127 lines
3.7 KiB
Markdown
127 lines
3.7 KiB
Markdown
# Build and deploy CodeGen 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/CodeGen
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### Build Docker image
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docker build -t opea/codegen: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/CodeGen/ui
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### Build UI Docker image
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docker build -t opea/codegen-ui:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f ./docker/Dockerfile .
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### Build React UI Docker image (React UI allows you to use file uploads)
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docker build --no-cache -t opea/codegen-react-ui:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f ./docker/Dockerfile.react .
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```
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It is recommended to use the React UI as it works for downloading files. The use of React UI is set in the Docker Compose file
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## Deploy CodeGen 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/CodeGen/docker_compose/amd/gpu/rocm
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```
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### Set environments
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In the file "GenAIExamples/CodeGen/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://${HOST_IP}:${CODEGEN_TGI_SERVICE_PORT}/generate \
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-X POST \
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-d '{"inputs":"Implement a high-level API for a TODO list application. The API takes as input an operation request and updates the TODO list in place. If the request is invalid, raise an exception.","parameters":{"max_new_tokens":256, "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://${HOST_IP}:${CODEGEN_LLM_SERVICE_PORT}/v1/chat/completions\
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-X POST \
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-d '{"query":"Implement a high-level API for a TODO list application. The API takes as input an operation request and updates the TODO list in place. If the request is invalid, raise an exception.","max_tokens":256,"top_k":10,"top_p":0.95,"typical_p":0.95,"temperature":0.01,"repetition_penalty":1.03,"stream":true}' \
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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://${HOST_IP}:${CODEGEN_BACKEND_SERVICE_PORT}/v1/codegen -H "Content-Type: application/json" -d '{
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"messages": "Implement a high-level API for a TODO list application. The API takes as input an operation request and updates the TODO list in place. If the request is invalid, raise an exception."
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}'
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```
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