From 14a14d0e40e48942fe03241532b81636062a3420 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 21 四月 2023 15:32:34 +0800
Subject: [PATCH] docs

---
 docs/academic_recipe/sv_recipe.md   |    0 
 docs/academic_recipe/vad_recipe.md  |    0 
 docs/academic_recipe/lm_recipe.md   |    0 
 docs/academic_recipe/sd_recipe.md   |    0 
 funasr/export/README.md             |   64 ++++++++++++++++++++-----------
 docs/index.rst                      |   18 ++++----
 docs/academic_recipe/asr_recipe.md  |    0 
 docs/academic_recipe/punc_recipe.md |    0 
 8 files changed, 50 insertions(+), 32 deletions(-)

diff --git a/docs/recipe/asr_recipe.md b/docs/academic_recipe/asr_recipe.md
similarity index 100%
rename from docs/recipe/asr_recipe.md
rename to docs/academic_recipe/asr_recipe.md
diff --git a/docs/recipe/lm_recipe.md b/docs/academic_recipe/lm_recipe.md
similarity index 100%
rename from docs/recipe/lm_recipe.md
rename to docs/academic_recipe/lm_recipe.md
diff --git a/docs/recipe/punc_recipe.md b/docs/academic_recipe/punc_recipe.md
similarity index 100%
rename from docs/recipe/punc_recipe.md
rename to docs/academic_recipe/punc_recipe.md
diff --git a/docs/recipe/sd_recipe.md b/docs/academic_recipe/sd_recipe.md
similarity index 100%
rename from docs/recipe/sd_recipe.md
rename to docs/academic_recipe/sd_recipe.md
diff --git a/docs/recipe/sv_recipe.md b/docs/academic_recipe/sv_recipe.md
similarity index 100%
rename from docs/recipe/sv_recipe.md
rename to docs/academic_recipe/sv_recipe.md
diff --git a/docs/recipe/vad_recipe.md b/docs/academic_recipe/vad_recipe.md
similarity index 100%
rename from docs/recipe/vad_recipe.md
rename to docs/academic_recipe/vad_recipe.md
diff --git a/docs/index.rst b/docs/index.rst
index 30cf13e..e8b0711 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -22,13 +22,13 @@
 
 .. toctree::
    :maxdepth: 1
-   :caption: Academic Recipe
+   :caption: Academic Egs
 
-   ./recipe/asr_recipe.md
-   ./recipe/punc_recipe.md
-   ./recipe/vad_recipe.md
-   ./recipe/sv_recipe.md
-   ./recipe/sd_recipe.md
+   ./academic_recipe/asr_recipe.md
+   ./academic_recipe/punc_recipe.md
+   ./academic_recipe/vad_recipe.md
+   ./academic_recipe/sv_recipe.md
+   ./academic_recipe/sd_recipe.md
 
 
 .. toctree::
@@ -40,7 +40,7 @@
 
 .. toctree::
    :maxdepth: 1
-   :caption: ModelScope pipeline
+   :caption: ModelScope Egs
 
    ./modescope_pipeline/quick_start.md
    ./modescope_pipeline/asr_pipeline.md
@@ -52,13 +52,13 @@
 
 .. toctree::
    :maxdepth: 1
-   :caption: Huggingface pipeline
+   :caption: Huggingface Egs
 
    Undo
 
 .. toctree::
    :maxdepth: 1
-   :caption: funasr library
+   :caption: Funasr Library
 
    ./build_task.md
 
diff --git a/funasr/export/README.md b/funasr/export/README.md
index d403121..cb17928 100644
--- a/funasr/export/README.md
+++ b/funasr/export/README.md
@@ -16,7 +16,7 @@
 pip install onnx onnxruntime # Optional, for onnx quantization
 ```
 
-## Export model
+## Usage
    `Tips`: torch>=1.11.0
 
    ```shell
@@ -37,7 +37,46 @@
 
    `fallback-num`: specify the number of fallback layers to perform automatic mixed precision quantization.
 
-## Performance Benchmark of Runtime
+
+### Export onnx format model
+#### Export model from modelscope
+```shell
+python -m funasr.export.export_model --model-name damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type onnx
+```
+#### Export model from local path
+The model'name must be `model.pb`
+```shell
+python -m funasr.export.export_model --model-name /mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type onnx
+```
+#### Test onnx model
+Ref to [test](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export/test)
+
+### Export torchscripts format model
+#### Export model from modelscope
+```shell
+python -m funasr.export.export_model --model-name damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type torch
+```
+
+#### Export model from local path
+The model'name must be `model.pb`
+```shell
+python -m funasr.export.export_model --model-name /mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type torch
+```
+#### Test onnx model
+Ref to [test](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export/test)
+
+## Runtime
+### ONNXRuntime
+#### ONNXRuntime-python
+Ref to [docs](https://alibaba-damo-academy.github.io/FunASR/en/runtime/onnxruntime_python.html)
+#### ONNXRuntime-cpp
+Ref to [docs](https://alibaba-damo-academy.github.io/FunASR/en/runtime/onnxruntime_cpp.html)
+### Libtorch
+#### Libtorch-python
+Ref to [docs](https://alibaba-damo-academy.github.io/FunASR/en/runtime/libtorch_python.html)
+#### Libtorch-cpp
+Undo
+## Performance Benchmark
 
 ### Paraformer on CPU
 
@@ -48,27 +87,6 @@
 ### Paraformer on GPU
 [nv-triton](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/runtime/triton_gpu)
 
-## For example
-### Export onnx format model
-Export model from modelscope
-```shell
-python -m funasr.export.export_model --model-name damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type onnx
-```
-Export model from local path, the model'name must be `model.pb`.
-```shell
-python -m funasr.export.export_model --model-name /mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type onnx
-```
-
-### Export torchscripts format model
-Export model from modelscope
-```shell
-python -m funasr.export.export_model --model-name damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type torch
-```
-
-Export model from local path, the model'name must be `model.pb`.
-```shell
-python -m funasr.export.export_model --model-name /mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type torch
-```
 
 ## Acknowledge
 Torch model quantization is supported by [BladeDISC](https://github.com/alibaba/BladeDISC), an end-to-end DynamIc Shape Compiler project for machine learning workloads. BladeDISC provides general, transparent, and ease of use performance optimization for TensorFlow/PyTorch workloads on GPGPU and CPU backends. If you are interested, please contact us.

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