wehub-resource-sync
185 lines
5.4 KiB
C++
185 lines
5.4 KiB
C++
/* 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/empty_kernel.h"
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#include "paddle/common/macros.h"
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#include "paddle/phi/backends/all_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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template <typename T, typename Context>
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void EmptyKernel(const Context& dev_ctx,
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const IntArray& shape,
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DataType dtype UNUSED,
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DenseTensor* out) {
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out->Resize(shape.GetData());
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dev_ctx.template Alloc<T>(out);
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}
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template <typename T, typename Context>
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void EmptyLikeKernel(const Context& dev_ctx,
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const DenseTensor& x UNUSED,
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DataType dtype UNUSED,
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DenseTensor* out) {
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dev_ctx.template Alloc<T>(out);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(empty,
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CPU,
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ALL_LAYOUT,
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phi::EmptyKernel,
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float,
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double,
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int8_t,
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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::float8_e4m3fn,
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phi::float8_e5m2,
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phi::complex64,
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phi::complex128) {}
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PD_REGISTER_KERNEL(empty_like,
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CPU,
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ALL_LAYOUT,
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phi::EmptyLikeKernel,
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float,
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double,
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int8_t,
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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::ALL_BACKEND);
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}
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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PD_REGISTER_KERNEL(empty,
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GPU,
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ALL_LAYOUT,
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phi::EmptyKernel,
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float,
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double,
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int8_t,
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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::float8_e4m3fn,
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phi::float8_e5m2,
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phi::complex64,
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phi::complex128) {}
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PD_REGISTER_KERNEL(empty_like,
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GPU,
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ALL_LAYOUT,
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phi::EmptyLikeKernel,
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float,
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double,
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int8_t,
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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::ALL_BACKEND);
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}
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#endif
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#ifdef PADDLE_WITH_XPU
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PD_REGISTER_KERNEL(empty,
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XPU,
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ALL_LAYOUT,
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phi::EmptyKernel,
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float,
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double,
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int8_t,
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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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PD_REGISTER_KERNEL(empty_like,
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XPU,
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ALL_LAYOUT,
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phi::EmptyLikeKernel,
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float,
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double,
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int8_t,
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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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kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
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}
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#endif
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#if defined(PADDLE_WITH_CUSTOM_DEVICE) && !defined(PADDLE_WITH_CUDA)
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PD_REGISTER_KERNEL(empty,
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Custom,
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ALL_LAYOUT,
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phi::EmptyKernel,
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float,
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double,
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int8_t,
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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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PD_REGISTER_KERNEL(empty_like,
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Custom,
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ALL_LAYOUT,
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phi::EmptyLikeKernel,
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float,
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double,
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int8_t,
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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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kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
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}
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#endif
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