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"""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')
