67 lines
2.3 KiB
Python
67 lines
2.3 KiB
Python
# Copyright (c) 2025 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 unittest
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from test_case_base import (
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TestCaseBase,
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test_instruction_translator_cache_context,
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)
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import paddle
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import paddle.distributed as dist
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from paddle.jit.sot.psdb import check_no_breakgraph
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@check_no_breakgraph
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def fn(x, y):
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return x + y
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@unittest.skipIf(
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not paddle.is_compiled_with_distribute(),
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reason='Not compiled with distribute.',
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)
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class TestGuardForDistInfo(TestCaseBase):
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def test_fn(self):
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x = paddle.ones([2, 2])
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x.stop_gradient = False
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y = paddle.zeros([2, 2])
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y.stop_gradient = False
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mesh1 = dist.ProcessMesh([0, 1], dim_names=['x'])
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mesh2 = dist.ProcessMesh([0, 1], dim_names=['y'])
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mesh3 = dist.ProcessMesh([0, 2], dim_names=['x'])
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dist_x1 = dist.shard_tensor(
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x, mesh1, [dist.Replicate()], stop_gradient=False
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)
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dist_y1 = dist.shard_tensor(
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y, mesh1, [dist.Replicate()], stop_gradient=False
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)
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dist_x2 = dist.shard_tensor(x, mesh2, [dist.Replicate()])
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dist_y2 = dist.shard_tensor(y, mesh2, [dist.Replicate()])
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dist_x3 = dist.shard_tensor(x, mesh3, [dist.Replicate()])
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dist_y3 = dist.shard_tensor(y, mesh3, [dist.Replicate()])
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with test_instruction_translator_cache_context() as ctx:
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self.assertEqual(ctx.translate_count, 0)
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self.assert_results(fn, dist_x1, dist_y1)
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self.assertEqual(ctx.translate_count, 1)
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self.assert_results(fn, dist_x2, dist_y2)
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self.assertEqual(ctx.translate_count, 1)
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self.assert_results(fn, dist_x3, dist_y3)
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self.assertEqual(ctx.translate_count, 2)
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if __name__ == "__main__":
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unittest.main()
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