From 8a100b731efba8c18f7e7b6cb1cb04ded94248b3 Mon Sep 17 00:00:00 2001
From: aky15 <ankeyu.aky@11.17.44.249>
Date: 星期二, 21 三月 2023 14:52:15 +0800
Subject: [PATCH] add aishell-1 rnnt egs

---
 funasr/runtime/onnxruntime/readme.md |   15 ++++++++++-----
 1 files changed, 10 insertions(+), 5 deletions(-)

diff --git a/funasr/runtime/onnxruntime/readme.md b/funasr/runtime/onnxruntime/readme.md
index c13fe4a..fa2f276 100644
--- a/funasr/runtime/onnxruntime/readme.md
+++ b/funasr/runtime/onnxruntime/readme.md
@@ -7,7 +7,7 @@
 
  瀹夎Vs2022 鎵撳紑cpp_onnx鐩綍涓嬬殑cmake宸ョ▼锛岀洿鎺� build鍗冲彲銆� 鏈粨搴撳凡缁忓噯澶囧ソ鎵�鏈夌浉鍏充緷璧栧簱銆�
 
- Windows涓嬪凡缁忛缃甪ftw3銆乷nnxruntime鍙妎penblas搴�
+ Windows涓嬪凡缁忛缃甪ftw3鍙妎nnxruntime搴�
 
 
 ### Linux
@@ -29,6 +29,7 @@
 
 ## 渚濊禆
 - fftw3
+- openblas
 - onnxruntime
 
 ## 瀵煎嚭onnx鏍煎紡妯″瀷鏂囦欢
@@ -47,18 +48,22 @@
 ## Building Guidance for Linux/Unix
 
 ```
-git clone https://github.com/RapidAI/RapidASR.git
-cd RapidASR/cpp_onnx/
+git clone https://github.com/alibaba-damo-academy/FunASR.git && cd funasr/runtime/onnxruntime
 mkdir build
 cd build
 # download an appropriate onnxruntime from https://github.com/microsoft/onnxruntime/releases/tag/v1.14.0
 # here we get a copy of onnxruntime for linux 64
 wget https://github.com/microsoft/onnxruntime/releases/download/v1.14.0/onnxruntime-linux-x64-1.14.0.tgz
+tar -zxvf onnxruntime-linux-x64-1.14.0.tgz
 # ls
 # onnxruntime-linux-x64-1.14.0  onnxruntime-linux-x64-1.14.0.tgz
 
 #install fftw3-dev
-apt install libfftw3-dev
+ubuntu: apt install libfftw3-dev
+centos: yum install fftw fftw-devel
+
+#install openblas
+bash ./third_party/install_openblas.sh
 
 # build
  cmake  -DCMAKE_BUILD_TYPE=release .. -DONNXRUNTIME_DIR=/mnt/c/Users/ma139/RapidASR/cpp_onnx/build/onnxruntime-linux-x64-1.14.0
@@ -106,4 +111,4 @@
 
 ## Acknowledge
 1. We acknowledge [mayong](https://github.com/RapidAI/RapidASR/tree/main/cpp_onnx) for contributing the onnxruntime(cpp api).
-2. We borrowed a lot of code from [FastASR](https://github.com/chenkui164/FastASR) for audio frontend and text-postprocess.
\ No newline at end of file
+2. We borrowed a lot of code from [FastASR](https://github.com/chenkui164/FastASR) for audio frontend and text-postprocess.

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