commit 667e82f0bcb770ac76461a6e7733b160f6359c84
author Jakub Sujak <jakub.sujak@arm.com> Tue Nov 07 22:39:30 2023 +0000
committer Jakub Sujak <jakub.sujak@arm.com> Fri Nov 10 13:52:49 2023 +0000
tree 6fe8e4ccb9d114bde51edec59260a4914f0724e0
parent 92c3d71bc23b92abc388da5c30d9c83841f41bb3

Update list of supported operators in documentation

Resolves: COMPMID-6633

Change-Id: I1e78df468876ec3569fa46597734e7de328b06f4
Signed-off-by: Jakub Sujak <jakub.sujak@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10663
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

docs/user_guide/operator_list.dox

diff --git a/docs/user_guide/operator_list.dox b/docs/user_guide/operator_list.dox
index 0c74214..25c856d 100644
--- a/docs/user_guide/operator_list.dox
+++ b/docs/user_guide/operator_list.dox
@@ -109,6 +109,26 @@
     <tr><td>F32<td>F32
     </table>
 <tr>
+  <td rowspan="1">AddMulAdd
+  <td rowspan="1" style="width:200px;"> Performs a fused Add + Mul + Add [+ Relu-based-Activation] operation.
+  <td rowspan="1">
+      <ul>
+       <li>n/a
+      </ul>
+  <td>NEAddMulAdd
+  <td>
+      <ul>
+       <li>Any
+      </ul>
+  <td>
+    <table>
+    <tr><th>input1<th>input2<th>bn_mul<th>bn_add<th>add_output<th>final_output
+    <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8<td>QASYMM8<td>QASYMM8<td>QASYMM8
+    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
+    <tr><td>F16<td>F16<td>F16<td>F16<td>F16<td>F16
+    <tr><td>F32<td>F32<td>F32<td>F32<td>F32<td>F32
+    </table>
+<tr>
   <td rowspan="2">ArgMinMaxLayer
   <td rowspan="2" style="width:200px;"> Function to calculate the index of the minimum or maximum values in a tensor based on an axis.
   <td rowspan="2">
@@ -2055,6 +2075,40 @@
     <tr><td>QASYMM8<td>S32<td>QSYMM16<td>QASYMM8<td>QSYMM16<td>QASYMM8
     </table>
 <tr>
+  <td rowspan="2">MatMul
+  <td rowspan="2" style="width:200px;"> Computes a matrix multiplication in batches.
+  <td rowspan="2">
+      <ul>
+       <li>ANEURALNETWORKS_BATCH_MATMUL
+      </ul>
+  <td>NEMatMul
+  <td>
+      <ul>
+       <li>Any
+      </ul>
+  <td>
+    <table>
+    <tr><th>lhs<th>rhs<th>dst
+    <tr><td>F32<td>F32<td>F32
+    <tr><td>F16<td>F16<td>F16
+    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
+    <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
+    </table>
+<tr>
+  <td>CLMatMul
+  <td>
+      <ul>
+       <li>All
+      </ul>
+  <td>
+    <table>
+    <tr><th>lhs<th>rhs<th>dst
+    <tr><td>F32<td>F32<td>F32
+    <tr><td>F16<td>F16<td>F16
+    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
+    <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
+    </table>
+<tr>
   <td rowspan="2">MaxUnpoolingLayer
   <td rowspan="2" style="width:200px;"> Function to perform MaxUnpooling.
   <td rowspan="2">
@@ -2155,6 +2209,27 @@
     <tr><td>F16<td>F16
     </table>
 <tr>
+  <td rowspan="1">NormalizePlanarYUVLayer
+  <td rowspan="1" style="width:200px;"> Function to compute normalization planar YUV layer.
+  <td rowspan="1">
+      <ul>
+       <li>n/a
+      </ul>
+  <td>CLNormalizePlanarYUVLayer
+  <td>
+      <ul>
+       <li>NHWC
+       <li>NCHW
+      </ul>
+  <td>
+    <table>
+    <tr><th>src<th>dst
+    <tr><td>F32<td>F32
+    <tr><td>F16<td>F16
+    <tr><td>QASYMM8<td>QASYMM8
+    <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
+    </table>
+<tr>
   <td rowspan="2">PadLayer
   <td rowspan="2" style="width:200px;"> Function to pad a tensor.
   <td rowspan="2">
@@ -2582,6 +2657,23 @@
     <tr><td>S32<td>S32
     </table>
 <tr>
+  <td rowspan="1">ReorderLayer
+  <td rowspan="1" style="width:200px;"> Reorders a tensor to a different weights format.
+  <td rowspan="1">
+      <ul>
+       <li>n/a
+      </ul>
+  <td>NEReorderLayer
+  <td>
+      <ul>
+       <li>NCHW
+      </ul>
+  <td>
+    <table>
+    <tr><th>src<th>dst
+    <tr><td>F32<td>F32
+    </table>
+<tr>
   <td rowspan="2">ReorgLayer
   <td rowspan="2" style="width:200px;"> Performs a reorganization layer of input tensor to the output tensor.
   <td rowspan="2">