tf.keras.backend.cast_to_floatx

TensorFlow 1 version View source on GitHub

Cast a Numpy array to the default Keras float type.

tf.keras.backend.cast_to_floatx(
    x
)

Arguments:

  • x: Numpy array or TensorFlow tensor.

Returns:

The same array (Numpy array if x was a Numpy array, or TensorFlow tensor if x was a tensor), cast to its new type.

Example:

    from tensorflow.keras import backend as K 
    K.floatx() 
        'float32' 
    arr = numpy.array([1.0, 2.0], dtype='float64') 
    arr.dtype 
        dtype('float64') 
    new_arr = K.cast_to_floatx(arr) 
    new_arr 
        array([ 1.,  2.], dtype=float32) 
    new_arr.dtype 
        dtype('float32')