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:

>>> tf.keras.backend.floatx()
'float32'
>>> arr = np.array([1.0, 2.0], dtype='float64')
>>> arr.dtype
dtype('float64')
>>> new_arr = cast_to_floatx(arr)
>>> new_arr
array([1.,  2.], dtype=float32)
>>> new_arr.dtype
dtype('float32')