| D | gradient_checkpoint_test.py | 29 def _get_big_cnn_model(img_dim, n_channels, num_partitions, argument
33 model.add(layers.Input(shape=(img_dim, img_dim, n_channels)))
48 def _get_split_cnn_model(img_dim, n_channels, num_partitions, argument
52 models[0].add(layers.Input(shape=(img_dim, img_dim, n_channels)))
88 def _get_dummy_data(img_dim, n_channels, batch_size): argument
89 inputs = tf.ones([batch_size, img_dim, img_dim, n_channels])
96 img_dim, n_channels, batch_size = 256, 1, 4
97 x, y = _get_dummy_data(img_dim, n_channels, batch_size)
99 img_dim, n_channels, num_partitions=3, blocks_per_partition=2)
116 img_dim, n_channels, batch_size = 256, 1, 4
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