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Release DLA1.2.0 compiler source code Signed-off-by: Prashant Gaikwad <[email protected]> Signed-off-by: Mitch Harwell <[email protected]> Signed-off-by: Gunjan Mehta <[email protected]> Signed-off-by: Ken Adams <[email protected]> Signed-off-by: Arvind M <[email protected]>
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| # NVDLA Roadmap | ||
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| ### DLA 1.3.0 | ||
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| - HW Multibatch for FC layers | ||
| - Multi-input network support | ||
| - Support different precision and format for input tensors | ||
| - Buffer pre-registration | ||
| - INT8 deconvolution | ||
| - Deconvolution optmization | ||
| - Support deconvolution with stride > 32 | ||
| - INT8 group convolution | ||
| - Depthwise convolution optmization | ||
| - ReLU-N | ||
| - Machine Translation Layer (MTL) | ||
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| Note: APIs are expected to change in DLA1.3.0 | ||
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| ### Future | ||
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| - Memory optimzations | ||
| - ONNX | ||
| - Sample application for accuracy | ||
| - Sample application for object detection | ||
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| /* | ||
| * Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved. | ||
| * | ||
| * Redistribution and use in source and binary forms, with or without | ||
| * modification, are permitted provided that the following conditions | ||
| * are met: | ||
| * * Redistributions of source code must retain the above copyright | ||
| * notice, this list of conditions and the following disclaimer. | ||
| * * Redistributions in binary form must reproduce the above copyright | ||
| * notice, this list of conditions and the following disclaimer in the | ||
| * documentation and/or other materials provided with the distribution. | ||
| * * Neither the name of NVIDIA CORPORATION nor the names of its | ||
| * contributors may be used to endorse or promote products derived | ||
| * from this software without specific prior written permission. | ||
| * | ||
| * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY | ||
| * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | ||
| * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR | ||
| * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR | ||
| * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, | ||
| * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, | ||
| * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR | ||
| * PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY | ||
| * OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT | ||
| * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | ||
| * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | ||
| */ | ||
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| #include "main.h" | ||
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| #include "nvdla/IProfile.h" | ||
| #include "nvdla/IProfiler.h" | ||
| #include "nvdla/IWisdom.h" | ||
| #include "nvdla/INetwork.h" | ||
| #include "nvdla/ICompiler.h" | ||
| #include "nvdla/ITargetConfig.h" | ||
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| #include "ErrorMacros.h" | ||
| #include "nvdla_os_inf.h" | ||
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| NvDlaError compileProfile(const TestAppArgs* appArgs, TestInfo* i) | ||
| { | ||
| NvDlaError e = NvDlaSuccess; | ||
| std::string profileName = ""; | ||
| std::string targetConfigName = ""; | ||
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| NvDlaFileHandle file = 0; | ||
| std::string fileName = ""; | ||
| NvU8 *buffer = 0; | ||
| NvU64 size = 0; | ||
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| nvdla::ICompiler* compiler = i->wisdom->getCompiler(); | ||
| if (!compiler) | ||
| ORIGINATE_ERROR_FAIL(NvDlaError_BadParameter, "wisdom->getCompiler() failed"); | ||
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| if (!(appArgs->configtarget != "")) | ||
| ORIGINATE_ERROR_FAIL(NvDlaError_NotInitialized, "No target config found to load"); | ||
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| targetConfigName = appArgs->configtarget; | ||
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| // Determine profile | ||
| PROPAGATE_ERROR_FAIL(generateProfile(appArgs, &profileName, i)); | ||
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| // Compile | ||
| NvDlaDebugPrintf("compiling profile \"%s\"... config \"%s\"...\n", profileName.c_str(), targetConfigName.c_str()); | ||
| PROPAGATE_ERROR_FAIL(compiler->compile(profileName.c_str(), targetConfigName.c_str(), &i->compiledLoadable)); | ||
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| // Get loadable buffer and dump it into a file | ||
| PROPAGATE_ERROR_FAIL(compiler->getLoadableImageSize(profileName.c_str(), | ||
| &size)); | ||
| if (size == 0) { | ||
| ORIGINATE_ERROR_FAIL(NvDlaError_BadParameter, | ||
| "Invalid size for a loadable"); | ||
| } | ||
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| buffer = (NvU8 *) NvDlaAlloc(size); | ||
| if (buffer == NULL) { | ||
| ORIGINATE_ERROR_FAIL(NvDlaError_InsufficientMemory, | ||
| "Failed to allocate buffer for loadable"); | ||
| } | ||
| PROPAGATE_ERROR_FAIL(compiler->getLoadableImage(profileName.c_str(), | ||
| buffer)); | ||
| fileName = profileName + ".nvdla"; | ||
| PROPAGATE_ERROR_FAIL(NvDlaFopen(fileName.c_str(), NVDLA_OPEN_WRITE, &file)); | ||
| PROPAGATE_ERROR_FAIL(NvDlaFwrite(file, buffer, size)); | ||
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| fail: | ||
| NvDlaFclose(file); | ||
| if (buffer != NULL) | ||
| NvDlaFree(buffer); | ||
| return e; | ||
| } | ||
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| NvDlaError compile(const TestAppArgs* appArgs, TestInfo* i) | ||
| { | ||
| NvDlaError e = NvDlaSuccess; | ||
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| i->compiledLoadable = 0; | ||
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| NvDlaDebugPrintf("creating new wisdom context...\n"); | ||
| i->wisdom = nvdla::createWisdom(); | ||
| if (!i->wisdom) | ||
| ORIGINATE_ERROR_FAIL(NvDlaError_BadParameter, "createWisdom() failed"); | ||
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| NvDlaDebugPrintf("opening wisdom context...\n"); | ||
| if (!i->wisdom->open(i->wisdomPath)) | ||
| ORIGINATE_ERROR_FAIL(NvDlaError_BadParameter, "wisdom->open() failed to open: \"%s\"", i->wisdomPath.c_str()); | ||
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| // Compile | ||
| PROPAGATE_ERROR_FAIL(compileProfile(appArgs, i)); | ||
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| NvDlaDebugPrintf("closing wisdom context...\n"); | ||
| i->wisdom->close(); | ||
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| fail: | ||
| if (i->wisdom != NULL) { | ||
| nvdla::destroyWisdom(i->wisdom); | ||
| i->wisdom = NULL; | ||
| } | ||
| return e; | ||
| } |
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