wehub-resource-sync
581 lines
24 KiB
Python
581 lines
24 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 collections import OrderedDict
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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 TestReshapeSPMDRule(unittest.TestCase):
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def setUp(self):
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self.rule = core.get_phi_spmd_rule("reshape")
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x_shape = [6, 12, 48, 24]
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process_mesh = auto.ProcessMesh(mesh=[[0, 1, 2], [3, 4, 5]])
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x_tensor_dist_attr = TensorDistAttr()
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x_tensor_dist_attr.dims_mapping = [-1, -1, -1, -1]
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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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self.attrs = OrderedDict([('shape', [1, 72, 48, 4, 6])])
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def test_reshape_infer_forward(self):
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# shape: [6, 12, 48, 24] --> [1, 72, 48, 4, 6]
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# dims_mapping: [0, -1, 1, -1] --> [0, -1, 1, -1] [-1, 0, 1, -1, -1]
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self.x_dist_tensor_spec.set_dims_mapping([0, -1, 1, -1])
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec, self.attrs['shape']
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(len(inferred_input_dist_attrs), 1)
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self.assertEqual(len(inferred_output_dist_attrs), 1)
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self.assertEqual(
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inferred_input_dist_attrs[0].dims_mapping, [0, -1, 1, -1]
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)
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [-1, 0, 1, -1, -1]
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)
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# shape: [6, 12, 48, 24] --> [1, 72, 48, 4, 6]
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# dims_mapping: [-1, 0, -1, 1] --> [-1, -1, -1, -1] [-1, -1, -1, -1, -1]
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self.x_dist_tensor_spec.set_dims_mapping([-1, 0, -1, 1])
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec, self.attrs['shape']
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(
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inferred_input_dist_attrs[0].dims_mapping, [-1, -1, -1, -1]
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)
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [-1, -1, -1, -1, -1]
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)
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# shape: [6, 12, 48, 24] --> [1, 72, 48, 4, 6]
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# dims_mapping: [1, -1, -1, 0] --> [1, -1, -1, 0] [-1, 1, -1, 0, -1]
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self.x_dist_tensor_spec.set_dims_mapping([1, -1, -1, 0])
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec, self.attrs['shape']
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(
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inferred_input_dist_attrs[0].dims_mapping, [1, -1, -1, 0]
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)
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [-1, 1, -1, 0, -1]
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)
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# shape: [6, 12, 48, 24] --> [3, 24, 6, 8, 24]
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# dims_mapping: [0, 1, -1, -1] --> [-1, -1, -1, -1] [-1, -1, -1, -1, -1]
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self.attrs["shape"] = [3, 24, 6, 8, 24]
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self.x_dist_tensor_spec.set_dims_mapping([0, 1, -1, -1])
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec, self.attrs['shape']
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(
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inferred_input_dist_attrs[0].dims_mapping, [-1, -1, -1, -1]
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)
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [-1, -1, -1, -1, -1]
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)
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# shape: [6, 12, 48, 24] --> [3, 24, 6, 8, 24]
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# dims_mapping: [1, -1, -1, 0] --> [1, -1, -1, 0] [1, -1, -1, -1, 0]
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self.x_dist_tensor_spec.set_dims_mapping([1, -1, -1, 0])
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec, self.attrs['shape']
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(
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inferred_input_dist_attrs[0].dims_mapping, [1, -1, -1, 0]
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)
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [1, -1, -1, -1, 0]
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)
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# shape: [6, 12, 48, 24] --> [3, 24, 6, -1, 24]
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# dims_mapping: [-1, -1, 0, 1] --> [-1, -1, 0, 1], [-1, -1, 0, -1, 1]
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self.attrs["shape"] = [3, 24, 6, -1, 24]
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self.x_dist_tensor_spec.set_dims_mapping([-1, -1, 0, 1])
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec, self.attrs['shape']
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(
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inferred_input_dist_attrs[0].dims_mapping, [-1, -1, 0, 1]
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)
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [-1, -1, 0, -1, 1]
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)
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# shape: [6, 12, 48, 24] --> [1, 72, 0, 4, 6]
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# dims_mapping: [1, -1, -1, 0] --> [1, -1, -1, 0] [-1, 1, -1, 0, -1]
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self.attrs["shape"] = [1, 72, 0, 4, 6]
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self.x_dist_tensor_spec.set_dims_mapping([1, -1, -1, 0])
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec, self.attrs['shape']
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(
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inferred_input_dist_attrs[0].dims_mapping, [1, -1, -1, 0]
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)
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [-1, 1, -1, 0, -1]
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)
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# shape: [6, 12, 48, 24] --> [6, 12, 48, 24]
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# dims_mapping: [-1, -1, 0, 1] --> [-1, -1, 0, 1], [-1, -1, 0, 1]
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self.attrs["shape"] = [6, 12, 48, 24]
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self.x_dist_tensor_spec.set_dims_mapping([-1, -1, 0, 1])
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec, self.attrs['shape']
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(
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inferred_input_dist_attrs[0].dims_mapping, [-1, -1, 0, 1]
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)
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [-1, -1, 0, 1]
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)
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# shape: [6, 12, 48, 24] --> [72, 3, 16, 24]
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# dims_mapping: [0, -1, 1, -1] --> [0, -1, 1, -1], [0, 1, -1, -1]
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self.attrs["shape"] = [72, 3, 16, 24]
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self.x_dist_tensor_spec.set_dims_mapping([0, -1, 1, -1])
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec, self.attrs['shape']
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(
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inferred_input_dist_attrs[0].dims_mapping, [0, -1, 1, -1]
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)
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [0, 1, -1, -1]
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)
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# shape: [6, 12, 48, 24] --> [72, 3, 16, 24]
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# dims_mapping: [1, -1, 0, -1] --> [1, -1, -1, -1], [1, -1, -1, -1]
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self.attrs["shape"] = [72, 3, 16, 24]
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self.x_dist_tensor_spec.set_dims_mapping([1, -1, 0, -1])
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec, self.attrs['shape']
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(
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inferred_input_dist_attrs[0].dims_mapping, [1, -1, -1, -1]
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)
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [1, -1, -1, -1]
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)
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# shape: [1, 72, 48, 4, 6] --> [6, 12, 48, 24]
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# dims_mapping: [-1, 1, -1, 0, -1] --> [-1, 1, -1, 0, -1] [1, -1, -1, 0]
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self.x_dist_tensor_spec.shape = [1, 72, 48, 4, 6]
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self.attrs["shape"] = [6, 12, 48, 24]
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self.x_dist_tensor_spec.set_dims_mapping([-1, 1, -1, 0, -1])
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec, self.attrs['shape']
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(
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inferred_input_dist_attrs[0].dims_mapping, [-1, 1, -1, 0, -1]
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)
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [1, -1, -1, 0]
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)
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# shape: [8, 1024, 3072] --> [0, 0, -1, 192]
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# dims_mapping: [0, 1, -1] --> [0, 1, -1], [0, 1, -1, -1]
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self.x_dist_tensor_spec.shape = [8, 1024, 3072]
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self.attrs["shape"] = [0, 0, -1, 192]
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self.x_dist_tensor_spec.set_dims_mapping([0, 1, -1])
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec, self.attrs['shape']
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, 1, -1])
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [0, 1, -1, -1]
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)
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# shape: [-1, -1, 3072] --> [0, 0, -1, 192]
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# dims_mapping: [0, 1, -1] --> [0, 1, -1], [0, 1, -1, -1]
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self.x_dist_tensor_spec.shape = [-1, -1, 3072]
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self.attrs["shape"] = [0, 0, -1, 192]
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self.x_dist_tensor_spec.set_dims_mapping([0, 1, -1])
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec, self.attrs['shape']
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, 1, -1])
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [0, 1, -1, -1]
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)
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# shape: [-1, -1, 3072] --> [0, 0, -1, 192]
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# dims_mapping: [0, -1, 1] --> [0, -1, -1], [0, -1, -1, -1]
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self.x_dist_tensor_spec.shape = [-1, -1, 3072]
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self.attrs["shape"] = [0, 0, -1, 192]
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self.x_dist_tensor_spec.set_dims_mapping([0, -1, 1])
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec, self.attrs['shape']
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1, -1])
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [0, -1, -1, -1]
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)
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# shape: [-1, -1, 3072] --> [0, 0, -1, 192]
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# dims_mapping: [1, -1, 0] --> [1, -1, 0], [1, -1, 0, -1]
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self.x_dist_tensor_spec.shape = [-1, -1, 3072]
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self.attrs["shape"] = [0, 0, -1, 192]
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self.x_dist_tensor_spec.set_dims_mapping([1, -1, 0])
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec, self.attrs['shape']
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [1, -1, 0])
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [1, -1, 0, -1]
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)
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# shape: [1, 2048, 12288] --> [0, 0, 6, 2048]
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# dims_mapping: [0, -1, 1] --> [0, -1, 1], [0, -1, 1, -1]
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self.x_dist_tensor_spec.shape = [1, 2048, 12288]
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self.attrs["shape"] = [0, 0, 6, 2048]
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self.x_dist_tensor_spec.set_dims_mapping([0, -1, 1])
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec, self.attrs['shape']
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1, 1])
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [0, -1, 1, -1]
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)
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# shape: [6, 12, 48, 24] --> [3, 24, 6, -1, -1]
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# raise error
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self.attrs["shape"] = [3, 24, 6, -1, -1]
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with self.assertRaises(ValueError):
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self.rule.infer_forward(
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self.x_dist_tensor_spec, self.attrs['shape']
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)
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def test_reshape_infer_backward(self):
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process_mesh = auto.ProcessMesh(mesh=[[0, 1, 2], [3, 4, 5]])
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output_tensor_dist_attr = TensorDistAttr()
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output_tensor_dist_attr.dims_mapping = [-1, -1, -1, -1]
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output_tensor_dist_attr.process_mesh = process_mesh
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# shape: [6, 12, 48, 24] --> [1, 72, 48, 4, 6] (input --> output)
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# dims_mapping: [-1, 0, 1, -1, -1] --> [0, -1, 1, -1], [-1, 0, 1, -1, -1] (output --> input, output)
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self.output_dist_tensor_spec = DistTensorSpec(
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[1, 72, 48, 4, 6], output_tensor_dist_attr
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)
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self.output_dist_tensor_spec.set_dims_mapping([-1, 0, 1, -1, -1])
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result_dist_attrs = self.rule.infer_backward(
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self.x_dist_tensor_spec,
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self.output_dist_tensor_spec,
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self.attrs['shape'],
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(len(inferred_input_dist_attrs), 1)
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self.assertEqual(len(inferred_output_dist_attrs), 1)
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self.assertEqual(
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inferred_input_dist_attrs[0].dims_mapping, [0, -1, 1, -1]
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)
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [-1, 0, 1, -1, -1]
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)
|
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# shape: [6, 12, 48, 24] --> [1, 72, 48, 4, 6] (input --> output)
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# dims_mapping: [-1, -1, -1, -1, -1] --> [-1, -1, -1, -1], [-1, -1, -1, -1, -1] (output --> input, output)
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self.output_dist_tensor_spec.shape = [1, 72, 48, 4, 6]
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self.output_dist_tensor_spec.set_dims_mapping([-1, -1, -1, -1, -1])
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result_dist_attrs = self.rule.infer_backward(
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self.x_dist_tensor_spec,
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self.output_dist_tensor_spec,
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self.attrs['shape'],
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(
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inferred_input_dist_attrs[0].dims_mapping, [-1, -1, -1, -1]
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)
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [-1, -1, -1, -1, -1]
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)
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# shape: [6, 12, 48, 24] --> [1, 72, 48, 4, 6] (input --> output)
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# dims_mapping: [-1, 1, -1, 0, -1] --> [1, -1, -1, 0] [-1, 1, -1, 0, -1] (output --> input, output)
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self.output_dist_tensor_spec.shape = [1, 72, 48, 4, 6]
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self.output_dist_tensor_spec.set_dims_mapping([-1, 1, -1, 0, -1])
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result_dist_attrs = self.rule.infer_backward(
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self.x_dist_tensor_spec,
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self.output_dist_tensor_spec,
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self.attrs['shape'],
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)
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inferred_input_dist_attrs = result_dist_attrs[0]
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inferred_output_dist_attrs = result_dist_attrs[1]
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self.assertEqual(
|
|
inferred_input_dist_attrs[0].dims_mapping, [1, -1, -1, 0]
|
|
)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [-1, 1, -1, 0, -1]
|
|
)
|
|
|
|
# shape: [6, 12, 48, 24] --> [3, 24, 6, 8, 24] (input --> output)
|
|
# dims_mapping: [1, -1, -1, -1, 0] --> [1, -1, -1, 0], [1, -1, -1, -1, 0] (output --> input, output)
|
|
self.output_dist_tensor_spec.shape = [3, 24, 6, 8, 24]
|
|
self.output_dist_tensor_spec.set_dims_mapping([1, -1, -1, -1, 0])
|
|
|
|
result_dist_attrs = self.rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.output_dist_tensor_spec,
|
|
self.attrs['shape'],
|
|
)
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(
|
|
inferred_input_dist_attrs[0].dims_mapping, [1, -1, -1, 0]
|
|
)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [1, -1, -1, -1, 0]
|
|
)
|
|
|
|
# shape: [6, 12, 48, 24] --> [3, 24, 6, 8, 24] (input --> output)
|
|
# dims_mapping: [-1, -1, 0, -1, 1] --> [-1, -1, 0, 1], [-1, -1, 0, -1, 1] (output --> input, output)
|
|
self.output_dist_tensor_spec.shape = [3, 24, 6, 8, 24]
|
|
self.output_dist_tensor_spec.set_dims_mapping([-1, -1, 0, -1, 1])
|
|
|
|
result_dist_attrs = self.rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.output_dist_tensor_spec,
|
|
self.attrs['shape'],
|
|
)
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(
|
|
inferred_input_dist_attrs[0].dims_mapping, [-1, -1, 0, 1]
|
|
)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [-1, -1, 0, -1, 1]
|
|
)
|
|
|
|
# shape: [6, 12, 48, 24] --> [6, 12, 48, 24] (input --> output)
|
|
# dims_mapping: [-1, -1, 0, 1] --> [-1, -1, 0, 1], [-1, -1, 0, 1] (output --> input, output)
|
|
self.output_dist_tensor_spec.shape = [6, 12, 48, 24]
|
|
self.output_dist_tensor_spec.set_dims_mapping([-1, -1, 0, 1])
|
|
result_dist_attrs = self.rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.output_dist_tensor_spec,
|
|
self.attrs['shape'],
|
|
)
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(
|
|
inferred_input_dist_attrs[0].dims_mapping, [-1, -1, 0, 1]
|
|
)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [-1, -1, 0, 1]
|
|
)
|
|
|
|
# shape: [6, 12, 48, 24] --> [72, 3, 16, 24] (input --> output)
|
|
# dims_mapping: [0, 1, -1, -1] --> [0, -1, 1, -1], [0, 1, -1, -1] (output --> input, output)
|
|
self.output_dist_tensor_spec.shape = [72, 3, 16, 24]
|
|
self.output_dist_tensor_spec.set_dims_mapping([0, 1, -1, -1])
|
|
result_dist_attrs = self.rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.output_dist_tensor_spec,
|
|
self.attrs['shape'],
|
|
)
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(
|
|
inferred_input_dist_attrs[0].dims_mapping, [0, -1, 1, -1]
|
|
)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [0, 1, -1, -1]
|
|
)
|
|
|
|
# shape: [6, 12, 48, 24] --> [72, 3, 16, 24] (input --> output)
|
|
# dims_mapping: [1, -1, -1, -1] --> [1, -1, -1, -1], [1, -1, -1, -1] (output --> input, output)
|
|
self.output_dist_tensor_spec.shape = [72, 3, 16, 24]
|
|
self.output_dist_tensor_spec.set_dims_mapping([1, -1, -1, -1])
|
|
result_dist_attrs = self.rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.output_dist_tensor_spec,
|
|
self.attrs['shape'],
|
|
)
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(
|
|
inferred_input_dist_attrs[0].dims_mapping, [1, -1, -1, -1]
|
|
)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [1, -1, -1, -1]
|
|
)
|
|
|
|
# shape: [6, 12, 48, 24] --> [1, 72, 48, 4, 6] (input --> output)
|
|
# dims_mapping: [-1, 0, -1, -1, 1] --> [0, -1, -1, -1], [-1, 0, -1, -1, -1] (output --> input, output)
|
|
self.output_dist_tensor_spec.shape = [1, 72, 48, 4, 6]
|
|
self.output_dist_tensor_spec.set_dims_mapping([-1, 0, -1, -1, 1])
|
|
result_dist_attrs = self.rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.output_dist_tensor_spec,
|
|
self.attrs['shape'],
|
|
)
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(
|
|
inferred_input_dist_attrs[0].dims_mapping, [0, -1, -1, -1]
|
|
)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [-1, 0, -1, -1, -1]
|
|
)
|
|
|
|
# shape: [6, 12, 48, 24] --> [3, 24, 6, 8, 24] (input --> output)
|
|
# dims_mapping: [-1, 1, -1, -1, 0] --> [-1, -1, -1, 0], [-1, -1, -1, -1, 0] (output --> input, output)
|
|
self.output_dist_tensor_spec.shape = [3, 24, 6, 8, 24]
|
|
self.output_dist_tensor_spec.set_dims_mapping([-1, 1, -1, -1, 0])
|
|
result_dist_attrs = self.rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.output_dist_tensor_spec,
|
|
self.attrs['shape'],
|
|
)
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(
|
|
inferred_input_dist_attrs[0].dims_mapping, [-1, -1, -1, 0]
|
|
)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [-1, -1, -1, -1, 0]
|
|
)
|
|
|
|
# shape: [8, 1024, 3072] --> [0, 0, -1, 192] (input --> output)
|
|
# dims_mapping: [0, 1, -1, -1] --> [0, 1, -1], [0, 1, -1, -1] (output --> input, output)
|
|
self.x_dist_tensor_spec.shape = [8, 1024, 3072]
|
|
self.output_dist_tensor_spec.shape = [0, 0, -1, 192]
|
|
self.attrs["shape"] = [0, 0, -1, 192]
|
|
self.output_dist_tensor_spec.set_dims_mapping([0, 1, -1, -1])
|
|
result_dist_attrs = self.rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.output_dist_tensor_spec,
|
|
self.attrs['shape'],
|
|
)
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, 1, -1])
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [0, 1, -1, -1]
|
|
)
|
|
|
|
# shape: [-1, -1, 3072] --> [0, 0, -1, 192] (input --> output)
|
|
# dims_mapping: [0, 1, -1, -1] --> [0, 1, -1], [0, 1, -1, -1] (output --> input, output)
|
|
self.x_dist_tensor_spec.shape = [-1, -1, 3072]
|
|
self.output_dist_tensor_spec.shape = [0, 0, -1, 192]
|
|
self.attrs["shape"] = [0, 0, -1, 192]
|
|
self.output_dist_tensor_spec.set_dims_mapping([0, 1, -1, -1])
|
|
result_dist_attrs = self.rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.output_dist_tensor_spec,
|
|
self.attrs['shape'],
|
|
)
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, 1, -1])
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [0, 1, -1, -1]
|
|
)
|
|
|
|
# shape: [-1, -1, 3072] --> [0, 0, -1, 192] (input --> output)
|
|
# dims_mapping: [0, -1, 1, -1] --> [0, -1, 1], [0, -1, 1, -1] (output --> input, output)
|
|
self.x_dist_tensor_spec.shape = [-1, -1, 3072]
|
|
self.output_dist_tensor_spec.shape = [0, 0, -1, 192]
|
|
self.attrs["shape"] = [0, 0, -1, 192]
|
|
self.output_dist_tensor_spec.set_dims_mapping([0, -1, 1, -1])
|
|
result_dist_attrs = self.rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.output_dist_tensor_spec,
|
|
self.attrs['shape'],
|
|
)
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1, 1])
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [0, -1, 1, -1]
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|