chore: import upstream snapshot with attribution
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// Copyright (c) 2023 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/scalar.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/core/tensor_array.h"
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namespace phi {
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template <typename T, typename Context>
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void CreateArrayKernel(const Context& dev_ctx,
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DataType dtype,
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TensorArray* out);
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template <typename T, typename Context>
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void CreateArrayLikeKernel(const Context& dev_ctx,
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const TensorArray& input,
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float val,
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TensorArray* out);
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template <typename T, typename Context>
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void ArrayLengthKernel(const Context& dev_ctx,
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const TensorArray& x,
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DenseTensor* out);
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template <typename T, typename Context>
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void ArrayReadKernel(const Context& dev_ctx,
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const TensorArray& array,
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const Scalar& i,
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DenseTensor* out);
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template <typename T, typename Context>
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void ArrayWriteKernel(const Context& dev_ctx,
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const TensorArray& array,
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const DenseTensor& x,
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const Scalar& i,
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TensorArray* out);
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template <typename T, typename Context>
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void ArrayToTensorKernel(const Context& dev_ctx,
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const TensorArray& x,
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int axis,
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bool use_stack,
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DenseTensor* out,
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DenseTensor* out_index);
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template <typename T, typename Context>
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void ArrayPopKernel(const Context& dev_ctx,
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const TensorArray& array,
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int index,
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TensorArray* array_out,
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DenseTensor* out);
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} // namespace phi
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