tf.keras.backend.cast_to_floatx

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Cast a Numpy array to the default Keras float type.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.backend.cast_to_floatx, `tf.compat.v2.keras.backend.cast_to_floatx`

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')