dot_test.py

import keras.backend as K
import tensorflow as tf
import numpy as np
import theano
import theano.tensor as T

a = np.ndarray.astype(np.random.rand(4), dtype=np.float32)
b = np.ndarray.astype(np.random.rand(4, 14), dtype=np.float32)


def tftest():
    tfa = tf.placeholder(tf.float32, [4])
    tfb = tf.placeholder(tf.float32, [4, 14])

    try:
        result = K.dot(tfa, tfb)

        with tf.Session() as sess:
            res = sess.run(result, feed_dict={tfa: a, tfb: b})
            print(res.shape)
    except:
        print("Tensorflow Breaks")

def theanotest():

    tha = T.fvector()
    thb = T.fmatrix()

    # Abridged version of the theano backend version
    # Because I don't know how to import both backends
    def keras_dot_theano(x, y):
        return T.dot(x, y)

    result = keras_dot_theano(tha, thb)

    fun = theano.function([tha, thb], result)

    try:
        res = fun(a, b)
        print(res.shape)  # (14L,)
    except:
        print("Theano Breaks")

if __name__ == "__main__":
    tftest()
    theanotest()