model.summary() in Tensorflow like Keras

Use 

Example:

import numpy as npfrom tensorflow.python.layers import baseimport tensorflow as tfimport tensorflow.contrib.slim as slimx = np.zeros((1,4,4,3))x_tf = tf.convert_to_tensor(x, np.float32)z_tf = tf.layers.conv2d(x_tf, filters=32, kernel_size=(3,3))def model_summary():    model_vars = tf.trainable_variables()    slim.model_analyzer.analyze_vars(model_vars, print_info=True)model_summary()

Output:

---------Variables: name (type shape) [size]---------conv2d/kernel:0 (float32_ref 3x3x3x32) [864, bytes: 3456]conv2d/bias:0 (float32_ref 32) [32, bytes: 128]Total size of variables: 896Total bytes of variables: 3584

 

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