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Support NHWGC conv2d_bwd_weight (#769)
* Support NHWGC conv2d_bwd_weight
* Fix client example
* Fix client example
* Fix comments
* Redesign grouped_conv_bwd_weight instances
* Clang format fix
---------
Co-authored-by: zjing14 <zhangjing14@gmail.com>
[ROCm/composable_kernel commit: 1ee99dcaa6]
This commit is contained in:
@@ -3,7 +3,7 @@
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#include "common.hpp"
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#include "ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_weight_gnwc_gkxc_gnwk_xdl_cshuffle.hpp"
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#include "ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_weight_xdl_cshuffle.hpp"
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using InDataType = BF16;
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// bf16 kernel use fp32 atomic add to accumulate Weight tensor into global memory
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@@ -17,8 +17,20 @@ using OutElementOp = PassThrough;
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template <ck::index_t NDimSpatial>
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using DeviceConvBwdWeightInstance =
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ck::tensor_operation::device::DeviceGroupedConvBwdWeightGnwcGkxcGnwk_Xdl_CShuffle<
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NDimSpatial, // NDimSpatial
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ck::tensor_operation::device::DeviceGroupedConvBwdWeight_Xdl_CShuffle<
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NDimSpatial,
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ck::tuple_element_t<NDimSpatial - 1,
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ck::Tuple<ck::tensor_layout::convolution::GNWC,
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ck::tensor_layout::convolution::GNHWC,
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ck::tensor_layout::convolution::GNDHWC>>,
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ck::tuple_element_t<NDimSpatial - 1,
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ck::Tuple<ck::tensor_layout::convolution::GKXC,
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ck::tensor_layout::convolution::GKYXC,
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ck::tensor_layout::convolution::GKZYXC>>,
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ck::tuple_element_t<NDimSpatial - 1,
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ck::Tuple<ck::tensor_layout::convolution::GNWK,
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ck::tensor_layout::convolution::GNHWK,
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ck::tensor_layout::convolution::GNDHWK>>,
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InDataType, // InDataType
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WeiDataType, // WeiDataType
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OutDataType, // OutDataType
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@@ -3,7 +3,7 @@
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#include "common.hpp"
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#include "ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_weight_gnwc_gkxc_gnwk_xdl_cshuffle.hpp"
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#include "ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_weight_xdl_cshuffle.hpp"
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using InDataType = F16;
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using WeiDataType = F16;
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@@ -16,8 +16,20 @@ using OutElementOp = PassThrough;
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template <ck::index_t NDimSpatial>
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using DeviceConvBwdWeightInstance =
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ck::tensor_operation::device::DeviceGroupedConvBwdWeightGnwcGkxcGnwk_Xdl_CShuffle<
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NDimSpatial, // NDimSpatial
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ck::tensor_operation::device::DeviceGroupedConvBwdWeight_Xdl_CShuffle<
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NDimSpatial,
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ck::tuple_element_t<NDimSpatial - 1,
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ck::Tuple<ck::tensor_layout::convolution::GNWC,
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ck::tensor_layout::convolution::GNHWC,
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ck::tensor_layout::convolution::GNDHWC>>,
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ck::tuple_element_t<NDimSpatial - 1,
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ck::Tuple<ck::tensor_layout::convolution::GKXC,
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ck::tensor_layout::convolution::GKYXC,
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ck::tensor_layout::convolution::GKZYXC>>,
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ck::tuple_element_t<NDimSpatial - 1,
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ck::Tuple<ck::tensor_layout::convolution::GNWK,
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ck::tensor_layout::convolution::GNHWK,
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ck::tensor_layout::convolution::GNDHWK>>,
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InDataType, // InDataType
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WeiDataType, // WeiDataType
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OutDataType, // OutDataType
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@@ -75,6 +75,8 @@ bool run_grouped_conv_bwd_weight(const ExecutionConfig& config,
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std::array<ck::index_t, NDimSpatial> input_spatial_lengths{};
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std::array<ck::index_t, NDimSpatial> filter_spatial_lengths{};
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std::array<ck::index_t, NDimSpatial> output_spatial_lengths{};
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std::array<ck::index_t, NDimSpatial + 3> input_strides{};
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std::array<ck::index_t, NDimSpatial + 3> output_strides{};
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std::array<ck::index_t, NDimSpatial> conv_filter_strides{};
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std::array<ck::index_t, NDimSpatial> conv_filter_dilations{};
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std::array<ck::index_t, NDimSpatial> input_left_pads{};
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@@ -85,6 +87,8 @@ bool run_grouped_conv_bwd_weight(const ExecutionConfig& config,
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range_copy(conv_param.input_spatial_lengths_, begin(input_spatial_lengths));
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range_copy(conv_param.filter_spatial_lengths_, begin(filter_spatial_lengths));
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range_copy(conv_param.output_spatial_lengths_, begin(output_spatial_lengths));
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range_copy(in_g_n_c_wis_desc.GetStrides(), begin(input_strides));
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range_copy(out_g_n_k_wos_desc.GetStrides(), begin(output_strides));
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range_copy(conv_param.conv_filter_strides_, begin(conv_filter_strides));
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range_copy(conv_param.conv_filter_dilations_, begin(conv_filter_dilations));
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range_copy(conv_param.input_left_pads_, begin(input_left_pads));
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@@ -103,6 +107,8 @@ bool run_grouped_conv_bwd_weight(const ExecutionConfig& config,
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input_spatial_lengths,
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filter_spatial_lengths,
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output_spatial_lengths,
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input_strides,
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output_strides,
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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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