/*************************************************************************************************** * Copyright (c) 2017-2021, 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 the 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 AND CONTRIBUTORS "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 NVIDIA CORPORATION 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 TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * **************************************************************************************************/ /*! \file \brief Tests for device-wide Implicit GEMM interface */ #include "../../common/cutlass_unit_test.h" #include "cutlass/cutlass.h" #include "cutlass/epilogue/thread/linear_combination_with_elementwise.h" #include "cutlass/conv/kernel/default_conv2d_fprop_with_reduction.h" #include "cutlass/conv/device/implicit_gemm_convolution.h" #include "conv2d_with_reduction_testbed.h" #if defined(CUTLASS_ARCH_MMA_SM75_SUPPORTED) TEST(SM75_Device_Conv2d_Fprop_With_Reduction_Analytic_ImplicitGemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32, 128x128_32x2_64x64x32) { /// Conv operation element types for the Gemm equivalent (ImplicitGemm) using ElementA = cutlass::half_t; using ElementB = cutlass::half_t; using ElementC = cutlass::half_t; using ElementAccumulator = float; using ElementCompute = float; using EpilogueOutputOp = cutlass::epilogue::thread::LinearCombinationWithElementwise< float, float, cutlass::half_t, cutlass::half_t, 8 >; /// Device-level Conv2d instance using Conv2dFpropKernel = typename cutlass::conv::kernel::DefaultConv2dFpropWithReduction< ElementA, cutlass::layout::TensorNHWC, ElementB, cutlass::layout::TensorNHWC, ElementC, cutlass::layout::TensorNHWC, ElementAccumulator, cutlass::arch::OpClassTensorOp, cutlass::arch::Sm75, cutlass::gemm::GemmShape<128, 128, 32>, cutlass::gemm::GemmShape<64, 64, 32>, cutlass::gemm::GemmShape<16, 8, 8>, EpilogueOutputOp, cutlass::plus, cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>, 2, cutlass::arch::OpMultiplyAdd, cutlass::conv::IteratorAlgorithm::kAnalytic >::Kernel; using Conv2dFprop = cutlass::conv::device::ImplicitGemmConvolution; /// Run all unit test sizes with device-level Conv2d instance EXPECT_TRUE(test::conv::device::TestAllConv2dWithReduction()); } //////////////////////////////////////////////////////////////////////////////// #endif // CUTLASS_ARCH_MMA_SM75_SUPPORTED ////////////////////////////////////////////////////////////////////////////////