tf.zeros_like(
tensor,
dtype=None,
name=None,
optimize=True
)
Defined in tensorflow/python/ops/array_ops.py
.
Creates a tensor with all elements set to zero.
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]]
Args:
tensor
: ATensor
.dtype
: A type for the returnedTensor
. Must befloat16
,float32
,float64
,int8
,uint8
,int16
,uint16
,int32
,int64
,complex64
,complex128
,bool
orstring
.name
: A name for the operation (optional).optimize
: if true, attempt to statically determine the shape of 'tensor' and encode it as a constant.
Returns:
A Tensor
with all elements set to zero.