wehub-resource-sync
79 lines
2.4 KiB
Python
79 lines
2.4 KiB
Python
# Copyright (c) 2023 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 os
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import numpy as np
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import paddle
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import paddle.distributed as dist
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class TestReshardSToP:
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def __init__(self):
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self._shape = eval(os.getenv("shape"))
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self._dtype = os.getenv("dtype")
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self._seeds = eval(os.getenv("seeds"))
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self._backend = os.getenv("backend")
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self._mesh = dist.ProcessMesh([0, 1], dim_names=["x"])
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self._other_mesh = dist.ProcessMesh([1, 0], dim_names=["x"])
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def reshard_same_mesh(self):
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if self._backend == "cpu":
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paddle.set_device("cpu")
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a = paddle.ones(self._shape)
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in_placement = [dist.Shard(0)]
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input_tensor = dist.shard_tensor(
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a, mesh=self._mesh, placements=in_placement
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)
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assert input_tensor._local_shape[0] == self._shape[0] // 2
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out = dist.reshard(
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input_tensor,
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mesh=self._mesh,
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placements=[dist.Partial(dist.ReduceType.kRedSum)],
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)
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if dist.get_rank() == 0:
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np.testing.assert_equal(out._local_value().numpy(), a.numpy())
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else:
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zeros = paddle.zeros(self._shape)
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np.testing.assert_equal(out._local_value().numpy(), zeros.numpy())
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assert np.equal(out.shape, input_tensor.shape).all()
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assert np.equal(out._local_shape, input_tensor.shape).all()
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def reshard_cross_mesh(self):
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if self._backend != "gpu":
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return
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a = paddle.ones([10, 10])
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input_tensor = dist.shard_tensor(
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a, mesh=self._mesh, placements=[dist.Shard(0)]
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)
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dist.reshard(
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input_tensor,
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mesh=self._other_mesh,
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placements=[dist.Partial(dist.ReduceType.kRedSum)],
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)
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def run_test_case(self):
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self.reshard_same_mesh()
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self.reshard_cross_mesh()
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if __name__ == '__main__':
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TestReshardSToP().run_test_case()
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