TensorFlow 2 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. |
Returns | |
---|---|
The same Numpy array, 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')