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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#include "paddle/phi/kernels/p_recv_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#if defined(PADDLE_WITH_GLOO)
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#include "paddle/phi/core/distributed/gloo_comm_context.h"
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#endif
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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 UNUSED,
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int peer UNUSED,
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DataType dtype UNUSED,
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const std::vector<int>& out_shape UNUSED,
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bool dynamic_shape UNUSED,
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DenseTensor* out UNUSED) {
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PADDLE_THROW(errors::Unavailable("Do not support recv for cpu kernel now."));
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}
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template <typename T, typename Context>
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void PRecvArrayKernel(const Context& dev_ctx UNUSED,
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int peer UNUSED,
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DataType dtype UNUSED,
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const std::vector<int>& out_shape UNUSED,
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TensorArray* out_array UNUSED) {
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PADDLE_THROW(
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errors::Unavailable("Do not support recv array for cpu kernel now."));
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}
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} // namespace phi
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PD_REGISTER_KERNEL(p_recv,
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CPU,
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ALL_LAYOUT,
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phi::PRecvKernel,
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float,
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double,
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int,
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bool,
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int8_t,
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uint8_t,
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int16_t,
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int64_t,
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phi::float16) {}
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PD_REGISTER_KERNEL(p_recv_array,
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CPU,
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ALL_LAYOUT,
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phi::PRecvArrayKernel,
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float,
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double,
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int,
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bool,
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int8_t,
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uint8_t,
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int16_t,
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int64_t,
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phi::float16) {}
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