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https://github.com/ROCm/composable_kernel.git
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Add fp16/fp8 support into Grouped gemm FixedNK (#874)
* move all arguments into device
* add b2c_tile_map
* add examples
* add SetDeviceKernelArgs
* dedicated fixed_nk solution
* init client api
* add grouped_gemm_bias example
* add a instance
* add instances
* formatting
* fixed cmake
* Update EnableCompilerWarnings.cmake
* Update cmake-ck-dev.sh
* clean; fixed comments
* fixed comment
* add instances for fp32 output
* add instances for fp32 output
* add fp32 out client example
* fixed CI
* init commit for kbatch
* add splitk gridwise
* format
* fixed
* clean deviceop
* clean code
* finish splitk
* fixed instances
* change m_loops to tile_loops
* add setkbatch
* clean code
* add splitK+bias
* add instances
* opt mk_nk instances
* clean examples
* fixed CI
* remove zero
* finished non-zero
* clean
* clean code
* optimized global_barrier
* fixed ci
* fixed CI
* instance and client
* removed AddBias
* format
* fixed CI
* fixed CI
* move 20_grouped_gemm to 21_grouped_gemm
* clean
* formatting
* clean
* clean
* fixed computeType
---------
Co-authored-by: Jing Zhang <jizha@amd.com>
[ROCm/composable_kernel commit: f9d0eddb90]
This commit is contained in:
zjing14
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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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_grouped_gemm_fixed_nk.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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// fp16_output
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void add_device_grouped_gemm_xdl_fixed_nk_f16_f16_f16_mk_kn_mn_instances(
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std::vector<std::unique_ptr<DeviceGroupedGemmFixedNK<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_grouped_gemm_xdl_fixed_nk_f16_f16_f16_mk_nk_mn_instances(
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std::vector<std::unique_ptr<DeviceGroupedGemmFixedNK<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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// fp8_inputB
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void add_device_grouped_gemm_xdl_fixed_nk_f16_f8_f16_mk_kn_mn_instances(
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std::vector<std::unique_ptr<DeviceGroupedGemmFixedNK<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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F8,
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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_grouped_gemm_xdl_fixed_nk_f16_f8_f16_mk_nk_mn_instances(
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std::vector<std::unique_ptr<DeviceGroupedGemmFixedNK<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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F8,
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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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// i8_inputB
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void add_device_grouped_gemm_xdl_fixed_nk_f16_i8_f16_mk_kn_mn_instances(
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std::vector<std::unique_ptr<DeviceGroupedGemmFixedNK<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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I8,
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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_grouped_gemm_xdl_fixed_nk_f16_i8_f16_mk_nk_mn_instances(
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std::vector<std::unique_ptr<DeviceGroupedGemmFixedNK<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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I8,
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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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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<
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ck::tensor_operation::device::DeviceGroupedGemmFixedNK<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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PassThrough,
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PassThrough,
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PassThrough>>
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{
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using DeviceOp = DeviceGroupedGemmFixedNK<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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PassThrough,
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PassThrough,
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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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// fp16_output
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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_grouped_gemm_xdl_fixed_nk_f16_f16_f16_mk_kn_mn_instances(op_ptrs);
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}
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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_grouped_gemm_xdl_fixed_nk_f16_f16_f16_mk_nk_mn_instances(op_ptrs);
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}
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}
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// fp8_input
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if constexpr(is_same_v<ADataType, half_t> && is_same_v<BDataType, f8_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_grouped_gemm_xdl_fixed_nk_f16_f8_f16_mk_kn_mn_instances(op_ptrs);
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}
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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_grouped_gemm_xdl_fixed_nk_f16_f8_f16_mk_nk_mn_instances(op_ptrs);
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}
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}
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// i8_input
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if constexpr(is_same_v<ADataType, half_t> && is_same_v<BDataType, int8_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_grouped_gemm_xdl_fixed_nk_f16_i8_f16_mk_kn_mn_instances(op_ptrs);
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}
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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_grouped_gemm_xdl_fixed_nk_f16_i8_f16_mk_nk_mn_instances(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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