Merge pull request #87 from kneron:fix_typos

Fix_typos

Author: MrWhoami

.gitignore

@@ -2,6 +2,6 @@ __pycache__
 site/
 scripts/generated_tests/
 nohup.out
-error.log
+*.log
 *.pyc
 .vscode/settings.json

docs/520_2.0.0/sdk/solution_kdp2_host_mipi.md

@@ -27,7 +27,6 @@ User can edit and debug with Keil MDK for further implementation  [keil/MDK docs
     # bin_gen.py will concatenate SCPU/NCPU FW, models_520.nef to generate flash_image.bin  
     # Note that you may need to substitute '/' for '\' in the path
     ```
-```
 
 - **Program the firmware bin image**  
     Reference:  [Jlink programming](../flash_management/flash_management.md#4-program-flash-via-jtagswd-interface)  

docs/520_2.1.0/sdk/solution_kdp2_host_mipi.md

@@ -27,7 +27,6 @@ User can edit and debug with Keil MDK for further implementation  [keil/MDK docs
     # bin_gen.py will concatenate SCPU/NCPU FW, models_520.nef to generate flash_image.bin  
     # Note that you may need to substitute '/' for '\' in the path
     ```
-```
 
 - **Program the firmware bin image**  
     Reference:  [Jlink programming](../flash_management/flash_management.md#4-program-flash-via-jtagswd-interface)  

docs/520_2.2.0/sdk/solution_kdp2_host_mipi.md

@@ -27,7 +27,6 @@ User can edit and debug with Keil MDK for further implementation  [keil/MDK docs
     # bin_gen.py will concatenate SCPU/NCPU FW, models_520.nef to generate flash_image.bin  
     # Note that you may need to substitute '/' for '\' in the path
     ```
-```
 
 - **Program the firmware bin image**  
     Reference:  [Jlink programming](../flash_management/flash_management.md#4-program-flash-via-jtagswd-interface)  

docs/model_training/OpenMMLab/RSN18.md

@@ -40,7 +40,7 @@ If mmcv and mmcv-full are both installed, there will be `ModuleNotFoundError`.
 
 # Step 1: Training models on standard datasets
 
-MMPose provides hundreds of existing and existing pose models in [Model Zoo](https://mmpose.readthedocs.io/en/latest/modelzoo.html), and supports several standard datasets like COCO, MPII, FREIHAND, etc. This note demonstrates how to perform common object detection tasks with these existing models and standard datasets, including:
+MMPose provides hundreds of existing and existing pose models in [Model Zoo](https://mmpose.readthedocs.io/en/latest/model_zoo.html), and supports several standard datasets like COCO, MPII, FREIHAND, etc. This note demonstrates how to perform common object detection tasks with these existing models and standard datasets, including:
 
 - Use existing models to inference on given images.
 - Test existing models on standard datasets.

docs/model_training/regression.md

@@ -82,7 +82,7 @@ lite_hrnet
 ```
 
 **For MPII data**, please download from [MPII Human Pose Dataset](http://human-pose.mpi-inf.mpg.de/).
-The original annotation files have been converted into json format, please download them from [mpii_annotations](https://openmmlab.oss-cn-hangzhou.aliyuncs.com/mmpose/datasets/mpii_annotations.tar).
+The original annotation files have been converted into json format, please download them from [mpii_annotations](https://download.openmmlab.com/mmpose/datasets/mpii_annotations.tar).
 Extract them under `$LITE_HRNET/data`, and make them look like this:
 
 ```

docs/toolchain/appendix/command_line.md

@@ -172,20 +172,20 @@ Here is an example JSON with comments. **Please remove all the comments in the r
     // [optional]
     // The encryption setting for the batch compiler. Default is not enabled.
     "encryption": {
-        // Whether enable encrytion
+        // Whether enable encryption
         "whether_encryption": false,
-        // Encrytion mode selection
+        // Encryption mode selection
         // Options: 1, 2
         "encryption mode": 1,
-        // Encrytion key. A hex string. Required in mode 1.
+        // Encryption key. A hex string. Required in mode 1.
         "encryption_key": "0x12345678",
-        // Encrytion file. An absolute path. Required in mode 1.
+        // Encryption file. An absolute path. Required in mode 1.
         "key_file": "/data1/enc.txt",
-        // Encrytion key. A hex string. Required in mode 2, optional in mode 1.
+        // Encryption key. A hex string. Required in mode 2, optional in mode 1.
         "encryption_efuse_key": "0x12345678"
     },
     // [optional]
-    // Whether seperate buffers for each model output. Default is true.
+    // Whether separate buffers for each model output. Default is true.
     "dedicated_output_buffer": true,
     // [optional]
     // Whether compress weight for saving space.

docs/toolchain/appendix/converters.md

@@ -430,7 +430,7 @@ it is the output of a `Gemm`, there is no need to do any more edition.
 the output, then the model is transposed into channel first. We can use the model editor to safely remove the
 `Transpose`.
 
-**Step 3:** If the input shape is not availble or invalid, we can use the editor to give it a valid shape.
+**Step 3:** If the input shape is not available or invalid, we can use the editor to give it a valid shape.
 
 **Step 4:** The model need to pass `onnx2onnx.py` again after running the editor.  See
 [section 6](#6-onnx-to-onnx-onnx-optimization).
@@ -469,7 +469,7 @@ Cutting is not recommended to be done with other operations together.
 positional arguments:
 
 in_file   input ONNX FILE
-out_file  ouput ONNX FILE
+out_file  output ONNX FILE
 
 optional arguments:
 

docs/toolchain/appendix/history.md

@@ -28,7 +28,7 @@
     * Add Einsum defusion in kneronnxopt.
     * Support Cast to int64 in knerex and compiler.
     * Support HardSwish, Topk and Split nodes in knerex and compiler.
-    * Update the regression flow log printing. Print success log seperately from errors to avoid confusing.
+    * Update the regression flow log printing. Print success log separately from errors to avoid confusing.
     * Update IP evaluator for DMA with small length.
     * Fix the kneronnxopt bug in `replace_Gather_with_Slice`.
     * Fix the knerex bug: node Concat channel mismatch.
@@ -40,7 +40,7 @@
     * Add `const_in_bitwidth_mode` option for quantization. The default is int16. Unless the customer particularly desires to increase the speed, it can be changed to int8
     * Update analyzer exception log.
     * Update kneronnxopt to set expanding dilated Conv to False by default.
-    * Update kneronnxopt to diable fusing BatchNormalization into Conv by default.
+    * Update kneronnxopt to disable fusing BatchNormalization into Conv by default.
     * Update compiler for the deep search memory estimation algorithm.
     * Update compiler to extend the timeout for deep search.
     * Update compiler to change expt/log/softmax to 16b.
@@ -51,7 +51,7 @@
 * **[v0.31.0]**
     * **Introduce `quan_config` for `ModelConfig.analysis` for more detailed quantization configuration.**
     * **Add `ktc.opt_and_eval` command for quick onnx optimization and evaluation.**
-    * **Remove deprecated `compilerIpevaluator_730.sh` and add warning messages to other depecated scritps.**
+    * **Remove deprecated `compilerIpevaluator_730.sh` and add warning messages to other deprecated scripts.**
     * Add `compiler_tiling` option for IP evaluator.
     * Add `--clear-shapes` and `--replace-avgpool-with-conv` flags to kneronnxopt.
     * Add `--seperate` flag to kneronnxopt.onnx_vs_onnx for detailed output comparison.
@@ -188,7 +188,7 @@
     * Support text procssing models.
     * Set flatbuffer as the default 720 compiling mode.
     * Refactor compiler and analyser inner structure.
-    * **Due to the structure change, batch compiler do not backwark support previous bie files.**
+    * **Due to the structure change, batch compiler do not backward support previous bie files.**
     * Refactor toolchain manual.
     * Bug fixes.
 * **[v0.19.0]**
@@ -198,10 +198,10 @@
     * ktc: Add `mode`, `optimize`, `export_dynasty_dump` argument to analysis.
     * ktc: Set `skip_verify` in analysis as deprecated.
     * regression: Add optimize option for optimization level selection.
-    * regression: Fix interface to asure platform is integer.
+    * regression: Fix interface to assure platform is integer.
     * converter: Add 720 batch process with `--opt-720` flag.
     * converter: Add enable shared weight duplication flag `-d`. By default, shared weights are no longer duplicated.
-    * converter: Remove `-s` flag since it is now the default behavious.
+    * converter: Remove `-s` flag since it is now the default behavior.
     * converter: Optimize debug output.
     * compiler: Fix RDMA not correctly executed.
     * E2E simulator: Change dynasty library fetching method.

docs/toolchain/appendix/nef_utils_guide.md

@@ -14,8 +14,8 @@
     POST_ENC        : -E(--enc) <nef_file_path> -n(--KN) "kn_number"; [Linux Only]
 
   options:
-    -o, --output    : output file name prefix, defautl is "model_(target)"
-    -O, --folder    : output folder, defautl is "output/"
+    -o, --output    : output file name prefix, default is "model_(target)"
+    -O, --folder    : output folder, default is "output/"
     -V, --version   : show version number
     -H, --help      : show this message