tf.keras.backend.cast

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Casts a tensor to a different dtype and returns it.

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Compat aliases for migration

See Migration guide for more details.

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

tf.keras.backend.cast(
    x, dtype
)

You can cast a Keras variable but it still returns a Keras tensor.

Arguments
x	Keras tensor (or variable).
dtype	String, either ('float16', 'float32', or 'float64').

Returns
Keras tensor with dtype dtype.

Examples:

Cast a float32 variable to a float64 tensor

import tensorflow as tf
from tensorflow.keras import backend as K
input = K.ones(shape=(1,3))
print(input)
cast_input = K.cast(input, dtype='float64')
print(cast_input)

<tf.Variable 'Variable:0' shape=(1, 3) dtype=float32,
     numpy=array([[1., 1., 1.]], dtype=float32)>
tf.Tensor([[1. 1. 1.]], shape=(1, 3), dtype=float64)