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Unverified Commit 67423a22 authored by Po Yen Chen's avatar Po Yen Chen Committed by GitHub
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Remove interface 'DeviceGroupedConvBwdData' (#500) 

* Remove interface 'DeviceGroupedConvBwdData'

* Remove no-longer needed include directive

* Rename client example folder
parent 8a4253ba
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Showing with 122 additions and 248 deletions
client_example/09_grouped_conv2d_bwd_data/grouped_conv2d_bwd_data.cpp → client_example/10_grouped_conv2d_bwd_data/grouped_conv2d_bwd_data.cpp
View file @ 67423a22
...@@ -98,13 +98,15 @@ int main() ...@@ -98,13 +98,15 @@ int main()
SimpleDeviceMem wei(sizeof(WeiDataType) * G * K * Y * X * C); SimpleDeviceMem wei(sizeof(WeiDataType) * G * K * Y * X * C);
SimpleDeviceMem out(sizeof(OutDataType) * G * N * Ho * Wo * K); SimpleDeviceMem out(sizeof(OutDataType) * G * N * Ho * Wo * K);
using DeviceOp = ck::tensor_operation::device::DeviceGroupedConvBwdData<NumDimSpatial, using DeviceOp = ck::tensor_operation::device::DeviceGroupedConvBwdDataMultipleD<NumDimSpatial,
InLayout,
WeiLayout,
OutLayout, OutLayout,
InDataType, WeiLayout,
WeiDataType, ck::Tuple<>,
InLayout,
OutDataType, OutDataType,
WeiDataType,
ck::Tuple<>,
InDataType,
PassThrough, PassThrough,
PassThrough, PassThrough,
PassThrough>; PassThrough>;
...@@ -126,15 +128,18 @@ int main() ...@@ -126,15 +128,18 @@ int main()
for(int i = 0; i < op_ptrs.size(); ++i) for(int i = 0; i < op_ptrs.size(); ++i)
{ {
auto& op_ptr = op_ptrs[i]; auto& op_ptr = op_ptrs[i];
auto argument_ptr = op_ptr->MakeArgumentPointer(in.GetDeviceBuffer(), auto argument_ptr = op_ptr->MakeArgumentPointer(out.GetDeviceBuffer(),
wei.GetDeviceBuffer(), wei.GetDeviceBuffer(),
out.GetDeviceBuffer(), {},
in_lengths, in.GetDeviceBuffer(),
in_strides,
wei_lengths,
wei_strides,
out_lengths, out_lengths,
out_strides, out_strides,
wei_lengths,
wei_strides,
{},
{},
in_lengths,
in_strides,
filter_strides, filter_strides,
filter_dilations, filter_dilations,
input_left_pads, input_left_pads,
...@@ -189,15 +194,18 @@ int main() ...@@ -189,15 +194,18 @@ int main()
auto& op_ptr = op_ptrs[best_op_id]; auto& op_ptr = op_ptrs[best_op_id];
std::cout << "Run the best instance without timing: " << op_ptr->GetTypeString() std::cout << "Run the best instance without timing: " << op_ptr->GetTypeString()
<< std::endl; << std::endl;
auto argument_ptr = op_ptr->MakeArgumentPointer(in.GetDeviceBuffer(), auto argument_ptr = op_ptr->MakeArgumentPointer(out.GetDeviceBuffer(),
wei.GetDeviceBuffer(), wei.GetDeviceBuffer(),
out.GetDeviceBuffer(), {},
in_lengths, in.GetDeviceBuffer(),
in_strides,
wei_lengths,
wei_strides,
out_lengths, out_lengths,
out_strides, out_strides,
wei_lengths,
wei_strides,
{},
{},
in_lengths,
in_strides,
filter_strides, filter_strides,
filter_dilations, filter_dilations,
input_left_pads, input_left_pads,
......
include/ck/tensor_operation/gpu/device/device_grouped_conv_bwd_data.hpp deleted 100644 → 0
View file @ 8a4253ba
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include <array>
#include "ck/tensor_operation/gpu/device/device_base.hpp"
namespace ck {
namespace tensor_operation {
namespace device {
template <ck::index_t NDimSpatial,
typename InputLayout,
typename WeightLayout,
typename OutputLayout,
typename InputDataType,
typename WeightDataType,
typename OutputDataType,
typename InputElementwiseOperation,
typename WeightElementwiseOperation,
typename OutputElementwiseOperation>
struct DeviceGroupedConvBwdData : public BaseOperator
{
virtual std::unique_ptr<BaseArgument>
MakeArgumentPointer(void* p_input,
const void* p_weight,
const void* p_output,
const std::array<index_t, NDimSpatial + 3>& input_g_n_c_wis_lengths,
const std::array<index_t, NDimSpatial + 3>& input_g_n_c_wis_strides,
const std::array<index_t, NDimSpatial + 3>& weight_g_k_c_xs_lengths,
const std::array<index_t, NDimSpatial + 3>& weight_g_k_c_xs_strides,
const std::array<index_t, NDimSpatial + 3>& output_g_n_k_wos_lengths,
const std::array<index_t, NDimSpatial + 3>& output_g_n_k_wos_strides,
const std::array<index_t, NDimSpatial>& conv_filter_strides,
const std::array<index_t, NDimSpatial>& conv_filter_dilations,
const std::array<index_t, NDimSpatial>& input_left_pads,
const std::array<index_t, NDimSpatial>& input_right_pads,
const InputElementwiseOperation& input_element_op,
const WeightElementwiseOperation& weight_element_op,
const OutputElementwiseOperation& output_element_op) = 0;
virtual std::unique_ptr<BaseInvoker> MakeInvokerPointer() = 0;
};
} // namespace device
} // namespace tensor_operation
} // namespace ck
include/ck/tensor_operation/gpu/device/device_grouped_conv_bwd_data_multiple_d.hpp
View file @ 67423a22
...@@ -3,10 +3,9 @@ ...@@ -3,10 +3,9 @@
#pragma once #pragma once
#include <vector> #include <array>
#include "ck/tensor_operation/gpu/device/device_base.hpp" #include "ck/tensor_operation/gpu/device/device_base.hpp"
#include "ck/tensor_operation/gpu/device/device_grouped_conv_bwd_data.hpp"
namespace ck { namespace ck {
namespace tensor_operation { namespace tensor_operation {
...@@ -63,100 +62,6 @@ struct DeviceGroupedConvBwdDataMultipleD : public BaseOperator ...@@ -63,100 +62,6 @@ struct DeviceGroupedConvBwdDataMultipleD : public BaseOperator
virtual std::unique_ptr<BaseInvoker> MakeInvokerPointer() = 0; virtual std::unique_ptr<BaseInvoker> MakeInvokerPointer() = 0;
}; };
template <ck::index_t NDimSpatial,
typename ALayout,
typename BLayout,
typename ELayout,
typename ADataType,
typename BDataType,
typename EDataType,
typename AElementwiseOperation,
typename BElementwiseOperation,
typename CDEElementwiseOperation>
struct DeviceGroupedConvBwdDataMultipleD<NDimSpatial,
ALayout,
BLayout,
Tuple<>,
ELayout,
ADataType,
BDataType,
Tuple<>,
EDataType,
AElementwiseOperation,
BElementwiseOperation,
CDEElementwiseOperation>
: public DeviceGroupedConvBwdData<NDimSpatial,
ELayout,
BLayout,
ALayout,
EDataType,
BDataType,
ADataType,
CDEElementwiseOperation,
BElementwiseOperation,
AElementwiseOperation>
{
virtual std::unique_ptr<BaseArgument> MakeArgumentPointer(
const void* p_a, // output image
const void* p_b, // weight
const std::array<const void*, 0>&, // bias
void* p_e, // input image
const std::array<index_t, NDimSpatial + 3>& a_g_n_k_wos_lengths, // output image
const std::array<index_t, NDimSpatial + 3>& a_g_n_k_wos_strides, // output image
const std::array<index_t, NDimSpatial + 3>& b_g_k_c_xs_lengths, // weight
const std::array<index_t, NDimSpatial + 3>& b_g_k_c_xs_strides, // weight
const std::array<std::array<index_t, NDimSpatial + 3>, 0>&, // bias
const std::array<std::array<index_t, NDimSpatial + 3>, 0>&, // bias
const std::array<index_t, NDimSpatial + 3>& e_g_n_c_wis_lengths, // input image
const std::array<index_t, NDimSpatial + 3>& e_g_n_c_wis_strides, // input image
const std::array<index_t, NDimSpatial>& conv_filter_strides,
const std::array<index_t, NDimSpatial>& conv_filter_dilations,
const std::array<index_t, NDimSpatial>& input_left_pads,
const std::array<index_t, NDimSpatial>& input_right_pads,
const AElementwiseOperation& a_element_op,
const BElementwiseOperation& b_element_op,
const CDEElementwiseOperation& cde_element_op) = 0;
std::unique_ptr<BaseArgument>
MakeArgumentPointer(void* p_input,
const void* p_weight,
const void* p_output,
const std::array<index_t, NDimSpatial + 3>& input_g_n_c_wis_lengths,
const std::array<index_t, NDimSpatial + 3>& input_g_n_c_wis_strides,
const std::array<index_t, NDimSpatial + 3>& weight_g_k_c_xs_lengths,
const std::array<index_t, NDimSpatial + 3>& weight_g_k_c_xs_strides,
const std::array<index_t, NDimSpatial + 3>& output_g_n_k_wos_lengths,
const std::array<index_t, NDimSpatial + 3>& output_g_n_k_wos_strides,
const std::array<index_t, NDimSpatial>& conv_filter_strides,
const std::array<index_t, NDimSpatial>& conv_filter_dilations,
const std::array<index_t, NDimSpatial>& input_left_pads,
const std::array<index_t, NDimSpatial>& input_right_pads,
const CDEElementwiseOperation& input_element_op,
const BElementwiseOperation& weight_element_op,
const AElementwiseOperation& output_element_op) override final
{
return MakeArgumentPointer(p_output,
p_weight,
std::array<const void*, 0>{},
p_input,
output_g_n_k_wos_lengths,
output_g_n_k_wos_strides,
weight_g_k_c_xs_lengths,
weight_g_k_c_xs_strides,
std::array<std::array<index_t, NDimSpatial + 3>, 0>{},
std::array<std::array<index_t, NDimSpatial + 3>, 0>{},
input_g_n_c_wis_lengths,
input_g_n_c_wis_strides,
conv_filter_strides,
conv_filter_dilations,
input_left_pads,
input_right_pads,
output_element_op,
weight_element_op,
input_element_op);
}
};
} // namespace device } // namespace device
} // namespace tensor_operation } // namespace tensor_operation
} // namespace ck } // namespace ck
library/include/ck/library/tensor_operation_instance/gpu/grouped_convolution_backward_data.hpp
View file @ 67423a22
...@@ -5,7 +5,7 @@ ...@@ -5,7 +5,7 @@
#include "ck/ck.hpp" #include "ck/ck.hpp"
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp" #include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
#include "ck/tensor_operation/gpu/device/device_grouped_conv_bwd_data.hpp" #include "ck/tensor_operation/gpu/device/device_grouped_conv_bwd_data_multiple_d.hpp"
#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp" #include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
#include "ck/library/tensor_operation_instance/device_operation_instance_factory.hpp" #include "ck/library/tensor_operation_instance/device_operation_instance_factory.hpp"
...@@ -17,43 +17,51 @@ namespace instance { ...@@ -17,43 +17,51 @@ namespace instance {
// conv2d backward data // conv2d backward data
void add_device_grouped_conv2d_bwd_data_xdl_gnhwc_gkyxc_gnhwk_f16_instances( void add_device_grouped_conv2d_bwd_data_xdl_gnhwc_gkyxc_gnhwk_f16_instances(
std::vector<std::unique_ptr<DeviceGroupedConvBwdData<2, std::vector<std::unique_ptr<DeviceGroupedConvBwdDataMultipleD<2,
GNHWC,
GKYXC,
GNHWK, GNHWK,
GKYXC,
Empty_Tuple,
GNHWC,
F16, F16,
F16, F16,
Empty_Tuple,
F16, F16,
PassThrough, PassThrough,
PassThrough, PassThrough,
PassThrough>>>& instances); PassThrough>>>& instances);
template <ck::index_t NumDimSpatial, template <ck::index_t NumDimSpatial,
typename InLayout,
typename WeiLayout,
typename OutLayout, typename OutLayout,
typename InDataType, typename WeiLayout,
typename InLayout,
typename OutDataType,
typename WeiDataType, typename WeiDataType,
typename OutDataType> typename InDataType>
struct DeviceOperationInstanceFactory<ck::tensor_operation::device::DeviceGroupedConvBwdData< struct DeviceOperationInstanceFactory<
ck::tensor_operation::device::DeviceGroupedConvBwdDataMultipleD<
NumDimSpatial, NumDimSpatial,
InLayout,
WeiLayout,
OutLayout, OutLayout,
InDataType, WeiLayout,
WeiDataType, Empty_Tuple,
InLayout,
OutDataType, OutDataType,
WeiDataType,
Empty_Tuple,
InDataType,
ck::tensor_operation::element_wise::PassThrough, ck::tensor_operation::element_wise::PassThrough,
ck::tensor_operation::element_wise::PassThrough, ck::tensor_operation::element_wise::PassThrough,
ck::tensor_operation::element_wise::PassThrough>> ck::tensor_operation::element_wise::PassThrough>>
{ {
using DeviceOp = DeviceGroupedConvBwdData<NumDimSpatial, using DeviceOp =
InLayout, DeviceGroupedConvBwdDataMultipleD<NumDimSpatial,
WeiLayout,
OutLayout, OutLayout,
InDataType, WeiLayout,
WeiDataType, Empty_Tuple,
InLayout,
OutDataType, OutDataType,
WeiDataType,
Empty_Tuple,
InDataType,
ck::tensor_operation::element_wise::PassThrough, ck::tensor_operation::element_wise::PassThrough,
ck::tensor_operation::element_wise::PassThrough, ck::tensor_operation::element_wise::PassThrough,
ck::tensor_operation::element_wise::PassThrough>; ck::tensor_operation::element_wise::PassThrough>;
......
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