Creates a tensor with all elements set to zero.
tf.zeros_like(
input, dtype=None, name=None
)
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.
For example:
tensor = tf.constant([[1, 2, 3], [4, 5, 6]])
tf.zeros_like(tensor) # [[0, 0, 0], [0, 0, 0]] with dtype=int32
If dtype of input `tensor` is `float32`, then the output is also of `float32`
tensor = tf.constant([[1.0, 2.0, 3.0], [4, 5, 6]])
tf.zeros_like(tensor) # [[0., 0., 0.], [0., 0., 0.]] with dtype=floa32
If you want to specify desired dtype of output `tensor`, then specify it in
the op tensor = tf.constant([[1.0, 2.0, 3.0], [4, 5, 6]])
tf.zeros_like(tensor,dtype=tf.int32) # [[0, 0, 0], [0, 0, 0]] with
dtype=int32
Args |
input
|
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 .
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor with all elements set to zero.
|