Unsqueeze

Versioned name: Unsqueeze-1

Category: Shape manipulation

Short description: Unsqueeze adds dimensions of size 1 to the first input tensor. The second input value specifies a list of dimensions that will be inserted. Indices specify dimensions in the output tensor.

Attributes: Unsqueeze operation doesn’t have attributes.

Inputs:

• 1: Tensor of type T and arbitrary shape. Required.

• 2: Scalar or 1D tensor of type T_INT with indices of dimensions to unsqueeze. Values could be negative (have to be from range [-R, R-1], where R is the rank of the output). Required.

Outputs:

• 1: Tensor with unsqueezed values of type T.

Types

• T: any numeric type.

• T_INT: any supported integer type.

Example

Example 1: unsqueeze 2D tensor to a 4D tensor

 <layer ... type="Unsqueeze">
     <input>
         <port id="0">
             <dim>2</dim>
             <dim>3</dim>
         </port>
     </input>
     <input>
         <port id="1">
             <dim>2</dim>  <!-- value is [0, 3] -->
         </port>
     </input>
     <output>
         <port id="2">
             <dim>1</dim>
             <dim>2</dim>
             <dim>3</dim>
             <dim>1</dim>
         </port>
     </output>
 </layer>

Example 2: unsqueeze 0D tensor (constant) to 1D tensor

 <layer ... type="Unsqueeze">
     <input>
         <port id="0">
         </port>
     </input>
     <input>
         <port id="1">
             <dim>1</dim>  <!-- value is [0] -->
         </port>
     </input>
     <output>
         <port id="2">
             <dim>1</dim>
         </port>
     </output>
 </layer>