Bitcasts a tensor from one type to another without copying data.
tf.bitcast(
input: Annotated[Any, TV_Bitcast_T], type: TV_Bitcast_type, name=None
) -> Annotated[Any, TV_Bitcast_type]
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 [...].
tf.bitcast() and tf.cast() work differently when real dtype is casted as a complex dtype (e.g. tf.complex64 or tf.complex128) as tf.cast() make imaginary part 0 while tf.bitcast() gives module error. For example,
Example 1:
a = [1., 2., 3.]
equality_bitcast = tf.bitcast(a, tf.complex128)
Traceback (most recent call last):
InvalidArgumentError: Cannot bitcast from 1 to 18 [Op:Bitcast]
equality_cast = tf.cast(a, tf.complex128)
print(equality_cast)
tf.Tensor([1.+0.j 2.+0.j 3.+0.j], shape=(3,), dtype=complex128)
Example 2:
tf.bitcast(tf.constant(0xffffffff, dtype=tf.uint32), tf.uint8)
<tf.Tensor: shape=(4,), dtype=uint8, numpy=array([255, 255, 255, 255], dtype=uint8)>
Example 3:
x = [1., 2., 3.]
y = [0., 2., 3.]
equality= tf.equal(x,y)
equality_cast = tf.cast(equality,tf.float32)
equality_bitcast = tf.bitcast(equality_cast,tf.uint8)
print(equality)
tf.Tensor([False True True], shape=(3,), dtype=bool)
print(equality_cast)
tf.Tensor([0. 1. 1.], shape=(3,), dtype=float32)
print(equality_bitcast)
tf.Tensor(
[[ 0 0 0 0]
[ 0 0 128 63]
[ 0 0 128 63]], shape=(3, 4), dtype=uint8)
Args | |
---|---|
input
|
A Tensor . Must be one of the following types: bfloat16 , half , float32 , float64 , int64 , int32 , uint8 , uint16 , uint32 , uint64 , int8 , int16 , complex64 , complex128 , qint8 , quint8 , qint16 , quint16 , qint32 .
|
type
|
A tf.DType from: tf.bfloat16, tf.half, tf.float32, tf.float64, tf.int64, tf.int32, tf.uint8, tf.uint16, tf.uint32, tf.uint64, tf.int8, tf.int16, tf.complex64, tf.complex128, tf.qint8, tf.quint8, tf.qint16, tf.quint16, tf.qint32 .
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A Tensor of type type .
|