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https://github.com/ROCm/composable_kernel.git
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Add DeviceBatchedGemmMultipleD_Dl (#732)
* Add DeviceBatchedGemmMultipleD_Dl
* Fix batched_gemm tests
* Fix comments
* test_batched_gemm_multi_d fixes
* Fix args for isSupported batchedGemmMultipleDDl
* Disable tests for gfx90a
[ROCm/composable_kernel commit: fc9f97568f]
This commit is contained in:
Bartłomiej Kocot
@@ -0,0 +1,337 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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#include <cstdlib>
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#include <vector>
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#include <memory>
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#include "ck/ck.hpp"
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#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
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#include "ck/tensor_operation/gpu/device/device_batched_gemm_multi_d.hpp"
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#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
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#include "ck/library/tensor_operation_instance/device_operation_instance_factory.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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void add_device_batched_gemm_multi_d_dl_f16_f16_f16_gkm_gkn_gmn_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmMultiD<Col,
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Row,
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Empty_Tuple,
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Row,
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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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void add_device_batched_gemm_multi_d_dl_f16_f16_f16_gkm_gnk_gmn_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmMultiD<Col,
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Col,
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Empty_Tuple,
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Row,
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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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void add_device_batched_gemm_multi_d_dl_f16_f16_f16_gmk_gkn_gmn_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmMultiD<Row,
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Row,
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Empty_Tuple,
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Row,
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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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void add_device_batched_gemm_multi_d_dl_f16_f16_f16_gmk_gnk_gmn_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmMultiD<Row,
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Col,
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Empty_Tuple,
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Row,
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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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void add_device_batched_gemm_multi_d_dl_f16_f16_f16_gkm_gkn_gmn_irregular_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmMultiD<Col,
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Row,
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Empty_Tuple,
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Row,
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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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void add_device_batched_gemm_multi_d_dl_f16_f16_f16_gkm_gnk_gmn_irregular_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmMultiD<Col,
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Col,
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Empty_Tuple,
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Row,
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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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void add_device_batched_gemm_multi_d_dl_f16_f16_f16_gmk_gkn_gmn_irregular_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmMultiD<Row,
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Row,
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Empty_Tuple,
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Row,
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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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void add_device_batched_gemm_multi_d_dl_f16_f16_f16_gmk_gnk_gmn_irregular_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmMultiD<Row,
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Col,
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Empty_Tuple,
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Row,
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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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void add_device_batched_gemm_multi_d_dl_i8_i8_i8_gkm_gkn_gmn_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmMultiD<Col,
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Row,
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Empty_Tuple,
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Row,
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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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void add_device_batched_gemm_multi_d_dl_i8_i8_i8_gkm_gnk_gmn_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmMultiD<Col,
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Col,
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Empty_Tuple,
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Row,
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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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void add_device_batched_gemm_multi_d_dl_i8_i8_i8_gmk_gkn_gmn_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmMultiD<Row,
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Row,
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Empty_Tuple,
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Row,
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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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void add_device_batched_gemm_multi_d_dl_i8_i8_i8_gmk_gnk_gmn_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmMultiD<Row,
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Col,
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Empty_Tuple,
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Row,
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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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void add_device_batched_gemm_multi_d_dl_i8_i8_i8_gkm_gkn_gmn_irregular_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmMultiD<Col,
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Row,
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Empty_Tuple,
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Row,
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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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void add_device_batched_gemm_multi_d_dl_i8_i8_i8_gkm_gnk_gmn_irregular_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmMultiD<Col,
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Col,
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Empty_Tuple,
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Row,
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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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void add_device_batched_gemm_multi_d_dl_i8_i8_i8_gmk_gkn_gmn_irregular_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmMultiD<Row,
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Row,
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Empty_Tuple,
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Row,
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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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void add_device_batched_gemm_multi_d_dl_i8_i8_i8_gmk_gnk_gmn_irregular_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmMultiD<Row,
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Col,
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Empty_Tuple,
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Row,
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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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template <typename ALayout,
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typename BLayout,
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typename ELayout,
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typename ADataType,
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typename BDataType,
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typename EDataType>
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struct DeviceOperationInstanceFactory<ck::tensor_operation::device::DeviceBatchedGemmMultiD<
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ALayout,
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BLayout,
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Empty_Tuple,
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ELayout,
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ADataType,
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BDataType,
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Empty_Tuple,
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EDataType,
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ck::tensor_operation::element_wise::PassThrough,
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ck::tensor_operation::element_wise::PassThrough,
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ck::tensor_operation::element_wise::PassThrough>>
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{
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using DeviceOp = DeviceBatchedGemmMultiD<ALayout,
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BLayout,
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Empty_Tuple,
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ELayout,
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ADataType,
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BDataType,
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Empty_Tuple,
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EDataType,
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ck::tensor_operation::element_wise::PassThrough,
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ck::tensor_operation::element_wise::PassThrough,
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ck::tensor_operation::element_wise::PassThrough>;
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static auto GetInstances()
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{
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std::vector<std::unique_ptr<DeviceOp>> op_ptrs;
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if constexpr(is_same_v<ADataType, half_t> && is_same_v<BDataType, half_t> &&
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is_same_v<EDataType, half_t>)
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{
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if constexpr(is_same_v<ALayout, Row> && is_same_v<BLayout, Row> &&
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is_same_v<ELayout, Row>)
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{
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add_device_batched_gemm_multi_d_dl_f16_f16_f16_gmk_gkn_gmn_instances(op_ptrs);
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add_device_batched_gemm_multi_d_dl_f16_f16_f16_gmk_gkn_gmn_irregular_instances(
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op_ptrs);
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}
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else if constexpr(is_same_v<ALayout, Row> && is_same_v<BLayout, Col> &&
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is_same_v<ELayout, Row>)
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{
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add_device_batched_gemm_multi_d_dl_f16_f16_f16_gmk_gnk_gmn_instances(op_ptrs);
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add_device_batched_gemm_multi_d_dl_f16_f16_f16_gmk_gnk_gmn_irregular_instances(
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op_ptrs);
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}
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else if constexpr(is_same_v<ALayout, Col> && is_same_v<BLayout, Row> &&
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is_same_v<ELayout, Row>)
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{
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add_device_batched_gemm_multi_d_dl_f16_f16_f16_gkm_gkn_gmn_instances(op_ptrs);
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add_device_batched_gemm_multi_d_dl_f16_f16_f16_gkm_gkn_gmn_irregular_instances(
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op_ptrs);
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}
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else if constexpr(is_same_v<ALayout, Col> && is_same_v<BLayout, Col> &&
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is_same_v<ELayout, Row>)
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{
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add_device_batched_gemm_multi_d_dl_f16_f16_f16_gkm_gnk_gmn_instances(op_ptrs);
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add_device_batched_gemm_multi_d_dl_f16_f16_f16_gkm_gnk_gmn_irregular_instances(
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op_ptrs);
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}
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}
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else if constexpr(is_same_v<ADataType, int8_t> && is_same_v<BDataType, int8_t> &&
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is_same_v<EDataType, int8_t>)
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{
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if constexpr(is_same_v<ALayout, Row> && is_same_v<BLayout, Row> &&
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is_same_v<ELayout, Row>)
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{
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add_device_batched_gemm_multi_d_dl_i8_i8_i8_gmk_gkn_gmn_instances(op_ptrs);
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add_device_batched_gemm_multi_d_dl_i8_i8_i8_gmk_gkn_gmn_irregular_instances(
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op_ptrs);
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}
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else if constexpr(is_same_v<ALayout, Row> && is_same_v<BLayout, Col> &&
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is_same_v<ELayout, Row>)
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{
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add_device_batched_gemm_multi_d_dl_i8_i8_i8_gmk_gnk_gmn_instances(op_ptrs);
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add_device_batched_gemm_multi_d_dl_i8_i8_i8_gmk_gnk_gmn_irregular_instances(
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op_ptrs);
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}
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else if constexpr(is_same_v<ALayout, Col> && is_same_v<BLayout, Row> &&
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is_same_v<ELayout, Row>)
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{
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add_device_batched_gemm_multi_d_dl_i8_i8_i8_gkm_gkn_gmn_instances(op_ptrs);
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add_device_batched_gemm_multi_d_dl_i8_i8_i8_gkm_gkn_gmn_irregular_instances(
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op_ptrs);
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}
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else if constexpr(is_same_v<ALayout, Col> && is_same_v<BLayout, Col> &&
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is_same_v<ELayout, Row>)
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{
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add_device_batched_gemm_multi_d_dl_i8_i8_i8_gkm_gnk_gmn_instances(op_ptrs);
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add_device_batched_gemm_multi_d_dl_i8_i8_i8_gkm_gnk_gmn_irregular_instances(
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op_ptrs);
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}
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}
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return op_ptrs;
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}
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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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