def random_normal(shape, mean=0.0, std=1.0, dtype=None, seed=None):
 if (dtype is None):
  dtype = floatx()
 if (seed is None):
  seed = np.random.randint(10000000.0)
 return tf.random_normal(shape, mean=mean, stddev=std, dtype=dtype, seed=seed)

def random_normal ( shape , mean = 0.0 , std = 1.0 , dtype = None , seed = None ) : if ( dtype is None ) : dtype = floatx ( ) if ( seed is None ) : seed = np . random . randint ( 10000000.0 ) return tf . random_normal ( shape , mean = mean , stddev = std , dtype = dtype , seed = seed )
returns a tensor with normal distribution # arguments shape: a tuple of integers .