chore: import upstream snapshot with attribution
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// Copyright (c) 2022 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/api/lib/utils/allocator.h"
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#include "paddle/phi/common/int_array.h"
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#include "paddle/phi/core/string_tensor.h"
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#include "paddle/phi/infermeta/strings/nullary.h"
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#include "paddle/phi/infermeta/strings/unary.h"
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namespace phi {
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namespace strings {
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template <typename Context>
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void EmptyKernel(const Context& dev_ctx,
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const IntArray& shape,
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StringTensor* out);
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template <typename Context>
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void EmptyLikeKernel(const Context& dev_ctx, StringTensor* out);
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// TODO(zhoushunjie): the tensor creation method need to be replaced later,
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// all kernel api call Empty here instead of making tensor self
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template <typename Context>
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StringTensor Empty(const Context& dev_ctx, StringTensorMeta&& meta) {
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auto allocator = std::make_unique<paddle::experimental::DefaultAllocator>(
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dev_ctx.GetPlace());
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phi::StringTensor string_out(allocator.get(), std::move(meta));
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return string_out;
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}
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template <typename Context>
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StringTensor Empty(const Context& dev_ctx) {
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return Empty<Context>(dev_ctx, {{-1}});
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}
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template <typename Context>
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StringTensor Empty(const Context& dev_ctx, const IntArray& shape) {
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StringTensor string_out;
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MetaTensor meta_out(&string_out);
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phi::strings::CreateInferMeta(shape, &meta_out);
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EmptyKernel<Context>(dev_ctx, shape, &string_out);
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return string_out;
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}
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template <typename Context>
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StringTensor EmptyLike(const Context& dev_ctx, const StringTensor& x) {
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StringTensor string_out;
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MetaTensor meta_out(&string_out);
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phi::strings::UnchangedInferMeta(x.meta(), &meta_out);
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EmptyLikeKernel<Context>(dev_ctx, &string_out);
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return string_out;
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}
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} // namespace strings
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} // namespace phi
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