You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
72 lines
2.4 KiB
72 lines
2.4 KiB
# Copyright (c) 2019 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 unittest
|
|
import os
|
|
import paddle.fluid.core as core
|
|
import paddle.fluid as fluid
|
|
from paddle.distributed.fleet.base.private_helper_function import wait_server_ready
|
|
import paddle
|
|
|
|
paddle.enable_static()
|
|
|
|
|
|
class TestCCommInitOp(unittest.TestCase):
|
|
def setUp(self):
|
|
self.endpoints = os.getenv("PADDLE_TRAINER_ENDPOINTS").split(',')
|
|
self.current_endpoint = os.getenv("PADDLE_CURRENT_ENDPOINT")
|
|
self.nranks = len(self.endpoints)
|
|
self.rank = self.endpoints.index(self.current_endpoint)
|
|
self.gpu_id = int(os.getenv("FLAGS_selected_gpus"))
|
|
self.place = fluid.CUDAPlace(self.gpu_id)
|
|
self.exe = fluid.Executor(self.place)
|
|
self.endpoints.remove(self.current_endpoint)
|
|
self.other_endpoints = self.endpoints
|
|
if self.rank == 0:
|
|
wait_server_ready(self.other_endpoints)
|
|
|
|
def test_specifying_devices(self):
|
|
program = fluid.Program()
|
|
block = program.global_block()
|
|
nccl_id_var = block.create_var(
|
|
name=fluid.unique_name.generate('nccl_id'),
|
|
persistable=True,
|
|
type=fluid.core.VarDesc.VarType.RAW)
|
|
block.append_op(
|
|
type='c_gen_nccl_id',
|
|
inputs={},
|
|
outputs={'Out': nccl_id_var},
|
|
attrs={
|
|
'rank': self.rank,
|
|
'endpoint': self.current_endpoint,
|
|
'other_endpoints': self.other_endpoints
|
|
})
|
|
block.append_op(
|
|
type='c_comm_init',
|
|
inputs={'X': nccl_id_var},
|
|
outputs={},
|
|
attrs={
|
|
'nranks': self.nranks,
|
|
'rank': self.rank,
|
|
'ring_id': 0,
|
|
'device_id': self.gpu_id
|
|
})
|
|
self.exe.run(program)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|