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[CK_TILE] Image to Column kernel (#1532)
* [CK_TILE] Image to Column kernel * Fixes * Vector loads and stores * Fixes * Fixes * change test dir name
This commit is contained in:
Bartłomiej Kocot
283
include/ck_tile/host/convolution_parameter.hpp
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283
include/ck_tile/host/convolution_parameter.hpp
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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#include <cstdlib>
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#include <numeric>
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#include <iterator>
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#include <vector>
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namespace ck_tile {
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namespace conv {
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struct ConvParam
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{
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ConvParam();
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ConvParam(ck_tile::index_t n_dim,
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ck_tile::index_t group_count,
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ck_tile::index_t n_batch,
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ck_tile::index_t n_out_channels,
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ck_tile::index_t n_in_channels,
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const std::vector<ck_tile::index_t>& filters_len,
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const std::vector<ck_tile::index_t>& input_len,
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const std::vector<ck_tile::index_t>& strides,
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const std::vector<ck_tile::index_t>& dilations,
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const std::vector<ck_tile::index_t>& left_pads,
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const std::vector<ck_tile::index_t>& right_pads)
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: num_dim_spatial_(static_cast<ck_tile::long_index_t>(n_dim)),
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G_(static_cast<ck_tile::long_index_t>(group_count)),
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N_(static_cast<ck_tile::long_index_t>(n_batch)),
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K_(static_cast<ck_tile::long_index_t>(n_out_channels)),
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C_(static_cast<ck_tile::long_index_t>(n_in_channels)),
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filter_spatial_lengths_(num_dim_spatial_),
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input_spatial_lengths_(num_dim_spatial_),
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output_spatial_lengths_(num_dim_spatial_),
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conv_filter_strides_(num_dim_spatial_),
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conv_filter_dilations_(num_dim_spatial_),
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input_left_pads_(num_dim_spatial_),
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input_right_pads_(num_dim_spatial_)
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{
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if(static_cast<ck_tile::index_t>(filter_spatial_lengths_.size()) != num_dim_spatial_ ||
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static_cast<ck_tile::index_t>(input_spatial_lengths_.size()) != num_dim_spatial_ ||
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static_cast<ck_tile::index_t>(conv_filter_strides_.size()) != num_dim_spatial_ ||
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static_cast<ck_tile::index_t>(conv_filter_dilations_.size()) != num_dim_spatial_ ||
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static_cast<ck_tile::index_t>(input_left_pads_.size()) != num_dim_spatial_ ||
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static_cast<ck_tile::index_t>(input_right_pads_.size()) != num_dim_spatial_)
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{
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throw(std::runtime_error(
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"ConvParam::ConvParam: "
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"parameter size is different from number of declared dimensions!"));
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}
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for(ck_tile::index_t i = 0; i < num_dim_spatial_; ++i)
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{
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filter_spatial_lengths_[i] = static_cast<ck_tile::long_index_t>(filters_len[i]);
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input_spatial_lengths_[i] = static_cast<ck_tile::long_index_t>(input_len[i]);
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conv_filter_strides_[i] = static_cast<ck_tile::long_index_t>(strides[i]);
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conv_filter_dilations_[i] = static_cast<ck_tile::long_index_t>(dilations[i]);
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input_left_pads_[i] = static_cast<ck_tile::long_index_t>(left_pads[i]);
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input_right_pads_[i] = static_cast<ck_tile::long_index_t>(right_pads[i]);
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// XEff = (X - 1) * conv_dilation_w + 1;
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// Wo = (Wi + in_left_pad_w + in_right_pad_w - XEff) / conv_stride_w + 1;
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const ck_tile::long_index_t x_eff =
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(filter_spatial_lengths_[i] - 1) * conv_filter_dilations_[i] + 1;
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output_spatial_lengths_[i] =
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(input_spatial_lengths_[i] + input_left_pads_[i] + input_right_pads_[i] - x_eff) /
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conv_filter_strides_[i] +
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1;
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}
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}
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ConvParam(ck_tile::long_index_t n_dim,
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ck_tile::long_index_t group_count,
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ck_tile::long_index_t n_batch,
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ck_tile::long_index_t n_out_channels,
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ck_tile::long_index_t n_in_channels,
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const std::vector<ck_tile::long_index_t>& filters_len,
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const std::vector<ck_tile::long_index_t>& input_len,
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const std::vector<ck_tile::long_index_t>& strides,
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const std::vector<ck_tile::long_index_t>& dilations,
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const std::vector<ck_tile::long_index_t>& left_pads,
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const std::vector<ck_tile::long_index_t>& right_pads)
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: num_dim_spatial_(n_dim),
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G_(group_count),
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N_(n_batch),
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K_(n_out_channels),
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C_(n_in_channels),
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filter_spatial_lengths_(filters_len),
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input_spatial_lengths_(input_len),
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output_spatial_lengths_(num_dim_spatial_),
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conv_filter_strides_(strides),
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conv_filter_dilations_(dilations),
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input_left_pads_(left_pads),
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input_right_pads_(right_pads)
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{
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if(static_cast<ck_tile::index_t>(filter_spatial_lengths_.size()) != num_dim_spatial_ ||
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static_cast<ck_tile::index_t>(input_spatial_lengths_.size()) != num_dim_spatial_ ||
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static_cast<ck_tile::index_t>(conv_filter_strides_.size()) != num_dim_spatial_ ||
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static_cast<ck_tile::index_t>(conv_filter_dilations_.size()) != num_dim_spatial_ ||
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static_cast<ck_tile::index_t>(input_left_pads_.size()) != num_dim_spatial_ ||
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static_cast<ck_tile::index_t>(input_right_pads_.size()) != num_dim_spatial_)
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{
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throw(std::runtime_error(
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"ConvParam::ConvParam: "
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"parameter size is different from number of declared dimensions!"));
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}
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for(ck_tile::index_t i = 0; i < num_dim_spatial_; ++i)
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{
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// XEff = (X - 1) * conv_dilation_w + 1;
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// Wo = (Wi + in_left_pad_w + in_right_pad_w - XEff) / conv_stride_w + 1;
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const ck_tile::long_index_t x_eff =
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(filter_spatial_lengths_[i] - 1) * conv_filter_dilations_[i] + 1;
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output_spatial_lengths_[i] =
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(input_spatial_lengths_[i] + input_left_pads_[i] + input_right_pads_[i] - x_eff) /
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conv_filter_strides_[i] +
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1;
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}
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}
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ck_tile::long_index_t num_dim_spatial_;
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ck_tile::long_index_t G_;
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ck_tile::long_index_t N_;
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ck_tile::long_index_t K_;
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ck_tile::long_index_t C_;
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std::vector<ck_tile::long_index_t> filter_spatial_lengths_;
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std::vector<ck_tile::long_index_t> input_spatial_lengths_;
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std::vector<ck_tile::long_index_t> output_spatial_lengths_;
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std::vector<ck_tile::long_index_t> conv_filter_strides_;
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std::vector<ck_tile::long_index_t> conv_filter_dilations_;
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std::vector<ck_tile::long_index_t> input_left_pads_;
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std::vector<ck_tile::long_index_t> input_right_pads_;
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std::vector<ck_tile::long_index_t> GetOutputSpatialLengths() const
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{
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return output_spatial_lengths_;
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}
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std::size_t GetFlops() const
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{
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// 2 * G * N * K * C * <output spatial lengths product> * <filter spatial lengths product>
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return static_cast<std::size_t>(2) * G_ * N_ * K_ * C_ *
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std::accumulate(std::begin(output_spatial_lengths_),
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std::next(std::begin(output_spatial_lengths_), num_dim_spatial_),
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1,
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std::multiplies<>()) *
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std::accumulate(std::begin(filter_spatial_lengths_),
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std::next(std::begin(filter_spatial_lengths_), num_dim_spatial_),
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1,
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std::multiplies<>());
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}
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template <typename InDataType>
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std::size_t GetInputByte() const
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{
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// sizeof(InDataType) * (G * N * C * <input spatial lengths product>) +
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return sizeof(InDataType) *
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(G_ * N_ * C_ *
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std::accumulate(std::begin(input_spatial_lengths_),
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std::next(std::begin(input_spatial_lengths_), num_dim_spatial_),
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1,
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std::multiplies<>()));
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}
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template <typename WeiDataType>
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std::size_t GetWeightByte() const
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{
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// sizeof(WeiDataType) * (G * K * C * <filter spatial lengths product>) +
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return sizeof(WeiDataType) *
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(G_ * K_ * C_ *
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std::accumulate(std::begin(filter_spatial_lengths_),
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std::next(std::begin(filter_spatial_lengths_), num_dim_spatial_),
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1,
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std::multiplies<>()));
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}
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template <typename OutDataType>
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std::size_t GetOutputByte() const
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{
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// sizeof(OutDataType) * (G * N * K * <output spatial lengths product>);
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return sizeof(OutDataType) * (G_ * N_ * K_ *
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std::accumulate(std::begin(output_spatial_lengths_),
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std::end(output_spatial_lengths_),
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static_cast<std::size_t>(1),
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std::multiplies<std::size_t>()));
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}
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template <typename InDataType, typename WeiDataType, typename OutDataType>
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std::size_t GetByte() const
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{
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return GetInputByte<InDataType>() + GetWeightByte<WeiDataType>() +
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GetOutputByte<OutDataType>();
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}
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};
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ConvParam::ConvParam()
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: ConvParam::ConvParam(2, 1, 128, 256, 192, {3, 3}, {71, 71}, {2, 2}, {1, 1}, {1, 1}, {1, 1})
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{
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}
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CK_TILE_HOST std::string get_conv_param_parser_helper_msg()
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{
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std::string msg;
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msg += "Following arguments (depending on number of spatial dims):\n"
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" Number of spatial dimensions (1=Conv1d, 2=Conv2d, 3=Conv3d)\n"
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" G, N, K, C, \n"
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" <filter spatial dimensions>, (ie Y, X for 2D)\n"
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" <input image spatial dimensions>, (ie Hi, Wi for 2D)\n"
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" <strides>, (ie Sy, Sx for 2D)\n"
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" <dilations>, (ie Dy, Dx for 2D)\n"
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" <left padding>, (ie LeftPy, LeftPx for 2D)\n"
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" <right padding>, (ie RightPy, RightPx for 2D)\n";
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return msg;
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}
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CK_TILE_HOST ck_tile::conv::ConvParam
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parse_conv_param(int num_dim_spatial, int arg_idx, char* const argv[])
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{
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const ck_tile::long_index_t G = std::stol(argv[arg_idx++]);
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const ck_tile::long_index_t N = std::stol(argv[arg_idx++]);
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const ck_tile::long_index_t K = std::stol(argv[arg_idx++]);
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const ck_tile::long_index_t C = std::stol(argv[arg_idx++]);
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std::vector<ck_tile::long_index_t> filter_spatial_lengths(num_dim_spatial);
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std::vector<ck_tile::long_index_t> input_spatial_lengths(num_dim_spatial);
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std::vector<ck_tile::long_index_t> conv_filter_strides(num_dim_spatial);
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std::vector<ck_tile::long_index_t> conv_filter_dilations(num_dim_spatial);
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std::vector<ck_tile::long_index_t> input_left_pads(num_dim_spatial);
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std::vector<ck_tile::long_index_t> input_right_pads(num_dim_spatial);
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for(int i = 0; i < num_dim_spatial; ++i)
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{
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filter_spatial_lengths[i] = std::stol(argv[arg_idx++]);
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}
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for(int i = 0; i < num_dim_spatial; ++i)
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{
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input_spatial_lengths[i] = std::stol(argv[arg_idx++]);
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}
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for(int i = 0; i < num_dim_spatial; ++i)
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{
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conv_filter_strides[i] = std::stol(argv[arg_idx++]);
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}
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for(int i = 0; i < num_dim_spatial; ++i)
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{
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conv_filter_dilations[i] = std::stol(argv[arg_idx++]);
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}
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for(int i = 0; i < num_dim_spatial; ++i)
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{
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input_left_pads[i] = std::stol(argv[arg_idx++]);
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}
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for(int i = 0; i < num_dim_spatial; ++i)
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{
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input_right_pads[i] = std::stol(argv[arg_idx++]);
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}
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return ck_tile::conv::ConvParam{num_dim_spatial,
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G,
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N,
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K,
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C,
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filter_spatial_lengths,
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input_spatial_lengths,
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conv_filter_strides,
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conv_filter_dilations,
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input_left_pads,
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input_right_pads};
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}
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} // namespace conv
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} // namespace ck_tile
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