- ngraph.unsqueeze(data: Union[_pyngraph.Node, int, float, numpy.ndarray], axes: Union[_pyngraph.Node, int, float, numpy.ndarray], name: Optional[str] = None) _pyngraph.Node ¶
Perform unsqueeze operation on input tensor.
Insert single-dimensional entries to the shape of a tensor. Takes one required argument axes, a list of dimensions that will be inserted. Dimension indices in axes are as seen in the output tensor.
- For example: Inputs: tensor with shape [3, 4, 5], axes=[0, 4]
Result: tensor with shape [1, 3, 4, 5, 1]
data – The node with data tensor.
axes – List of non-negative integers, indicate the dimensions to be inserted. One of: input node or array.
The new node performing an unsqueeze operation on input tensor.