wehub-resource-sync
404 lines
16 KiB
Python
404 lines
16 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 TestFlattenSPMDRule(unittest.TestCase):
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def setUp(self):
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self.rule = core.get_phi_spmd_rule("flatten")
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x_shape = [8, 16, 8, 24]
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process_mesh = auto.ProcessMesh(mesh=[[0, 1, 2, 3], [4, 5, 6, 7]])
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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()
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def test_flatten_infer_forward(self):
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# shape: [8, 16, 8, 24] --> [8, 16 * 8, 24]
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# dims_mapping: [0, -1, -1, 1] --> [0, -1, -1, 1], ([0, -1, 1], [-1, 0, -1, -1, 1] // xshape)
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self.x_dist_tensor_spec.set_dims_mapping([0, -1, -1, 1])
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self.attrs['start_axis'] = 1
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self.attrs['stop_axis'] = 2
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec,
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self.attrs['start_axis'],
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self.attrs['stop_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(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(inferred_output_dist_attrs[0].dims_mapping, [0, -1, 1])
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# shape: [8, 16, 8, 24] --> [8, 16 * 8, 24]
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# dims_mapping: [-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, 1])
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self.attrs['start_axis'] = 1
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self.attrs['stop_axis'] = 2
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec,
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self.attrs['start_axis'],
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self.attrs['stop_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(
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inferred_input_dist_attrs[0].dims_mapping, [-1, 0, -1, 1]
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)
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self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, 0, 1])
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# shape: [8, 16, 8, 24] --> [8, 16 * 8, 24]
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# dims_mapping: [-1, -1, 1, 0] --> [-1, -1, -1, 0] ([ -1, -1, 0])
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self.x_dist_tensor_spec.set_dims_mapping([-1, -1, 1, 0])
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self.attrs['start_axis'] = 1
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self.attrs['stop_axis'] = 2
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec,
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self.attrs['start_axis'],
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self.attrs['stop_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(
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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, 0]
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)
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# shape: [8, 16, 8, 24] --> [8 * 16 * 8 * 24]
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# dims_mapping: [-1, 0, 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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self.attrs['start_axis'] = 0
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self.attrs['stop_axis'] = -1
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec,
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self.attrs['start_axis'],
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self.attrs['stop_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(
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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_output_dist_attrs[0].dims_mapping, [-1])
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# shape: [8, 16, 8, 24] --> [8 * 16 * 8 * 24]
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# dims_mapping: [0, -1, -1, 1] --> [0, -1, -1, -1] ([0])
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self.x_dist_tensor_spec.set_dims_mapping([0, -1, -1, 1])
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self.attrs['start_axis'] = 0
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self.attrs['stop_axis'] = -1
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec,
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self.attrs['start_axis'],
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self.attrs['stop_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(
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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(inferred_output_dist_attrs[0].dims_mapping, [0])
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# shape: [8, 16, 8, 24] --> [8 * 16 * 8 * 24]
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# dims_mapping: [1, 0, -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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self.attrs['start_axis'] = 0
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self.attrs['stop_axis'] = -1
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec,
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self.attrs['start_axis'],
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self.attrs['stop_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(
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inferred_input_dist_attrs[0].multi_dims_mapping,
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[[1, 0], [], [], []],
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)
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self.assertEqual(
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inferred_output_dist_attrs[0].multi_dims_mapping, [[1, 0]]
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)
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# shape: [8, 16, 8, 24] --> [8, 16 * 8 * 24]
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# dims_mapping: [-1, -1, 0, 1] --> [-1, -1, -1, -1] ([-1, -1])
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self.x_dist_tensor_spec.set_dims_mapping([-1, -1, 0, 1])
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self.attrs['start_axis'] = 1
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self.attrs['stop_axis'] = -1
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec,
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self.attrs['start_axis'],
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self.attrs['stop_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(
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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_output_dist_attrs[0].dims_mapping, [-1, -1])
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# shape: [8, 16, 8, 24] --> [8, 16 * 8 * 24]
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# dims_mapping: [-1, 0, -1, 1] --> [-1, 0, -1, -1] ([-1, 0])
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self.x_dist_tensor_spec.set_dims_mapping([-1, 0, -1, 1])
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self.attrs['start_axis'] = 1
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self.attrs['stop_axis'] = -1
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec,
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self.attrs['start_axis'],
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self.attrs['stop_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(
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inferred_input_dist_attrs[0].dims_mapping, [-1, 0, -1, -1]
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)
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self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, 0])
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# shape: [8, 16, 8, 24] --> [8, 16 * 8 * 24]
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# dims_mapping: [0, 1, -1, -1] --> [0, 1, -1, -1] ([0, 1])
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self.x_dist_tensor_spec.set_dims_mapping([0, 1, -1, -1])
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self.attrs['start_axis'] = 1
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self.attrs['stop_axis'] = -1
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result_dist_attrs = self.rule.infer_forward(
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self.x_dist_tensor_spec,
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self.attrs['start_axis'],
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self.attrs['stop_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(
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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(inferred_output_dist_attrs[0].dims_mapping, [0, 1])
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def test_flatten_infer_backward(self):
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process_mesh = auto.ProcessMesh(mesh=[[0, 1, 2, 3], [4, 5, 6, 7]])
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output_tensor_dist_attr = TensorDistAttr()
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output_tensor_dist_attr.dims_mapping = [-1, -1, -1]
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output_tensor_dist_attr.process_mesh = process_mesh
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self.output_dist_tensor_spec = DistTensorSpec(
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[8, 16 * 8, 24], output_tensor_dist_attr
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)
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# shape: [8, 16, 8, 24] --> [8, 16 * 8, 24] (input --> output)
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# dims_mapping: [0, -1, 1] --> [0, -1, -1, 1], [0, -1, 1] (output --> input, output)
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self.output_dist_tensor_spec.shape = [8, 16 * 8, 24]
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self.output_dist_tensor_spec.set_dims_mapping([0, -1, 1])
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self.attrs['start_axis'] = 1
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self.attrs['stop_axis'] = 2
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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['start_axis'],
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self.attrs['stop_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(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(inferred_output_dist_attrs[0].dims_mapping, [0, -1, 1])
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# shape: [8, 16, 8, 24] --> [8, 16 * 8, 24] (input --> output)
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# dims_mapping: [0, 1, -1] --> [0, 1, -1, -1], [0, 1, -1] (output --> input, output)
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self.output_dist_tensor_spec.shape = [8, 16 * 8, 24]
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self.output_dist_tensor_spec.set_dims_mapping([0, 1, -1])
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self.attrs['start_axis'] = 1
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self.attrs['stop_axis'] = 2
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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['start_axis'],
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self.attrs['stop_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(
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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(inferred_output_dist_attrs[0].dims_mapping, [0, 1, -1])
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# shape: [8, 16, 8, 24] --> [8, 16 * 8, 24] (input --> output)
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# dims_mapping: [-1, 0, 1] --> [-1, 0, -1, 1], [-1, 0, 1] (output --> input, output)
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self.output_dist_tensor_spec.shape = [8, 16 * 8, 24]
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self.output_dist_tensor_spec.set_dims_mapping([-1, 0, 1])
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self.attrs['start_axis'] = 1
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self.attrs['stop_axis'] = 2
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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['start_axis'],
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self.attrs['stop_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(
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inferred_input_dist_attrs[0].dims_mapping, [-1, 0, -1, 1]
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)
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self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [-1, 0, 1])
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# shape: [8, 16, 8, 24] --> [8 * 16 * 8 * 24] (input --> output)
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# dims_mapping: [-1] --> [-1, -1, -1, -1], [-1] (output --> input, output)
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self.output_dist_tensor_spec.shape = [8 * 16 * 8 * 24]
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self.output_dist_tensor_spec.set_dims_mapping([-1])
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self.attrs['start_axis'] = 0
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self.attrs['stop_axis'] = -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['start_axis'],
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self.attrs['stop_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(
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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_output_dist_attrs[0].dims_mapping, [-1])
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# shape: [8, 16, 8, 24] --> [8 * 16 * 8 * 24] (input --> output)
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# dims_mapping: [0] --> [0, -1, -1, -1], [0] (output --> input, output)
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self.output_dist_tensor_spec.shape = [8 * 16 * 8 * 24]
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self.output_dist_tensor_spec.set_dims_mapping([0])
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self.attrs['start_axis'] = 0
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self.attrs['stop_axis'] = -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['start_axis'],
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self.attrs['stop_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(
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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(inferred_output_dist_attrs[0].dims_mapping, [0])
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# shape: [8, 16, 8, 24] --> [8 * 16 * 8 * 24] (input --> output)
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# dims_mapping: [1] --> [1, -1, -1, -1], [1] (output --> input, output)
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self.output_dist_tensor_spec.shape = [8 * 16 * 8 * 24]
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self.output_dist_tensor_spec.set_dims_mapping([1])
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self.attrs['start_axis'] = 0
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self.attrs['stop_axis'] = -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['start_axis'],
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self.attrs['stop_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(
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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_output_dist_attrs[0].dims_mapping, [1])
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# shape: [8, 16, 8, 24] --> [8, 16 * 8 * 24] (input --> output)
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# dims_mapping: [-1, -1] --> [-1, -1, -1, -1], [-1, -1] (output --> input, output)
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self.output_dist_tensor_spec.shape = [8, 16 * 8 * 24]
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self.output_dist_tensor_spec.set_dims_mapping([-1, -1])
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self.attrs['start_axis'] = 1
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self.attrs['stop_axis'] = -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['start_axis'],
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self.attrs['stop_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(
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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_output_dist_attrs[0].dims_mapping, [-1, -1])
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# shape: [8, 16, 8, 24] --> [8, 16 * 8 * 24] (input --> output)
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# dims_mapping: [0, -1] --> [0, -1, -1, -1], [0, -1] (output --> input, output)
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self.output_dist_tensor_spec.shape = [8, 16 * 8 * 24]
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self.output_dist_tensor_spec.set_dims_mapping([0, -1])
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self.attrs['start_axis'] = 1
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self.attrs['stop_axis'] = -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['start_axis'],
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self.attrs['stop_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(
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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(inferred_output_dist_attrs[0].dims_mapping, [0, -1])
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# shape: [8, 16, 8, 24] --> [8, 16 * 8 * 24] (input --> output)
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# dims_mapping: [0, 1] --> [0, 1, -1, -1], [0, 1] (output --> input, output)
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self.output_dist_tensor_spec.shape = [8, 16 * 8 * 24]
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self.output_dist_tensor_spec.set_dims_mapping([0, 1])
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self.attrs['start_axis'] = 1
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self.attrs['stop_axis'] = -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['start_axis'],
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self.attrs['stop_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(
|
|
inferred_input_dist_attrs[0].dims_mapping, [0, 1, -1, -1]
|
|
)
|
|
self.assertEqual(inferred_output_dist_attrs[0].dims_mapping, [0, 1])
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|