tf.bitcast
tf.bitcast
tf.bitcast
bitcast( input, type, name=None )
Defined in tensorflow/python/ops/gen_array_ops.py
.
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
: ATensor
. Must be one of the following types:float32
,float64
,int64
,int32
,uint8
,uint16
,int16
,int8
,complex64
,complex128
,qint8
,quint8
,qint32
,half
. -
type
: Atf.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
.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/bitcast