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official/legacy/image_classification/test_utils.py
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A. Unique TensorFlower
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09 фев 2026, 19:00
09 фев 2026, 19:00
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# Copyright 2026 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Test utilities for image classification tasks.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import tensorflow as tf, tf_keras def trivial_model(num_classes): """Trivial model for ImageNet dataset.""" input_shape = (224, 224, 3) img_input = tf_keras.layers.Input(shape=input_shape) x = tf_keras.layers.Lambda( lambda x: tf_keras.backend.reshape(x, [-1, 224 * 224 * 3]), name='reshape')(img_input) x = tf_keras.layers.Dense(1, name='fc1')(x) x = tf_keras.layers.Dense(num_classes, name='fc1000')(x) x = tf_keras.layers.Activation('softmax', dtype='float32')(x) return tf_keras.models.Model(img_input, x, name='trivial')