wehub-resource-sync
124 lines
3.8 KiB
Plaintext
124 lines
3.8 KiB
Plaintext
/* Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/phi/kernels/matmul_kernel.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/impl/matmul_kernel_impl.h"
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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#if CUDA_VERSION >= 12010 && defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 890
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PD_REGISTER_KERNEL(matmul,
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GPU,
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ALL_LAYOUT,
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phi::MatmulKernel,
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float,
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double,
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int32_t,
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int64_t,
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phi::float8_e4m3fn,
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phi::float16,
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phi::bfloat16,
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phi::complex64,
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phi::complex128,
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int8_t) {
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#else
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PD_REGISTER_KERNEL(matmul,
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GPU,
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ALL_LAYOUT,
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phi::MatmulKernel,
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float,
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double,
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int32_t,
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int64_t,
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phi::float16,
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phi::bfloat16,
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phi::complex64,
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phi::complex128,
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int8_t) {
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#endif
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if (kernel_key.dtype() == phi::DataType::INT8) {
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kernel->OutputAt(0).SetDataType(phi::DataType::INT32);
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}
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if (kernel_key.dtype() == phi::DataType::FLOAT8_E4M3FN) {
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kernel->OutputAt(0).SetDataType(phi::DataType::FLOAT16);
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}
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}
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#else
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PD_REGISTER_KERNEL(matmul,
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GPU,
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ALL_LAYOUT,
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phi::MatmulKernel,
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float,
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double,
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int32_t,
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int64_t,
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phi::float16,
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phi::bfloat16,
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phi::complex64,
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phi::complex128) {
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if (kernel_key.dtype() == phi::DataType::INT8) {
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kernel->OutputAt(0).SetDataType(phi::DataType::INT32);
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}
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}
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#endif
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#ifdef PADDLE_WITH_CUDA
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PD_REGISTER_KERNEL(matmul_with_flatten,
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GPU,
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ALL_LAYOUT,
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phi::MatmulWithFlattenKernel,
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int8_t,
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float,
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double,
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phi::bfloat16,
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phi::float16) {
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if (kernel_key.dtype() == phi::DataType::INT8) {
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kernel->OutputAt(0).SetDataType(phi::DataType::INT32);
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}
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}
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#else
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PD_REGISTER_KERNEL(matmul_with_flatten,
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GPU,
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ALL_LAYOUT,
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phi::MatmulWithFlattenKernel,
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float,
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double,
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phi::bfloat16,
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phi::float16) {
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if (kernel_key.dtype() == phi::DataType::INT8) {
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kernel->OutputAt(0).SetDataType(phi::DataType::INT32);
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}
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}
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#endif
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PD_REGISTER_KERNEL(legacy_matmul,
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GPU,
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ALL_LAYOUT,
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phi::LegacyMatmulKernel,
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float,
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double,
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phi::float16,
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int8_t) {
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if (kernel_key.dtype() == phi::DataType::INT8) {
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kernel->OutputAt(0).SetDataType(phi::DataType::INT32);
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}
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}
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PD_REGISTER_KERNEL(
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mm_out_dtype, GPU, ALL_LAYOUT, phi::MmOutDtypeKernel, phi::bfloat16) {
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kernel->OutputAt(0).SetDataType(phi::DataType::FLOAT32);
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}
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