wehub-resource-sync
801 lines
35 KiB
Python
801 lines
35 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 TestElementwiseSPMDRule(unittest.TestCase):
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def setUp(self):
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self.unary_rule = core.get_phi_spmd_rule("relu")
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self.binary_rule = core.get_phi_spmd_rule("add")
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x_shape = [64, 36]
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y_shape = [64, 36]
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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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y_tensor_dist_attr = TensorDistAttr()
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y_tensor_dist_attr.dims_mapping = [0, -1]
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y_tensor_dist_attr.process_mesh = process_mesh
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self.y_dist_tensor_spec = DistTensorSpec(y_shape, y_tensor_dist_attr)
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self.out_dist_tensor_spec = DistTensorSpec(self.x_dist_tensor_spec)
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self.attrs = []
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def test_single_mesh_dim(self):
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# [0, -1], [-1, -1] --> [0, -1], [0, -1], [0, -1]
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self.x_dist_tensor_spec.set_dims_mapping([0, -1])
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self.y_dist_tensor_spec.set_dims_mapping([-1, -1])
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result_dist_attrs = self.binary_rule.infer_forward(
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self.x_dist_tensor_spec, self.y_dist_tensor_spec
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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])
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self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1])
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self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1])
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# [0, -1], [-1, 0] --> [0, -1], [0, -1], [0, -1]
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self.x_dist_tensor_spec.set_dims_mapping([0, -1])
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self.y_dist_tensor_spec.set_dims_mapping([-1, 0])
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result_dist_attrs = self.binary_rule.infer_forward(
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self.x_dist_tensor_spec, self.y_dist_tensor_spec
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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])
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self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1])
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self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1])
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# [-1, -1], [-1, -1] --> [-1, -1], [-1, -1], [-1, -1]
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self.x_dist_tensor_spec.set_dims_mapping([-1, -1])
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self.y_dist_tensor_spec.set_dims_mapping([-1, -1])
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result_dist_attrs = self.binary_rule.infer_forward(
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self.x_dist_tensor_spec, self.y_dist_tensor_spec
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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])
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self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1, -1])
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self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, -1])
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# [-1, 0]--> [-1, 0], [-1, 0]
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self.x_dist_tensor_spec.set_dims_mapping([-1, 0])
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result_dist_attrs = self.unary_rule.infer_forward(
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self.x_dist_tensor_spec
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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, 0])
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self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, 0])
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def test_single_mesh_dim_broadcast(self):
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self.x_dist_tensor_spec.shape = [64, 36, 12]
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self.y_dist_tensor_spec.shape = [12]
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# [0, -1, -1], [-1] --> [0, -1, -1], [-1], [0, -1, -1]
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self.x_dist_tensor_spec.set_dims_mapping([0, -1, -1])
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self.y_dist_tensor_spec.set_dims_mapping([-1])
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resulted_dist_attrs = self.binary_rule.infer_forward(
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self.x_dist_tensor_spec, self.y_dist_tensor_spec
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)
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inferred_input_dist_attrs = resulted_dist_attrs[0]
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inferred_output_dist_attrs = resulted_dist_attrs[1]
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self.assertEqual(len(resulted_dist_attrs), 2)
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self.assertEqual(len(inferred_input_dist_attrs), 2)
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self.assertEqual(len(inferred_output_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(inferred_input_dist_attrs[1].dims_mapping, [-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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# [-1, 0, -1], [-1] --> [-1, 0, -1], [-1], [-1, 0, -1]
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self.x_dist_tensor_spec.set_dims_mapping([-1, 0, -1])
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self.y_dist_tensor_spec.set_dims_mapping([-1])
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resulted_dist_attrs = self.binary_rule.infer_forward(
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self.x_dist_tensor_spec, self.y_dist_tensor_spec
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)
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inferred_input_dist_attrs = resulted_dist_attrs[0]
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inferred_output_dist_attrs = resulted_dist_attrs[1]
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self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0, -1])
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self.assertEqual((inferred_input_dist_attrs[1].dims_mapping), [-1])
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [-1, 0, -1]
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)
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# [-1, -1, 0], [-1] --> [-1, -1, 0], [0], [-1, -1, 0]
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self.x_dist_tensor_spec.set_dims_mapping([-1, -1, 0])
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self.y_dist_tensor_spec.set_dims_mapping([-1])
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resulted_dist_attrs = self.binary_rule.infer_forward(
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self.x_dist_tensor_spec, self.y_dist_tensor_spec
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)
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inferred_input_dist_attrs = resulted_dist_attrs[0]
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inferred_output_dist_attrs = resulted_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((inferred_input_dist_attrs[1].dims_mapping), [0])
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [-1, -1, 0]
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)
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# [-1, -1, -1], [0] --> [-1, -1, 0], [0], [-1, -1, 0]
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self.x_dist_tensor_spec.set_dims_mapping([-1, -1, -1])
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self.y_dist_tensor_spec.set_dims_mapping([0])
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resulted_dist_attrs = self.binary_rule.infer_forward(
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self.x_dist_tensor_spec, self.y_dist_tensor_spec
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)
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inferred_input_dist_attrs = resulted_dist_attrs[0]
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inferred_output_dist_attrs = resulted_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(inferred_input_dist_attrs[1].dims_mapping, [0])
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [-1, -1, 0]
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)
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self.x_dist_tensor_spec.shape = [64, 36, 12]
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self.y_dist_tensor_spec.shape = [1, 12]
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# [-1, 0, -1], [-1, -1] --> [-1, 0, -1], [-1, -1], [-1, 0, -1]
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self.x_dist_tensor_spec.set_dims_mapping([-1, 0, -1])
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self.y_dist_tensor_spec.set_dims_mapping([-1, -1])
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resulted_dist_attrs = self.binary_rule.infer_forward(
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self.x_dist_tensor_spec, self.y_dist_tensor_spec
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)
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inferred_input_dist_attrs = resulted_dist_attrs[0]
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inferred_output_dist_attrs = resulted_dist_attrs[1]
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self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0, -1])
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self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1, -1])
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [-1, 0, -1]
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)
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self.x_dist_tensor_spec.shape = [64, 1, 1, 12]
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self.y_dist_tensor_spec.shape = [64, 32, 12]
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# [0, -1, -1, -1], [-1, -1, -1] --> [0, -1, -1, -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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self.y_dist_tensor_spec.set_dims_mapping([-1, -1, -1])
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resulted_dist_attrs = self.binary_rule.infer_forward(
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self.x_dist_tensor_spec, self.y_dist_tensor_spec
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)
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inferred_input_dist_attrs = resulted_dist_attrs[0]
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inferred_output_dist_attrs = resulted_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_input_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[0].dims_mapping, [0, -1, -1, -1]
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)
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# [-1, -1, -1, -1], [0, -1, -1] --> [-1, -1, -1, -1], [0, -1, -1], [-1, 0, -1, -1]
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self.x_dist_tensor_spec.set_dims_mapping([-1, -1, -1, -1])
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self.y_dist_tensor_spec.set_dims_mapping([0, -1, -1])
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resulted_dist_attrs = self.binary_rule.infer_forward(
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self.x_dist_tensor_spec, self.y_dist_tensor_spec
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)
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inferred_input_dist_attrs = resulted_dist_attrs[0]
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inferred_output_dist_attrs = resulted_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(inferred_input_dist_attrs[1].dims_mapping, [0, -1, -1])
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [-1, -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([[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.y_dist_tensor_spec.set_process_mesh(process_mesh)
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self.x_dist_tensor_spec.shape = [96, 24, 48]
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self.y_dist_tensor_spec.shape = [96, 24, 48]
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# [0, 1, -1], [-1, -1, -1] --> [0, 1, -1], [0, 1, -1], [0, 1, -1]
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self.x_dist_tensor_spec.set_dims_mapping([0, 1, -1])
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self.y_dist_tensor_spec.set_dims_mapping([-1, -1, -1])
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resulted_dist_attrs = self.binary_rule.infer_forward(
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self.x_dist_tensor_spec, self.y_dist_tensor_spec
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)
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inferred_input_dist_attrs = resulted_dist_attrs[0]
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inferred_output_dist_attrs = resulted_dist_attrs[1]
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self.assertEqual(len(resulted_dist_attrs), 2)
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self.assertEqual(len(inferred_input_dist_attrs), 2)
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self.assertEqual(len(inferred_output_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(inferred_input_dist_attrs[1].dims_mapping, [0, 1, -1])
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self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, 1, -1])
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# [0, -1, -1], [-1, 1, 0] --> [0, 1, -1], [0, 1, -1], [0, 1, -1]
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self.x_dist_tensor_spec.set_dims_mapping([0, -1, -1])
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self.y_dist_tensor_spec.set_dims_mapping([-1, 1, 0])
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resulted_dist_attrs = self.binary_rule.infer_forward(
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self.x_dist_tensor_spec, self.y_dist_tensor_spec
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)
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inferred_input_dist_attrs = resulted_dist_attrs[0]
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inferred_output_dist_attrs = resulted_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(inferred_input_dist_attrs[1].dims_mapping, [0, 1, -1])
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self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, 1, -1])
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def test_multi_mesh_dim_broadcast(self):
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process_mesh = auto.ProcessMesh([[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.y_dist_tensor_spec.set_process_mesh(process_mesh)
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self.x_dist_tensor_spec.shape = [96, 24, 48]
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self.y_dist_tensor_spec.shape = [48]
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# [0, -1, -1], [1] --> [0, -1, 1], [1], [0, -1, 1]
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self.x_dist_tensor_spec.set_dims_mapping([0, -1, -1])
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self.y_dist_tensor_spec.set_dims_mapping([1])
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resulted_dist_attrs = self.binary_rule.infer_forward(
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self.x_dist_tensor_spec, self.y_dist_tensor_spec
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)
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inferred_input_dist_attrs = resulted_dist_attrs[0]
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inferred_output_dist_attrs = resulted_dist_attrs[1]
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self.assertEqual(len(resulted_dist_attrs), 2)
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self.assertEqual(len(inferred_input_dist_attrs), 2)
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self.assertEqual(len(inferred_output_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(inferred_input_dist_attrs[1].dims_mapping, [1])
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self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1, 1])
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# [0, 1, -1], [0] --> [0, 1, -1], [-1], [0, 1, -1]
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self.x_dist_tensor_spec.set_dims_mapping([0, 1, -1])
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self.y_dist_tensor_spec.set_dims_mapping([0])
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resulted_dist_attrs = self.binary_rule.infer_forward(
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self.x_dist_tensor_spec, self.y_dist_tensor_spec
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)
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inferred_input_dist_attrs = resulted_dist_attrs[0]
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inferred_output_dist_attrs = resulted_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(inferred_input_dist_attrs[1].dims_mapping, [-1])
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self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, 1, -1])
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self.x_dist_tensor_spec.shape = [96, 1, 1, 48]
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self.y_dist_tensor_spec.shape = [96, 24, 48]
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# [-1, -1, -1, 1], [0, -1, 1] --> [-1, -1, -1, 1], [0, -1, 1], [-1, 0, -1, 1]
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self.x_dist_tensor_spec.set_dims_mapping([-1, -1, -1, 1])
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self.y_dist_tensor_spec.set_dims_mapping([0, -1, 1])
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resulted_dist_attrs = self.binary_rule.infer_forward(
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self.x_dist_tensor_spec, self.y_dist_tensor_spec
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)
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inferred_input_dist_attrs = resulted_dist_attrs[0]
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inferred_output_dist_attrs = resulted_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(inferred_input_dist_attrs[1].dims_mapping, [0, -1, 1])
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self.assertEqual(
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inferred_output_dist_attrs[0].dims_mapping, [-1, 0, -1, 1]
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)
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def test_backward_single_mesh_dim(self):
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# [0, -1] --> [0, -1], [0, -1], [0, -1] (output --> inputs, output)
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self.out_dist_tensor_spec.set_dims_mapping([0, -1])
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result_dist_attrs = self.binary_rule.infer_backward(
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self.x_dist_tensor_spec,
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self.y_dist_tensor_spec,
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self.out_dist_tensor_spec,
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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])
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self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1])
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self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1])
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# [-1, -1] --> [-1, -1], [-1, -1], [-1, -1] (output --> inputs, output)
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self.out_dist_tensor_spec.set_dims_mapping([-1, -1])
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result_dist_attrs = self.binary_rule.infer_backward(
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self.x_dist_tensor_spec,
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self.y_dist_tensor_spec,
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self.out_dist_tensor_spec,
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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])
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self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1, -1])
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self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, -1])
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# [-1, 0]--> [-1, 0], [-1, 0] (output --> inputs, output)
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self.out_dist_tensor_spec.set_dims_mapping([-1, 0])
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result_dist_attrs = self.unary_rule.infer_backward(
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self.x_dist_tensor_spec, self.out_dist_tensor_spec
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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, 0])
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self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, 0])
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|
|
def test_backward_single_mesh_dim_broadcast(self):
|
|
self.x_dist_tensor_spec.shape = [64, 36, 12]
|
|
self.y_dist_tensor_spec.shape = [12]
|
|
self.out_dist_tensor_spec.shape = [64, 36, 12]
|
|
|
|
# [0, -1, -1] --> [0, -1, -1], [-1], [0, -1, -1] (output --> inputs, output)
|
|
self.out_dist_tensor_spec.set_dims_mapping([0, -1, -1])
|
|
|
|
resulted_dist_attrs = self.binary_rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.y_dist_tensor_spec,
|
|
self.out_dist_tensor_spec,
|
|
)
|
|
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
|
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
|
|
|
self.assertEqual(len(resulted_dist_attrs), 2)
|
|
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
|
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1, -1])
|
|
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1])
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [0, -1, -1]
|
|
)
|
|
|
|
# [-1, 0, -1] --> [-1, 0, -1], [-1], [-1, 0, -1] (output --> inputs, output)
|
|
self.out_dist_tensor_spec.set_dims_mapping([-1, 0, -1])
|
|
|
|
resulted_dist_attrs = self.binary_rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.y_dist_tensor_spec,
|
|
self.out_dist_tensor_spec,
|
|
)
|
|
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
|
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0, -1])
|
|
self.assertEqual((inferred_input_dist_attrs[1].dims_mapping), [-1])
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [-1, 0, -1]
|
|
)
|
|
|
|
# [-1, -1, 0] --> [-1, -1, 0], [0], [-1, -1, 0] (output --> inputs, output)
|
|
self.out_dist_tensor_spec.set_dims_mapping([-1, -1, 0])
|
|
|
|
resulted_dist_attrs = self.binary_rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.y_dist_tensor_spec,
|
|
self.out_dist_tensor_spec,
|
|
)
|
|
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
|
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, -1, 0])
|
|
self.assertEqual((inferred_input_dist_attrs[1].dims_mapping), [0])
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [-1, -1, 0]
|
|
)
|
|
|
|
self.x_dist_tensor_spec.shape = [64, 36, 12]
|
|
self.y_dist_tensor_spec.shape = [1, 12]
|
|
self.out_dist_tensor_spec.shape = [64, 36, 12]
|
|
# [-1, 0, -1] --> [-1, 0, -1], [-1, -1], [-1, 0, -1] (output --> inputs, output)
|
|
self.out_dist_tensor_spec.set_dims_mapping([-1, 0, -1])
|
|
|
|
resulted_dist_attrs = self.binary_rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.y_dist_tensor_spec,
|
|
self.out_dist_tensor_spec,
|
|
)
|
|
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
|
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0, -1])
|
|
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1, -1])
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [-1, 0, -1]
|
|
)
|
|
|
|
self.x_dist_tensor_spec.shape = [64, 1, 1, 12]
|
|
self.y_dist_tensor_spec.shape = [64, 32, 12]
|
|
self.out_dist_tensor_spec.shape = [64, 64, 32, 12]
|
|
# [0, -1, -1, -1] --> [0, -1, -1, -1], [-1, -1, -1], [0, -1, -1, -1] (output --> inputs, output)
|
|
self.out_dist_tensor_spec.set_dims_mapping([0, -1, -1, -1])
|
|
|
|
resulted_dist_attrs = self.binary_rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.y_dist_tensor_spec,
|
|
self.out_dist_tensor_spec,
|
|
)
|
|
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
|
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
|
|
|
self.assertEqual(
|
|
inferred_input_dist_attrs[0].dims_mapping, [0, -1, -1, -1]
|
|
)
|
|
self.assertEqual(
|
|
inferred_input_dist_attrs[1].dims_mapping, [-1, -1, -1]
|
|
)
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [0, -1, -1, -1]
|
|
)
|
|
|
|
# [-1, 0, -1, -1] --> [-1, -1, -1, -1], [0, -1, -1], [-1, 0, -1, -1] (output --> inputs, output)
|
|
self.out_dist_tensor_spec.set_dims_mapping([-1, 0, -1, -1])
|
|
|
|
resulted_dist_attrs = self.binary_rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.y_dist_tensor_spec,
|
|
self.out_dist_tensor_spec,
|
|
)
|
|
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
|
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
|
|
|
self.assertEqual(
|
|
inferred_input_dist_attrs[0].dims_mapping, [-1, -1, -1, -1]
|
|
)
|
|
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1, -1])
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [-1, -0, -1, -1]
|
|
)
|
|
|
|
def test_backward_multi_mesh_dim(self):
|
|
process_mesh = auto.ProcessMesh([[0, 1, 2], [3, 4, 5]])
|
|
self.x_dist_tensor_spec.set_process_mesh(process_mesh)
|
|
self.y_dist_tensor_spec.set_process_mesh(process_mesh)
|
|
self.x_dist_tensor_spec.shape = [96, 24, 48]
|
|
self.y_dist_tensor_spec.shape = [96, 24, 48]
|
|
self.out_dist_tensor_spec.shape = [96, 24, 48]
|
|
|
|
# [0, 1, -1] --> [0, 1, -1], [0, 1, -1], [0, 1, -1] (output --> inputs, output)
|
|
self.out_dist_tensor_spec.set_dims_mapping([0, 1, -1])
|
|
|
|
resulted_dist_attrs = self.binary_rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.y_dist_tensor_spec,
|
|
self.out_dist_tensor_spec,
|
|
)
|
|
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
|
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
|
|
|
self.assertEqual(len(resulted_dist_attrs), 2)
|
|
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
|
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, 1, -1])
|
|
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, 1, -1])
|
|
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, 1, -1])
|
|
|
|
def test_backward_multi_mesh_dim_broadcast(self):
|
|
process_mesh = auto.ProcessMesh([[0, 1, 2], [3, 4, 5]])
|
|
self.x_dist_tensor_spec.set_process_mesh(process_mesh)
|
|
self.y_dist_tensor_spec.set_process_mesh(process_mesh)
|
|
self.x_dist_tensor_spec.shape = [96, 24, 48]
|
|
self.y_dist_tensor_spec.shape = [48]
|
|
self.out_dist_tensor_spec.shape = [96, 24, 48]
|
|
|
|
# [0, -1, 1] --> [0, -1, 1], [1], [0, -1, 1] (output --> inputs, output)
|
|
self.out_dist_tensor_spec.set_dims_mapping([0, -1, 1])
|
|
|
|
resulted_dist_attrs = self.binary_rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.y_dist_tensor_spec,
|
|
self.out_dist_tensor_spec,
|
|
)
|
|
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
|
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
|
|
|
self.assertEqual(len(resulted_dist_attrs), 2)
|
|
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
|
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1, 1])
|
|
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [1])
|
|
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1, 1])
|
|
|
|
# [0, 1, -1] --> [0, 1, -1], [-1], [0, 1, -1] (output --> inputs, output)
|
|
self.out_dist_tensor_spec.set_dims_mapping([0, 1, -1])
|
|
|
|
resulted_dist_attrs = self.binary_rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.y_dist_tensor_spec,
|
|
self.out_dist_tensor_spec,
|
|
)
|
|
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
|
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, 1, -1])
|
|
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1])
|
|
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, 1, -1])
|
|
|
|
self.x_dist_tensor_spec.shape = [96, 1, 1, 48]
|
|
self.y_dist_tensor_spec.shape = [96, 24, 48]
|
|
self.out_dist_tensor_spec.shape = [96, 96, 24, 48]
|
|
|
|
# [-1, 0, -1, 1] --> [-1, -1, -1, 1], [0, -1, 1], [-1, 0, -1, 1] (output --> inputs, output)
|
|
self.out_dist_tensor_spec.set_dims_mapping([-1, 0, -1, 1])
|
|
|
|
resulted_dist_attrs = self.binary_rule.infer_backward(
|
|
self.x_dist_tensor_spec,
|
|
self.y_dist_tensor_spec,
|
|
self.out_dist_tensor_spec,
|
|
)
|
|
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
|
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
|
|
|
self.assertEqual(
|
|
inferred_input_dist_attrs[0].dims_mapping, [-1, -1, -1, 1]
|
|
)
|
|
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1, 1])
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [-1, 0, -1, 1]
|
|
)
|
|
|
|
def test_single_mesh_dim_greater_than(self):
|
|
binary_rule = core.get_phi_spmd_rule("greater_than")
|
|
# [0, -1], [-1, -1] --> [0, -1], [0, -1], [0, -1]
|
|
self.x_dist_tensor_spec.set_dims_mapping([0, -1])
|
|
self.y_dist_tensor_spec.set_dims_mapping([-1, -1])
|
|
result_dist_attrs = binary_rule.infer_forward(
|
|
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
|
)
|
|
self.assertEqual(len(result_dist_attrs), 2)
|
|
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
|
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1])
|
|
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1])
|
|
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1])
|
|
|
|
# [0, -1], [-1, 0] --> [0, -1], [0, -1], [0, -1]
|
|
self.x_dist_tensor_spec.set_dims_mapping([0, -1])
|
|
self.y_dist_tensor_spec.set_dims_mapping([-1, 0])
|
|
result_dist_attrs = binary_rule.infer_forward(
|
|
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
|
)
|
|
self.assertEqual(len(result_dist_attrs), 2)
|
|
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
|
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1])
|
|
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1])
|
|
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1])
|
|
|
|
def test_single_mesh_dim_broadcast_greater_than(self):
|
|
binary_rule = core.get_phi_spmd_rule("greater_than")
|
|
self.x_dist_tensor_spec.shape = [1, 64]
|
|
self.y_dist_tensor_spec.shape = [64]
|
|
|
|
# [-1, 0], [-1] --> [-1, 0], [0], [-1, 0]
|
|
self.x_dist_tensor_spec.set_dims_mapping([-1, 0])
|
|
self.y_dist_tensor_spec.set_dims_mapping([-1])
|
|
|
|
resulted_dist_attrs = binary_rule.infer_forward(
|
|
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
|
)
|
|
|
|
self.assertEqual(len(resulted_dist_attrs), 2)
|
|
|
|
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
|
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
|
|
|
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
|
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0])
|
|
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0])
|
|
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, 0])
|
|
|
|
def test_single_mesh_dim_less_than(self):
|
|
binary_rule = core.get_phi_spmd_rule("less_than")
|
|
# [0, -1], [-1, -1] --> [0, -1], [0, -1], [0, -1]
|
|
self.x_dist_tensor_spec.set_dims_mapping([0, -1])
|
|
self.y_dist_tensor_spec.set_dims_mapping([-1, -1])
|
|
result_dist_attrs = binary_rule.infer_forward(
|
|
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
|
)
|
|
self.assertEqual(len(result_dist_attrs), 2)
|
|
|
|
inferred_input_dist_attrs = result_dist_attrs[0]
|
|
inferred_output_dist_attrs = result_dist_attrs[1]
|
|
|
|
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
|
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1])
|
|
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1])
|
|
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1])
|
|
|
|
# [0, -1], [-1, 0] --> [0, -1], [0, -1], [0, -1]
|
|
self.x_dist_tensor_spec.set_dims_mapping([0, -1])
|
|
self.y_dist_tensor_spec.set_dims_mapping([-1, 0])
|
|
result_dist_attrs = binary_rule.infer_forward(
|
|
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
|
)
|
|
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])
|
|
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1])
|
|
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1])
|
|
|
|
def test_single_mesh_dim_broadcast_less_than(self):
|
|
binary_rule = core.get_phi_spmd_rule("less_than")
|
|
self.x_dist_tensor_spec.shape = [1, 64]
|
|
self.y_dist_tensor_spec.shape = [64]
|
|
|
|
# [-1, 0], [-1] --> [-1, 0], [0], [-1, 0]
|
|
self.x_dist_tensor_spec.set_dims_mapping([-1, 0])
|
|
self.y_dist_tensor_spec.set_dims_mapping([-1])
|
|
|
|
resulted_dist_attrs = binary_rule.infer_forward(
|
|
self.x_dist_tensor_spec, self.y_dist_tensor_spec
|
|
)
|
|
|
|
self.assertEqual(len(resulted_dist_attrs), 2)
|
|
|
|
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
|
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
|
|
|
self.assertEqual(len(inferred_input_dist_attrs), 2)
|
|
self.assertEqual(len(inferred_output_dist_attrs), 1)
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0])
|
|
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0])
|
|
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, 0])
|
|
|
|
def test_multi_mesh_dim_with_partial(self):
|
|
process_mesh = auto.ProcessMesh([[0, 1, 2], [3, 4, 5]])
|
|
self.multiply_rule = core.get_phi_spmd_rule("multiply")
|
|
x_shape = [96, 24, 48]
|
|
y_shape = [24, 48]
|
|
|
|
# [0, -1, -1] partial_dim=[1], [-1, 1] --> [0, -1, 1] partial_dim=[], [-1, 1], [0, -1, 1] partial_dim=[]
|
|
x_tensor_dist_attr = TensorDistAttr()
|
|
x_tensor_dist_attr.process_mesh = process_mesh
|
|
x_tensor_dist_attr.dims_mapping = [0, -1, -1]
|
|
x_tensor_dist_attr._set_partial_dims([1])
|
|
x_dist_tensor_spec = DistTensorSpec(x_shape, x_tensor_dist_attr)
|
|
|
|
y_tensor_dist_attr = TensorDistAttr()
|
|
y_tensor_dist_attr.process_mesh = process_mesh
|
|
y_tensor_dist_attr.dims_mapping = [-1, 1]
|
|
y_dist_tensor_spec = DistTensorSpec(y_shape, y_tensor_dist_attr)
|
|
|
|
resulted_dist_attrs = self.multiply_rule.infer_forward(
|
|
x_dist_tensor_spec, y_dist_tensor_spec
|
|
)
|
|
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
|
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [0, -1, 1])
|
|
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1, 1])
|
|
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, -1, 1])
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0]._is_partial(), False)
|
|
self.assertEqual(inferred_input_dist_attrs[1]._is_partial(), False)
|
|
self.assertEqual(inferred_output_dist_attrs[0]._is_partial(), False)
|
|
|
|
# [-1, -1, -1], [-1, 1] partial_dim=[0] --> [-1, -1, 1], [-1, 1] partial_dim=[0], [-1, -1, 1] partial_dim=[0]
|
|
x_tensor_dist_attr = TensorDistAttr()
|
|
x_tensor_dist_attr.process_mesh = process_mesh
|
|
x_tensor_dist_attr.dims_mapping = [-1, -1, -1]
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x_dist_tensor_spec = DistTensorSpec(x_shape, x_tensor_dist_attr)
|
|
|
|
y_tensor_dist_attr = TensorDistAttr()
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|
y_tensor_dist_attr.process_mesh = process_mesh
|
|
y_tensor_dist_attr.dims_mapping = [-1, 1]
|
|
y_tensor_dist_attr._set_partial_dims([0])
|
|
y_dist_tensor_spec = DistTensorSpec(y_shape, y_tensor_dist_attr)
|
|
|
|
resulted_dist_attrs = self.multiply_rule.infer_forward(
|
|
x_dist_tensor_spec, y_dist_tensor_spec
|
|
)
|
|
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
|
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, -1, 1])
|
|
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [-1, 1])
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [-1, -1, 1]
|
|
)
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0]._is_partial(), False)
|
|
self.assertEqual(inferred_input_dist_attrs[1]._is_partial(), True)
|
|
self.assertEqual(inferred_input_dist_attrs[1]._partial_dims(), {0})
|
|
self.assertEqual(inferred_output_dist_attrs[0]._is_partial(), True)
|
|
self.assertEqual(inferred_output_dist_attrs[0]._partial_dims(), {0})
|
|
|
|
# [-1, 0, -1] partial_dim=[1], [-1, 0] partial_dim=[1] --> [-1, 0, -1] partial_dim=[1], [0, -1] partial_dim=[], [-1, 0, -1] partial_dim=[1]
|
|
x_tensor_dist_attr = TensorDistAttr()
|
|
x_tensor_dist_attr.process_mesh = process_mesh
|
|
x_tensor_dist_attr.dims_mapping = [-1, 0, -1]
|
|
x_tensor_dist_attr._set_partial_dims([1])
|
|
x_dist_tensor_spec = DistTensorSpec(x_shape, x_tensor_dist_attr)
|
|
|
|
y_tensor_dist_attr = TensorDistAttr()
|
|
y_tensor_dist_attr.process_mesh = process_mesh
|
|
y_tensor_dist_attr.dims_mapping = [-1, 0]
|
|
y_tensor_dist_attr._set_partial_dims([1])
|
|
y_dist_tensor_spec = DistTensorSpec(y_shape, y_tensor_dist_attr)
|
|
|
|
resulted_dist_attrs = self.multiply_rule.infer_forward(
|
|
x_dist_tensor_spec, y_dist_tensor_spec
|
|
)
|
|
inferred_input_dist_attrs = resulted_dist_attrs[0]
|
|
inferred_output_dist_attrs = resulted_dist_attrs[1]
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0].dims_mapping, [-1, 0, -1])
|
|
self.assertEqual(inferred_input_dist_attrs[1].dims_mapping, [0, -1])
|
|
self.assertEqual(
|
|
inferred_output_dist_attrs[0].dims_mapping, [-1, 0, -1]
|
|
)
|
|
|
|
self.assertEqual(inferred_input_dist_attrs[0]._is_partial(), True)
|
|
self.assertEqual(inferred_input_dist_attrs[0]._partial_dims(), {1})
|
|
self.assertEqual(inferred_input_dist_attrs[1]._is_partial(), False)
|
|
self.assertEqual(inferred_output_dist_attrs[0]._is_partial(), True)
|
|
self.assertEqual(inferred_output_dist_attrs[0]._partial_dims(), {1})
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|