wehub-resource-sync
98 lines
4.0 KiB
Python
98 lines
4.0 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 unittest
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import paddle
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import paddle.distributed as dist
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paddle.enable_static()
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class TestElementwiseSpmdRule(unittest.TestCase):
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def test_build_replicated_program(self):
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main_program = paddle.base.Program()
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with paddle.base.program_guard(main_program):
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mesh = dist.ProcessMesh([0, 1], dim_names=['mp'])
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x = paddle.static.data(name='x', shape=[64, 36])
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y = paddle.static.data(name='y', shape=[64, 36])
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dist_x = dist.shard_tensor(x, mesh, [dist.Replicate()])
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dist_y = dist.shard_tensor(y, mesh, [dist.Replicate()])
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dist_out = dist_x + dist_y
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# element_wise out
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self.assertEqual(dist_out.shape, [64, 36])
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self.assertEqual(dist_out._local_shape, [64, 36])
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self.assertEqual(dist_out.dist_attr().dims_mapping, [-1, -1])
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self.assertTrue(
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isinstance(
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dist_out.dist_attr().process_mesh,
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paddle.base.libpaddle.ProcessMesh,
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)
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)
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self.assertEqual(dist_out.dist_attr().process_mesh.shape, [2])
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self.assertEqual(dist_out.dist_attr().process_mesh.process_ids, [0, 1])
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self.assertEqual(len(dist_out.dist_attr().partial_dims), 0)
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def test_build_col_parallel_program(self):
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main_program = paddle.base.Program()
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with paddle.base.program_guard(main_program):
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mesh = dist.ProcessMesh([0, 1], dim_names=['mp'])
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x = paddle.static.data(name='x', shape=[64, 36])
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y = paddle.static.data(name='y', shape=[64, 36])
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dist_x = dist.shard_tensor(x, mesh, [dist.Replicate()])
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dist_y = dist.shard_tensor(y, mesh, [dist.Shard(1)])
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dist_out = dist_x + dist_y
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# element_wise out
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self.assertEqual(dist_out.shape, [64, 36])
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self.assertEqual(dist_out._local_shape, [64, 18])
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self.assertEqual(dist_out.dist_attr().dims_mapping, [-1, 0])
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self.assertTrue(
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isinstance(
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dist_out.dist_attr().process_mesh,
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paddle.base.libpaddle.ProcessMesh,
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)
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)
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self.assertEqual(dist_out.dist_attr().process_mesh.shape, [2])
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self.assertEqual(dist_out.dist_attr().process_mesh.process_ids, [0, 1])
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self.assertEqual(len(dist_out.dist_attr().partial_dims), 0)
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def test_build_row_parallel_program(self):
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main_program = paddle.base.Program()
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with paddle.base.program_guard(main_program):
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mesh = dist.ProcessMesh([0, 1], dim_names=['mp'])
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x = paddle.static.data(name='x', shape=[64, 36])
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y = paddle.static.data(name='y', shape=[64, 36])
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dist_x = dist.shard_tensor(x, mesh, [dist.Shard(1)])
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dist_y = dist.shard_tensor(y, mesh, [dist.Shard(0)])
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dist_out = dist_x + dist_y
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# element_wise out
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self.assertEqual(dist_out.shape, [64, 36])
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self.assertEqual(dist_out._local_shape, [64, 18])
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self.assertEqual(dist_out.dist_attr().dims_mapping, [-1, 0])
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self.assertTrue(
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isinstance(
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dist_out.dist_attr().process_mesh,
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paddle.base.libpaddle.ProcessMesh,
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)
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)
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self.assertEqual(dist_out.dist_attr().process_mesh.shape, [2])
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self.assertEqual(dist_out.dist_attr().process_mesh.process_ids, [0, 1])
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self.assertEqual(dist_out.dist_attr().partial_dims, set())
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if __name__ == "__main__":
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unittest.main()
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