Merge branch 'develop' into update-develop

gizatechxyz · Sep 29, 2023 · e2287ec · e2287ec
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diff --git a/README.md b/README.md
@@ -85,6 +85,7 @@ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/d
       <td align="center" valign="top" width="14.28%"><a href="https://github.com/richwarner"><img src="https://avatars.githubusercontent.com/u/1719742?v=4?s=100" width="100px;" alt="Rich Warner"/><br /><sub><b>Rich Warner</b></sub></a><br /><a href="https://github.com/gizatechxyz/orion/commits?author=richwarner" title="Code">💻</a></td>
       <td align="center" valign="top" width="14.28%"><a href="https://github.com/dbejarano820"><img src="https://avatars.githubusercontent.com/u/58019353?v=4?s=100" width="100px;" alt="Daniel Bejarano"/><br /><sub><b>Daniel Bejarano</b></sub></a><br /><a href="https://github.com/gizatechxyz/orion/commits?author=dbejarano820" title="Documentation">📖</a></td>
       <td align="center" valign="top" width="14.28%"><a href="https://github.com/vikkydataseo"><img src="https://avatars.githubusercontent.com/u/65757691?v=4?s=100" width="100px;" alt="vikkydataseo"/><br /><sub><b>vikkydataseo</b></sub></a><br /><a href="https://github.com/gizatechxyz/orion/commits?author=vikkydataseo" title="Documentation">📖</a></td>
+      <td align="center" valign="top" width="14.28%"><a href="https://github.com/dincerguner"><img src="https://avatars.githubusercontent.com/u/32523713?v=4" width="100px;" alt="dincerguner"/><br /><sub><b>dincerguner</b></sub></a><br /><a href="https://github.com/gizatechxyz/orion/commits?author=dincerguner" title="Code">💻</a></td>
     </tr>
   </tbody>
 </table>

diff --git a/docs/CHANGELOG.md b/docs/CHANGELOG.md
@@ -6,8 +6,13 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 
 ## [Unreleased] - 2023-09-27
 
-## Add
+## Added
 - Implement `TreeRegressor` trait for decision tree regression.
+
+## [Unreleased] - 2023-09-15
+
+### Added
+- Added gather operator.
 
 ## [Unreleased] - 2023-09-03
 

diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md
@@ -76,8 +76,10 @@
     * [tensor.onehot](framework/operators/tensor/tensor.onehot.md)
     * [tensor.slice](framework/operators/tensor/tensor.slice.md)
     * [tensor.concat](framework/operators/tensor/tensor.concat.md)
+    * [tensor.gather](framework/operators/tensor/tensor.gather.md)
     * [tensor.quantize\_linear](framework/operators/tensor/tensor.quantize\_linear.md)
     * [tensor.dequantize\_linear](framework/operators/tensor/tensor.dequantize\_linear.md)
+    * [tensor.nonzero](framework/operators/tensor/tensor.nonzero.md)
   * [Neural Network](framework/operators/neural-network/README.md)
     * [nn.relu](framework/operators/neural-network/nn.relu.md)
     * [nn.leaky\_relu](framework/operators/neural-network/nn.leaky\_relu.md)

diff --git a/docs/framework/compatibility.md b/docs/framework/compatibility.md
@@ -49,8 +49,9 @@ You can see below the list of current supported ONNX Operators:
 |           [Onehot](operators/tensor/tensor.onehot.md)           | :white\_check\_mark: |
 |            [Slice](operators/tensor/tensor.slice.md)            | :white\_check\_mark: |
 |           [Concat](operators/tensor/tensor.concat.md)           | :white\_check\_mark: |
+|           [Gather](operators/tensor/tensor.gather.md)           | :white\_check\_mark: |
 |  [QuantizeLinear](operators/tensor/tensor.quantize\_linear.md)  | :white\_check\_mark: |
 | [DequantizeLinear](operators/tensor/tensor.quantize\_linear.md) | :white\_check\_mark: |
+|          [Nonzero](operators/tensor/tensor.nonzero.md)          | :white\_check\_mark: |
 
-
-Current Operators support: **44/156 (28%)**
+Current Operators support: **45/156 (29%)**
diff --git a/docs/framework/numbers/fixed-point/README.md b/docs/framework/numbers/fixed-point/README.md
@@ -34,40 +34,40 @@ use orion::numbers::fixed_point::core::FixedTrait;
 
 `Fixed` trait defines the operations that can be performed on a fixed point.
 
-| function                                 | description                                                                                      |
-| ---------------------------------------- | ------------------------------------------------------------------------------------------------ |
-| [`fp.new`](fp.new.md)                    | Constructs a new fixed point instance.                                                           |
-| [`fp.new_unscaled`](fp.new\_unscaled.md) | Creates a new fixed point instance with the specified unscaled magnitude and sign.               |
-| [`fp.from_felt`](fp.from\_felt.md)       | Creates a new fixed point instance from a felt252 value.                                         |
-| [`fp.abs`](fp.abs.md)                    | Returns the absolute value of the fixed point number.                                            |
-| [`fp.ceil`](fp.ceil.md)                  | Returns the smallest integer greater than or equal to the fixed point number.                    |
-| [`fp.exp`](fp.exp.md)                    | Returns the value of e raised to the power of the fixed point number.                            |
-| [`fp.exp2`](fp.exp2.md)                  | Returns the value of 2 raised to the power of the fixed point number.                            |
-| [`fp.floor`](fp.floor.md)                | Returns the largest integer less than or equal to the fixed point number.                        |
-| [`fp.ln`](fp.ln.md)                      | Returns the natural logarithm of the fixed point number.                                         |
-| [`fp.log2`](fp.log2.md)                  | Returns the base-2 logarithm of the fixed point number.                                          |
-| [`fp.log10`](fp.log10.md)                | Returns the base-10 logarithm of the fixed point number.                                         |
-| [`fp.pow`](fp.pow.md)                    | Returns the result of raising the fixed point number to the power of another fixed point number. |
-| [`fp.round`](fp.round.md)                | Rounds the fixed point number to the nearest whole number.                                       |
-| [`fp.sqrt`](fp.sqrt.md)                  | Returns the square root of the fixed point number.                                               |
-| [`fp.acos`](fp.acos.md)                  | Returns the arccosine (inverse of cosine) of the fixed point number.                             |
-| [`fp.acos_fast`](fp.acos\_fast.md)       | Returns the arccosine (inverse of cosine) of the fixed point number faster with LUT.             |
-| [`fp.asin`](fp.asin.md)                  | Returns the arcsine (inverse of sine) of the fixed point number.                                 |
-| [`fp.asin_fast`](fp.asin\_fast.md)       | Returns the arcsine (inverse of sine) of the fixed point number faster with LUT.                 |
-| [`fp.atan`](fp.atan.md)                  | Returns the arctangent (inverse of tangent) of the input fixed point number.                     |
-| [`fp.atan_fast`](fp.atan\_fast.md)       | Returns the arctangent (inverse of tangent) of the input fixed point number faster with LUT.     |
-| [`fp.cos`](fp.cos.md)                    | Returns the cosine of the fixed point number.                                                    |
-| [`fp.cos_fast`](fp.cos\_fast.md)         | Returns the cosine of the fixed point number fast with LUT.                                      |
-| [`fp.sin`](fp.sin.md)                    | Returns the sine of the fixed point number.                                                      |
-| [`fp.sin_fast`](fp.sin\_fast.md)         | Returns the sine of the fixed point number faster with LUT.                                      |
-| [`fp.tan`](fp.tan.md)                    | Returns the tangent of the fixed point number.                                                   |
-| [`fp.tan_fast`](fp.tan\_fast.md)         | Returns the tangent of the fixed point number faster with LUT.                                   |
-| [`fp.acosh`](fp.acosh.md)                | Returns the value of the inverse hyperbolic cosine of the fixed point number.                    |
-| [`fp.asinh`](fp.asinh.md)                | Returns the value of the inverse hyperbolic sine of the fixed point number.                      |
-| [`fp.atanh`](fp.atanh.md)                | Returns the value of the inverse hyperbolic tangent of the fixed point number.                   |
-| [`fp.cosh`](fp.cosh.md)                  | Returns the value of the hyperbolic cosine of the fixed point number.                            |
-| [`fp.sinh`](fp.sinh.md)                  | Returns the value of the hyperbolic sine of the fixed point number.                              |
-| [`fp.tanh`](fp.tanh.md)                  | Returns the value of the hyperbolic tangent of the fixed point number.                           |
+| function | description |
+| --- | --- |
+| [`fp.new`](fp.new.md) | Constructs a new fixed point instance. |
+| [`fp.new_unscaled`](fp.new\_unscaled.md) | Creates a new fixed point instance with the specified unscaled magnitude and sign. |
+| [`fp.from_felt`](fp.from\_felt.md) | Creates a new fixed point instance from a felt252 value. |
+| [`fp.abs`](fp.abs.md) | Returns the absolute value of the fixed point number. |
+| [`fp.ceil`](fp.ceil.md) | Returns the smallest integer greater than or equal to the fixed point number. |
+| [`fp.exp`](fp.exp.md) | Returns the value of e raised to the power of the fixed point number. |
+| [`fp.exp2`](fp.exp2.md) | Returns the value of 2 raised to the power of the fixed point number. |
+| [`fp.floor`](fp.floor.md) | Returns the largest integer less than or equal to the fixed point number. |
+| [`fp.ln`](fp.ln.md) | Returns the natural logarithm of the fixed point number. |
+| [`fp.log2`](fp.log2.md) | Returns the base-2 logarithm of the fixed point number. |
+| [`fp.log10`](fp.log10.md) | Returns the base-10 logarithm of the fixed point number. |
+| [`fp.pow`](fp.pow.md) | Returns the result of raising the fixed point number to the power of another fixed point number. |
+| [`fp.round`](fp.round.md) | Rounds the fixed point number to the nearest whole number. |
+| [`fp.sqrt`](fp.sqrt.md) | Returns the square root of the fixed point number. |
+| [`fp.acos`](fp.acos.md) | Returns the  arccosine (inverse of cosine) of the fixed point number. |
+| [`fp.acos_fast`](fp.acos\_fast.md) | Returns the  arccosine (inverse of cosine) of the fixed point number faster with LUT. |
+| [`fp.asin`](fp.asin.md) | Returns the  arcsine (inverse of sine) of the fixed point number. |
+| [`fp.asin_fast`](fp.asin\_fast.md) | Returns the  arcsine (inverse of sine) of the fixed point number faster with LUT. |
+| [`fp.atan`](fp.atan.md) | Returns the arctangent (inverse of tangent) of the input fixed point number. |
+| [`fp.atan_fast`](fp.atan\_fast.md) | Returns the arctangent (inverse of tangent) of the input fixed point number faster with LUT. |
+| [`fp.cos`](fp.cos.md) | Returns the cosine of the fixed point number. |
+| [`fp.cos_fast`](fp.cos\_fast.md) | Returns the cosine of the fixed point number fast with LUT. |
+| [`fp.sin`](fp.sin.md) | Returns the sine of the fixed point number. |
+| [`fp.sin_fast`](fp.sin\_fast.md) | Returns the sine of the fixed point number faster with LUT. |
+| [`fp.tan`](fp.tan.md) | Returns the tangent of the fixed point number. |
+| [`fp.tan_fast`](fp.tan\_fast.md) | Returns the tangent of the fixed point number faster with LUT. |
+| [`fp.acosh`](fp.acosh.md) | Returns the value of the inverse hyperbolic cosine of the fixed point number. |
+| [`fp.asinh`](fp.asinh.md) | Returns the value of the inverse hyperbolic sine of the fixed point number. |
+| [`fp.atanh`](fp.atanh.md) | Returns the value of the inverse hyperbolic tangent of the fixed point number. |
+| [`fp.cosh`](fp.cosh.md) | Returns the value of the hyperbolic cosine of the fixed point number. |
+| [`fp.sinh`](fp.sinh.md) | Returns the value of the hyperbolic sine of the fixed point number. |
+| [`fp.tanh`](fp.tanh.md) | Returns the value of the hyperbolic tangent of the fixed point number. |
 
 ### Arithmetic & Comparison operators
 

diff --git a/docs/framework/operators/neural-network/README.md b/docs/framework/operators/neural-network/README.md
@@ -21,13 +21,14 @@ Orion supports currently these `NN` types.
 
 `NNTrait` contains the primitive functions to build a Neural Network.
 
-| function                             | description                                                                               |
-| ------------------------------------ | ----------------------------------------------------------------------------------------- |
-| [`nn.relu`](nn.relu.md)              | Applies the rectified linear unit function element-wise.                                  |
-| [`nn.leaky_relu`](nn.leaky\_relu.md) | Applies the leaky rectified linear unit (Leaky ReLU) activation function element-wise.    |
-| [`nn.sigmoid`](nn.sigmoid.md)        | Applies the Sigmoid function to an n-dimensional input tensor.                            |
-| [`nn.softmax`](nn.softmax.md)        | Computes softmax activations.                                                             |
-| [`nn.logsoftmax`](nn.logsoftmax.md)  | Applies the natural log to Softmax function to an n-dimensional input Tensor.             |
-| [`nn.softsign`](nn.softsign.md)      | Applies the Softsign function element-wise.                                               |
-| [`nn.softplus`](nn.softplus.md)      | Applies the Softplus function element-wise.                                               |
-| [`nn.linear`](nn.linear.md)          | Performs a linear transformation of the input tensor using the provided weights and bias. |
+| function | description |
+| --- | --- |
+| [`nn.relu`](nn.relu.md) | Applies the rectified linear unit function element-wise. |
+| [`nn.leaky_relu`](nn.leaky\_relu.md) | Applies the leaky rectified linear unit (Leaky ReLU) activation function element-wise. |
+| [`nn.sigmoid`](nn.sigmoid.md) | Applies the Sigmoid function to an n-dimensional input tensor. |
+| [`nn.softmax`](nn.softmax.md) | Computes softmax activations. |
+| [`nn.logsoftmax`](nn.logsoftmax.md) | Applies the natural log to Softmax function to an n-dimensional input Tensor. |
+| [`nn.softsign`](nn.softsign.md) | Applies the Softsign function element-wise. |
+| [`nn.softplus`](nn.softplus.md) | Applies the Softplus function element-wise. |
+| [`nn.linear`](nn.linear.md) | Performs a linear transformation of the input tensor using the provided weights and bias. |
+