129 lines
3.2 KiB
Markdown
129 lines
3.2 KiB
Markdown
# Build and deploy Translation Application on AMD GPU (ROCm)
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## Build images
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### Build the LLM Docker Image
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```bash
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### Cloning repo
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git clone https://github.com/opea-project/GenAIComps.git
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cd GenAIComps
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### Build Docker image
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docker build -t opea/llm-textgen:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/llms/src/text-generation/Dockerfile .
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```
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### Build the MegaService Docker Image
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```bash
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### Cloning repo
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git clone https://github.com/opea-project/GenAIExamples
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cd GenAIExamples/Translation/
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### Build Docker image
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docker build -t opea/translation:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
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```
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### Build the UI Docker Image
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```bash
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cd GenAIExamples/Translation/ui
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### Build UI Docker image
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docker build -t opea/translation-ui:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f docker/Dockerfile .
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```
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## Deploy Translation Application
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### Features of Docker compose for AMD GPUs
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1. Added forwarding of GPU devices to the container TGI service with instructions:
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```yaml
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shm_size: 1g
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devices:
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- /dev/kfd:/dev/kfd
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- /dev/dri/:/dev/dri/
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cap_add:
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- SYS_PTRACE
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group_add:
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- video
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security_opt:
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- seccomp:unconfined
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```
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In this case, all GPUs are thrown. To reset a specific GPU, you need to use specific device names cardN and renderN.
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For example:
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```yaml
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shm_size: 1g
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devices:
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- /dev/kfd:/dev/kfd
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- /dev/dri/card0:/dev/dri/card0
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- /dev/dri/render128:/dev/dri/render128
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cap_add:
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- SYS_PTRACE
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group_add:
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- video
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security_opt:
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- seccomp:unconfined
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```
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To find out which GPU device IDs cardN and renderN correspond to the same GPU, use the GPU driver utility
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### Go to the directory with the Docker compose file
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```bash
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cd GenAIExamples/Translation/docker_compose/amd/gpu/rocm
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```
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### Set environments
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In the file "GenAIExamples/Translation/docker_compose/amd/gpu/rocm/set_env.sh " it is necessary to set the required values. Parameter assignments are specified in the comments for each variable setting command
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```bash
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chmod +x set_env.sh
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. set_env.sh
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```
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### Run services
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```
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docker compose up -d
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```
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# Validate the MicroServices and MegaService
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## Validate TGI service
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```bash
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curl http://${TRANSLATION_HOST_IP}:${TRANSLATIONS_TGI_SERVICE_PORT}/generate \
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-X POST \
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-d '{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":17, "do_sample": true}}' \
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-H 'Content-Type: application/json'
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```
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## Validate LLM service
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```bash
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curl http://${TRANSLATION_HOST_IP}:9000/v1/chat/completions \
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-X POST \
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-d '{"query":"Translate this from Chinese to English:\nChinese: 我爱机器翻译。\nEnglish:"}' \
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-H 'Content-Type: application/json'
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```
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## Validate MegaService
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```bash
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curl http://${TRANSLATION_HOST_IP}:${TRANSLATION_BACKEND_SERVICE_PORT}/v1/translation -H "Content-Type: application/json" -d '{
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"language_from": "Chinese","language_to": "English","source_language": "我爱机器翻译。"}'
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```
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## Validate Nginx service
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```bash
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curl http://${TRANSLATION_HOST_IP}:${TRANSLATION_NGINX_PORT}/v1/translation \
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-H "Content-Type: application/json" \
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-d '{"language_from": "Chinese","language_to": "English","source_language": "我爱机器翻译。"}'
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```
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