106 lines
2.5 KiB
Markdown
106 lines
2.5 KiB
Markdown
# Less {#openvino_docs_ops_comparison_Less_1}
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@sphinxdirective
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**Versioned name**: *Less-1*
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**Category**: *Comparison binary*
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**Short description**: *Less* performs element-wise comparison operation with two given tensors applying multi-directional broadcast rules.
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**Detailed description**
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Before performing arithmetic operation, input tensors *a* and *b* are broadcasted if their shapes are different and ``auto_broadcast`` attributes is not ``none``. Broadcasting is performed according to ``auto_broadcast`` value.
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After broadcasting *Less* does the following with the input tensors *a* and *b*:
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.. math::
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o_{i} = a_{i} < b_{i}
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**Attributes**:
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* *auto_broadcast*
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* **Description**: specifies rules used for auto-broadcasting of input tensors.
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* **Range of values**:
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* *none* - no auto-broadcasting is allowed, all input shapes should match
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* *numpy* - numpy broadcasting rules, description is available in :doc:`Broadcast Rules For Elementwise Operations <openvino_docs_ops_broadcast_rules>`
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* *pdpd* - PaddlePaddle-style implicit broadcasting, description is available in :doc:`Broadcast Rules For Elementwise Operations <openvino_docs_ops_broadcast_rules>`
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* **Type**: ``string``
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* **Default value**: "numpy"
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* **Required**: *no*
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**Inputs**
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* **1**: A tensor of type *T*. **Required.**
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* **2**: A tensor of type *T*. **Required.**
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**Outputs**
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* **1**: The result of element-wise comparison operation. A tensor of type boolean.
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**Types**
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* *T*: arbitrary supported 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="Less">
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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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<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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</input>
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<output>
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<port id="2">
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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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*Example 2: broadcast*
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.. code-block:: cpp
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<layer ... type="Less">
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<input>
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<port id="0">
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<dim>8</dim>
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<dim>1</dim>
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<dim>6</dim>
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<dim>1</dim>
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</port>
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<port id="1">
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<dim>7</dim>
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<dim>1</dim>
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<dim>5</dim>
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</port>
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</input>
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<output>
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<port id="2">
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<dim>8</dim>
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<dim>7</dim>
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<dim>6</dim>
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<dim>5</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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