wehub-resource-sync
52 lines
1.8 KiB
C++
52 lines
1.8 KiB
C++
// 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/core/dense_tensor.h"
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#include "paddle/phi/core/tensor_array.h"
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#include "paddle/phi/infermeta/nullary.h"
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namespace phi {
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template <typename T, typename Context>
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void PRecvKernel(const Context& dev_ctx,
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int peer,
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DataType dtype,
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const std::vector<int>& out_shape,
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bool dynamic_shape,
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DenseTensor* out);
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template <typename T, typename Context>
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void PRecv(const Context& dev_ctx,
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int peer,
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const std::vector<int>& out_shape,
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bool dynamic_shape,
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DenseTensor* out) {
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MetaTensor out_meta(*out);
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MetaTensor* out_meta_ptr = &out_meta;
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DataType dtype = CppTypeToDataType<T>::Type();
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PRecvInferMeta(peer, dtype, out_shape, dynamic_shape, out_meta_ptr);
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PRecvKernel<T, Context>(dev_ctx, peer, dtype, out_shape, dynamic_shape, out);
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}
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template <typename T, typename Context>
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void PRecvArrayKernel(const Context& dev_ctx,
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int peer,
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DataType dtype,
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const std::vector<int>& out_shape,
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TensorArray* out);
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} // namespace phi
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