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2026-07-13 12:40:42 +08:00

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C++

// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "paddle/phi/kernels/p_recv_kernel.h"
#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
#if defined(PADDLE_WITH_GLOO)
#include "paddle/phi/core/distributed/gloo_comm_context.h"
#endif
namespace phi {
template <typename T, typename Context>
void PRecvKernel(const Context& dev_ctx UNUSED,
int peer UNUSED,
DataType dtype UNUSED,
const std::vector<int>& out_shape UNUSED,
bool dynamic_shape UNUSED,
DenseTensor* out UNUSED) {
PADDLE_THROW(errors::Unavailable("Do not support recv for cpu kernel now."));
}
template <typename T, typename Context>
void PRecvArrayKernel(const Context& dev_ctx UNUSED,
int peer UNUSED,
DataType dtype UNUSED,
const std::vector<int>& out_shape UNUSED,
TensorArray* out_array UNUSED) {
PADDLE_THROW(
errors::Unavailable("Do not support recv array for cpu kernel now."));
}
} // namespace phi
PD_REGISTER_KERNEL(p_recv,
CPU,
ALL_LAYOUT,
phi::PRecvKernel,
float,
double,
int,
bool,
int8_t,
uint8_t,
int16_t,
int64_t,
phi::float16) {}
PD_REGISTER_KERNEL(p_recv_array,
CPU,
ALL_LAYOUT,
phi::PRecvArrayKernel,
float,
double,
int,
bool,
int8_t,
uint8_t,
int16_t,
int64_t,
phi::float16) {}