wehub-resource-sync
46 lines
1.5 KiB
Python
46 lines
1.5 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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import tensorflow as tf
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from examples.data.data_loader import _DEFAULT_IMAGE_SIZE, _NUM_CHANNELS
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from examples.utils import get_tfkeras_model
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def get_resnet_model(resnet_depth: str = "50", resnet_version: str = "v1") -> tf.keras.Model:
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"""
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Creates a native tf.keras ResNet model.
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Args:
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resnet_depth (str): ResNet depth. Options=[50 (default), 101, 152].
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resnet_version (str): ResNet version. Options=[v1 (default), v2].
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Returns:
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model (tf.keras.Model): model corresponding to 'resnet_depth' and 'resnet_version'.
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"""
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shape = (
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_DEFAULT_IMAGE_SIZE["resnet_{}".format(resnet_version)],
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_DEFAULT_IMAGE_SIZE["resnet_{}".format(resnet_version)],
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_NUM_CHANNELS,
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)
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model_name = "resnet_" + resnet_depth + resnet_version
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model = get_tfkeras_model(model_name=model_name, shape=shape)
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return model
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