tf.bitcast(input, type, name=None)

tf.bitcast(input, type, name=None)

See the guide: Tensor Transformations > Casting

Bitcasts a tensor from one type to another without copying data.

Given a tensor input, this operation returns a tensor that has the same buffer data as input with datatype type.

If the input datatype T is larger than the output datatype type then the shape changes from [...] to [..., sizeof(T)/sizeof(type)].

If T is smaller than type, the operator requires that the rightmost dimension be equal to sizeof(type)/sizeof(T). The shape then goes from [..., sizeof(type)/sizeof(T)] to [...].

NOTE: Bitcast is implemented as a low-level cast, so machines with different endian orderings will give different results.

Args:

• input: A Tensor. Must be one of the following types: float32, float64, int64, int32, uint8, uint16, int16, int8, complex64, complex128, qint8, quint8, qint32, half.
• type: A tf.DType from: tf.float32, tf.float64, tf.int64, tf.int32, tf.uint8, tf.uint16, tf.int16, tf.int8, tf.complex64, tf.complex128, tf.qint8, tf.quint8, tf.qint32, tf.half.
• name: A name for the operation (optional).

Returns:

A Tensor of type type.

Defined in tensorflow/python/ops/gen_array_ops.py.