# Build and deploy CodeTrans Application on AMD GPU (ROCm) ## Build images ### Build the LLM Docker Image ```bash ### Cloning repo git clone https://github.com/opea-project/GenAIComps.git cd GenAIComps ### Build Docker image docker build -t opea/llm-tgi:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/llms/text-generation/tgi/Dockerfile . ``` ### Build the MegaService Docker Image ```bash ### Cloning repo git clone https://github.com/opea-project/GenAIExamples cd GenAIExamples/CodeTrans ### Build Docker image docker build -t opea/codetrans:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile . ``` ### Build the UI Docker Image ```bash cd GenAIExamples/CodeTrans/ui ### Build UI Docker image docker build -t opea/codetrans-ui:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f ./docker/Dockerfile . ``` ## Deploy CodeTrans Application ### Features of Docker compose for AMD GPUs 1. Added forwarding of GPU devices to the container TGI service with instructions: ```yaml shm_size: 1g devices: - /dev/kfd:/dev/kfd - /dev/dri/:/dev/dri/ cap_add: - SYS_PTRACE group_add: - video security_opt: - seccomp:unconfined ``` In this case, all GPUs are thrown. To reset a specific GPU, you need to use specific device names cardN and renderN. For example: ```yaml shm_size: 1g devices: - /dev/kfd:/dev/kfd - /dev/dri/card0:/dev/dri/card0 - /dev/dri/render128:/dev/dri/render128 cap_add: - SYS_PTRACE group_add: - video security_opt: - seccomp:unconfined ``` To find out which GPU device IDs cardN and renderN correspond to the same GPU, use the GPU driver utility ### Go to the directory with the Docker compose file ```bash cd GenAIExamples/CodeTrans/docker_compose/amd/gpu/rocm ``` ### Set environments In the file "GenAIExamples/CodeTrans/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 ```bash chmod +x set_env.sh . set_env.sh ``` ### Run services ``` docker compose up -d ``` # Validate the MicroServices and MegaService ## Validate TGI service ```bash curl http://${HOST_IP}:${CODETRANS_TGI_SERVICE_PORT}/generate \ -X POST \ -d '{"inputs":" ### System: Please translate the following Golang codes into Python codes. ### Original codes: '\'''\'''\''Golang \npackage main\n\nimport \"fmt\"\nfunc main() {\n fmt.Println(\"Hello, World!\");\n '\'''\'''\'' ### Translated codes:","parameters":{"max_new_tokens":17, "do_sample": true}}' \ -H 'Content-Type: application/json' ``` ## Validate LLM service ```bash curl http://${HOST_IP}:${CODETRANS_LLM_SERVICE_PORT}/v1/chat/completions \ -X POST \ -d '{"query":" ### System: Please translate the following Golang codes into Python codes. ### Original codes: '\'''\'''\''Golang \npackage main\n\nimport \"fmt\"\nfunc main() {\n fmt.Println(\"Hello, World!\");\n '\'''\'''\'' ### Translated codes:"}' \ -H 'Content-Type: application/json' ``` ## Validate MegaService ```bash curl http://${HOST_IP}:${CODEGEN_BACKEND_SERVICE_PORT}/v1/codetrans \ -H "Content-Type: application/json" \ -d '{"language_from": "Golang","language_to": "Python","source_code": "package main\n\nimport \"fmt\"\nfunc main() {\n fmt.Println(\"Hello, World!\");\n}"}' ```