !xetile.tile<4x8xf16, #xetile.tile_attr<scattered = true, memory_space=3>> | ||
| %d = xetile.load %ld_tile, %mask : !xetile.tile<4x8xf16, #xetile.tile_attr<scattered = true, memory_space=3>>, vector<4x8xi1> -> vector<4x8xf16> | ||
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| %b_tile = xetile.init_tile %B[%off_y, %off_x] : memref<32x32xf16> -> !xetile.tile<4x8xf16> | ||
| xetile.store_tile %d, %b_tile: vector<4x8xf16>, !xetile.tile<4x8xf16> | ||
| gpu.return | ||
| } | ||
| } | ||
| func.func @main() attributes {llvm.emit_c_interface} { | ||
| %c0 = arith.constant 0 : index | ||
| %c1 = arith.constant 1 : index | ||
| %c32 = arith.constant 32 : index | ||
| %cf_0 = arith.constant 0.0 : bf16 | ||
| %cf_1 = arith.constant 1.0 : bf16 | ||
| %A = memref.alloc() : memref<32x32xf16> | ||
| %Ref = memref.alloc() : memref<32x32xf32> | ||
| // intialize matrix A ; | ||
| scf.for %i = %c0 to %c32 step %c1 { | ||
| scf.for %j = %c0 to %c32 step %c1 { | ||
| %m = arith.muli %i, %c32 : index | ||
| %a = arith.addi %m, %j : index | ||
| %v = index.castu %a : index to i16 | ||
| %val = arith.uitofp %v : i16 to f16 | ||
| memref.store %val, %A[%i, %j] : memref<32x32xf16> | ||
| %v32 = index.castu %a : index to i32 | ||
| %val32 = arith.uitofp %v32 : i32 to f32 | ||
| memref.store %val32, %Ref[%j, %i] : memref<32x32xf32> | ||
| } | ||
| } | ||
| %B = call @test(%A) : (memref<32x32xf16>) -> memref<32x32xf16> | ||
| %cast = memref.cast %B : memref<32x32xf16> to memref<*xf16> | ||
| %Ref_cast = memref.cast %Ref : memref<32x32xf32> to memref<*xf32> | ||
| //CHECK: [ALLCLOSE: TRUE] | ||
| call @printAllcloseF16(%cast, %Ref_cast) : (memref<*xf16>, memref<*xf32>) -> () | ||
| memref.dealloc %A : memref<32x32xf16> | ||
| memref.dealloc %Ref : memref<32x32xf32> | ||
| return | ||
| } | ||
| func.func private @printMemrefF16(memref<*xf16>) attributes {llvm.emit_c_interface} | ||
| func.func private @printAllcloseF16(memref<*xf16>, memref<*xf32>) attributes {llvm.emit_c_interface} | ||
| } |