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Grouped Conv Bwd Weight Direct Load (#3648)
* Grouped Conv Bwd Weight Direct Load * Update gridwise_gemm_xdl_cshuffle_conv_v3.hpp * Implement group merging for bwd_weight and add instances * Link direct load instances * builder fixes * fix * fixes * fix --------- Co-authored-by: Graner, Johannes <johannes.graner@amd.com>
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@@ -20,6 +20,8 @@ set(GROUPED_CONV2D_BWD_WEIGHT
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xdl/nhwgc_gkyxc_nhwgk/device_grouped_conv2d_bwd_weight_xdl_nhwgc_gkyxc_nhwgk_bf16_default_pipev5_instance.cpp
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xdl/nhwgc_gkyxc_nhwgk/device_grouped_conv2d_bwd_weight_xdl_nhwgc_gkyxc_nhwgk_bf16_pad0_pipev2_instance.cpp
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xdl/nhwgc_gkyxc_nhwgk/device_grouped_conv2d_bwd_weight_xdl_nhwgc_gkyxc_nhwgk_bf16_pad0_pipev5_instance.cpp
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xdl/nhwgc_gkyxc_nhwgk/device_grouped_conv2d_bwd_weight_xdl_nhwgc_gkyxc_nhwgk_bf16_direct_load.cpp
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xdl/nhwgc_gkyxc_nhwgk/device_grouped_conv2d_bwd_weight_xdl_nhwgc_gkyxc_nhwgk_f16_direct_load.cpp
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xdl/nhwgc_gkyxc_nhwgk/device_grouped_conv2d_bwd_weight_xdl_nhwgc_gkyxc_nhwgk_f16_default_pipev2_instance.cpp
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xdl/nhwgc_gkyxc_nhwgk/device_grouped_conv2d_bwd_weight_xdl_nhwgc_gkyxc_nhwgk_f16_default_pipev5_instance.cpp
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xdl/nhwgc_gkyxc_nhwgk/device_grouped_conv2d_bwd_weight_xdl_nhwgc_gkyxc_nhwgk_f16_pad0_pipev2_instance.cpp
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@@ -0,0 +1,40 @@
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// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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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_v3_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_xdl_nhwgc_gkyxc_nhwgk_bf16_direct_load_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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BF16,
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BF16,
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BF16,
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PassThrough,
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PassThrough,
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PassThrough>>>& instances)
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{
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add_device_operation_instances(
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instances,
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device_grouped_conv_bwd_weight_v3_xdl_c_shuffle_bf16_direct_load_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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BlockGemmPipelineScheduler::Intrawave,
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BlockGemmPipelineVersion::v1>{});
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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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@@ -0,0 +1,40 @@
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// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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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_v3_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_xdl_nhwgc_gkyxc_nhwgk_f16_direct_load_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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add_device_operation_instances(
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instances,
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device_grouped_conv_bwd_weight_v3_xdl_c_shuffle_f16_direct_load_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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BlockGemmPipelineScheduler::Intrawave,
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BlockGemmPipelineVersion::v1>{});
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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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