Adding files to deploy CodeGen application on AMD GPU (#1130)

Signed-off-by: Chingis Yundunov <YundunovCN@sibedge.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

CodeGen/docker_compose/amd/gpu/rocm/README.md

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+# Build and deploy CodeGen 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/CodeGen
+
+### Build Docker image
+docker build -t opea/codegen:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
+```
+
+### Build the UI Docker Image
+
+```bash
+cd GenAIExamples/CodeGen/ui
+### Build UI Docker image
+docker build -t opea/codegen-ui:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f ./docker/Dockerfile .
+
+### Build React UI Docker image (React UI allows you to use file uploads)
+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 .
+```
+
+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
+
+## Deploy CodeGen 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/CodeGen/docker_compose/amd/gpu/rocm
+```
+
+### Set environments
+
+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
+
+```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://${HOST_IP}:${CODEGEN_TGI_SERVICE_PORT}/generate \
+  -X POST \
+  -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}}' \
+  -H 'Content-Type: application/json'
+```
+
+## Validate LLM service
+
+```bash
+curl http://${HOST_IP}:${CODEGEN_LLM_SERVICE_PORT}/v1/chat/completions\
+  -X POST \
+  -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,"streaming":true}' \
+  -H 'Content-Type: application/json'
+```
+
+## Validate MegaService
+
+```bash
+curl http://${HOST_IP}:${CODEGEN_BACKEND_SERVICE_PORT}/v1/codegen -H "Content-Type: application/json" -d '{
+  "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."
+  }'
+```

CodeGen/docker_compose/amd/gpu/rocm/compose.yaml

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+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+services:
+  codegen-tgi-service:
+    image: ghcr.io/huggingface/text-generation-inference:2.3.1-rocm
+    container_name: codegen-tgi-service
+    ports:
+      - "${CODEGEN_TGI_SERVICE_PORT:-8028}:80"
+    volumes:
+      - "/var/lib/GenAI/data:/data"
+    environment:
+      no_proxy: ${no_proxy}
+      http_proxy: ${http_proxy}
+      https_proxy: ${https_proxy}
+      HUGGING_FACE_HUB_TOKEN: ${CODEGEN_HUGGINGFACEHUB_API_TOKEN}
+      HUGGINGFACEHUB_API_TOKEN: ${CODEGEN_HUGGINGFACEHUB_API_TOKEN}
+    shm_size: 1g
+    devices:
+      - /dev/kfd:/dev/kfd
+      - /dev/dri/:/dev/dri/
+    cap_add:
+      - SYS_PTRACE
+    group_add:
+      - video
+    security_opt:
+      - seccomp:unconfined
+    ipc: host
+    command: --model-id ${CODEGEN_LLM_MODEL_ID} --max-input-length 1024 --max-total-tokens 2048
+  codegen-llm-server:
+    image: ${REGISTRY:-opea}/llm-tgi:${TAG:-latest}
+    container_name: codegen-llm-server
+    depends_on:
+      - codegen-tgi-service
+    ports:
+      - "${CODEGEN_LLM_SERVICE_PORT:-9000}:9000"
+    ipc: host
+    environment:
+      no_proxy: ${no_proxy}
+      http_proxy: ${http_proxy}
+      https_proxy: ${https_proxy}
+      TGI_LLM_ENDPOINT: "http://codegen-tgi-service"
+      HUGGINGFACEHUB_API_TOKEN: ${CODEGEN_HUGGINGFACEHUB_API_TOKEN}
+    restart: unless-stopped
+  codegen-backend-server:
+    image: ${REGISTRY:-opea}/codegen:${TAG:-latest}
+    container_name: codegen-backend-server
+    depends_on:
+      - codegen-llm-server
+    ports:
+      - "${CODEGEN_BACKEND_SERVICE_PORT:-7778}:7778"
+    environment:
+      no_proxy: ${no_proxy}
+      https_proxy: ${https_proxy}
+      http_proxy: ${http_proxy}
+      MEGA_SERVICE_HOST_IP: ${CODEGEN_MEGA_SERVICE_HOST_IP}
+      LLM_SERVICE_HOST_IP: "codegen-llm-server"
+    ipc: host
+    restart: always
+  codegen-ui-server:
+    image: ${REGISTRY:-opea}/codegen-ui:${TAG:-latest}
+    container_name: codegen-ui-server
+    depends_on:
+      - codegen-backend-server
+    ports:
+      - "${CODEGEN_UI_SERVICE_PORT:-5173}:5173"
+    environment:
+      no_proxy: ${no_proxy}
+      https_proxy: ${https_proxy}
+      http_proxy: ${http_proxy}
+      BASIC_URL: ${CODEGEN_BACKEND_SERVICE_URL}
+      BACKEND_SERVICE_ENDPOINT: ${CODEGEN_BACKEND_SERVICE_URL}
+    ipc: host
+    restart: always
+
+networks:
+  default:
+    driver: bridge

CodeGen/docker_compose/amd/gpu/rocm/set_env.sh

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+#!/usr/bin/env bash
+
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+### The IP address or domain name of the server on which the application is running
+export HOST_IP=direct-supercomputer1.powerml.co
+
+### The port of the TGI service. On this port, the TGI service will accept connections
+export CODEGEN_TGI_SERVICE_PORT=8028
+
+### A token for accessing repositories with models
+export CODEGEN_HUGGINGFACEHUB_API_TOKEN=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
+
+### Model ID
+export CODEGEN_LLM_MODEL_ID="Qwen/Qwen2.5-Coder-7B-Instruct"
+
+### The port of the LLM service. On this port, the LLM service will accept connections
+export CODEGEN_LLM_SERVICE_PORT=9000
+
+### The endpoint of the TGI service to which requests to this service will be sent (formed from previously set variables)
+export CODEGEN_TGI_LLM_ENDPOINT="http://${HOST_IP}:${CODEGEN_TGI_SERVICE_PORT}"
+
+### The IP address or domain name of the server for CodeGen MegaService
+export CODEGEN_MEGA_SERVICE_HOST_IP=${HOST_IP}
+
+### The port for CodeGen backend service
+export CODEGEN_BACKEND_SERVICE_PORT=18150
+
+### The URL of CodeGen backend service, used by the frontend service
+export CODEGEN_BACKEND_SERVICE_URL="http://${HOST_IP}:${CODEGEN_BACKEND_SERVICE_PORT}/v1/codegen"
+
+### The endpoint of the LLM service to which requests to this service will be sent
+export CODEGEN_LLM_SERVICE_HOST_IP=${HOST_IP}
+
+### The CodeGen service UI port
+export CODEGEN_UI_SERVICE_PORT=18151