wehub-resource-sync
56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
#
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# SPDX-FileCopyrightText: Copyright (c) 1993-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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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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#
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from tensorflow_quantization.quantize_wrapper_base import BaseQuantizeWrapper
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import copy
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import pytest
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EXPECTED_WRAPPERS = [
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"WeightedBaseQuantizeWrapper",
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"Conv2DQuantizeWrapper",
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"DenseQuantizeWrapper",
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"DepthwiseConv2DQuantizeWrapper",
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"NonWeightedBaseQuantizeWrapper",
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"AveragePooling2DQuantizeWrapper",
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"GlobalAveragePooling2DQuantizeWrapper",
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"MaxPooling2DQuantizeWrapper",
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"BatchNormalizationQuantizeWrapper",
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"NonWeightedBaseQuantizeWrapperForMultipleInputs",
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"MultiplyQuantizeWrapper",
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"ConcatenateQuantizeWrapper",
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"AddQuantizeWrapper",
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]
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def test_old_wrappers_registration():
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all_wrappers = BaseQuantizeWrapper.CHILD_WRAPPERS
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assert EXPECTED_WRAPPERS == list(all_wrappers.keys())
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def test_new_wrapper_registration():
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class TestWrapper(BaseQuantizeWrapper):
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def __init__(self, layer, **kwargs):
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super().__init__(layer, **kwargs)
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all_wrappers = BaseQuantizeWrapper.CHILD_WRAPPERS
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expected = copy.deepcopy(EXPECTED_WRAPPERS)
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expected.append("TestWrapper")
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assert expected == list(all_wrappers.keys())
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