wehub-resource-sync
78 lines
2.5 KiB
Python
78 lines
2.5 KiB
Python
# Copyright (c) 2024 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 paddle
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import paddle.distributed as dist
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from paddle.distributed.auto_parallel.api import dtensor_from_local
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class TestDtensorFromLocalAPI:
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def __init__(self):
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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._shard = eval(os.getenv("shard"))
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self._mesh = dist.ProcessMesh([[0, 1]], dim_names=["x", "y"])
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def run_test_cases(self):
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self.test_case_forward_backward()
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def test_case_forward_backward(self):
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a = paddle.ones([10, 20])
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a.stop_gradient = False
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tensor1 = a + 3
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assert not tensor1.is_dist()
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tensor1.register_hook(self.check_grad_mesh(None, None))
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mesh = self._mesh
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tensor2 = dtensor_from_local(
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tensor1, mesh, [dist.Shard(0), dist.Replicate()]
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)
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assert tensor2.is_dist()
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assert tensor2.process_mesh == mesh
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assert tensor2.placements == [dist.Shard(0), dist.Replicate()]
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tensor2.register_hook(
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self.check_grad_mesh(mesh, [dist.Shard(0), dist.Replicate()])
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)
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tensor3 = tensor2 * 3
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tensor3.register_hook(
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self.check_grad_mesh(mesh, [dist.Shard(0), dist.Replicate()])
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)
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tensor4 = tensor3 + 4
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tensor4.backward()
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def check_grad_mesh(self, mesh, placements):
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def _check_mesh(grad):
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if mesh is None and placements is None:
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assert not grad.is_dist(), "grad.is_dist() is not False"
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else:
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assert grad.process_mesh == mesh, (
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"grad.process_mesh is not equal to mesh"
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)
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assert grad.placements == placements, (
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"grad.placements is not equal to placements"
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)
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return _check_mesh
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if __name__ == '__main__':
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TestDtensorFromLocalAPI().run_test_cases()
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