ef45b5da8d
* Doc Migration from Gitlab (#1289) * doc migration * fix * Update FakeQuantize_1.md * Update performance_benchmarks.md * Updates graphs for FPGA * Update performance_benchmarks.md * Change DL Workbench structure (#1) * Changed DL Workbench structure * Fixed tags * fixes * Update ie_docs.xml * Update performance_benchmarks_faq.md * Fixes in DL Workbench layout * Fixes for CVS-31290 * [DL Workbench] Minor correction * Fix for CVS-30955 * Added nGraph deprecation notice as requested by Zoe * fix broken links in api doxy layouts * CVS-31131 fixes * Additional fixes * Fixed POT TOC * Update PAC_Configure.md PAC DCP 1.2.1 install guide. * Update inference_engine_intro.md * fix broken link * Update opset.md * fix * added opset4 to layout * added new opsets to layout, set labels for them * Update VisionAcceleratorFPGA_Configure.md Updated from 2020.3 to 2020.4 Co-authored-by: domi2000 <domi2000@users.noreply.github.com>
93 lines
2.3 KiB
Markdown
93 lines
2.3 KiB
Markdown
## LessEqual <a name="LessEqual"></a> {#openvino_docs_ops_comparison_LessEqual_1}
|
|
|
|
**Versioned name**: *LessEqual-1*
|
|
|
|
**Category**: Comparison binary operation
|
|
|
|
**Short description**: *LessEqual* performs element-wise comparison operation with two given tensors applying multi-directional broadcast rules.
|
|
|
|
**Attributes**:
|
|
|
|
* *auto_broadcast*
|
|
|
|
* **Description**: specifies rules used for auto-broadcasting of input tensors.
|
|
* **Range of values**:
|
|
* *none* - no auto-broadcasting is allowed, all input shapes should match
|
|
* *numpy* - numpy broadcasting rules, aligned with ONNX Broadcasting. Description is available in <a href="https://github.com/onnx/onnx/blob/master/docs/Broadcasting.md">ONNX docs</a>.
|
|
* **Type**: string
|
|
* **Default value**: "numpy"
|
|
* **Required**: *no*
|
|
|
|
**Inputs**
|
|
|
|
* **1**: A tensor of type T. **Required.**
|
|
* **2**: A tensor of type T. **Required.**
|
|
|
|
**Outputs**
|
|
|
|
* **1**: The result of element-wise comparison operation. A tensor of type boolean.
|
|
|
|
**Types**
|
|
|
|
* *T*: arbitrary supported type.
|
|
|
|
**Detailed description**
|
|
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.
|
|
|
|
After broadcasting *LessEqual* does the following with the input tensors *a* and *b*:
|
|
|
|
\f[
|
|
o_{i} = a_{i} <= b_{i}
|
|
\f]
|
|
|
|
**Examples**
|
|
|
|
*Example 1*
|
|
|
|
```xml
|
|
<layer ... type="LessEqual">
|
|
<input>
|
|
<port id="0">
|
|
<dim>256</dim>
|
|
<dim>56</dim>
|
|
</port>
|
|
<port id="1">
|
|
<dim>256</dim>
|
|
<dim>56</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2">
|
|
<dim>256</dim>
|
|
<dim>56</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
```
|
|
|
|
*Example 2: broadcast*
|
|
```xml
|
|
<layer ... type="LessEqual">
|
|
<input>
|
|
<port id="0">
|
|
<dim>8</dim>
|
|
<dim>1</dim>
|
|
<dim>6</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
<port id="1">
|
|
<dim>7</dim>
|
|
<dim>1</dim>
|
|
<dim>5</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2">
|
|
<dim>8</dim>
|
|
<dim>7</dim>
|
|
<dim>6</dim>
|
|
<dim>5</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
``` |