Merge branch 'master' into 0.26.0_dev

kneron · Oct 10, 2024 · 491034e · 491034e
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diff --git a/docs/toolchain/appendix/app_flow_manual.md b/docs/toolchain/appendix/app_flow_manual.md
@@ -1,4 +1,4 @@
-# Kneron End to End Simulator v0.25.0
+# Kneron End to End Simulator v0.26.0
 
 This project allows users to perform image inference using Kneron's built in simulator. We encourage users to use simply use the kneron_inference function to perform the tests on your inputs.
 

diff --git a/docs/toolchain/appendix/history.md b/docs/toolchain/appendix/history.md
@@ -24,6 +24,22 @@
 
 ## Toolchain Change log
 
+* **[v0.26.0]**
+  * Optimize compiler for 730 graph cutting.
+  * Supports the flash attention model.
+  * Add producer name in kneronnxopt.
+  * Fix bugs.
+* **[v0.25.1]**
+  * ktc supports non-str platform conversion.
+  * Fix kneronnxopt argument name.
+  * Update conda environment
+    * base:
+      - numpy-1.21.0
+      - pandas-1.2.0
+    * onnx1.13:
+      - numpy-1.26.4
+      - pandas-2.2.2
+  * Fix bugs.
 * **[v0.25.0]**
     * **IP evaluator add arguments `weight_bandwidth` and `dma_bandwidth`.**
     * 730 toolchain full upgrade.

diff --git a/docs/toolchain/appendix/operators.md b/docs/toolchain/appendix/operators.md
@@ -104,4 +104,4 @@ Notes:
 12. 720 only supports Resize nodes which work as upsampleing. Same limitation as the Upsample.
 13. 530 and 630 only support SpaceToDepth with blocksize set to 2 or 4.
 14. 720 only supports Upsample with mode set to bilinear or nearest.
-
+15. LSTM, GRU and RNN currently are only supported in onnx opset 13 after using ONNX Converter conversion.
diff --git a/docs/toolchain/appendix/yolo_example.md b/docs/toolchain/appendix/yolo_example.md
@@ -2,7 +2,7 @@
 
 In this document, we provide a step by step example on how to utilize our tools to compile and test with a newly downloaded YOLOv3 model.
 
-> This document is writen for toolchain v0.25.1. If any description is not consistent with the latest toolchain, please refer to the main toolchain manual.
+> This document is writen for toolchain v0.26.0. If any description is not consistent with the latest toolchain, please refer to the main toolchain manual.
 
 ## Step 0: Prepare environment and data
 

diff --git a/docs/toolchain/manual_1_overview.md b/docs/toolchain/manual_1_overview.md
@@ -4,8 +4,8 @@
 
 # 1. Toolchain Overview
 
-**2024 Jun**
-**Toolchain v0.25.0**
+**2024 Oct**
+**Toolchain v0.26.0**
 
 ## 1.1. Introduction
 
@@ -20,16 +20,11 @@ In this document, you'll learn:
 
 **Major changes of the current version**
 
-* **[v0.25.0]**
-    * **IP evaluator add arguments `weight_bandwidth` and `dma_bandwidth`.**
-    * 730 toolchain full upgrade.
-    * Optimize batch compiler efficiency.
-    * Optimize batch compiler memory management algorithm.
-    * Support fmap over 4D.
-    * Support more operators (Abs, Log, Pow, Sign).
-    * Support mix accuracy mode.
-    * Update environment packages.
-    * Fix bugs.
+* **[v0.26.0]**
+  * Optimize compiler for 730 graph cutting.
+  * Supports the flash attention model.
+  * Add producer name in kneronnxopt.
+  * Fix bugs.
 
 ## 1.2. Workflow Overview
 

diff --git a/docs/toolchain/manual_2_deploy.md b/docs/toolchain/manual_2_deploy.md
@@ -37,8 +37,8 @@ You can use the following command to pull the latest toolchain docker.
 docker pull kneron/toolchain:latest
 ```
 
-Note that the latest toolchain version v0.25.0. You can find the version of the toolchain in
-`/workspace/version.txt` inside the docker. If you find your toolchain is earlier than v0.25.0, you may need to find the
+Note that the latest toolchain version v0.26.0. You can find the version of the toolchain in
+`/workspace/version.txt` inside the docker. If you find your toolchain is earlier than v0.26.0, you may need to find the
 document from the [manual history](appendix/history.md).
 
 ## 2.3. Toolchain Docker Overview