mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-07-19 02:01:01 +00:00
Add merged groups instances for all 2D vanilla grouped conv fwd types and layouts.
This commit is contained in:
@@ -118,6 +118,16 @@ set(GROUPED_CONV2D_FWD
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# NGCHW, GKCYX, NGKHW
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wmma/device_grouped_conv2d_fwd_wmma_cshufflev3_ngchw_gkcyx_ngkhw_bf16_16x16_instance.cpp
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wmma/device_grouped_conv2d_fwd_wmma_cshufflev3_ngchw_gkcyx_ngkhw_f16_16x16_instance.cpp
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# merged groups
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# NHWGC, GKYXC, NHWGK
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wmma/merged_groups/device_grouped_conv2d_fwd_wmma_cshufflev3_merged_groups_nhwgc_gkyxc_nhwgk_bf16_instance.cpp
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wmma/merged_groups/device_grouped_conv2d_fwd_wmma_cshufflev3_merged_groups_nhwgc_gkyxc_nhwgk_f16_instance.cpp
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wmma/merged_groups/device_grouped_conv2d_fwd_wmma_cshufflev3_merged_groups_nhwgc_gkyxc_nhwgk_int8_instance.cpp
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# NGCHW, GKCYX, NGKHW
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wmma/merged_groups/device_grouped_conv2d_fwd_wmma_cshufflev3_merged_groups_ngchw_gkcyx_ngkhw_bf16_instance.cpp
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wmma/merged_groups/device_grouped_conv2d_fwd_wmma_cshufflev3_merged_groups_ngchw_gkcyx_ngkhw_f16_instance.cpp
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# comp
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# NGCHW, GKCYX, NGKHW
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wmma/comp/device_grouped_conv2d_fwd_wmma_cshufflev3_ngchw_gkcyx_ngkhw_f16_comp_instance.cpp
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@@ -0,0 +1,48 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2025, 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_fwd/device_grouped_conv_fwd_wmma_cshufflev3_merged_groups_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_fwd_wmma_cshufflev3_merged_groups_ngchw_gkcyx_ngkhw_bf16_instances(
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std::vector<std::unique_ptr<DeviceGroupedConvFwdMultipleABD<2,
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NGCHW,
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GKCYX,
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Empty_Tuple,
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NGKHW,
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BF16,
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BF16,
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Empty_Tuple,
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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_fwd_wmma_cshufflev3_merged_groups_bf16_instances<2,
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NGCHW,
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GKCYX,
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Empty_Tuple,
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NGKHW,
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ConvFwdDefault>{});
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add_device_operation_instances(
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instances,
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device_grouped_conv_fwd_wmma_cshufflev3_merged_groups_bf16_instances<2,
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NGCHW,
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GKCYX,
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Empty_Tuple,
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NGKHW,
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ConvFwd3x3>{});
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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 +1,48 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2025, 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_fwd/device_grouped_conv_fwd_wmma_cshufflev3_merged_groups_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_fwd_wmma_cshufflev3_merged_groups_ngchw_gkcyx_ngkhw_f16_instances(
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std::vector<std::unique_ptr<DeviceGroupedConvFwdMultipleABD<2,
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NGCHW,
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GKCYX,
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Empty_Tuple,
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NGKHW,
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F16,
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F16,
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Empty_Tuple,
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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_fwd_wmma_cshufflev3_merged_groups_f16_instances<2,
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NGCHW,
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GKCYX,
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Empty_Tuple,
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NGKHW,
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ConvFwdDefault>{});
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add_device_operation_instances(
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instances,
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device_grouped_conv_fwd_wmma_cshufflev3_merged_groups_f16_instances<2,
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NGCHW,
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GKCYX,
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Empty_Tuple,
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NGKHW,
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ConvFwd3x3>{});
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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 +1,50 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2025, 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_fwd/device_grouped_conv_fwd_wmma_cshufflev3_merged_groups_instance.hpp"
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#include "ck/host_utility/device_prop.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_fwd_wmma_cshufflev3_merged_groups_nhwgc_gkyxc_nhwgk_bf16_instances(
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std::vector<std::unique_ptr<DeviceGroupedConvFwdMultipleABD<2,
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NHWGC,
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GKYXC,
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Empty_Tuple,
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NHWGK,
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BF16,
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BF16,
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Empty_Tuple,
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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_fwd_wmma_cshufflev3_merged_groups_bf16_instances<2,
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NHWGC,
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GKYXC,
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Empty_Tuple,
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NHWGK,
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ConvFwdDefault>{});
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add_device_operation_instances(
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instances,
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device_grouped_conv_fwd_wmma_cshufflev3_merged_groups_bf16_instances<2,
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NHWGC,
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GKYXC,
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Empty_Tuple,
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NHWGK,
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ConvFwd3x3>{});
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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 +1,49 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2025, 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_fwd/device_grouped_conv_fwd_wmma_cshufflev3_merged_groups_instance.hpp"
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#include "ck/host_utility/device_prop.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_fwd_wmma_cshufflev3_merged_groups_nhwgc_gkyxc_nhwgk_f16_instances(
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std::vector<std::unique_ptr<DeviceGroupedConvFwdMultipleABD<2,
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NHWGC,
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GKYXC,
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Empty_Tuple,
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NHWGK,
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F16,
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F16,
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Empty_Tuple,
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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_fwd_wmma_cshufflev3_merged_groups_f16_instances<2,
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NHWGC,
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GKYXC,
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Empty_Tuple,
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NHWGK,
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ConvFwdDefault>{});
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add_device_operation_instances(
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instances,
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device_grouped_conv_fwd_wmma_cshufflev3_merged_groups_f16_instances<2,
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NHWGC,
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GKYXC,
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Empty_Tuple,
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NHWGK,
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ConvFwd3x3>{});
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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 +1,48 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2025, 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_fwd/device_grouped_conv_fwd_wmma_cshufflev3_merged_groups_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_fwd_wmma_cshufflev3_merged_groups_nhwgc_gkyxc_nhwgk_int8_instances(
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std::vector<std::unique_ptr<DeviceGroupedConvFwdMultipleABD<2,
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NHWGC,
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GKYXC,
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Empty_Tuple,
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NHWGK,
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int8_t,
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int8_t,
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Empty_Tuple,
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int8_t,
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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_fwd_wmma_cshufflev3_merged_groups_int8_instances<2,
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NHWGC,
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GKYXC,
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Empty_Tuple,
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NHWGK,
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ConvFwdDefault>{});
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add_device_operation_instances(
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instances,
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device_grouped_conv_fwd_wmma_cshufflev3_merged_groups_int8_instances<2,
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NHWGC,
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GKYXC,
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Empty_Tuple,
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NHWGK,
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ConvFwd3x3>{});
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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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