From 4dc3a1b011e1e72eb737417b8e0e0bec7a7e3a6e Mon Sep 17 00:00:00 2001
From: aky15 <ankeyu.aky@11.17.44.249>
Date: 星期二, 21 三月 2023 15:12:21 +0800
Subject: [PATCH] resolve conflict
---
funasr/export/README.md | 33 +++++++++++++++++++++++++--------
1 files changed, 25 insertions(+), 8 deletions(-)
diff --git a/funasr/export/README.md b/funasr/export/README.md
index c44ad33..c05348e 100644
--- a/funasr/export/README.md
+++ b/funasr/export/README.md
@@ -2,6 +2,8 @@
## Environments
torch >= 1.11.0
modelscope >= 1.2.0
+ torch-quant >= 0.4.0 (required for exporting quantized torchscript format model)
+ # pip install torch-quant -i https://pypi.org/simple
## Install modelscope and funasr
@@ -11,31 +13,46 @@
`Tips`: torch>=1.11.0
```shell
- python -m funasr.export.export_model [model_name] [export_dir] [onnx]
+ python -m funasr.export.export_model \
+ --model-name [model_name] \
+ --export-dir [export_dir] \
+ --type [onnx, torch] \
+ --quantize [true, false] \
+ --fallback-num [fallback_num]
```
- `model_name`: the model is to export. It could be the models from modelscope, or local finetuned model(named: model.pb).
- `export_dir`: the dir where the onnx is export.
- `onnx`: `true`, export onnx format model; `false`, export torchscripts format model.
+ `model-name`: the model is to export. It could be the models from modelscope, or local finetuned model(named: model.pb).
+
+ `export-dir`: the dir where the onnx is export.
+
+ `type`: `onnx` or `torch`, export onnx format model or torchscript format model.
+
+ `quantize`: `true`, export quantized model at the same time; `false`, export fp32 model only.
+
+ `fallback-num`: specify the number of fallback layers to perform automatic mixed precision quantization.
+
## For example
### Export onnx format model
Export model from modelscope
```shell
-python -m funasr.export.export_model 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" true
+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 '/mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" true
+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 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" false
+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 '/mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" false
+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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