wehub-resource-sync
78 lines
3.0 KiB
Python
78 lines
3.0 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 unittest
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from paddle.distributed.auto_parallel.static.dist_attribute import (
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DistTensorSpec,
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TensorDistAttr,
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)
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from paddle.distributed.fleet import auto
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from paddle.framework import core
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class TestConcatSPMDRule(unittest.TestCase):
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"""
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Unit tests for split spmd rule.
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"""
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def setUp(self):
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self.process_mesh = auto.ProcessMesh(mesh=[[0, 1], [2, 3]])
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self.shapes = [[16, 16, 16], [4, 16, 16], [2, 16, 16]]
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self.dim_mappings = [[-1, 0, 1], [-1, 1, 0], [-1, -1, 0]]
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def build_inputs(self):
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inputs = []
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for shape, dim_mapping in zip(self.shapes, self.dim_mappings):
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tensor_dist_attr = TensorDistAttr()
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tensor_dist_attr.dims_mapping = dim_mapping
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tensor_dist_attr.process_mesh = self.process_mesh
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inputs.append(DistTensorSpec(shape, tensor_dist_attr))
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return inputs
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def build_outputs(self):
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tensor_dist_attr = TensorDistAttr()
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tensor_dist_attr.dims_mapping = [-1, 1, 0]
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tensor_dist_attr.process_mesh = self.process_mesh
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return DistTensorSpec([4, 16, 16], tensor_dist_attr)
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def test_infer_forward(self):
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inputs = self.build_inputs()
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rule = core.get_phi_spmd_rule("concat")
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inferred_dist_attrs = rule.infer_forward(inputs, 0)
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inferred_input_dist_attrs = inferred_dist_attrs[0]
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self.assertEqual(len(inferred_input_dist_attrs), 1)
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inferred_output_dist_attrs = inferred_dist_attrs[1]
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self.assertEqual(len(inferred_output_dist_attrs), 1)
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for input_dist_attr in inferred_input_dist_attrs[0]:
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self.assertEqual(input_dist_attr.dims_mapping, [-1, 1, 0])
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self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, 1, 0])
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def test_infer_backward(self):
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inputs = self.build_inputs()
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output = self.build_outputs()
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rule = core.get_phi_spmd_rule("concat")
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inferred_dist_attrs = rule.infer_backward(inputs, output, 0)
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inferred_input_dist_attrs = inferred_dist_attrs[0]
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self.assertEqual(len(inferred_input_dist_attrs), 1)
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inferred_output_dist_attrs = inferred_dist_attrs[1]
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self.assertEqual(len(inferred_output_dist_attrs), 1)
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for input_dist_attr in inferred_input_dist_attrs[0]:
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self.assertEqual(input_dist_attr.dims_mapping, [-1, 1, 0])
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self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, 1, 0])
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if __name__ == "__main__":
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unittest.main()
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