Tatiana Savina
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93 lines
2.0 KiB
Markdown
93 lines
2.0 KiB
Markdown
# Sqrt {#openvino_docs_ops_arithmetic_Sqrt_1}
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@sphinxdirective
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**Versioned name**: *Sqrt-1*
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**Category**: *Arithmetic unary*
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**Short description**: Square root element-wise operation.
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**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:
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.. math::
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o_{i} = \sqrt{a_{i}}
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* If the input value is negative, then the result is undefined.
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* For integer element type the result is rounded (half up) to the nearest integer value.
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**Attributes**: *Sqrt* operation has no attributes.
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**Inputs**
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* **1**: A tensor of type *T* and arbitrary shape. **Required.**
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**Outputs**
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* **1**: The result of element-wise *Sqrt* operation. A tensor of type *T* and the same shape as input tensor.
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**Types**
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* *T*: any numeric type.
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**Examples**
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*Example 1*
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.. code-block:: cpp
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<layer ... type="Sqrt">
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<input>
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<port id="0">
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<dim>4</dim> < !-- float input values: [4.0, 7.0, 9.0, 10.0] -->
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</port>
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</input>
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<output>
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<port id="1">
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<dim>4</dim> < !-- float output values: [2.0, 2.6457512, 3.0, 3.1622777] -->
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</port>
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</output>
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</layer>
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*Example 2*
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.. code-block:: cpp
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<layer ... type="Sqrt">
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<input>
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<port id="0">
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<dim>4</dim> < !-- int input values: [4, 7, 9, 10] -->
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</port>
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</input>
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<output>
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<port id="1">
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<dim>4</dim> < !-- int output values: [2, 3, 3, 3] -->
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</port>
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</output>
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</layer>
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*Example 3*
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.. code-block:: cpp
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<layer ... type="Sqrt">
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<input>
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<port id="0">
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<dim>256</dim>
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<dim>56</dim>
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</port>
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</input>
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<output>
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<port id="1">
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<dim>256</dim>
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<dim>56</dim>
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</port>
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</output>
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</layer>
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@endsphinxdirective
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