mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-07-11 09:40:51 +00:00
b5e2f26808
* Wrap ck host utitlies in CK namespace.
The CK and CK-Tile source code bases are incompatible because CK is not properly using namespaces everywhere. In particular, we need to put hip_check_error in the ck namespace.
Move all functions in include/ck_/host_utility that were in global namespace into the ck namespace.
There may be additional namespace problems like this, and it's possible we'll have namespace clashes. But it is good design to properly guard our to code bases (CK and CKTile) so that they can both coexist. Moreover, estabilishing this compatiblity is essential if we are going to allow the builder to instantiate kernels from either template library.
* Add using declarations to test code.
After moving some of the untils into the ck namespace, most examples and a few tests had to be updated to recognize the new namespace declarations. We add using declarations to individual compute units for functions that were previously in the global namespace.
* Add using declarations to client examples.
[ROCm/composable_kernel commit: ad57f6ef0b]
230 lines
9.3 KiB
C++
230 lines
9.3 KiB
C++
// Copyright (C) Advanced Micro Devices, Inc., or its affiliates.
|
|
// SPDX-License-Identifier: MIT
|
|
|
|
#include "ck/host_utility/io.hpp"
|
|
|
|
#include "ck/library/utility/convolution_parameter.hpp"
|
|
|
|
namespace ck {
|
|
namespace utils {
|
|
namespace conv {
|
|
|
|
ConvParam::ConvParam(ck::index_t n_dim,
|
|
ck::index_t group_count,
|
|
ck::index_t n_batch,
|
|
ck::index_t n_out_channels,
|
|
ck::index_t n_in_channels,
|
|
const std::vector<ck::index_t>& filters_len,
|
|
const std::vector<ck::index_t>& input_len,
|
|
const std::vector<ck::index_t>& strides,
|
|
const std::vector<ck::index_t>& dilations,
|
|
const std::vector<ck::index_t>& left_pads,
|
|
const std::vector<ck::index_t>& right_pads)
|
|
: num_dim_spatial_(static_cast<ck::long_index_t>(n_dim)),
|
|
G_(static_cast<ck::long_index_t>(group_count)),
|
|
N_(static_cast<ck::long_index_t>(n_batch)),
|
|
K_(static_cast<ck::long_index_t>(n_out_channels)),
|
|
C_(static_cast<ck::long_index_t>(n_in_channels)),
|
|
filter_spatial_lengths_(num_dim_spatial_),
|
|
input_spatial_lengths_(num_dim_spatial_),
|
|
output_spatial_lengths_(num_dim_spatial_),
|
|
conv_filter_strides_(num_dim_spatial_),
|
|
conv_filter_dilations_(num_dim_spatial_),
|
|
input_left_pads_(num_dim_spatial_),
|
|
input_right_pads_(num_dim_spatial_)
|
|
{
|
|
if(static_cast<ck::index_t>(filter_spatial_lengths_.size()) != num_dim_spatial_ ||
|
|
static_cast<ck::index_t>(input_spatial_lengths_.size()) != num_dim_spatial_ ||
|
|
static_cast<ck::index_t>(conv_filter_strides_.size()) != num_dim_spatial_ ||
|
|
static_cast<ck::index_t>(conv_filter_dilations_.size()) != num_dim_spatial_ ||
|
|
static_cast<ck::index_t>(input_left_pads_.size()) != num_dim_spatial_ ||
|
|
static_cast<ck::index_t>(input_right_pads_.size()) != num_dim_spatial_)
|
|
{
|
|
throw(
|
|
std::runtime_error("ConvParam::ConvParam: "
|
|
"parameter size is different from number of declared dimensions!"));
|
|
}
|
|
|
|
for(ck::index_t i = 0; i < num_dim_spatial_; ++i)
|
|
{
|
|
filter_spatial_lengths_[i] = static_cast<ck::long_index_t>(filters_len[i]);
|
|
input_spatial_lengths_[i] = static_cast<ck::long_index_t>(input_len[i]);
|
|
conv_filter_strides_[i] = static_cast<ck::long_index_t>(strides[i]);
|
|
conv_filter_dilations_[i] = static_cast<ck::long_index_t>(dilations[i]);
|
|
input_left_pads_[i] = static_cast<ck::long_index_t>(left_pads[i]);
|
|
input_right_pads_[i] = static_cast<ck::long_index_t>(right_pads[i]);
|
|
|
|
// XEff = (X - 1) * conv_dilation_w + 1;
|
|
// Wo = (Wi + in_left_pad_w + in_right_pad_w - XEff) / conv_stride_w + 1;
|
|
const ck::long_index_t x_eff =
|
|
(filter_spatial_lengths_[i] - 1) * conv_filter_dilations_[i] + 1;
|
|
|
|
output_spatial_lengths_[i] =
|
|
(input_spatial_lengths_[i] + input_left_pads_[i] + input_right_pads_[i] - x_eff) /
|
|
conv_filter_strides_[i] +
|
|
1;
|
|
}
|
|
}
|
|
|
|
ConvParam::ConvParam(ck::long_index_t n_dim,
|
|
ck::long_index_t group_count,
|
|
ck::long_index_t n_batch,
|
|
ck::long_index_t n_out_channels,
|
|
ck::long_index_t n_in_channels,
|
|
const std::vector<ck::long_index_t>& filters_len,
|
|
const std::vector<ck::long_index_t>& input_len,
|
|
const std::vector<ck::long_index_t>& strides,
|
|
const std::vector<ck::long_index_t>& dilations,
|
|
const std::vector<ck::long_index_t>& left_pads,
|
|
const std::vector<ck::long_index_t>& right_pads)
|
|
: num_dim_spatial_(n_dim),
|
|
G_(group_count),
|
|
N_(n_batch),
|
|
K_(n_out_channels),
|
|
C_(n_in_channels),
|
|
filter_spatial_lengths_(filters_len),
|
|
input_spatial_lengths_(input_len),
|
|
output_spatial_lengths_(num_dim_spatial_),
|
|
conv_filter_strides_(strides),
|
|
conv_filter_dilations_(dilations),
|
|
input_left_pads_(left_pads),
|
|
input_right_pads_(right_pads)
|
|
{
|
|
if(static_cast<ck::index_t>(filter_spatial_lengths_.size()) != num_dim_spatial_ ||
|
|
static_cast<ck::index_t>(input_spatial_lengths_.size()) != num_dim_spatial_ ||
|
|
static_cast<ck::index_t>(conv_filter_strides_.size()) != num_dim_spatial_ ||
|
|
static_cast<ck::index_t>(conv_filter_dilations_.size()) != num_dim_spatial_ ||
|
|
static_cast<ck::index_t>(input_left_pads_.size()) != num_dim_spatial_ ||
|
|
static_cast<ck::index_t>(input_right_pads_.size()) != num_dim_spatial_)
|
|
{
|
|
throw(
|
|
std::runtime_error("ConvParam::ConvParam: "
|
|
"parameter size is different from number of declared dimensions!"));
|
|
}
|
|
|
|
for(ck::index_t i = 0; i < num_dim_spatial_; ++i)
|
|
{
|
|
// XEff = (X - 1) * conv_dilation_w + 1;
|
|
// Wo = (Wi + in_left_pad_w + in_right_pad_w - XEff) / conv_stride_w + 1;
|
|
const ck::long_index_t x_eff =
|
|
(filter_spatial_lengths_[i] - 1) * conv_filter_dilations_[i] + 1;
|
|
|
|
output_spatial_lengths_[i] =
|
|
(input_spatial_lengths_[i] + input_left_pads_[i] + input_right_pads_[i] - x_eff) /
|
|
conv_filter_strides_[i] +
|
|
1;
|
|
}
|
|
}
|
|
|
|
ConvParam::ConvParam()
|
|
: ConvParam::ConvParam(2, 1, 128, 256, 192, {3, 3}, {71, 71}, {2, 2}, {1, 1}, {1, 1}, {1, 1})
|
|
{
|
|
}
|
|
|
|
std::vector<ck::long_index_t> ConvParam::GetOutputSpatialLengths() const
|
|
{
|
|
return output_spatial_lengths_;
|
|
}
|
|
|
|
std::size_t ConvParam::GetFlops() const
|
|
{
|
|
// 2 * G * N * K * C * <output spatial lengths product> * <filter spatial lengths product>
|
|
return static_cast<std::size_t>(2) * G_ * N_ * K_ * C_ *
|
|
ck::accumulate_n<std::size_t>(
|
|
std::begin(output_spatial_lengths_), num_dim_spatial_, 1, std::multiplies<>()) *
|
|
ck::accumulate_n<std::size_t>(
|
|
std::begin(filter_spatial_lengths_), num_dim_spatial_, 1, std::multiplies<>());
|
|
}
|
|
|
|
std::string get_conv_param_parser_helper_msg()
|
|
{
|
|
std::string msg;
|
|
|
|
msg += "Following arguments (depending on number of spatial dims):\n"
|
|
" Number of spatial dimensions (1=Conv1d, 2=Conv2d, 3=Conv3d)\n"
|
|
" G, N, K, C, \n"
|
|
" <filter spatial dimensions>, (ie Y, X for 2D)\n"
|
|
" <input image spatial dimensions>, (ie Hi, Wi for 2D)\n"
|
|
" <strides>, (ie Sy, Sx for 2D)\n"
|
|
" <dilations>, (ie Dy, Dx for 2D)\n"
|
|
" <left padding>, (ie LeftPy, LeftPx for 2D)\n"
|
|
" <right padding>, (ie RightPy, RightPx for 2D)\n";
|
|
|
|
return msg;
|
|
}
|
|
|
|
ck::utils::conv::ConvParam parse_conv_param(int num_dim_spatial, int arg_idx, char* const argv[])
|
|
{
|
|
const ck::long_index_t G = std::stol(argv[arg_idx++]);
|
|
const ck::long_index_t N = std::stol(argv[arg_idx++]);
|
|
const ck::long_index_t K = std::stol(argv[arg_idx++]);
|
|
const ck::long_index_t C = std::stol(argv[arg_idx++]);
|
|
|
|
std::vector<ck::long_index_t> filter_spatial_lengths(num_dim_spatial);
|
|
std::vector<ck::long_index_t> input_spatial_lengths(num_dim_spatial);
|
|
std::vector<ck::long_index_t> conv_filter_strides(num_dim_spatial);
|
|
std::vector<ck::long_index_t> conv_filter_dilations(num_dim_spatial);
|
|
std::vector<ck::long_index_t> input_left_pads(num_dim_spatial);
|
|
std::vector<ck::long_index_t> input_right_pads(num_dim_spatial);
|
|
|
|
for(int i = 0; i < num_dim_spatial; ++i)
|
|
{
|
|
filter_spatial_lengths[i] = std::stol(argv[arg_idx++]);
|
|
}
|
|
|
|
for(int i = 0; i < num_dim_spatial; ++i)
|
|
{
|
|
input_spatial_lengths[i] = std::stol(argv[arg_idx++]);
|
|
}
|
|
|
|
for(int i = 0; i < num_dim_spatial; ++i)
|
|
{
|
|
conv_filter_strides[i] = std::stol(argv[arg_idx++]);
|
|
}
|
|
|
|
for(int i = 0; i < num_dim_spatial; ++i)
|
|
{
|
|
conv_filter_dilations[i] = std::stol(argv[arg_idx++]);
|
|
}
|
|
|
|
for(int i = 0; i < num_dim_spatial; ++i)
|
|
{
|
|
input_left_pads[i] = std::stol(argv[arg_idx++]);
|
|
}
|
|
|
|
for(int i = 0; i < num_dim_spatial; ++i)
|
|
{
|
|
input_right_pads[i] = std::stol(argv[arg_idx++]);
|
|
}
|
|
|
|
return ck::utils::conv::ConvParam{num_dim_spatial,
|
|
G,
|
|
N,
|
|
K,
|
|
C,
|
|
filter_spatial_lengths,
|
|
input_spatial_lengths,
|
|
conv_filter_strides,
|
|
conv_filter_dilations,
|
|
input_left_pads,
|
|
input_right_pads};
|
|
}
|
|
} // namespace conv
|
|
} // namespace utils
|
|
} // namespace ck
|
|
|
|
std::ostream& operator<<(std::ostream& os, const ck::utils::conv::ConvParam& p)
|
|
{
|
|
using ck::operator<<;
|
|
os << "ConvParam {" << "\nnum_dim_spatial: " << p.num_dim_spatial_ << "\nG: " << p.G_
|
|
<< "\nN: " << p.N_ << "\nK: " << p.K_ << "\nC: " << p.C_
|
|
<< "\nfilter_spatial_lengths: " << p.filter_spatial_lengths_
|
|
<< "\ninput_spatial_lengths: " << p.input_spatial_lengths_
|
|
<< "\nconv_filter_strides: " << p.conv_filter_strides_
|
|
<< "\nconv_filter_dilations: " << p.conv_filter_dilations_
|
|
<< "\ninput_left_pads: " << p.input_left_pads_
|
|
<< "\ninput_right_pads: " << p.input_right_pads_ << "}\n";
|
|
|
|
return os;
|
|
}
|