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Batched GEMM Multiple D based on Universal GEMM (#1655)
* Batched GEMM Multiple D based on Universal GEMM Co-authored-by: Jing Zhang <jizhan@fb.com> * CI fixes Co-authored-by: Jing Zhang <jizhan@fb.com> --------- Co-authored-by: Jing Zhang <jizhan@fb.com>
This commit is contained in:
Bartłomiej Kocot
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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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#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/impl/device_batched_gemm_multiple_d_xdl_cshuffle_v3.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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#ifdef CK_ENABLE_BF16
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void add_device_batched_gemm_xdl_universal_bf16_bf16_bf16_mk_nk_mn_comp_default_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmV2MultiD<Row,
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Col,
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Empty_Tuple,
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Row,
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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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void add_device_batched_gemm_xdl_universal_bf16_bf16_bf16_mk_nk_mn_mem_v1_default_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmV2MultiD<Row,
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Col,
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Empty_Tuple,
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Row,
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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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void add_device_batched_gemm_xdl_universal_bf16_bf16_bf16_mk_nk_mn_mem_v2_default_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmV2MultiD<Row,
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Col,
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Empty_Tuple,
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Row,
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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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#endif
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#ifdef CK_ENABLE_FP8
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void add_device_batched_gemm_xdl_universal_f8_f8_bf16_mk_nk_mn_comp_default_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmV2MultiD<Row,
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Col,
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Empty_Tuple,
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Row,
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F8,
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F8,
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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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void add_device_batched_gemm_xdl_universal_f8_f8_bf16_mk_nk_mn_mem_v1_default_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmV2MultiD<Row,
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Col,
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Empty_Tuple,
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Row,
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F8,
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F8,
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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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void add_device_batched_gemm_xdl_universal_f8_f8_bf16_mk_nk_mn_mem_v2_default_instances(
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std::vector<std::unique_ptr<DeviceBatchedGemmV2MultiD<Row,
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Col,
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Empty_Tuple,
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Row,
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F8,
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F8,
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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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#endif
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template <typename ADataType,
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typename BDataType,
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typename DsDataType,
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typename CDataType,
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typename ALayout,
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typename BLayout,
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typename DsLayout,
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typename CLayout>
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struct DeviceOperationInstanceFactory<ck::tensor_operation::device::DeviceBatchedGemmV2MultiD<
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ALayout,
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BLayout,
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DsLayout,
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CLayout,
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ADataType,
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BDataType,
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DsDataType,
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CDataType,
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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 = DeviceBatchedGemmV2MultiD<ALayout,
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BLayout,
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DsLayout,
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CLayout,
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ADataType,
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BDataType,
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DsDataType,
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CDataType,
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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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#ifdef CK_ENABLE_BF16
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if constexpr(is_same_v<ADataType, bhalf_t> && is_same_v<BDataType, bhalf_t> &&
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is_same_v<CDataType, bhalf_t>)
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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<CLayout, Row>)
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{
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add_device_batched_gemm_xdl_universal_bf16_bf16_bf16_mk_nk_mn_comp_default_instances(
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op_ptrs);
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add_device_batched_gemm_xdl_universal_bf16_bf16_bf16_mk_nk_mn_mem_v1_default_instances(
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op_ptrs);
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add_device_batched_gemm_xdl_universal_bf16_bf16_bf16_mk_nk_mn_mem_v2_default_instances(
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op_ptrs);
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}
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}
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#endif
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#ifdef CK_ENABLE_FP8
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if constexpr(is_same_v<ADataType, f8_t> && is_same_v<BDataType, f8_t> &&
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is_same_v<CDataType, bhalf_t>)
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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<CLayout, Row>)
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{
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add_device_batched_gemm_xdl_universal_f8_f8_bf16_mk_nk_mn_comp_default_instances(
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op_ptrs);
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add_device_batched_gemm_xdl_universal_f8_f8_bf16_mk_nk_mn_mem_v1_default_instances(
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op_ptrs);
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add_device_batched_gemm_xdl_universal_f8_f8_bf16_mk_nk_mn_mem_v2_default_instances(
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op_ptrs);
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}
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}
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#endif
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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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