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Review/update spec for NotEqual operation (#6797)

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* Hiding the problem, Validate() changes 'function'

* Review/update spec for NotEqual operation

* Remove unnecessary edits not related to the ticket

* Removing the extra word binary for the short description

* Re-writing detailed description

* Correcting punctuation docs/ops/comparison/NotEqual_1.md

Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>

* Specifying auto_broadcast in the short description is similar to Equal spec

* The range of values for auto_brodcast is similar to Equal spec and includes the missing pdpd

Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
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Nikita Semaev 2021-08-19 21:54:18 +03:00 committed by GitHub
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docs/ops/comparison/NotEqual_1.md
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@ -4,7 +4,18 @@
**Category**: Comparison binary operation **Category**: Comparison binary operation
**Short description**: *NotEqual* performs element-wise comparison operation with two given tensors applying multi-directional broadcast rules. **Short description**: *NotEqual* performs element-wise comparison operation with two given tensors applying
multi-directional broadcast rules specified in the `auto_broadcast` attribute.
**Detailed description**
Before performing comparison operation, input tensors *a* and *b* are broadcasted if their shapes are different.
Broadcasting is performed according to `auto_broadcast` value.
After broadcasting, *NotEqual* does the following with the input tensors *a* and *b*:
\f[
o_{i} = a_{i} != b_{i}
\f]
**Attributes**: **Attributes**:
@ -13,7 +24,8 @@
* **Description**: specifies rules used for auto-broadcasting of input tensors. * **Description**: specifies rules used for auto-broadcasting of input tensors.
* **Range of values**: * **Range of values**:
* *none* - no auto-broadcasting is allowed, all input shapes should match * *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>. * *numpy* - numpy broadcasting rules, description is available in [Broadcast Rules For Elementwise Operations](../broadcast_rules.md),
* *pdpd* - PaddlePaddle-style implicit broadcasting, description is available in [Broadcast Rules For Elementwise Operations](../broadcast_rules.md).
* **Type**: string * **Type**: string
* **Default value**: "numpy" * **Default value**: "numpy"
* **Required**: *no* * **Required**: *no*
@ -31,15 +43,6 @@
* *T*: arbitrary supported type. * *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 *NotEqual* does the following with the input tensors *a* and *b*:
\f[
o_{i} = a_{i} \neq b_{i}
\f]
**Examples** **Examples**
*Example 1* *Example 1*