Creates a tensor with all elements set to zero.
tf.compat.v1.zeros_like(
tensor, dtype=None, name=None, optimize=True
)
See also tf.zeros
.
Given a single tensor (tensor
), this operation returns a tensor of the
same type and shape as tensor
with all elements set to zero. Optionally,
you can use dtype
to specify a new type for the returned tensor.
Examples |
>>> tensor = tf.constant([[1, 2, 3], [4, 5, 6]])
>>> tf.zeros_like(tensor)
<tf.Tensor: shape=(2, 3), dtype=int32, numpy=
array([[0, 0, 0],
[0, 0, 0]], dtype=int32)>
tf.zeros_like(tensor, dtype=tf.float32)
<tf.Tensor: shape=(2, 3), dtype=float32, numpy=
array([[0., 0., 0.],
[0., 0., 0.]], dtype=float32)>
|
Args |
tensor
|
A Tensor .
|
dtype
|
A type for the returned Tensor . Must be float16 , float32 ,
float64 , int8 , uint8 , int16 , uint16 , int32 , int64 ,
complex64 , complex128 , bool or string . (optional)
|
name
|
A name for the operation (optional).
|
optimize
|
if True , attempt to statically determine the shape of tensor
and encode it as a constant. (optional, defaults to True )
|
Returns |
A Tensor with all elements set to zero.
|