wehub-resource-sync
564 lines
23 KiB
Python
564 lines
23 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 TestReductionSPMDRule(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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x_shape = [64, 32, 48]
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process_mesh = auto.ProcessMesh(mesh=[0, 1, 2, 3])
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x_tensor_dist_attr = TensorDistAttr()
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x_tensor_dist_attr.dims_mapping = [1, 0]
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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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def test_single_mesh_dim(self):
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# num_or_sections = 2, axis = 1
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# [0, -1, -1] --> [0, -1, -1], [0, -1, -1], [0, -1, -1]
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self.rule = core.get_phi_spmd_rule("split_with_num")
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self.attrs = OrderedDict()
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self.attrs['num'] = 2
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self.attrs['axis'] = 1
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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['num'], self.attrs['axis']
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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(result_dist_attrs), 2)
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self.assertEqual(len(inferred_input_dist_attrs), 1)
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self.assertEqual(len(inferred_output_dist_attrs), 2)
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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]
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)
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self.assertEqual(
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inferred_output_dist_attrs[1].dims_mapping, [0, -1, -1]
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)
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# num_or_sections = [15, 16, 17], axis = 2
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# [0, -1, -1] --> [0, -1, -1], [0, -1, -1], [0, -1, -1], [0, -1, -1]
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self.rule = core.get_phi_spmd_rule("split")
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self.attrs = OrderedDict()
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self.attrs['sections'] = [15, 16, 17]
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self.attrs['axis'] = 2
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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['sections'], self.attrs['axis']
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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(result_dist_attrs), 2)
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self.assertEqual(len(inferred_input_dist_attrs), 1)
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self.assertEqual(len(inferred_output_dist_attrs), 3)
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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]
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)
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self.assertEqual(
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inferred_output_dist_attrs[1].dims_mapping, [0, -1, -1]
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)
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self.assertEqual(
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inferred_output_dist_attrs[2].dims_mapping, [0, -1, -1]
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)
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# num_or_sections = [15, 16, 17], axis = 2
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# [-1, -1, 0] --> [-1, -1, -1], [-1, -1, -1], [-1, -1, -1], [-1, -1, -1]
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self.attrs = OrderedDict()
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self.attrs['sections'] = [15, 16, 17]
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self.attrs['axis'] = 2
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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['sections'], self.attrs['axis']
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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(result_dist_attrs), 2)
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self.assertEqual(len(inferred_input_dist_attrs), 1)
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self.assertEqual(len(inferred_output_dist_attrs), 3)
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self.assertEqual(
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inferred_input_dist_attrs[0].dims_mapping, [-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]
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)
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self.assertEqual(
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inferred_output_dist_attrs[1].dims_mapping, [-1, -1, -1]
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)
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self.assertEqual(
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inferred_output_dist_attrs[2].dims_mapping, [-1, -1, -1]
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)
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# num_or_sections = 2, axis = -2
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# [0, -1, -1] --> [0, -1, -1], [0, -1, -1], [0, -1, -1]
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self.rule = core.get_phi_spmd_rule("split_with_num")
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self.attrs = OrderedDict()
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self.attrs['num'] = 2
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self.attrs['axis'] = -2
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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['num'], self.attrs['axis']
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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(result_dist_attrs), 2)
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self.assertEqual(len(inferred_input_dist_attrs), 1)
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self.assertEqual(len(inferred_output_dist_attrs), 2)
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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]
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)
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self.assertEqual(
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inferred_output_dist_attrs[1].dims_mapping, [0, -1, -1]
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)
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def test_multi_mesh_dim(self):
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process_mesh = auto.ProcessMesh(mesh=[[0, 1, 2], [3, 4, 5]])
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self.x_dist_tensor_spec.set_process_mesh(process_mesh)
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self.x_dist_tensor_spec.shape = [96, 32, 48, 24]
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# num_or_sections = 3, axis = -1
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# [0, 1, -1, -1] --> [0, 1, -1, -1], [0, 1, -1, -1], [0, 1, -1, -1], [0, 1, -1, -1]
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self.rule = core.get_phi_spmd_rule("split_with_num")
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self.attrs = OrderedDict()
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self.attrs['num'] = 3
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self.attrs['axis'] = -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['num'], self.attrs['axis']
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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(result_dist_attrs), 2)
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self.assertEqual(len(inferred_input_dist_attrs), 1)
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self.assertEqual(len(inferred_output_dist_attrs), 3)
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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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self.assertEqual(
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inferred_output_dist_attrs[1].dims_mapping, [0, 1, -1, -1]
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)
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self.assertEqual(
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inferred_output_dist_attrs[2].dims_mapping, [0, 1, -1, -1]
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)
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# num_or_sections = [32, 32, 32], axis = 0
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# [0, 1, -1, -1] --> [-1, 1, -1, -1], [-1, 1, -1, -1], [-1, 1, -1, -1], [-1, 1, -1, -1]
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self.rule = core.get_phi_spmd_rule("split")
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self.attrs = OrderedDict()
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self.attrs['sections'] = [32, 32, 32]
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self.attrs['axis'] = 0
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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['sections'], self.attrs['axis']
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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(result_dist_attrs), 2)
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self.assertEqual(len(inferred_input_dist_attrs), 1)
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self.assertEqual(len(inferred_output_dist_attrs), 3)
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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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self.assertEqual(
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inferred_output_dist_attrs[1].dims_mapping, [-1, 1, -1, -1]
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)
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self.assertEqual(
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inferred_output_dist_attrs[2].dims_mapping, [-1, 1, -1, -1]
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)
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def test_backward_single_mesh_dim(self):
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x_shape = self.x_dist_tensor_spec.shape
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# num_or_sections = 2, axis = 1
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# [0, -1, -1], [0, -1, -1] --> [0, -1, -1], [0, -1, -1], [0, -1, -1]
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# (outputs --> input, outputs)
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self.rule = core.get_phi_spmd_rule("split_with_num")
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self.attrs = OrderedDict()
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self.attrs['num'] = 2
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self.attrs['axis'] = 1
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self.out_spec_list = []
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self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
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self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
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self.out_spec_list[0].shape = [x_shape[0], x_shape[1] // 2, x_shape[2]]
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self.out_spec_list[1].shape = [x_shape[0], x_shape[1] // 2, x_shape[2]]
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self.out_spec_list[0].set_dims_mapping([0, -1, -1])
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self.out_spec_list[1].set_dims_mapping([0, -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.out_spec_list,
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self.attrs['num'],
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self.attrs['axis'],
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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(result_dist_attrs), 2)
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self.assertEqual(len(inferred_input_dist_attrs), 1)
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self.assertEqual(len(inferred_output_dist_attrs), 2)
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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]
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)
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self.assertEqual(
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inferred_output_dist_attrs[1].dims_mapping, [0, -1, -1]
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)
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# num_or_sections = [15, 16, 17], axis = 2
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# [0, -1, -1], [0, -1, -1], [0, -1, -1] -->
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# [0, -1, -1], [0, -1, -1], [0, -1, -1], [0, -1, -1]
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# (outputs --> input, outputs)
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self.rule = core.get_phi_spmd_rule("split")
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self.attrs = OrderedDict()
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self.attrs['sections'] = [15, 16, 17]
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self.attrs['axis'] = 2
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self.out_spec_list = []
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self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
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self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
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self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
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self.out_spec_list[0].shape = [x_shape[0], x_shape[1], 15]
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self.out_spec_list[1].shape = [x_shape[0], x_shape[1], 16]
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self.out_spec_list[2].shape = [x_shape[0], x_shape[1], 17]
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self.out_spec_list[0].set_dims_mapping([0, -1, -1])
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self.out_spec_list[1].set_dims_mapping([0, -1, -1])
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self.out_spec_list[2].set_dims_mapping([0, -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.out_spec_list,
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self.attrs['sections'],
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self.attrs['axis'],
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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(result_dist_attrs), 2)
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self.assertEqual(len(inferred_input_dist_attrs), 1)
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self.assertEqual(len(inferred_output_dist_attrs), 3)
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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]
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)
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self.assertEqual(
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inferred_output_dist_attrs[1].dims_mapping, [0, -1, -1]
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)
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self.assertEqual(
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inferred_output_dist_attrs[2].dims_mapping, [0, -1, -1]
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)
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# num_or_sections = [15, 16, 17], axis = 2
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# [-1, -1, -1], [-1, -1, -1], [-1, -1, -1] -->
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# [-1, -1, -1], [-1, -1, -1], [-1, -1, -1], [-1, -1, -1]
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# (outputs --> input, outputs)
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self.attrs = OrderedDict()
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self.attrs['sections'] = [15, 16, 17]
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self.attrs['axis'] = 2
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self.out_spec_list = []
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self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
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self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
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self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
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self.out_spec_list[0].shape = [x_shape[0], x_shape[1], 15]
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self.out_spec_list[1].shape = [x_shape[0], x_shape[1], 16]
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self.out_spec_list[2].shape = [x_shape[0], x_shape[1], 17]
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self.out_spec_list[0].set_dims_mapping([-1, -1, -1])
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self.out_spec_list[1].set_dims_mapping([-1, -1, -1])
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self.out_spec_list[2].set_dims_mapping([-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.out_spec_list,
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self.attrs['sections'],
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self.attrs['axis'],
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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(result_dist_attrs), 2)
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self.assertEqual(len(inferred_input_dist_attrs), 1)
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self.assertEqual(len(inferred_output_dist_attrs), 3)
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self.assertEqual(
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inferred_input_dist_attrs[0].dims_mapping, [-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]
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)
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self.assertEqual(
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inferred_output_dist_attrs[1].dims_mapping, [-1, -1, -1]
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)
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self.assertEqual(
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inferred_output_dist_attrs[2].dims_mapping, [-1, -1, -1]
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)
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# num_or_sections = 2, axis = -2
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# [0, -1, -1], [0, -1, -1] --> [0, -1, -1], [0, -1, -1], [0, -1, -1]
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# (outputs --> input, outputs)
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self.rule = core.get_phi_spmd_rule("split_with_num")
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self.attrs = OrderedDict()
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self.attrs['num'] = 2
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self.attrs['axis'] = -2
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self.out_spec_list = []
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self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
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self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
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self.out_spec_list[0].shape = [x_shape[0], x_shape[1] // 2, x_shape[2]]
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self.out_spec_list[1].shape = [x_shape[0], x_shape[1] // 2, x_shape[2]]
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self.out_spec_list[0].set_dims_mapping([0, -1, -1])
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self.out_spec_list[1].set_dims_mapping([0, -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.out_spec_list,
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self.attrs['num'],
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self.attrs['axis'],
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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(result_dist_attrs), 2)
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self.assertEqual(len(inferred_input_dist_attrs), 1)
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self.assertEqual(len(inferred_output_dist_attrs), 2)
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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]
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)
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self.assertEqual(
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inferred_output_dist_attrs[1].dims_mapping, [0, -1, -1]
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)
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# num_or_sections = 2, axis = -2
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# [-1, 0, -1], [-1, -1, -1] --> [-1, -1, -1], [-1, -1, -1], [-1, -1, -1]
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# (outputs --> input, outputs)
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self.rule = core.get_phi_spmd_rule("split_with_num")
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self.attrs = OrderedDict()
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self.attrs['num'] = 2
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self.attrs['axis'] = -2
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self.out_spec_list = []
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self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
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self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
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self.out_spec_list[0].shape = [x_shape[0], x_shape[1] // 2, x_shape[2]]
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self.out_spec_list[1].shape = [x_shape[0], x_shape[1] // 2, x_shape[2]]
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self.out_spec_list[0].set_dims_mapping([-1, 0, -1])
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self.out_spec_list[1].set_dims_mapping([-1, -1, -1])
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result_dist_attrs = self.rule.infer_backward(
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self.x_dist_tensor_spec,
|
|
self.out_spec_list,
|
|
self.attrs['num'],
|
|
self.attrs['axis'],
|
|
)
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(len(result_dist_attrs), 2)
|
|
self.assertEqual(len(inferred_input_dist_attrs), 1)
|
|
self.assertEqual(len(inferred_output_dist_attrs), 2)
|
|
|
|
self.assertEqual(
|
|
inferred_input_dist_attrs[0].dims_mapping, [-1, -1, -1]
|
|
)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [-1, -1, -1]
|
|
)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[1].dims_mapping, [-1, -1, -1]
|
|
)
|
|
|
|
def test_backward_multi_mesh_dim(self):
|
|
x_shape = [96, 32, 48, 24]
|
|
process_mesh = auto.ProcessMesh(mesh=[[0, 1, 2], [3, 4, 5]])
|
|
self.x_dist_tensor_spec.set_process_mesh(process_mesh)
|
|
self.x_dist_tensor_spec.shape = x_shape
|
|
|
|
# num_or_sections = 3, axis = -1
|
|
# [0, 1, -1, -1], [0, 1, -1, -1], [0, 1, -1, -1] -->
|
|
# [0, 1, -1, -1], [0, 1, -1, -1], [0, 1, -1, -1], [0, 1, -1, -1]
|
|
# (outputs --> input, outputs)
|
|
self.rule = core.get_phi_spmd_rule("split_with_num")
|
|
self.attrs = OrderedDict()
|
|
self.attrs['num'] = 3
|
|
self.attrs['axis'] = -1
|
|
self.out_spec_list = []
|
|
self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
|
|
self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
|
|
self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
|
|
self.out_spec_list[0].shape = [
|
|
x_shape[0],
|
|
x_shape[1],
|
|
x_shape[2],
|
|
x_shape[3] // 3,
|
|
]
|
|
self.out_spec_list[1].shape = [
|
|
x_shape[0],
|
|
x_shape[1],
|
|
x_shape[2],
|
|
x_shape[3] // 3,
|
|
]
|
|
self.out_spec_list[2].shape = [
|
|
x_shape[0],
|
|
x_shape[1],
|
|
x_shape[2],
|
|
x_shape[3] // 3,
|
|
]
|
|
self.out_spec_list[0].set_dims_mapping([0, 1, -1, -1])
|
|
self.out_spec_list[1].set_dims_mapping([0, 1, -1, -1])
|
|
self.out_spec_list[2].set_dims_mapping([0, 1, -1, -1])
|
|
result_dist_attrs = self.rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.out_spec_list,
|
|
self.attrs['num'],
|
|
self.attrs['axis'],
|
|
)
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(len(result_dist_attrs), 2)
|
|
self.assertEqual(len(inferred_input_dist_attrs), 1)
|
|
self.assertEqual(len(inferred_output_dist_attrs), 3)
|
|
|
|
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]
|
|
)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[1].dims_mapping, [0, 1, -1, -1]
|
|
)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[2].dims_mapping, [0, 1, -1, -1]
|
|
)
|
|
|
|
# num_or_sections = [32, 32, 32], axis = 0
|
|
# [-1, 1, -1, -1], [-1, 1, -1, -1], [-1, 1, -1, -1] -->
|
|
# [-1, 1, -1, -1], [-1, 1, -1, -1], [-1, 1, -1, -1], [-1, 1, -1, -1]
|
|
# (outputs --> input, outputs)
|
|
self.rule = core.get_phi_spmd_rule("split")
|
|
self.attrs = OrderedDict()
|
|
self.attrs['sections'] = [32, 32, 32]
|
|
self.attrs['axis'] = 0
|
|
self.out_spec_list = []
|
|
self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
|
|
self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
|
|
self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
|
|
self.out_spec_list[0].shape = [32, x_shape[1], x_shape[2], x_shape[3]]
|
|
self.out_spec_list[1].shape = [32, x_shape[1], x_shape[2], x_shape[3]]
|
|
self.out_spec_list[2].shape = [32, x_shape[1], x_shape[2], x_shape[3]]
|
|
self.out_spec_list[0].set_dims_mapping([-1, 1, -1, -1])
|
|
self.out_spec_list[1].set_dims_mapping([-1, 1, -1, -1])
|
|
self.out_spec_list[2].set_dims_mapping([-1, 1, -1, -1])
|
|
result_dist_attrs = self.rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.out_spec_list,
|
|
self.attrs['sections'],
|
|
self.attrs['axis'],
|
|
)
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(len(result_dist_attrs), 2)
|
|
self.assertEqual(len(inferred_input_dist_attrs), 1)
|
|
self.assertEqual(len(inferred_output_dist_attrs), 3)
|
|
|
|
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]
|
|
)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[1].dims_mapping, [-1, 1, -1, -1]
|
|
)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[2].dims_mapping, [-1, 1, -1, -1]
|
|
)
|
|
|
|
# num_or_sections = [32, 32, 32], axis = 2
|
|
# [0, -1, 1, -1], [-1, 1, -1, -1], [-1, -1, -1, -1] -->
|
|
# [0, -1, -1, -1], [0, -1, -1, -1], [0, -1, -1, -1], [0, -1, -1, -1]
|
|
# (outputs --> input, outputs)
|
|
self.rule = core.get_phi_spmd_rule("split")
|
|
self.attrs = OrderedDict()
|
|
self.attrs['sections'] = [32, 32, 32]
|
|
self.attrs['axis'] = 2
|
|
self.out_spec_list = []
|
|
self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
|
|
self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
|
|
self.out_spec_list.append(DistTensorSpec(self.x_dist_tensor_spec))
|
|
self.out_spec_list[0].shape = [32, x_shape[1], x_shape[2], x_shape[3]]
|
|
self.out_spec_list[1].shape = [32, x_shape[1], x_shape[2], x_shape[3]]
|
|
self.out_spec_list[2].shape = [32, x_shape[1], x_shape[2], x_shape[3]]
|
|
self.out_spec_list[0].set_dims_mapping([0, -1, 1, -1])
|
|
self.out_spec_list[1].set_dims_mapping([-1, 1, -1, -1])
|
|
self.out_spec_list[2].set_dims_mapping([-1, -1, -1, -1])
|
|
result_dist_attrs = self.rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.out_spec_list,
|
|
self.attrs['sections'],
|
|
self.attrs['axis'],
|
|
)
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(len(result_dist_attrs), 2)
|
|
self.assertEqual(len(inferred_input_dist_attrs), 1)
|
|
self.assertEqual(len(inferred_output_dist_attrs), 3)
|
|
|
|
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]
|
|
)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[1].dims_mapping, [0, -1, -1, -1]
|
|
)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[2].dims_mapping, [0, -1, -1, -1]
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|