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update tensorrt docker & readme

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makaveli10
2024-01-19 07:30:50 -05:00
parent b955e63dc1
commit e3084b34cb
2 changed files with 5 additions and 5 deletions
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TensorRT_whisper.md
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@@ -12,7 +12,7 @@ cd WhisperLive
```
- Build the TensorRT-LLM docker image
```bash
docker build --file docker/Dockerfile.tensorrt --tag tensorrt_llm/devel:latest .
docker build --file docker/Dockerfile.tensorrt --tag tensorrt_llm:latest .
```
**NOTE**: This could take some time.
- Next, we run the docker image and mount WhisperLive repo to the containers `/home` directory.
@@ -20,7 +20,7 @@ docker build --file docker/Dockerfile.tensorrt --tag tensorrt_llm/devel:latest .
docker run -it --gpus all --shm-size=8g \
--ipc=host --ulimit memlock=-1 --ulimit stack=67108864 \
-v /path/to/WhisperLive:/home/WhisperLive \
tensorrt_llm/devel:latest
tensorrt_llm:latest
```
- Once inside the docker container, make sure to test the installation.
```bash
@@ -31,7 +31,7 @@ python -c "import torch; import tensorrt; import tensorrt_llm"
**NOTE**: Uncomment and update library paths if imports fail.
## Whisper TensorRT Engine
- For this demo we build `small.en` and `small` multilingual TensorRT engine. The script logs the path of the directory with Whisper TensorRT engine. We need the model_path to run the server.
- We build `small.en` and `small` multilingual TensorRT engine. The script logs the path of the directory with Whisper TensorRT engine. We need the model_path to run the server.
```bash
# convert small.en
bash build_whisper_tensorrt /path/to/TensorRT-LLM/examples small.en