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+ # Copyright 2022 The TensorFlow 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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+
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# limitations under the License.
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"""Configs package definition."""
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-
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+ from official . projects . qat . vision . configs import common
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from official .projects .qat .vision .configs import image_classification
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from official .projects .qat .vision .configs import retinanet
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from official .projects .qat .vision .configs import semantic_segmentation
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# limitations under the License.
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"""Modeling package definition."""
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-
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+ from official . projects . qat . vision . modeling import heads
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from official .projects .qat .vision .modeling import layers
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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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- # Lint as: python3
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"""Heads package definition."""
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-
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from official .projects .qat .vision .modeling .heads .dense_prediction_heads import RetinaNetHeadQuantized
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# limitations under the License.
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"""Layers package definition."""
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-
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+ from official . projects . qat . vision . modeling . layers import nn_layers
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from official .projects .qat .vision .modeling .layers .nn_blocks import BottleneckBlockQuantized
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from official .projects .qat .vision .modeling .layers .nn_blocks import Conv2DBNBlockQuantized
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from official .projects .qat .vision .modeling .layers .nn_blocks import InvertedBottleneckBlockQuantized
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+ # Copyright 2022 The TensorFlow 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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+
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# limitations under the License.
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"""Tasks package definition."""
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-
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from official .projects .qat .vision .tasks import image_classification
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+ from official .projects .qat .vision .tasks import retinanet
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+ from official .projects .qat .vision .tasks import semantic_segmentation
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