# Copyright (c) 2022 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. from __future__ import print_function import numpy as np import argparse import os import sys import signal import time import socket from contextlib import closing from six import string_types import math import paddle import paddle.fluid as fluid import paddle.fluid.profiler as profiler import paddle.fluid.unique_name as nameGen from paddle.fluid import core import unittest from multiprocessing import Process import paddle.fluid.layers as layers from functools import reduce from test_collective_api_base_mlu import TestCollectiveAPIRunnerBase, runtime_main paddle.enable_static() class TestCollectiveBroadcastAPI(TestCollectiveAPIRunnerBase): def __init__(self): self.global_ring_id = 0 def get_model(self, main_prog, startup_program, rank): with fluid.program_guard(main_prog, startup_program): tindata = layers.data( name="tindata", shape=[10, 1000], dtype="float32") paddle.distributed.broadcast(tindata, src=1) return [tindata] if __name__ == "__main__": runtime_main(TestCollectiveBroadcastAPI, "broadcast")