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tf.compat.v1.zeros_like

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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.