tf.cast

TensorFlow 1 version

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Casts a tensor to a new type.

tf.cast(
    x, dtype, name=None
)

The operation casts x (in case of Tensor) or x.values (in case of SparseTensor or IndexedSlices) to dtype.

For example:

x = tf.constant([1.8, 2.2], dtype=tf.float32)
tf.dtypes.cast(x, tf.int32)
<tf.Tensor: shape=(2,), dtype=int32, numpy=array([1, 2], dtype=int32)>

The operation supports data types (for x and dtype) of uint8, uint16, uint32, uint64, int8, int16, int32, int64, float16, float32, float64, complex64, complex128, bfloat16. In case of casting from complex types (complex64, complex128) to real types, only the real part of x is returned. In case of casting from real types to complex types (complex64, complex128), the imaginary part of the returned value is set to 0. The handling of complex types here matches the behavior of numpy.