tf.keras.backend.cast_to_floatx

Cast a Numpy array to the default Keras float type.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.backend.cast_to_floatx

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')