|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| """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')
|
|
|