wehub-resource-sync
66 lines
2.1 KiB
C++
66 lines
2.1 KiB
C++
// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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#pragma once
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#include "paddle/phi/common/int_array.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/core/device_context.h"
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#include "paddle/phi/infermeta/nullary.h"
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#include "paddle/phi/infermeta/unary.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,
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DenseTensor* out);
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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,
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DataType dtype,
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DenseTensor* out);
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template <typename Context>
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DenseTensor Empty(const Context& dev_ctx, DenseTensorMeta&& meta) {
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DenseTensor dense_out;
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dense_out.set_meta(meta);
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dev_ctx.Alloc(&dense_out, dense_out.dtype());
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return dense_out;
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}
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template <typename T, typename Context>
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DenseTensor Empty(const Context& dev_ctx, const IntArray& shape) {
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DenseTensor dense_out;
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MetaTensor meta_out(&dense_out);
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DataType dtype = CppTypeToDataType<T>::Type();
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CreateInferMeta(shape, dtype, &meta_out);
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EmptyKernel<T, Context>(dev_ctx, shape, dtype, &dense_out);
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return dense_out;
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}
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template <typename T, typename Context>
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DenseTensor EmptyLike(const Context& dev_ctx, const DenseTensor& x) {
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DenseTensor dense_out;
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MetaTensor meta_out(&dense_out);
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DataType dtype = CppTypeToDataType<T>::Type();
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CreateLikeInferMeta(x, dtype, &meta_out);
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EmptyLikeKernel<T, Context>(dev_ctx, x, dtype, &dense_out);
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return dense_out;
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}
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} // namespace phi
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