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This commit is contained in:
151
tests/utils/test_backbone_utils.py
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151
tests/utils/test_backbone_utils.py
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@@ -0,0 +1,151 @@
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# Copyright 2023 The HuggingFace Team. 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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import pytest
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from transformers import PreTrainedConfig
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from transformers.backbone_utils import (
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BackboneConfigMixin,
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BackboneMixin,
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)
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from transformers.testing_utils import require_torch
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from transformers.utils.import_utils import is_torch_available
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if is_torch_available():
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from transformers import PreTrainedModel
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class AnyBackboneConfig(BackboneConfigMixin, PreTrainedConfig):
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def __init__(
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self,
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stage_names: list | None = None,
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out_indices: list | None = None,
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out_features: list | None = None,
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**kwargs,
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):
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self.stage_names = stage_names
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self.set_output_features_output_indices(out_features=out_features, out_indices=out_indices)
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super().__init__(**kwargs)
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@require_torch
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class AnyBackbone(BackboneMixin, PreTrainedModel): ...
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class BackboneUtilsTester(unittest.TestCase):
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def test_get_aligned_output_features_output_indices(self):
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stage_names = ["a", "b", "c"]
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# Defaults to last layer if both, `out_indices` and `out_features`, are None
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config = AnyBackboneConfig(stage_names)
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self.assertEqual(config.out_features, ["c"])
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self.assertEqual(config.out_indices, [2])
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# Out indices set to match out features
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config = AnyBackboneConfig(stage_names=stage_names, out_features=["a", "c"])
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self.assertEqual(config.out_features, ["a", "c"])
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self.assertEqual(config.out_indices, [0, 2])
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# Out features set to match out indices
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config = AnyBackboneConfig(stage_names=stage_names, out_indices=[0, 2])
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self.assertEqual(config.out_features, ["a", "c"])
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self.assertEqual(config.out_indices, [0, 2])
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# Out features selected from negative indices
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config = AnyBackboneConfig(stage_names=stage_names, out_indices=[-3, -1])
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self.assertEqual(config.out_features, ["a", "c"])
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self.assertEqual(config.out_indices, [-3, -1])
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def test_config_verify_out_features_out_indices(self):
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# Stage names must be set
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with pytest.raises(ValueError, match="Stage_names must be set for transformers backbones"):
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AnyBackboneConfig(stage_names=None, out_features=["a", "b"], out_indices=(0, 1))
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# Out features must be a list
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with pytest.raises(ValueError, match="out_features must be a list got <class 'tuple'>"):
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AnyBackboneConfig(stage_names=["a", "b"], out_features=("a", "b"), out_indices=[0, 1])
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# Out features must be a subset of stage names
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with pytest.raises(
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ValueError, match=r"out_features must be a subset of stage_names: \['a'\] got \['a', 'b'\]"
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):
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AnyBackboneConfig(stage_names=["a"], out_features=["a", "b"], out_indices=[0, 1])
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# Out features must contain no duplicates
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with pytest.raises(ValueError, match=r"out_features must not contain any duplicates, got \['a', 'a'\]"):
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AnyBackboneConfig(stage_names=["a"], out_features=["a", "a"], out_indices=None)
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# Out indices must be a list
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with pytest.raises(ValueError, match="out_indices must be a list, got <class 'int'>"):
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AnyBackboneConfig(stage_names=["a", "b"], out_features=None, out_indices=0)
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# Out indices must be a subset of stage names
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with pytest.raises(
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ValueError, match=r"out_indices must be valid indices for stage_names \['a'\], got \[0, 1\]"
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):
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AnyBackboneConfig(stage_names=["a"], out_features=None, out_indices=[0, 1])
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# Out indices must contain no duplicates
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with pytest.raises(ValueError, match=r"out_indices must not contain any duplicates, got \[0, 0\]"):
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AnyBackboneConfig(stage_names=["a"], out_features=None, out_indices=[0, 0])
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# Out features and out indices must be the same length
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with pytest.raises(
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ValueError, match="out_features and out_indices should have the same length if both are set"
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):
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AnyBackboneConfig(stage_names=["a", "b", "c"], out_features=["a", "b"], out_indices=[0])
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# Out features should match out indices
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with pytest.raises(
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ValueError, match="out_features and out_indices should correspond to the same stages if both are set"
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):
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AnyBackboneConfig(stage_names=["a", "b", "c"], out_features=["a", "b"], out_indices=[0, 2])
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# Out features and out indices should be in order
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with pytest.raises(
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ValueError,
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match=r"out_features must be in the same order as stage_names, expected \['a', 'b'\] got \['b', 'a'\]",
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):
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AnyBackboneConfig(stage_names=["a", "b"], out_features=["b", "a"], out_indices=[0, 1])
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with pytest.raises(
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ValueError, match=r"out_indices must be in the same order as stage_names, expected \[-2, 1\] got \[1, -2\]"
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):
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AnyBackboneConfig(stage_names=["a", "b"], out_features=["a", "b"], out_indices=[1, -2])
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# Check passes with valid inputs
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AnyBackboneConfig(stage_names=["a", "b", "c", "d"], out_features=["a", "b", "d"], out_indices=[0, 1, -1])
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@require_torch
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def test_backbone_mixin(self):
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config = AnyBackboneConfig(stage_names=["a", "b", "c"], out_features=["a", "c"], out_indices=[0, 2])
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backbone = AnyBackbone(config)
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backbone.config = config
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# Check that the output features and indices are set correctly
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self.assertEqual(backbone.out_features, ["a", "c"])
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self.assertEqual(backbone.out_indices, [0, 2])
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# Check out features and indices are updated correctly
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backbone.out_features = ["a", "b"]
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self.assertEqual(backbone.out_features, ["a", "b"])
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self.assertEqual(backbone.out_indices, [0, 1])
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backbone.out_indices = [-3, -1]
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self.assertEqual(backbone.out_features, ["a", "c"])
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self.assertEqual(backbone.out_indices, [-3, -1])
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