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alessandro trinca tornidor
[feat] prepare entire docker build with nvidia GPU on hf space cloning https://huggingface.co/spaces/aletrn/samgis
0914710
FROM registry.gitlab.com/aletrn/gis-lisa-base:1.2.2 | |
# Include global arg in this stage of the build | |
ARG LAMBDA_TASK_ROOT="/var/task" | |
ARG PYTHONPATH="${LAMBDA_TASK_ROOT}:${PYTHONPATH}:/usr/local/lib/python3/dist-packages" | |
ENV VIRTUAL_ENV=${LAMBDA_TASK_ROOT}/.venv \ | |
PATH="${LAMBDA_TASK_ROOT}/.venv/bin:$PATH" | |
ENV IS_AWS_LAMBDA="" | |
# Set working directory to function root directory | |
WORKDIR ${LAMBDA_TASK_ROOT} | |
ADD https://github.com/AkihiroSuda/clone3-workaround/releases/download/v1.0.0/clone3-workaround.x86_64 /clone3-workaround | |
RUN chmod 755 /clone3-workaround | |
SHELL ["/clone3-workaround","/bin/sh", "-c"] | |
COPY scripts ${LAMBDA_TASK_ROOT}/scripts | |
COPY samgis ${LAMBDA_TASK_ROOT}/samgis | |
COPY wrappers ${LAMBDA_TASK_ROOT}/wrappers | |
RUN ls -l /usr/bin/which | |
RUN /usr/bin/which python | |
RUN python -v | |
RUN echo "PYTHONPATH: ${PYTHONPATH}." | |
RUN echo "PATH: ${PATH}." | |
RUN echo "LAMBDA_TASK_ROOT: ${LAMBDA_TASK_ROOT}." | |
RUN ls -l ${LAMBDA_TASK_ROOT} | |
RUN ls -ld ${LAMBDA_TASK_ROOT} | |
RUN ls -l ${LAMBDA_TASK_ROOT}/machine_learning_models | |
RUN python -c "import sys; print(sys.path)" | |
RUN python -c "import cv2" | |
RUN python -c "import fastapi" | |
RUN python -c "import geopandas" | |
RUN python -c "import loguru" | |
RUN python -c "import onnxruntime" | |
RUN python -c "import rasterio" | |
RUN python -c "import uvicorn" | |
RUN df -h | |
RUN ls -l ${LAMBDA_TASK_ROOT}/samgis/ | |
RUN ls -l ${LAMBDA_TASK_ROOT}/wrappers/ | |
RUN ls -l ${LAMBDA_TASK_ROOT}/static/ | |
RUN ls -l ${LAMBDA_TASK_ROOT}/static/dist | |
RUN ls -l ${LAMBDA_TASK_ROOT}/static/node_modules | |
CMD ["uvicorn", "wrappers.fastapi_wrapper:app", "--host", "0.0.0.0", "--port", "7860"] | |