103 lines
4.2 KiB
Plaintext
103 lines
4.2 KiB
Plaintext
/***************************************************************************************************
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* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without modification, are permitted
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* provided that the following conditions are met:
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* * Redistributions of source code must retain the above copyright notice, this list of
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* conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright notice, this list of
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* conditions and the following disclaimer in the documentation and/or other materials
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* provided with the distribution.
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* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
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* to endorse or promote products derived from this software without specific prior written
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* permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
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* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
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* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
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* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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* STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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#include "b2b_conv2d_fprop_implicit_gemm_s8ncxhwx_s8cxrskx_s8ncxhwx_tensor_op_s32_sm75.h"
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#include "b2b_conv2d_fprop_implicit_gemm_s8ncxhwx_s8cxrskx_s8ncxhwx_tensor_op_s32_sm80.h"
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#include "b2b_conv2d_fprop_implicit_gemm_f16nhwc_f16nhwc_f16nhwc_tensor_op_f16_sm75.h"
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#include "b2b_conv2d_fprop_implicit_gemm_f16nhwc_f16nhwc_f16nhwc_tensor_op_f16_sm80.h"
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int run() {
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cudaDeviceProp props;
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cudaError_t error = cudaGetDeviceProperties(&props, 0);
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if (error != cudaSuccess) {
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std::cerr << "cudaGetDeviceProperties() returned an error: " << cudaGetErrorString(error) << std::endl;
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return -1;
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}
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if (!(props.major * 10 + props.minor >= 75)) {
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std::cerr << "Turing Tensor Ops must be run on a machine with compute capability at least 75."
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<< std::endl;
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// Returning zero so this test passes on older Toolkits. Its actions are no-op.
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return 0;
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}
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#if defined(CUTLASS_ARCH_MMA_SM80_SUPPORTED)
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std::cout << "Running on SM80" << std::endl;
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run_nonfused_conv2d_fprop_optimized_f16_sm80();
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run_fused_conv2d_fprop_optimized_f16_sm80();
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run_nonfused_conv2d_fprop_optimized_s8_sm80();
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run_fused_conv2d_fprop_optimized_s8_sm80();
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#elif defined(CUTLASS_ARCH_MMA_SM75_SUPPORTED)
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std::cout << "Running on SM75" << std::endl;
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run_nonfused_conv2d_fprop_optimized_f16_sm75();
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run_fused_conv2d_fprop_optimized_f16_sm75();
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run_nonfused_conv2d_fprop_optimized_s8_sm75();
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run_fused_conv2d_fprop_optimized_s8_sm75();
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#endif
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return 0;
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}
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int main() {
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bool notSupported = false;
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// Turing Tensor Core operations exposed with mma.sync are first available in CUDA 10.2.
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//
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// CUTLASS must be compiled with CUDA 10.2 Toolkit to run these examples.
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if (!(__CUDACC_VER_MAJOR__ > 10 || (__CUDACC_VER_MAJOR__ == 10 && __CUDACC_VER_MINOR__ >= 2))) {
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std::cerr << "Tensor Core operations used in this example must be compiled with CUDA 10.2 Toolkit or later." << std::endl;
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notSupported = true;
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}
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cudaDeviceProp props;
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cudaError_t error = cudaGetDeviceProperties(&props, 0);
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if (error != cudaSuccess) {
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std::cerr << "cudaGetDeviceProperties() returned an error: " << cudaGetErrorString(error) << std::endl;
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return -1;
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}
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if (!(props.major * 10 + props.minor >= 75)) {
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std::cerr << "Tensor Ops used in this example must be run on a machine with compute capability at least 75."
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<< std::endl;
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notSupported = true;
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}
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if (notSupported) {
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// Returning zero so this test passes on older Toolkits. Its actions are no-op.
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return 0;
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}
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return run();
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}
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