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Add two stage grouped conv bwd weight kernel (#1280)
[ROCm/composable_kernel commit: 0b6b5d1785]
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@@ -5,7 +5,8 @@ set(GROUPED_CONV2D_BWD_WEIGHT
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xdl/device_grouped_conv2d_bwd_weight_xdl_gnhwc_gkyxc_gnhwk_bf16_instance.cpp
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xdl/device_grouped_conv2d_bwd_weight_xdl_nhwgc_gkyxc_nhwgk_f16_instance.cpp
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xdl/device_grouped_conv2d_bwd_weight_xdl_nhwgc_gkyxc_nhwgk_f32_instance.cpp
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xdl/device_grouped_conv2d_bwd_weight_xdl_nhwgc_gkyxc_nhwgk_bf16_instance.cpp)
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xdl/device_grouped_conv2d_bwd_weight_xdl_nhwgc_gkyxc_nhwgk_bf16_instance.cpp
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xdl/device_grouped_conv2d_bwd_weight_two_stage_xdl_nhwgc_gkyxc_nhwgk_f16_instance.cpp)
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if(DL_KERNELS)
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list(APPEND GROUPED_CONV2D_BWD_WEIGHT
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@@ -0,0 +1,48 @@
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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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#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
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#include "ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_weight/device_grouped_conv_bwd_weight_two_stage_xdl_instance.hpp"
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namespace ck {
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namespace tensor_operation {
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namespace device {
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namespace instance {
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// Compilation parameters for in[n, hi, wi, g, c] * wei[g, k, y, x, c] = out[n, ho, wo, g, k]
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void add_device_grouped_conv2d_bwd_weight_two_stage_xdl_nhwgc_gkyxc_nhwgk_f16_instances(
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std::vector<std::unique_ptr<DeviceGroupedConvBwdWeight<2,
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NHWGC,
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GKYXC,
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NHWGK,
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F16,
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F16,
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F16,
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PassThrough,
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PassThrough,
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PassThrough>>>& instances)
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{
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// 1. Default
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add_device_operation_instances(
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instances,
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device_grouped_conv_bwd_weight_two_stage_xdl_c_shuffle_f16_instances<
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2,
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NHWGC,
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GKYXC,
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NHWGK,
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ConvBwdWeightDefault>{});
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// 2. Filter1x1Stride1Pad0
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add_device_operation_instances(
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instances,
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device_grouped_conv_bwd_weight_two_stage_xdl_c_shuffle_f16_instances<
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2,
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NHWGC,
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GKYXC,
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NHWGK,
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ConvBwdWeightFilter1x1Stride1Pad0>{});
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}
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} // namespace instance
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} // namespace device
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} // namespace tensor_operation
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} // namespace ck
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@@ -5,7 +5,8 @@ set(GROUPED_CONV3D_BWD_WEIGHT
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xdl/device_grouped_conv3d_bwd_weight_xdl_gndhwc_gkzyxc_gndhwk_bf16_instance.cpp
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xdl/device_grouped_conv3d_bwd_weight_xdl_ndhwgc_gkzyxc_ndhwgk_f16_instance.cpp
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xdl/device_grouped_conv3d_bwd_weight_xdl_ndhwgc_gkzyxc_ndhwgk_f32_instance.cpp
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xdl/device_grouped_conv3d_bwd_weight_xdl_ndhwgc_gkzyxc_ndhwgk_bf16_instance.cpp)
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xdl/device_grouped_conv3d_bwd_weight_xdl_ndhwgc_gkzyxc_ndhwgk_bf16_instance.cpp
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xdl/device_grouped_conv3d_bwd_weight_two_stage_xdl_ndhwgc_gkzyxc_ndhwgk_f16_instance.cpp)
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if(DL_KERNELS)
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list(APPEND GROUPED_CONV3D_BWD_WEIGHT
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@@ -0,0 +1,48 @@
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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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#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
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#include "ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_weight/device_grouped_conv_bwd_weight_two_stage_xdl_instance.hpp"
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namespace ck {
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namespace tensor_operation {
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namespace device {
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namespace instance {
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// Compilation parameters for in[n, hi, wi, g, c] * wei[g, k, y, x, c] = out[n, ho, wo, g, k]
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void add_device_grouped_conv3d_bwd_weight_two_stage_xdl_ndhwgc_gkzyxc_ndhwgk_f16_instances(
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std::vector<std::unique_ptr<DeviceGroupedConvBwdWeight<3,
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NDHWGC,
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GKZYXC,
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NDHWGK,
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F16,
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F16,
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F16,
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PassThrough,
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PassThrough,
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PassThrough>>>& instances)
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{
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// 1. Default
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add_device_operation_instances(
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instances,
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device_grouped_conv_bwd_weight_two_stage_xdl_c_shuffle_f16_instances<
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3,
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NDHWGC,
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GKZYXC,
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NDHWGK,
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ConvBwdWeightDefault>{});
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// 2. Filter1x1Stride1Pad0
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add_device_operation_instances(
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instances,
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device_grouped_conv_bwd_weight_two_stage_xdl_c_shuffle_f16_instances<
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3,
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NDHWGC,
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GKZYXC,
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NDHWGK,
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ConvBwdWeightFilter1x1Stride1Pad0>{});
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}
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} // namespace instance
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} // namespace device
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} // namespace tensor_operation
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} // namespace ck
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