From 6427c834dfd97b1f05c6659cdc7ccf010bf82fe1 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期一, 24 四月 2023 19:50:07 +0800
Subject: [PATCH] update
---
funasr/runtime/python/libtorch/README.md | 41 ++++++++++++++++++++++++-----------------
1 files changed, 24 insertions(+), 17 deletions(-)
diff --git a/funasr/runtime/python/libtorch/README.md b/funasr/runtime/python/libtorch/README.md
index b3d3111..aeb2eae 100644
--- a/funasr/runtime/python/libtorch/README.md
+++ b/funasr/runtime/python/libtorch/README.md
@@ -1,5 +1,6 @@
-## Using paraformer with libtorch
+## Using funasr with libtorch
+[FunASR](https://github.com/alibaba-damo-academy/FunASR) hopes to build a bridge between academic research and industrial applications on speech recognition. By supporting the training & finetuning of the industrial-grade speech recognition model released on ModelScope, researchers and developers can conduct research and production of speech recognition models more conveniently, and promote the development of speech recognition ecology. ASR for Fun锛�
### Introduction
- Model comes from [speech_paraformer](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary).
@@ -8,32 +9,32 @@
1. Export the model.
- Command: (`Tips`: torch >= 1.11.0 is required.)
- ```shell
- python -m funasr.export.export_model [model_name] [export_dir] [true]
- ```
- `model_name`: the model is to export.
-
- `export_dir`: the dir where the onnx is export.
-
More details ref to ([export docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export))
- `e.g.`, 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 --quantize False
```
- `e.g.`, 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 ./damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type torch --quantize False
```
-2. Install the `torch_paraformer`.
+2. Install the `funasr_torch`.
+
+ install from pip
+ ```shell
+ pip install --upgrade funasr_torch -i https://pypi.Python.org/simple
+ ```
+ or install from source code
+
```shell
git clone https://github.com/alibaba/FunASR.git && cd FunASR
cd funasr/runtime/python/libtorch
+ python setup.py build
python setup.py install
```
-
3. Run the demo.
- Model_dir: the model path, which contains `model.torchscripts`, `config.yaml`, `am.mvn`.
@@ -41,7 +42,7 @@
- Output: `List[str]`: recognition result.
- Example:
```python
- from torch_paraformer import Paraformer
+ from funasr_torch import Paraformer
model_dir = "/nfs/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
model = Paraformer(model_dir, batch_size=1)
@@ -52,15 +53,21 @@
print(result)
```
+## Performance benchmark
+
+Please ref to [benchmark](https://github.com/alibaba-damo-academy/FunASR/blob/main/funasr/runtime/python/benchmark_libtorch.md)
+
## Speed
Environment锛欼ntel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz
Test [wav, 5.53s, 100 times avg.](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav)
-| Backend | RTF |
-|:-------:|:-----------------:|
-| Pytorch | 0.110 |
-| Onnx | 0.038 |
+| Backend | RTF (FP32) |
+|:--------:|:----------:|
+| Pytorch | 0.110 |
+| Libtorch | 0.048 |
+| Onnx | 0.038 |
## Acknowledge
+This project is maintained by [FunASR community](https://github.com/alibaba-damo-academy/FunASR).
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