wehub-resource-sync
146 lines
4.3 KiB
C++
146 lines
4.3 KiB
C++
/* Copyright (c) 2022 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/selected_rows/full_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#endif
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/full_kernel.h"
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namespace phi::sr {
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template <typename T, typename Context>
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void FullKernel(const Context& dev_ctx,
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const IntArray& shape,
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const Scalar& val,
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DataType dtype,
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SelectedRows* out) {
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phi::FullKernel<T>(dev_ctx, shape, val, dtype, out->mutable_value());
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}
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template <typename T, typename Context>
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void FullWithTensorKernel(const Context& dev_ctx,
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const DenseTensor& value,
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const IntArray& shape,
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DataType dtype,
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SelectedRows* out) {
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phi::FullWithTensorKernel<T>(
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dev_ctx, value, shape, dtype, out->mutable_value());
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}
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} // namespace phi::sr
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PD_REGISTER_KERNEL(full_sr,
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CPU,
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ALL_LAYOUT,
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phi::sr::FullKernel,
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float,
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double,
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uint8_t,
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int16_t,
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int,
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int64_t,
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bool,
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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 defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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PD_REGISTER_KERNEL(full_sr,
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GPU,
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ALL_LAYOUT,
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phi::sr::FullKernel,
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float,
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double,
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uint8_t,
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int16_t,
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int,
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int64_t,
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bool,
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phi::float16,
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phi::complex64,
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phi::complex128) {}
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#endif
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#if defined(PADDLE_WITH_XPU)
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PD_REGISTER_KERNEL(full_sr,
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XPU,
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ALL_LAYOUT,
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phi::sr::FullKernel,
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float,
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uint8_t,
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int16_t,
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int,
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int64_t,
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bool,
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phi::float16) {}
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#endif
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PD_REGISTER_KERNEL(full_with_tensor_sr,
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CPU,
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ALL_LAYOUT,
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phi::sr::FullWithTensorKernel,
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float,
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double,
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uint8_t,
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int16_t,
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int,
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int64_t,
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bool,
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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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kernel->InputAt(0).SetBackend(phi::Backend::CPU);
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}
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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PD_REGISTER_KERNEL(full_with_tensor_sr,
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GPU,
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ALL_LAYOUT,
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phi::sr::FullWithTensorKernel,
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float,
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double,
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uint8_t,
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int16_t,
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int,
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int64_t,
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bool,
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phi::float16,
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phi::complex64,
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phi::complex128) {
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kernel->InputAt(0).SetBackend(phi::Backend::CPU);
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}
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#endif
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#if defined(PADDLE_WITH_XPU)
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PD_REGISTER_KERNEL(full_with_tensor_sr,
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XPU,
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ALL_LAYOUT,
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phi::sr::FullWithTensorKernel,
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float,
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uint8_t,
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int16_t,
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int,
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int64_t,
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bool,
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phi::float16) {
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kernel->InputAt(0).SetBackend(phi::Backend::CPU);
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}
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#endif
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