83 lines
2.8 KiB
Python
83 lines
2.8 KiB
Python
# Copyright (c) 2020 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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import numpy as np
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import paddle
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class TestNewGroupAPI:
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def __init__(self):
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paddle.distributed.init_parallel_env()
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d1 = np.array([1, 2, 3])
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d2 = np.array([2, 3, 4])
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self.tensor1 = paddle.to_tensor(d1)
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self.tensor2 = paddle.to_tensor(d2)
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def test_all(self):
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gp = paddle.distributed.new_group([0, 1])
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print("gp info:", gp)
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print("test new group api ok")
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tmp = np.array([0, 0, 0])
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result = paddle.to_tensor(tmp)
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paddle.distributed.scatter(
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result, [self.tensor2, self.tensor1], src=0, group=gp, sync_op=True
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)
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if gp.rank == 0:
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np.testing.assert_array_equal(result, self.tensor2)
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elif gp.rank == 1:
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np.testing.assert_array_equal(result, self.tensor1)
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print("test scatter api ok")
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paddle.distributed.broadcast(result, src=1, group=gp, sync_op=True)
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np.testing.assert_array_equal(result, self.tensor1)
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print("test broadcast api ok")
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paddle.distributed.reduce(result, dst=0, group=gp, sync_op=True)
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if gp.rank == 0:
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np.testing.assert_array_equal(
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result, paddle.add(self.tensor1, self.tensor1)
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)
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elif gp.rank == 1:
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np.testing.assert_array_equal(result, self.tensor1)
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print("test reduce api ok")
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paddle.distributed.all_reduce(result, sync_op=True)
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np.testing.assert_array_equal(
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result,
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paddle.add(paddle.add(self.tensor1, self.tensor1), self.tensor1),
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)
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print("test all_reduce api ok")
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paddle.distributed.wait(result, gp, use_calc_stream=True)
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paddle.distributed.wait(result, gp, use_calc_stream=False)
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print("test wait api ok")
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result = []
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paddle.distributed.all_gather(
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result, self.tensor1, group=gp, sync_op=True
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)
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np.testing.assert_array_equal(result[0], self.tensor1)
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np.testing.assert_array_equal(result[1], self.tensor1)
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print("test all_gather api ok")
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paddle.distributed.barrier(group=gp)
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print("test barrier api ok")
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if __name__ == "__main__":
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gpt = TestNewGroupAPI()
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gpt.test_all()
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