Creates a tensor with all elements set to zero.
tfp.experimental.distributions.marginal_fns.ps.zeros_like(
input, dtype=None, name=None, layout=None
)
See also tf.zeros
.
Given a single tensor or array-like object (input
), this operation returns
a tensor of the same type and shape as input
with all elements set to zero.
Optionally, you can use dtype
to specify a new type for the returned tensor.
Note that the layout of the input tensor is not preserved if the op
is used inside tf.function. To obtain a tensor with the same layout as the
input, chain the returned value to a dtensor.relayout_like
.
Examples | |
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|
Args | |
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input
|
A Tensor or array-like object.
|
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). |
layout
|
Optional, tf.experimental.dtensor.Layout . If provided, the result
is a DTensor with the
provided layout.
|
Returns | |
---|---|
A Tensor with all elements set to zero.
|