update docker files

1. add docker-npu (Dockerfile and docker-compose.yml)
  2. move cuda docker to docker-cuda and tiny changes to adapt to the new path


Former-commit-id: 5431c1f18aadb072208efe7fd8e36fdcfbf807c2

docker/docker-npu/Dockerfile

@@ -0,0 +1,40 @@
+# Using ubuntu 22.04 images with cann 8.0.rc1
+# More options can be found at https://hub.docker.com/r/cosdt/cann/tags
+FROM cosdt/cann:8.0.rc1-910b-ubuntu22.04
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+# Define installation arguments
+ARG INSTALL_DEEPSPEED=false
+ARG PIP_INDEX=https://pypi.org/simple
+
+# Set the working directory
+WORKDIR /app/LLaMA-Factory
+
+RUN cd /app && \
+    git config --global http.version HTTP/1.1 && \
+    git clone https://github.com/hiyouga/LLaMA-Factory.git && \
+    cd /app/LLaMA-Factory
+
+RUN pip config set global.index-url $PIP_INDEX
+RUN python3 -m pip install --upgrade pip
+
+# Install the LLaMA Factory
+RUN EXTRA_PACKAGES="torch-npu,metrics"; \
+    if [ "$INSTALL_DEEPSPEED" = "true" ]; then \
+        EXTRA_PACKAGES="${EXTRA_PACKAGES},deepspeed"; \
+    fi; \
+    pip install -e .[$EXTRA_PACKAGES] && \
+    pip uninstall -y transformer-engine flash-attn
+
+# Set up volumes
+VOLUME [ "/root/.cache/huggingface/", "/app/data", "/app/output" ]
+
+# Expose port 7860 for the LLaMA Board
+EXPOSE 7860
+
+# Expose port 8000 for the API service
+EXPOSE 8000
+
+# Launch LLaMA Board
+CMD [ "llamafactory-cli", "webui" ]