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Commit 0e81cc18 authored by Chao Liu's avatar Chao Liu
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parent d84da366
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example/09_convnd_fwd/convnd_fwd_common.hpp
View file @ 0e81cc18
......@@ -15,6 +15,7 @@
#include "ck/library/utility/host_tensor.hpp"
#include "ck/library/utility/host_tensor_generator.hpp"
#include "ck/library/utility/convolution_parameter.hpp"
#include "ck/library/utility/convolution_host_tensor_descriptor_helper.hpp"
#include "ck/library/reference_tensor_operation/cpu/reference_conv_fwd.hpp"
void print_helper_msg()
......@@ -110,75 +111,9 @@ int run_conv_fwd(bool do_verification,
const WeiElementOp& wei_element_op,
const OutElementOp& out_element_op)
{
// make host tensor descritpor
auto f_nhwc_host_tensor_descriptor =
[](ck::index_t n, ck::index_t c, std::vector<ck::index_t> spatial_lengths) {
std::vector<std::size_t> nhwc_lengths{static_cast<std::size_t>(n),
static_cast<std::size_t>(c)};
nhwc_lengths.insert(
nhwc_lengths.begin() + 1, spatial_lengths.begin(), spatial_lengths.end());
return HostTensorDescriptor(nhwc_lengths);
};
auto f_nchw_host_tensor_descriptor =
[](ck::index_t n, ck::index_t c, std::vector<ck::index_t> spatial_lengths) {
std::vector<std::size_t> nchw_lengths{static_cast<std::size_t>(n),
static_cast<std::size_t>(c)};
nchw_lengths.insert(nchw_lengths.end(), spatial_lengths.begin(), spatial_lengths.end());
return HostTensorDescriptor(nchw_lengths);
};
HostTensorDescriptor in_desc, wei_desc, out_desc;
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(ck::is_same_v<InLayout, ck::tensor_layout::convolution::NWC> ||
ck::is_same_v<InLayout, ck::tensor_layout::convolution::NHWC> ||
ck::is_same_v<InLayout, ck::tensor_layout::convolution::NDHWC>)
{
in_desc =
f_nhwc_host_tensor_descriptor(params.N_, params.C_, params.input_spatial_lengths_);
}
else if constexpr(ck::is_same_v<InLayout, ck::tensor_layout::convolution::NCW> ||
ck::is_same_v<InLayout, ck::tensor_layout::convolution::NCHW> ||
ck::is_same_v<InLayout, ck::tensor_layout::convolution::NCDHW>)
{
in_desc =
f_nchw_host_tensor_descriptor(params.N_, params.C_, params.input_spatial_lengths_);
}
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KXC> ||
ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KYXC> ||
ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KZYXC>)
{
wei_desc =
f_nhwc_host_tensor_descriptor(params.K_, params.C_, params.filter_spatial_lengths_);
}
else if constexpr(ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KCX> ||
ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KCYX> ||
ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KCZYX>)
{
wei_desc =
f_nchw_host_tensor_descriptor(params.K_, params.C_, params.filter_spatial_lengths_);
}
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NWK> ||
ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NHWK> ||
ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NDHWK>)
{
out_desc =
f_nhwc_host_tensor_descriptor(params.N_, params.K_, params.GetOutputSpatialLengths());
}
else if constexpr(ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NKW> ||
ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NKHW> ||
ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NKDHW>)
{
out_desc =
f_nchw_host_tensor_descriptor(params.N_, params.K_, params.GetOutputSpatialLengths());
}
const auto in_desc = ck::utils::conv::get_input_host_tensor_descriptor<InLayout>(conv_param);
const auto wei_desc = ck::utils::conv::get_weight_host_tensor_descriptor<WeiLayout>(conv_param);
const auto out_desc = ck::utils::conv::get_output_host_tensor_descriptor<OutLayout>(conv_param);
Tensor<InDataType> in(in_desc);
Tensor<WeiDataType> wei(wei_desc);
......
example/17_convnd_bwd_data/convnd_bwd_data_common.hpp
View file @ 0e81cc18
......@@ -11,10 +11,11 @@
#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
#include "ck/library/utility/check_err.hpp"
#include "ck/library/utility/convolution_parameter.hpp"
#include "ck/library/utility/device_memory.hpp"
#include "ck/library/utility/host_tensor.hpp"
#include "ck/library/utility/host_tensor_generator.hpp"
#include "ck/library/utility/convolution_parameter.hpp"
#include "ck/library/utility/convolution_host_tensor_descriptor_helper.hpp"
#include "ck/library/reference_tensor_operation/cpu/reference_conv_bwd_data.hpp"
ck::tensor_operation::device::ConvParams
......@@ -105,80 +106,14 @@ template <ck::index_t NDimSpatial,
int run_conv_bwd_data(bool do_verification,
int init_method,
bool time_kernel,
const ck::tensor_operation::device::ConvParams& params,
const ck::tensor_operation::device::ConvParams& conv_param,
const InElementOp& in_element_op,
const WeiElementOp& wei_element_op,
const OutElementOp& out_element_op)
{
// make host tensor descritpor
auto f_nhwc_host_tensor_descriptor =
[](ck::index_t n, ck::index_t c, std::vector<ck::index_t> spatial_lengths) {
std::vector<std::size_t> nhwc_lengths{static_cast<std::size_t>(n),
static_cast<std::size_t>(c)};
nhwc_lengths.insert(
nhwc_lengths.begin() + 1, spatial_lengths.begin(), spatial_lengths.end());
return HostTensorDescriptor(nhwc_lengths);
};
auto f_nchw_host_tensor_descriptor =
[](ck::index_t n, ck::index_t c, std::vector<ck::index_t> spatial_lengths) {
std::vector<std::size_t> nchw_lengths{static_cast<std::size_t>(n),
static_cast<std::size_t>(c)};
nchw_lengths.insert(nchw_lengths.end(), spatial_lengths.begin(), spatial_lengths.end());
return HostTensorDescriptor(nchw_lengths);
};
HostTensorDescriptor in_desc, wei_desc, out_desc;
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(ck::is_same_v<InLayout, ck::tensor_layout::convolution::NWC> ||
ck::is_same_v<InLayout, ck::tensor_layout::convolution::NHWC> ||
ck::is_same_v<InLayout, ck::tensor_layout::convolution::NDHWC>)
{
in_desc =
f_nhwc_host_tensor_descriptor(params.N_, params.C_, params.input_spatial_lengths_);
}
else if constexpr(ck::is_same_v<InLayout, ck::tensor_layout::convolution::NCW> ||
ck::is_same_v<InLayout, ck::tensor_layout::convolution::NCHW> ||
ck::is_same_v<InLayout, ck::tensor_layout::convolution::NCDHW>)
{
in_desc =
f_nchw_host_tensor_descriptor(params.N_, params.C_, params.input_spatial_lengths_);
}
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KXC> ||
ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KYXC> ||
ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KZYXC>)
{
wei_desc =
f_nhwc_host_tensor_descriptor(params.K_, params.C_, params.filter_spatial_lengths_);
}
else if constexpr(ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KCX> ||
ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KCYX> ||
ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KCZYX>)
{
wei_desc =
f_nchw_host_tensor_descriptor(params.K_, params.C_, params.filter_spatial_lengths_);
}
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NWK> ||
ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NHWK> ||
ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NDHWK>)
{
out_desc =
f_nhwc_host_tensor_descriptor(params.N_, params.K_, params.GetOutputSpatialLengths());
}
else if constexpr(ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NKW> ||
ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NKHW> ||
ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NKDHW>)
{
out_desc =
f_nchw_host_tensor_descriptor(params.N_, params.K_, params.GetOutputSpatialLengths());
}
const auto in_desc = ck::utils::conv::get_input_host_tensor_descriptor<InLayout>(conv_param);
const auto wei_desc = ck::utils::conv::get_weight_host_tensor_descriptor<WeiLayout>(conv_param);
const auto out_desc = ck::utils::conv::get_output_host_tensor_descriptor<OutLayout>(conv_param);
Tensor<InDataType> in_host(in_desc);
Tensor<InDataType> in_device(in_desc);
......@@ -217,16 +152,16 @@ int run_conv_bwd_data(bool do_verification,
auto argument = conv.MakeArgument(static_cast<InDataType*>(in_device_buf.GetDeviceBuffer()),
static_cast<WeiDataType*>(wei_device_buf.GetDeviceBuffer()),
static_cast<OutDataType*>(out_device_buf.GetDeviceBuffer()),
params.N_,
params.K_,
params.C_,
params.input_spatial_lengths_,
params.filter_spatial_lengths_,
params.GetOutputSpatialLengths(),
params.conv_filter_strides_,
params.conv_filter_dilations_,
params.input_left_pads_,
params.input_right_pads_,
conv_param.N_,
conv_param.K_,
conv_param.C_,
conv_param.input_spatial_lengths_,
conv_param.filter_spatial_lengths_,
conv_param.GetOutputSpatialLengths(),
conv_param.conv_filter_strides_,
conv_param.conv_filter_dilations_,
conv_param.input_left_pads_,
conv_param.input_right_pads_,
in_element_op,
wei_element_op,
out_element_op);
......@@ -240,8 +175,8 @@ int run_conv_bwd_data(bool do_verification,
float ave_time = invoker.Run(argument, StreamConfig{nullptr, time_kernel});
std::size_t flop = params.GetFlops();
std::size_t num_btype = params.GetByte<InDataType, WeiDataType, OutDataType>();
std::size_t flop = conv_param.GetFlops();
std::size_t num_btype = conv_param.GetByte<InDataType, WeiDataType, OutDataType>();
float tflops = static_cast<float>(flop) / 1.E9 / ave_time;
......@@ -268,10 +203,10 @@ int run_conv_bwd_data(bool do_verification,
auto ref_argument = ref_conv.MakeArgument(in_host,
wei,
out,
params.conv_filter_strides_,
params.conv_filter_dilations_,
params.input_left_pads_,
params.input_right_pads_,
conv_param.conv_filter_strides_,
conv_param.conv_filter_dilations_,
conv_param.input_left_pads_,
conv_param.input_right_pads_,
in_element_op,
wei_element_op,
out_element_op);
......
example/20_convnd_bwd_weight/convnd_bwd_weight_common.hpp
View file @ 0e81cc18
......@@ -11,10 +11,11 @@
#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
#include "ck/library/utility/check_err.hpp"
#include "ck/library/utility/convolution_parameter.hpp"
#include "ck/library/utility/device_memory.hpp"
#include "ck/library/utility/host_tensor.hpp"
#include "ck/library/utility/host_tensor_generator.hpp"
#include "ck/library/utility/convolution_parameter.hpp"
#include "ck/library/utility/convolution_host_tensor_descriptor_helper.hpp"
#include "ck/library/reference_tensor_operation/cpu/reference_conv_bwd_weight.hpp"
void print_helper_msg()
......@@ -111,75 +112,9 @@ int run_conv_bwd_weight(bool do_verification,
const OutElementOp& out_element_op,
ck::index_t split_k)
{
// make host tensor descritpor
auto f_nhwc_host_tensor_descriptor =
[](ck::index_t n, ck::index_t c, std::vector<ck::index_t> spatial_lengths) {
std::vector<std::size_t> nhwc_lengths{static_cast<std::size_t>(n),
static_cast<std::size_t>(c)};
nhwc_lengths.insert(
nhwc_lengths.begin() + 1, spatial_lengths.begin(), spatial_lengths.end());
return HostTensorDescriptor(nhwc_lengths);
};
auto f_nchw_host_tensor_descriptor =
[](ck::index_t n, ck::index_t c, std::vector<ck::index_t> spatial_lengths) {
std::vector<std::size_t> nchw_lengths{static_cast<std::size_t>(n),
static_cast<std::size_t>(c)};
nchw_lengths.insert(nchw_lengths.end(), spatial_lengths.begin(), spatial_lengths.end());
return HostTensorDescriptor(nchw_lengths);
};
HostTensorDescriptor in_desc, wei_desc, out_desc;
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(ck::is_same_v<InLayout, ck::tensor_layout::convolution::NWC> ||
ck::is_same_v<InLayout, ck::tensor_layout::convolution::NHWC> ||
ck::is_same_v<InLayout, ck::tensor_layout::convolution::NDHWC>)
{
in_desc =
f_nhwc_host_tensor_descriptor(params.N_, params.C_, params.input_spatial_lengths_);
}
else if constexpr(ck::is_same_v<InLayout, ck::tensor_layout::convolution::NCW> ||
ck::is_same_v<InLayout, ck::tensor_layout::convolution::NCHW> ||
ck::is_same_v<InLayout, ck::tensor_layout::convolution::NCDHW>)
{
in_desc =
f_nchw_host_tensor_descriptor(params.N_, params.C_, params.input_spatial_lengths_);
}
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KXC> ||
ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KYXC> ||
ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KZYXC>)
{
wei_desc =
f_nhwc_host_tensor_descriptor(params.K_, params.C_, params.filter_spatial_lengths_);
}
else if constexpr(ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KCX> ||
ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KCYX> ||
ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KCZYX>)
{
wei_desc =
f_nchw_host_tensor_descriptor(params.K_, params.C_, params.filter_spatial_lengths_);
}
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NWK> ||
ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NHWK> ||
ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NDHWK>)
{
out_desc =
f_nhwc_host_tensor_descriptor(params.N_, params.K_, params.GetOutputSpatialLengths());
}
else if constexpr(ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NKW> ||
ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NKHW> ||
ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NKDHW>)
{
out_desc =
f_nchw_host_tensor_descriptor(params.N_, params.K_, params.GetOutputSpatialLengths());
}
const auto in_desc = ck::utils::conv::get_input_host_tensor_descriptor<InLayout>(conv_param);
const auto wei_desc = ck::utils::conv::get_weight_host_tensor_descriptor<WeiLayout>(conv_param);
const auto out_desc = ck::utils::conv::get_output_host_tensor_descriptor<OutLayout>(conv_param);
Tensor<InDataType> in(in_desc);
Tensor<WeiDataType> wei_host_result(wei_desc);
......
library/include/ck/library/utility/convolution_host_tensor_descriptor_helper.hpp 0 → 100644
View file @ 0e81cc18
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include "ck/ck.hpp"
#include "ck/library/utility/convolution_parameter.hpp"
namespace ck {
namespace utils {
namespace conv {
template <typename InLayout>
HostTensorDescriptor
get_input_host_tensor_descriptor(const ck::tensor_operation::device::ConvParams& param)
{
if constexpr(ck::is_same_v<InLayout, ck::tensor_layout::convolution::NWC> ||
ck::is_same_v<InLayout, ck::tensor_layout::convolution::NHWC> ||
ck::is_same_v<InLayout, ck::tensor_layout::convolution::NDHWC>)
{
std::vector<std::size_t> nhwc_lengths{static_cast<std::size_t>(param.N_),
static_cast<std::size_t>(param.C_)};
nhwc_lengths.insert(nhwc_lengths.begin() + 1,
param.input_spatial_lengths_.begin(),
param.input_spatial_lengths_.end());
return HostTensorDescriptor(nhwc_lengths);
}
else if constexpr(ck::is_same_v<InLayout, ck::tensor_layout::convolution::NCW> ||
ck::is_same_v<InLayout, ck::tensor_layout::convolution::NCHW> ||
ck::is_same_v<InLayout, ck::tensor_layout::convolution::NCDHW>)
{
std::vector<std::size_t> nchw_lengths{static_cast<std::size_t>(param.N_),
static_cast<std::size_t>(param.C_)};
nchw_lengths.insert(nchw_lengths.end(),
param.input_spatial_lengths_.begin(),
param.input_spatial_lengths_.end());
return HostTensorDescriptor(nchw_lengths);
}
else
{
throw std::runtime_error("wrong! unsupported layout");
}
}
template <typename WeiLayout>
HostTensorDescriptor
get_weight_host_tensor_descriptor(const ck::tensor_operation::device::ConvParams& param)
{
if constexpr(ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KXC> ||
ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KYXC> ||
ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KZYXC>)
{
std::vector<std::size_t> kyxc_lengths{static_cast<std::size_t>(param.K_),
static_cast<std::size_t>(param.C_)};
kyxc_lengths.insert(kyxc_lengths.begin() + 1,
param.filter_spatial_lengths_.begin(),
param.filter_spatial_lengths_.end());
return HostTensorDescriptor(kyxc_lengths);
}
else if constexpr(ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KCX> ||
ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KCYX> ||
ck::is_same_v<WeiLayout, ck::tensor_layout::convolution::KCZYX>)
{
std::vector<std::size_t> kcyx_lengths{static_cast<std::size_t>(param.K_),
static_cast<std::size_t>(param.C_)};
kcyx_lengths.insert(kcyx_lengths.end(),
param.filter_spatial_lengths_.begin(),
param.filter_spatial_lengths_.end());
return HostTensorDescriptor(kcyx_lengths);
}
else
{
throw std::runtime_error("wrong! unsupported layout");
}
}
template <typename OutLayout>
HostTensorDescriptor
get_output_host_tensor_descriptor(const ck::tensor_operation::device::ConvParams& param)
{
if constexpr(ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NWK> ||
ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NHWK> ||
ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NDHWK>)
{
std::vector<std::size_t> nhwk_lengths{static_cast<std::size_t>(param.N_),
static_cast<std::size_t>(param.K_)};
nhwk_lengths.insert(nhwk_lengths.begin() + 1,
param.output_spatial_lengths_.begin(),
param.output_spatial_lengths_.end());
return HostTensorDescriptor(nhwk_lengths);
}
else if constexpr(ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NKW> ||
ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NKHW> ||
ck::is_same_v<OutLayout, ck::tensor_layout::convolution::NKDHW>)
{
std::vector<std::size_t> nkhw_lengths{static_cast<std::size_t>(param.N_),
static_cast<std::size_t>(param.K_)};
nkhw_lengths.insert(nkhw_lengths.end(),
param.output_spatial_lengths_.begin(),
param.output_spatial_lengths_.end());
return HostTensorDescriptor(nkhw_lengths);
}
else
{
throw std::runtime_error("wrong! unsupported layout");
}
}
} // namespace conv
} // namespace utils
} // namespace ck
profiler/include/profile_conv_bwd_data_impl.hpp
View file @ 0e81cc18
......@@ -15,6 +15,7 @@
#include "ck/library/utility/host_tensor.hpp"
#include "ck/library/utility/host_tensor_generator.hpp"
#include "ck/library/utility/convolution_parameter.hpp"
#include "ck/library/utility/convolution_host_tensor_descriptor_helper.hpp"
#include "ck/library/reference_tensor_operation/cpu/reference_conv_bwd_data.hpp"
namespace ck {
......@@ -57,7 +58,7 @@ bool profile_conv_bwd_data_impl(int do_verification,
int init_method,
bool do_log,
bool time_kernel,
const ck::tensor_operation::device::ConvParams& params)
const ck::tensor_operation::device::ConvParams& conv_param)
{
using InElementOp = ck::tensor_operation::element_wise::PassThrough;
using WeiElementOp = ck::tensor_operation::element_wise::PassThrough;
......@@ -67,75 +68,9 @@ bool profile_conv_bwd_data_impl(int do_verification,
const auto wei_element_op = WeiElementOp{};
const auto out_element_op = OutElementOp{};
// make host tensor descritpor
auto f_nhwc_host_tensor_descriptor =
[](ck::index_t n, ck::index_t c, std::vector<ck::index_t> spatial_lengths) {
std::vector<std::size_t> nhwc_lengths{static_cast<std::size_t>(n),
static_cast<std::size_t>(c)};
nhwc_lengths.insert(
nhwc_lengths.begin() + 1, spatial_lengths.begin(), spatial_lengths.end());
return HostTensorDescriptor(nhwc_lengths);
};
auto f_nchw_host_tensor_descriptor =
[](ck::index_t n, ck::index_t c, std::vector<ck::index_t> spatial_lengths) {
std::vector<std::size_t> nchw_lengths{static_cast<std::size_t>(n),
static_cast<std::size_t>(c)};
nchw_lengths.insert(nchw_lengths.end(), spatial_lengths.begin(), spatial_lengths.end());
return HostTensorDescriptor(nchw_lengths);
};
HostTensorDescriptor in_desc, wei_desc, out_desc;
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(is_same_v<InLayout, ck::tensor_layout::convolution::NWC> ||
is_same_v<InLayout, ck::tensor_layout::convolution::NHWC> ||
is_same_v<InLayout, ck::tensor_layout::convolution::NDHWC>)
{
in_desc =
f_nhwc_host_tensor_descriptor(params.N_, params.C_, params.input_spatial_lengths_);
}
else if constexpr(is_same_v<InLayout, ck::tensor_layout::convolution::NCW> ||
is_same_v<InLayout, ck::tensor_layout::convolution::NCHW> ||
is_same_v<InLayout, ck::tensor_layout::convolution::NCDHW>)
{
in_desc =
f_nchw_host_tensor_descriptor(params.N_, params.C_, params.input_spatial_lengths_);
}
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(is_same_v<WeiLayout, ck::tensor_layout::convolution::KXC> ||
is_same_v<WeiLayout, ck::tensor_layout::convolution::KYXC> ||
is_same_v<WeiLayout, ck::tensor_layout::convolution::KZYXC>)
{
wei_desc =
f_nhwc_host_tensor_descriptor(params.K_, params.C_, params.filter_spatial_lengths_);
}
else if constexpr(is_same_v<WeiLayout, ck::tensor_layout::convolution::KCX> ||
is_same_v<WeiLayout, ck::tensor_layout::convolution::KCYX> ||
is_same_v<WeiLayout, ck::tensor_layout::convolution::KCZYX>)
{
wei_desc =
f_nchw_host_tensor_descriptor(params.K_, params.C_, params.filter_spatial_lengths_);
}
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(is_same_v<OutLayout, ck::tensor_layout::convolution::NWK> ||
is_same_v<OutLayout, ck::tensor_layout::convolution::NHWK> ||
is_same_v<OutLayout, ck::tensor_layout::convolution::NDHWK>)
{
out_desc =
f_nhwc_host_tensor_descriptor(params.N_, params.K_, params.GetOutputSpatialLengths());
}
else if constexpr(is_same_v<OutLayout, ck::tensor_layout::convolution::NKW> ||
is_same_v<OutLayout, ck::tensor_layout::convolution::NKHW> ||
is_same_v<OutLayout, ck::tensor_layout::convolution::NKDHW>)
{
out_desc =
f_nchw_host_tensor_descriptor(params.N_, params.K_, params.GetOutputSpatialLengths());
}
const auto in_desc = ck::utils::conv::get_input_host_tensor_descriptor<InLayout>(conv_param);
const auto wei_desc = ck::utils::conv::get_weight_host_tensor_descriptor<WeiLayout>(conv_param);
const auto out_desc = ck::utils::conv::get_output_host_tensor_descriptor<OutLayout>(conv_param);
Tensor<InDataType> input_host_result(in_desc);
Tensor<InDataType> input_device_result(in_desc);
......@@ -183,10 +118,10 @@ bool profile_conv_bwd_data_impl(int do_verification,
auto ref_argument = ref_conv.MakeArgument(input_host_result,
weight,
output,
params.conv_filter_strides_,
params.conv_filter_dilations_,
params.input_left_pads_,
params.input_right_pads_,
conv_param.conv_filter_strides_,
conv_param.conv_filter_dilations_,
conv_param.input_left_pads_,
conv_param.input_right_pads_,
InElementOp{},
WeiElementOp{},
OutElementOp{});
......@@ -224,16 +159,16 @@ bool profile_conv_bwd_data_impl(int do_verification,
op_ptr->MakeArgumentPointer(static_cast<InDataType*>(in_device_buf.GetDeviceBuffer()),
static_cast<WeiDataType*>(wei_device_buf.GetDeviceBuffer()),
static_cast<OutDataType*>(out_device_buf.GetDeviceBuffer()),
params.N_,
params.K_,
params.C_,
params.input_spatial_lengths_,
params.filter_spatial_lengths_,
params.output_spatial_lengths_,
params.conv_filter_strides_,
params.conv_filter_dilations_,
params.input_left_pads_,
params.input_right_pads_,
conv_param.N_,
conv_param.K_,
conv_param.C_,
conv_param.input_spatial_lengths_,
conv_param.filter_spatial_lengths_,
conv_param.output_spatial_lengths_,
conv_param.conv_filter_strides_,
conv_param.conv_filter_dilations_,
conv_param.input_left_pads_,
conv_param.input_right_pads_,
in_element_op,
wei_element_op,
out_element_op);
......@@ -251,8 +186,8 @@ bool profile_conv_bwd_data_impl(int do_verification,
float avg_time =
invoker_ptr->Run(argument_ptr.get(), StreamConfig{nullptr, time_kernel});
std::size_t flop = params.GetFlops();
std::size_t num_btype = params.GetByte<InDataType, WeiDataType, OutDataType>();
std::size_t flop = conv_param.GetFlops();
std::size_t num_btype = conv_param.GetByte<InDataType, WeiDataType, OutDataType>();
float tflops = static_cast<float>(flop) / 1.E9 / avg_time;
float gb_per_sec = num_btype / 1.E6 / avg_time;
......
profiler/include/profile_conv_bwd_weight_impl.hpp
View file @ 0e81cc18
......@@ -20,6 +20,7 @@
#include "ck/library/utility/host_tensor.hpp"
#include "ck/library/utility/host_tensor_generator.hpp"
#include "ck/library/utility/convolution_parameter.hpp"
#include "ck/library/utility/convolution_host_tensor_descriptor_helper.hpp"
#include "ck/library/reference_tensor_operation/cpu/reference_conv_bwd_weight.hpp"
namespace ck {
......@@ -62,7 +63,7 @@ bool profile_conv_bwd_weight_impl(int do_verification,
int init_method,
bool do_log,
bool time_kernel,
const ck::tensor_operation::device::ConvParams& params,
const ck::tensor_operation::device::ConvParams& conv_param,
ck::index_t split_k)
{
using InElementOp = ck::tensor_operation::element_wise::PassThrough;
......@@ -73,75 +74,9 @@ bool profile_conv_bwd_weight_impl(int do_verification,
const auto wei_element_op = WeiElementOp{};
const auto out_element_op = OutElementOp{};
// make host tensor descritpor
auto f_nhwc_host_tensor_descriptor =
[](ck::index_t n, ck::index_t c, std::vector<ck::index_t> spatial_lengths) {
std::vector<std::size_t> nhwc_lengths{static_cast<std::size_t>(n),
static_cast<std::size_t>(c)};
nhwc_lengths.insert(
nhwc_lengths.begin() + 1, spatial_lengths.begin(), spatial_lengths.end());
return HostTensorDescriptor(nhwc_lengths);
};
auto f_nchw_host_tensor_descriptor =
[](ck::index_t n, ck::index_t c, std::vector<ck::index_t> spatial_lengths) {
std::vector<std::size_t> nchw_lengths{static_cast<std::size_t>(n),
static_cast<std::size_t>(c)};
nchw_lengths.insert(nchw_lengths.end(), spatial_lengths.begin(), spatial_lengths.end());
return HostTensorDescriptor(nchw_lengths);
};
HostTensorDescriptor in_desc, wei_desc, out_desc;
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(is_same_v<InLayout, ck::tensor_layout::convolution::NWC> ||
is_same_v<InLayout, ck::tensor_layout::convolution::NHWC> ||
is_same_v<InLayout, ck::tensor_layout::convolution::NDHWC>)
{
in_desc =
f_nhwc_host_tensor_descriptor(params.N_, params.C_, params.input_spatial_lengths_);
}
else if constexpr(is_same_v<InLayout, ck::tensor_layout::convolution::NCW> ||
is_same_v<InLayout, ck::tensor_layout::convolution::NCHW> ||
is_same_v<InLayout, ck::tensor_layout::convolution::NCDHW>)
{
in_desc =
f_nchw_host_tensor_descriptor(params.N_, params.C_, params.input_spatial_lengths_);
}
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(is_same_v<WeiLayout, ck::tensor_layout::convolution::KXC> ||
is_same_v<WeiLayout, ck::tensor_layout::convolution::KYXC> ||
is_same_v<WeiLayout, ck::tensor_layout::convolution::KZYXC>)
{
wei_desc =
f_nhwc_host_tensor_descriptor(params.K_, params.C_, params.filter_spatial_lengths_);
}
else if constexpr(is_same_v<WeiLayout, ck::tensor_layout::convolution::KCX> ||
is_same_v<WeiLayout, ck::tensor_layout::convolution::KCYX> ||
is_same_v<WeiLayout, ck::tensor_layout::convolution::KCZYX>)
{
wei_desc =
f_nchw_host_tensor_descriptor(params.K_, params.C_, params.filter_spatial_lengths_);
}
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(is_same_v<OutLayout, ck::tensor_layout::convolution::NWK> ||
is_same_v<OutLayout, ck::tensor_layout::convolution::NHWK> ||
is_same_v<OutLayout, ck::tensor_layout::convolution::NDHWK>)
{
out_desc =
f_nhwc_host_tensor_descriptor(params.N_, params.K_, params.GetOutputSpatialLengths());
}
else if constexpr(is_same_v<OutLayout, ck::tensor_layout::convolution::NKW> ||
is_same_v<OutLayout, ck::tensor_layout::convolution::NKHW> ||
is_same_v<OutLayout, ck::tensor_layout::convolution::NKDHW>)
{
out_desc =
f_nchw_host_tensor_descriptor(params.N_, params.K_, params.GetOutputSpatialLengths());
}
const auto in_desc = ck::utils::conv::get_input_host_tensor_descriptor<InLayout>(conv_param);
const auto wei_desc = ck::utils::conv::get_weight_host_tensor_descriptor<WeiLayout>(conv_param);
const auto out_desc = ck::utils::conv::get_output_host_tensor_descriptor<OutLayout>(conv_param);
Tensor<InDataType> input(in_desc);
Tensor<WeiDataType> weight_host_result(wei_desc);
......@@ -189,10 +124,10 @@ bool profile_conv_bwd_weight_impl(int do_verification,
auto ref_argument = ref_conv.MakeArgument(input,
weight_host_result,
output,
params.conv_filter_strides_,
params.conv_filter_dilations_,
params.input_left_pads_,
params.input_right_pads_,
conv_param.conv_filter_strides_,
conv_param.conv_filter_dilations_,
conv_param.input_left_pads_,
conv_param.input_right_pads_,
in_element_op,
wei_element_op,
out_element_op);
......@@ -231,16 +166,16 @@ bool profile_conv_bwd_weight_impl(int do_verification,
op_ptr->MakeArgumentPointer(static_cast<InDataType*>(in_device_buf.GetDeviceBuffer()),
static_cast<WeiDataType*>(wei_device_buf.GetDeviceBuffer()),
static_cast<OutDataType*>(out_device_buf.GetDeviceBuffer()),
params.N_,
params.K_,
params.C_,
params.input_spatial_lengths_,
params.filter_spatial_lengths_,
params.output_spatial_lengths_,
params.conv_filter_strides_,
params.conv_filter_dilations_,
params.input_left_pads_,
params.input_right_pads_,
conv_param.N_,
conv_param.K_,
conv_param.C_,
conv_param.input_spatial_lengths_,
conv_param.filter_spatial_lengths_,
conv_param.output_spatial_lengths_,
conv_param.conv_filter_strides_,
conv_param.conv_filter_dilations_,
conv_param.input_left_pads_,
conv_param.input_right_pads_,
in_element_op,
wei_element_op,
out_element_op,
......@@ -258,8 +193,8 @@ bool profile_conv_bwd_weight_impl(int do_verification,
float avg_time =
invoker_ptr->Run(argument_ptr.get(), StreamConfig{nullptr, time_kernel});
std::size_t flop = params.GetFlops();
std::size_t num_btype = params.GetByte<InDataType, WeiDataType, OutDataType>();
std::size_t flop = conv_param.GetFlops();
std::size_t num_btype = conv_param.GetByte<InDataType, WeiDataType, OutDataType>();
float tflops = static_cast<float>(flop) / 1.E9 / avg_time;
float gb_per_sec = num_btype / 1.E6 / avg_time;
......
profiler/include/profile_conv_fwd_impl.hpp
View file @ 0e81cc18
......@@ -19,6 +19,7 @@
#include "ck/library/utility/host_tensor.hpp"
#include "ck/library/utility/host_tensor_generator.hpp"
#include "ck/library/utility/convolution_parameter.hpp"
#include "ck/library/utility/convolution_host_tensor_descriptor_helper.hpp"
#include "ck/library/reference_tensor_operation/cpu/reference_conv_fwd.hpp"
namespace ck {
......@@ -32,83 +33,15 @@ template <ck::index_t NDimSpatial,
typename InDataType,
typename WeiDataType,
typename OutDataType>
int profile_conv_fwd_impl(int do_verification,
bool profile_conv_fwd_impl(int do_verification,
int init_method,
bool do_log,
bool time_kernel,
const ck::tensor_operation::device::ConvParams& params)
const ck::tensor_operation::device::ConvParams& conv_param)
{
bool pass = true;
// make host tensor descritpor
auto f_nhwc_host_tensor_descriptor =
[](ck::index_t n, ck::index_t c, std::vector<ck::index_t> spatial_lengths) {
std::vector<std::size_t> nhwc_lengths{static_cast<std::size_t>(n),
static_cast<std::size_t>(c)};
nhwc_lengths.insert(
nhwc_lengths.begin() + 1, spatial_lengths.begin(), spatial_lengths.end());
return HostTensorDescriptor(nhwc_lengths);
};
auto f_nchw_host_tensor_descriptor =
[](ck::index_t n, ck::index_t c, std::vector<ck::index_t> spatial_lengths) {
std::vector<std::size_t> nchw_lengths{static_cast<std::size_t>(n),
static_cast<std::size_t>(c)};
nchw_lengths.insert(nchw_lengths.end(), spatial_lengths.begin(), spatial_lengths.end());
return HostTensorDescriptor(nchw_lengths);
};
HostTensorDescriptor in_desc, wei_desc, out_desc;
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(is_same_v<InLayout, ck::tensor_layout::convolution::NWC> ||
is_same_v<InLayout, ck::tensor_layout::convolution::NHWC> ||
is_same_v<InLayout, ck::tensor_layout::convolution::NDHWC>)
{
in_desc =
f_nhwc_host_tensor_descriptor(params.N_, params.C_, params.input_spatial_lengths_);
}
else if constexpr(is_same_v<InLayout, ck::tensor_layout::convolution::NCW> ||
is_same_v<InLayout, ck::tensor_layout::convolution::NCHW> ||
is_same_v<InLayout, ck::tensor_layout::convolution::NCDHW>)
{
in_desc =
f_nchw_host_tensor_descriptor(params.N_, params.C_, params.input_spatial_lengths_);
}
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(is_same_v<WeiLayout, ck::tensor_layout::convolution::KXC> ||
is_same_v<WeiLayout, ck::tensor_layout::convolution::KYXC> ||
is_same_v<WeiLayout, ck::tensor_layout::convolution::KZYXC>)
{
wei_desc =
f_nhwc_host_tensor_descriptor(params.K_, params.C_, params.filter_spatial_lengths_);
}
else if constexpr(is_same_v<WeiLayout, ck::tensor_layout::convolution::KCX> ||
is_same_v<WeiLayout, ck::tensor_layout::convolution::KCYX> ||
is_same_v<WeiLayout, ck::tensor_layout::convolution::KCZYX>)
{
wei_desc =
f_nchw_host_tensor_descriptor(params.K_, params.C_, params.filter_spatial_lengths_);
}
// FIXME: properly implement "make host descriptor" for different layout
if constexpr(is_same_v<OutLayout, ck::tensor_layout::convolution::NWK> ||
is_same_v<OutLayout, ck::tensor_layout::convolution::NHWK> ||
is_same_v<OutLayout, ck::tensor_layout::convolution::NDHWK>)
{
out_desc =
f_nhwc_host_tensor_descriptor(params.N_, params.K_, params.GetOutputSpatialLengths());
}
else if constexpr(is_same_v<OutLayout, ck::tensor_layout::convolution::NKW> ||
is_same_v<OutLayout, ck::tensor_layout::convolution::NKHW> ||
is_same_v<OutLayout, ck::tensor_layout::convolution::NKDHW>)
{
out_desc =
f_nchw_host_tensor_descriptor(params.N_, params.K_, params.GetOutputSpatialLengths());
}
const auto in_desc = ck::utils::conv::get_input_host_tensor_descriptor<InLayout>(conv_param);
const auto wei_desc = ck::utils::conv::get_weight_host_tensor_descriptor<WeiLayout>(conv_param);
const auto out_desc = ck::utils::conv::get_output_host_tensor_descriptor<OutLayout>(conv_param);
Tensor<InDataType> input(in_desc);
Tensor<WeiDataType> weight(wei_desc);
......@@ -164,10 +97,10 @@ int profile_conv_fwd_impl(int do_verification,
auto ref_argument = ref_conv.MakeArgument(input,
weight,
host_output,
params.conv_filter_strides_,
params.conv_filter_dilations_,
params.input_left_pads_,
params.input_right_pads_,
conv_param.conv_filter_strides_,
conv_param.conv_filter_dilations_,
conv_param.input_left_pads_,
conv_param.input_right_pads_,
in_element_op,
wei_element_op,
out_element_op);
......@@ -201,22 +134,24 @@ int profile_conv_fwd_impl(int do_verification,
float best_gb_per_sec = 0;
// profile device op instances
bool pass = true;
for(auto& op_ptr : op_ptrs)
{
auto argument_ptr =
op_ptr->MakeArgumentPointer(static_cast<InDataType*>(in_device_buf.GetDeviceBuffer()),
static_cast<WeiDataType*>(wei_device_buf.GetDeviceBuffer()),
static_cast<OutDataType*>(out_device_buf.GetDeviceBuffer()),
params.N_,
params.K_,
params.C_,
params.input_spatial_lengths_,
params.filter_spatial_lengths_,
params.GetOutputSpatialLengths(),
params.conv_filter_strides_,
params.conv_filter_dilations_,
params.input_left_pads_,
params.input_right_pads_,
conv_param.N_,
conv_param.K_,
conv_param.C_,
conv_param.input_spatial_lengths_,
conv_param.filter_spatial_lengths_,
conv_param.GetOutputSpatialLengths(),
conv_param.conv_filter_strides_,
conv_param.conv_filter_dilations_,
conv_param.input_left_pads_,
conv_param.input_right_pads_,
in_element_op,
wei_element_op,
out_element_op);
......@@ -233,8 +168,8 @@ int profile_conv_fwd_impl(int do_verification,
float avg_time =
invoker_ptr->Run(argument_ptr.get(), StreamConfig{nullptr, time_kernel});
std::size_t flop = params.GetFlops();
std::size_t num_btype = params.GetByte<InDataType, WeiDataType, OutDataType>();
std::size_t flop = conv_param.GetFlops();
std::size_t num_btype = conv_param.GetByte<InDataType, WeiDataType, OutDataType>();
float tflops = static_cast<float>(flop) / 1.E9 / avg_time;
......@@ -278,7 +213,7 @@ int profile_conv_fwd_impl(int do_verification,
<< "\nname: " << best_op_name << "\navg_time: " << best_avg_time
<< "\ntflops: " << best_tflops << "\nGB/s: " << best_gb_per_sec << std::endl;
return 0;
return pass;
}
} // namespace profiler
......
test/conv_util/conv_util.cpp
View file @ 0e81cc18
......@@ -35,48 +35,11 @@ class TestConvUtil : public ::testing::Test
// stride {2,2},
// dilations {1,1},
// padding {{1,1}, {1,1}}
ck::utils::conv::ConvParams conv_params;
ck::tensor_operation::device::ConvParams conv_params;
};
} // namespace
TEST_F(TestConvUtil, ConvParamsGetOutputSpatialLengths2D)
{
ck::utils::conv::ConvParams conv_params;
std::vector<ck::index_t> out_spatial_len = conv_params.GetOutputSpatialLengths();
EXPECT_TRUE(ck::utils::check_err(out_spatial_len,
std::vector<ck::index_t>{36, 36},
"Error: ConvParams 2D default constructor."));
conv_params.conv_filter_strides_ = std::vector<ck::index_t>{1, 1};
out_spatial_len = conv_params.GetOutputSpatialLengths();
EXPECT_TRUE(ck::utils::check_err(
out_spatial_len, std::vector<ck::index_t>{71, 71}, "Error: ConvParams 2D stride {1,1}."));
conv_params.conv_filter_strides_ = std::vector<ck::index_t>{2, 2};
conv_params.input_left_pads_ = std::vector<ck::index_t>{2, 2};
conv_params.input_right_pads_ = std::vector<ck::index_t>{2, 2};
out_spatial_len = conv_params.GetOutputSpatialLengths();
EXPECT_TRUE(ck::utils::check_err(out_spatial_len,
std::vector<ck::index_t>{37, 37},
"Error: ConvParams 2D padding left/right {2,2}."));
conv_params.conv_filter_dilations_ = std::vector<ck::index_t>{2, 2};
out_spatial_len = conv_params.GetOutputSpatialLengths();
EXPECT_TRUE(ck::utils::check_err(
out_spatial_len, std::vector<ck::index_t>{36, 36}, "Error: ConvParams 2D dilation {2,2}."));
conv_params.conv_filter_strides_ = std::vector<ck::index_t>{3, 3};
conv_params.input_left_pads_ = std::vector<ck::index_t>{1, 1};
conv_params.input_right_pads_ = std::vector<ck::index_t>{1, 1};
conv_params.conv_filter_dilations_ = std::vector<ck::index_t>{2, 2};
out_spatial_len = conv_params.GetOutputSpatialLengths();
EXPECT_TRUE(
ck::utils::check_err(out_spatial_len,
std::vector<ck::index_t>{23, 23},
"Error: ConvParams 2D strides{3,3}, padding {1,1}, dilations {2,2}."));
}
TEST_F(TestConvUtil, ConvParamsGetOutputSpatialLengths1D)
{
SetNDParams(1);
......@@ -114,6 +77,43 @@ TEST_F(TestConvUtil, ConvParamsGetOutputSpatialLengths1D)
"Error: ConvParams 1D strides{3}, padding {1}, dilations {2}."));
}
TEST_F(TestConvUtil, ConvParamsGetOutputSpatialLengths2D)
{
ck::tensor_operation::device::ConvParams conv_params;
std::vector<ck::index_t> out_spatial_len = conv_params.GetOutputSpatialLengths();
EXPECT_TRUE(ck::utils::check_err(out_spatial_len,
std::vector<ck::index_t>{36, 36},
"Error: ConvParams 2D default constructor."));
conv_params.conv_filter_strides_ = std::vector<ck::index_t>{1, 1};
out_spatial_len = conv_params.GetOutputSpatialLengths();
EXPECT_TRUE(ck::utils::check_err(
out_spatial_len, std::vector<ck::index_t>{71, 71}, "Error: ConvParams 2D stride {1,1}."));
conv_params.conv_filter_strides_ = std::vector<ck::index_t>{2, 2};
conv_params.input_left_pads_ = std::vector<ck::index_t>{2, 2};
conv_params.input_right_pads_ = std::vector<ck::index_t>{2, 2};
out_spatial_len = conv_params.GetOutputSpatialLengths();
EXPECT_TRUE(ck::utils::check_err(out_spatial_len,
std::vector<ck::index_t>{37, 37},
"Error: ConvParams 2D padding left/right {2,2}."));
conv_params.conv_filter_dilations_ = std::vector<ck::index_t>{2, 2};
out_spatial_len = conv_params.GetOutputSpatialLengths();
EXPECT_TRUE(ck::utils::check_err(
out_spatial_len, std::vector<ck::index_t>{36, 36}, "Error: ConvParams 2D dilation {2,2}."));
conv_params.conv_filter_strides_ = std::vector<ck::index_t>{3, 3};
conv_params.input_left_pads_ = std::vector<ck::index_t>{1, 1};
conv_params.input_right_pads_ = std::vector<ck::index_t>{1, 1};
conv_params.conv_filter_dilations_ = std::vector<ck::index_t>{2, 2};
out_spatial_len = conv_params.GetOutputSpatialLengths();
EXPECT_TRUE(
ck::utils::check_err(out_spatial_len,
std::vector<ck::index_t>{23, 23},
"Error: ConvParams 2D strides{3,3}, padding {1,1}, dilations {2,2}."));
}
TEST_F(TestConvUtil, ConvParamsGetOutputSpatialLengths3D)
{
SetNDParams(3);
......@@ -152,56 +152,3 @@ TEST_F(TestConvUtil, ConvParamsGetOutputSpatialLengths3D)
std::vector<ck::index_t>{23, 23, 23},
"Error: ConvParams 3D strides{3, 3, 3}, padding {1, 1, 1}, dilations {2, 2, 2}."));
}
TEST(ConvUtil, GetHostTensorDescriptor)
{
namespace tl = ck::tensor_layout::convolution;
std::vector<std::size_t> dims{2, 3, 4, 5};
HostTensorDescriptor h = ck::utils::conv::get_host_tensor_descriptor(dims, tl::NHWC{});
EXPECT_TRUE(ck::utils::check_err(
h.GetLengths(), {2, 3, 4, 5}, "Error: wrong NHWC dimensions lengths!"));
EXPECT_TRUE(ck::utils::check_err(
h.GetStrides(), {3 * 4 * 5, 1, 3 * 5, 3}, "Error: wrong NHWC dimensions strides!"));
h = ck::utils::conv::get_host_tensor_descriptor(dims, tl::NCHW{});
EXPECT_TRUE(ck::utils::check_err(
h.GetLengths(), {2, 3, 4, 5}, "Error: wrong NCHW dimensions lengths!"));
EXPECT_TRUE(ck::utils::check_err(
h.GetStrides(), {3 * 4 * 5, 4 * 5, 5, 1}, "Error: wrong NCHW dimensions strides!"));
dims = std::vector<std::size_t>{2, 3, 4};
h = ck::utils::conv::get_host_tensor_descriptor(dims, tl::NWC{});
EXPECT_TRUE(
ck::utils::check_err(h.GetLengths(), {2, 3, 4}, "Error: wrong NWC dimensions lengths!"));
EXPECT_TRUE(ck::utils::check_err(
h.GetStrides(), {3 * 4, 1, 3}, "Error: wrong NWC dimensions strides!"));
h = ck::utils::conv::get_host_tensor_descriptor(dims, tl::NCW{});
EXPECT_TRUE(
ck::utils::check_err(h.GetLengths(), {2, 3, 4}, "Error: wrong NCW dimensions lengths!"));
EXPECT_TRUE(ck::utils::check_err(
h.GetStrides(), {3 * 4, 4, 1}, "Error: wrong NCW dimensions strides!"));
dims = std::vector<std::size_t>{2, 3, 4, 5, 6};
h = ck::utils::conv::get_host_tensor_descriptor(dims, tl::NDHWC{});
EXPECT_TRUE(
ck::utils::check_err(h.GetLengths(), dims, "Error: wrong NDHWC dimensions lengths!"));
EXPECT_TRUE(ck::utils::check_err(h.GetStrides(),
{3 * 4 * 5 * 6, // N
1, // C
3 * 5 * 6, // D
3 * 6, // H
3}, // W
"Error: wrong NDHWC dimensions strides!"));
h = ck::utils::conv::get_host_tensor_descriptor(dims, tl::NCDHW{});
EXPECT_TRUE(
ck::utils::check_err(h.GetLengths(), dims, "Error: wrong NCDHW dimensions lengths!"));
EXPECT_TRUE(ck::utils::check_err(h.GetStrides(),
{3 * 4 * 5 * 6, // N
4 * 5 * 6, // C
5 * 6, // D
6, // H
1}, // W
"Error: wrong NCDHW dimensions strides!"));
}
test/reference_conv_fwd/reference_conv_fwd.cpp
View file @ 0e81cc18
......@@ -15,14 +15,16 @@
#include "ck/library/utility/check_err.hpp"
#include "ck/library/utility/fill.hpp"
#include "ck/library/utility/host_tensor.hpp"
#include "ck/library/utility/convolution_parameter.hpp"
#include "ck/library/reference_tensor_operation/cpu/reference_conv_fwd.hpp"
namespace {
using InElementOp = ck::tensor_operation::element_wise::PassThrough;
using WeiElementOp = ck::tensor_operation::element_wise::PassThrough;
using OutElementOp = ck::tensor_operation::element_wise::PassThrough;
template <ck::index_t NDim,
template <ck::index_t NDimSpatial,
typename InDataType = float,
typename WeiDataType = float,
typename OutDataType = float,
......@@ -32,7 +34,7 @@ template <ck::index_t NDim,
typename FillInputOp = ck::utils::FillMonotonicSeq<InDataType>,
typename FillWeightsOp = ck::utils::FillConstant<WeiDataType>>
Tensor<OutDataType>
run_reference_convolution_forward(const ck::utils::conv::ConvParams& params,
run_reference_convolution_forward(const ck::tensor_operation::device::ConvParams& params,
const FillInputOp& fill_input_op = FillInputOp{},
const FillWeightsOp& fill_weights_op = FillWeightsOp{0.5f})
{
......@@ -65,13 +67,16 @@ run_reference_convolution_forward(const ck::utils::conv::ConvParams& params,
fill_weights_op(weights.begin(), weights.end());
std::fill(host_output.begin(), host_output.end(), OutDataType(0.f));
auto ref_conv = ck::tensor_operation::host::ReferenceConvFwd<InDataType,
auto ref_conv = ck::tensor_operation::host::ReferenceConvFwd<NDimSpatial,
InLayout,
WeiLayout,
OutLayout,
InDataType,
WeiDataType,
OutDataType,
InElementOp,
WeiElementOp,
OutElementOp,
NDim>();
OutElementOp>();
auto ref_invoker = ref_conv.MakeInvoker();
auto ref_argument = ref_conv.MakeArgument(input,
weights,
......@@ -92,7 +97,7 @@ run_reference_convolution_forward(const ck::utils::conv::ConvParams& params,
TEST(ReferenceConvolutionFWD, Conv2DNHWC)
{
ck::utils::conv::ConvParams params;
ck::tensor_operation::device::ConvParams params;
params.N_ = 1;
params.K_ = 1;
params.C_ = 2;
......@@ -128,7 +133,7 @@ TEST(ReferenceConvolutionFWD, Conv2DNHWC)
TEST(ReferenceConvolutionFWD, Conv2DNHWCStridesDilationsPadding)
{
ck::utils::conv::ConvParams params;
ck::tensor_operation::device::ConvParams params;
params.N_ = 1;
params.K_ = 2;
params.C_ = 2;
......@@ -154,7 +159,7 @@ TEST(ReferenceConvolutionFWD, Conv2DNHWCStridesDilationsPadding)
TEST(ReferenceConvolutionFWD, Conv1DNWC)
{
ck::utils::conv::ConvParams params;
ck::tensor_operation::device::ConvParams params;
params.num_dim_spatial_ = 1;
params.N_ = 1;
params.K_ = 1;
......@@ -183,7 +188,7 @@ TEST(ReferenceConvolutionFWD, Conv1DNWC)
TEST(ReferenceConvolutionFWD, Conv1DNWCStridesDilationsPadding)
{
ck::utils::conv::ConvParams params;
ck::tensor_operation::device::ConvParams params;
params.num_dim_spatial_ = 1;
params.N_ = 1;
params.K_ = 2;
......@@ -212,7 +217,7 @@ TEST(ReferenceConvolutionFWD, Conv1DNWCStridesDilationsPadding)
TEST(ReferenceConvolutionFWD, Conv1DNWCSameOutputSize)
{
ck::utils::conv::ConvParams params;
ck::tensor_operation::device::ConvParams params;
params.num_dim_spatial_ = 1;
params.N_ = 2;
params.K_ = 16;
......@@ -306,7 +311,7 @@ TEST(ReferenceConvolutionFWD, Conv1DNWCSameOutputSize)
TEST(ReferenceConvolutionFWD, Conv3DNCDHW)
{
ck::utils::conv::ConvParams params;
ck::tensor_operation::device::ConvParams params;
params.num_dim_spatial_ = 3;
params.N_ = 1;
params.K_ = 1;
......@@ -345,7 +350,7 @@ TEST(ReferenceConvolutionFWD, Conv3DNCDHW)
TEST(ReferenceConvolutionFWD, Conv3DNCDHWStridesDilations)
{
ck::utils::conv::ConvParams params;
ck::tensor_operation::device::ConvParams params;
params.num_dim_spatial_ = 3;
params.N_ = 1;
params.K_ = 2;
......
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