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75 lines
2.4 KiB
75 lines
2.4 KiB
# Copyright (c) 2018 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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from __future__ import print_function
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import numpy as np
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import argparse
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import os
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import sys
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import signal
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import time
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import socket
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from contextlib import closing
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from six import string_types
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import math
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import paddle
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import paddle.fluid as fluid
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import paddle.fluid.profiler as profiler
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import paddle.fluid.unique_name as nameGen
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from paddle.fluid import core
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import unittest
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from multiprocessing import Process
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import paddle.fluid.layers as layers
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from functools import reduce
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from test_collective_base import TestCollectiveRunnerBase, runtime_main
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paddle.enable_static()
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class TestCollectiveSendRecv(TestCollectiveRunnerBase):
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def __init__(self):
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self.global_ring_id = 0
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def get_model(self, main_prog, startup_program):
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ring_id = self.global_ring_id
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with fluid.program_guard(main_prog, startup_program):
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tindata = layers.data(
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name="tindata", shape=[10, 1000], dtype='float64')
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if self.rank == 0:
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main_prog.global_block().append_op(
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type="send_v2",
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inputs={'X': tindata},
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attrs={
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'ring_id': ring_id,
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'peer': 1,
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'use_calc_stream': True
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})
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else:
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main_prog.global_block().append_op(
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type="recv_v2",
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outputs={'Out': tindata},
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attrs={
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'peer': 0,
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'ring_id': ring_id,
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'dtype': tindata.dtype,
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'out_shape': tindata.shape,
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'use_calc_stream': True,
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})
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return tindata
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if __name__ == "__main__":
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runtime_main(TestCollectiveSendRecv, "sendrecv", 0)
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