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')