wehub-resource-sync
120 lines
4.5 KiB
Python
120 lines
4.5 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 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 TestNonZeroSPMDRule(unittest.TestCase):
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"""
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Unit tests for nonzero spmd rule.
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"""
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def setUp(self):
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self.rule1 = core.get_phi_spmd_rule("nonzero")
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process_mesh = auto.ProcessMesh(mesh=[[0, 1], [2, 3]])
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x_shape = [16, 16, 16]
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x_tensor_dist_attr = TensorDistAttr()
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x_tensor_dist_attr.process_mesh = process_mesh
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self.x_dist_tensor_spec = DistTensorSpec(x_shape, x_tensor_dist_attr)
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output_shape = [8, 8]
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output_tensor_dist_attr = TensorDistAttr()
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output_tensor_dist_attr.process_mesh = process_mesh
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self.output_dist_tensor_spec = DistTensorSpec(
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output_shape, output_tensor_dist_attr
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)
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def test_infer_forward(self):
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# [1, 1, 1] (x) -->
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# [-1, -1, -1], [-1, -1] (x, output)
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self.x_dist_tensor_spec.set_dims_mapping([1, 1, 1])
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inferred_dist_attr = self.rule1.infer_forward(self.x_dist_tensor_spec)
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self.assertEqual(len(inferred_dist_attr), 2)
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inferred_input_dist_attr = inferred_dist_attr[0]
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inferred_output_dist_attr = inferred_dist_attr[1]
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self.assertEqual(len(inferred_input_dist_attr), 1)
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self.assertEqual(len(inferred_output_dist_attr), 1)
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self.assertEqual(inferred_input_dist_attr[0].dims_mapping, [-1, -1, -1])
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self.assertEqual(inferred_output_dist_attr[0].dims_mapping, [-1, -1])
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# [-1, -1, -1] (x) -->
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# [-1, -1, -1], [-1, -1] (x, output)
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self.x_dist_tensor_spec.set_dims_mapping([-1, -1, -1])
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inferred_dist_attr = self.rule1.infer_forward(self.x_dist_tensor_spec)
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self.assertEqual(len(inferred_dist_attr), 2)
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inferred_input_dist_attr = inferred_dist_attr[0]
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inferred_output_dist_attr = inferred_dist_attr[1]
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self.assertEqual(len(inferred_input_dist_attr), 1)
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self.assertEqual(len(inferred_output_dist_attr), 1)
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self.assertEqual(inferred_input_dist_attr[0].dims_mapping, [-1, -1, -1])
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self.assertEqual(inferred_output_dist_attr[0].dims_mapping, [-1, -1])
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def test_infer_reverse(self):
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# [1, 1, 1], [-1, -1] (x, output) -->
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# [-1, -1, -1], [-1, -1] (x, output)
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self.x_dist_tensor_spec.set_dims_mapping([1, 1, 1])
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self.output_dist_tensor_spec.set_dims_mapping([1, 1])
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inferred_dist_attr = self.rule1.infer_backward(
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self.x_dist_tensor_spec, self.output_dist_tensor_spec
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)
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self.assertEqual(len(inferred_dist_attr), 2)
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inferred_input_dist_attr = inferred_dist_attr[0]
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inferred_output_dist_attr = inferred_dist_attr[1]
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self.assertEqual(len(inferred_input_dist_attr), 1)
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self.assertEqual(len(inferred_output_dist_attr), 1)
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self.assertEqual(inferred_input_dist_attr[0].dims_mapping, [-1, -1, -1])
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self.assertEqual(inferred_output_dist_attr[0].dims_mapping, [-1, -1])
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# [-1, -1, -1], [-1, -1] (x, output) -->
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# [-1, -1, -1], [-1, -1] (x, output)
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self.x_dist_tensor_spec.set_dims_mapping([1, 1, 1])
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self.output_dist_tensor_spec.set_dims_mapping([-1, -1])
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inferred_dist_attr = self.rule1.infer_backward(
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self.x_dist_tensor_spec, self.output_dist_tensor_spec
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)
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self.assertEqual(len(inferred_dist_attr), 2)
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inferred_input_dist_attr = inferred_dist_attr[0]
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inferred_output_dist_attr = inferred_dist_attr[1]
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self.assertEqual(len(inferred_input_dist_attr), 1)
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self.assertEqual(len(inferred_output_dist_attr), 1)
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self.assertEqual(inferred_input_dist_attr[0].dims_mapping, [-1, -1, -1])
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self.assertEqual(inferred_output_dist_attr[0].dims_mapping, [-1, -1])
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if __name__ == "__main__":
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unittest.main()
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