Sqrt#
Versioned name: Sqrt-1
Category: Arithmetic unary
Short description: Square root element-wise operation.
Detailed description: Sqrt performs element-wise square root operation on a given input tensor a
, as in the following mathematical formula, where o
is the output tensor:
\[o_{i} = \sqrt{a_{i}}\]
If the input value is negative, then the result is undefined.
For integer element type the result is rounded (half up) to the nearest integer value.
Attributes: Sqrt operation has no attributes.
Inputs
1: A tensor of type T and arbitrary shape. Required.
Outputs
1: The result of element-wise Sqrt operation. A tensor of type T and the same shape as input tensor.
Types
T: any numeric type.
Examples
Example 1
<layer ... type="Sqrt">
<input>
<port id="0">
<dim>4</dim> <!-- float input values: [4.0, 7.0, 9.0, 10.0] -->
</port>
</input>
<output>
<port id="1">
<dim>4</dim> <!-- float output values: [2.0, 2.6457512, 3.0, 3.1622777] -->
</port>
</output>
</layer>
Example 2
<layer ... type="Sqrt">
<input>
<port id="0">
<dim>4</dim> <!-- int input values: [4, 7, 9, 10] -->
</port>
</input>
<output>
<port id="1">
<dim>4</dim> <!-- int output values: [2, 3, 3, 3] -->
</port>
</output>
</layer>
Example 3
<layer ... type="Sqrt">
<input>
<port id="0">
<dim>256</dim>
<dim>56</dim>
</port>
</input>
<output>
<port id="1">
<dim>256</dim>
<dim>56</dim>
</port>
</output>
</layer>