meridian.backend.zeros_like

    Creates a tensor with all elements set to zero.

      meridian 
 . 
 backend 
 . 
 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 .

    ```

    tensor = tf.constant([[1, 2, 3], [4, 5, 6]]) tf.zeros_like(tensor) ``` 

     >>>  
 tf 
 . 
 zeros_like 
 ( 
 tensor 
 , 
  
 dtype 
 = 
 tf 
 . 
 float32 
 ) 
< tf 
 . 
 Tensor 
 : 
  
 shape 
 =( 
 2 
 , 
  
 3 
 ), 
  
 dtype 
 = 
 float32 
 , 
  
 numpy 
 = 
 array 
 ([[ 
 0 
 ., 
  
 0 
 ., 
  
 0 
 .], 
  
 [ 
 0 
 ., 
  
 0 
 ., 
  
 0 
 .]], 
  
 dtype 
 = 
 float32 
 ) 
> 

     >>>  
 tf 
 . 
 zeros_like 
 ([[ 
 1 
 , 
  
 2 
 , 
  
 3 
 ], 
  
 [ 
 4 
 , 
  
 5 
 , 
  
 6 
 ]]) 
< tf 
 . 
 Tensor 
 : 
  
 shape 
 =( 
 2 
 , 
  
 3 
 ), 
  
 dtype 
 = 
 int32 
 , 
  
 numpy 
 = 
 array 
 ([[ 
 0 
 , 
  
 0 
 , 
  
 0 
 ], 
  
 [ 
 0 
 , 
  
 0 
 , 
  
 0 
 ]], 
  
 dtype 
 = 
 int32 
 ) 
>

    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.

    A Tensor with all elements set to zero.
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