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f5ac3ee359
* chore(copyright): update copyright header for tile_engine directory * chore(copyright): update copyright header for script directory * chore(copyright): update copyright header for test_data directory * chore(copyright): update copyright header for python directory * chore(copyright): update copyright header for profiler directory * chore(copyright): update copyright header for library directory * chore(copyright): update copyright header for include directory
78 lines
2.5 KiB
C++
78 lines
2.5 KiB
C++
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#pragma once
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#include "ck/tensor_description/tensor_descriptor.hpp"
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template <typename... InDesc,
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typename... WeiDesc,
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typename ConvStrides,
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typename ConvDilations,
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typename LeftPads,
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typename RightPads>
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constexpr auto get_convolution_output_default_4d_tensor_descriptor(
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const ck::TensorDescriptor<InDesc...>& in_desc,
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const ck::TensorDescriptor<WeiDesc...>& wei_desc,
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const ConvStrides& conv_strides,
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const ConvDilations conv_dilations,
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const LeftPads& left_pads,
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const RightPads& right_pads)
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{
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using namespace ck;
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constexpr auto I0 = Number<0>{};
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constexpr auto I1 = Number<1>{};
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constexpr auto I2 = Number<2>{};
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constexpr auto I3 = Number<3>{};
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assert(in_desc.GetNumOfDimension() == 4);
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assert(wei_desc.GetNumOfDimension() == 4);
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assert(in_desc.GetLength(I1) == wei_desc.GetLength(I1));
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const auto N = in_desc.GetLength(I0);
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const auto Hi = in_desc.GetLength(I2);
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const auto Wi = in_desc.GetLength(I3);
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const auto K = wei_desc.GetLength(I0);
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const auto Y = wei_desc.GetLength(I2);
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const auto X = wei_desc.GetLength(I3);
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const auto LeftPadH = left_pads[I0];
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const auto LeftPadW = left_pads[I1];
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const auto RightPadH = right_pads[I0];
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const auto RightPadW = right_pads[I1];
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const auto YEff = (Y - I1) * conv_dilations[I0] + I1;
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const auto XEff = (X - I1) * conv_dilations[I1] + I1;
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const auto Ho = (Hi + LeftPadH + RightPadH - YEff) / conv_strides[I0] + I1;
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const auto Wo = (Wi + LeftPadW + RightPadW - XEff) / conv_strides[I1] + I1;
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return make_naive_tensor_descriptor_packed(make_tuple(N, K, Ho, Wo));
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}
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template <class InDesc, class WeiDesc, class OutDesc>
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constexpr std::size_t
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calculate_convolution_flops(const InDesc&, const WeiDesc& wei_desc, const OutDesc& out_desc)
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{
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using namespace ck;
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constexpr auto I0 = Number<0>{};
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constexpr auto I1 = Number<1>{};
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constexpr auto I2 = Number<2>{};
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constexpr auto I3 = Number<3>{};
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const index_t N = out_desc.GetLength(I0);
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const index_t K = out_desc.GetLength(I1);
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const index_t Ho = out_desc.GetLength(I2);
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const index_t Wo = out_desc.GetLength(I3);
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const index_t C = wei_desc.GetLength(I1);
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const index_t Y = wei_desc.GetLength(I2);
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const index_t X = wei_desc.GetLength(I3);
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return std::size_t(2) * N * K * Ho * Wo * C * Y * X;
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}
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