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112 lines
4.3 KiB
112 lines
4.3 KiB
# # Dockerfile for Python whisk docker action
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# FROM openwhisk/dockerskeleton
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# ENV FLASK_PROXY_PORT 8080
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# ## Install our action's Python dependencies
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# ADD requirements.txt /action/requirements.txt
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# RUN apk --update add python py-pip openssl ca-certificates py-openssl wget git
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# RUN apk --update add --virtual build-dependencies libffi-dev openssl-dev python-dev py-pip build-base && apk add jpeg-dev zlib-dev libjpeg && pip install --upgrade pip
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# RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
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# ENV PATH="/root/.cargo/bin:${PATH}"
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# # RUN pip install tokenizers
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# # RUN apk --update add world build-essential
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# RUN cd /action; pip install -r requirements.txt
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# # RUN pip install torch===1.4.0 torchvision===0.5.0 -f https://download.pytorch.org/whl/torch_stable.html
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# # RUN pip install torch===1.4.0 -f https://download.pytorch.org/whl/torch_stable.html
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# ENV USE_OPENMP=0
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# ENV OMP_NUM_THREADS=1
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# RUN apk --update add gcompat libc6-compat musl musl-dev
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# RUN apk add --no-cache libgcc ncurses-libs libstdc++
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# # ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib/python3.6/site-packages/torch/lib/:/usr/local/lib/python3.6/site-packages/torch/lib//
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# RUN pip install torch==1.10.2+cpu -f https://download.pytorch.org/whl/torch_stable.html
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# # ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/ld-linux-x86-64.so.2:/usr/local/lib/python3.6/site-packages/torch/lib/
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# # ENV LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libgomp.so.1://usr/local/lib/python3.6/site-packages/torch/lib//libgomp-a34b3233.so.1
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# # ENV LD_LIBRARY_PATH=/usr/local/lib/python3.6/site-packages/torch/lib/:/usr/local/lib/python3.6/site-packages/torch/lib//libgomp-a34b3233.so.1
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# # ENV LD_LIBRARY_PATH=/usr/local/lib/python3.6/site-packages/torch/lib:$LD_LIBRARY_PATH
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# # RUN pip install torch===2.0.0 torchvision===0.15.1
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# # Ensure source assets are not drawn from the cache after this date
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# ENV REFRESHED_AT 2016-09-05T13:59:39Z
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# # Add all source assets
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# ADD . /action
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# # Rename our executable Python action
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# ADD img_text.py /action/exec
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# # Leave CMD as is for Openwhisk
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# CMD ["/bin/bash", "-c", "cd actionProxy && python3 -u actionproxy.py"]
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FROM ibmfunctions/action-python-v3.9
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#download pip packages
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RUN pip install --upgrade pip
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RUN pip install transformers requests redis pilgram Pillow==6.2.2 zlib-state torch
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ADD img_text.py /action/exec
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# RUN python3 -c "from huggingface_hub import snapshot_download,hf_hub_download;REPO_ID = 'Salesforce/blip-image-captioning-base';snapshot_download(repo_id='Salesforce/blip-image-captioning-base',local_dir='/action/models/transformers')"
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ADD models /action/models
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CMD ["/bin/bash", "-c", "cd actionProxy && python3 -u actionproxy.py"]
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#download pre-trained model from hugging face to docker image
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# RUN pip install sentence_transformers
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# RUN python3 -c "from transformers import BlipProcessor, BlipForConditionalGeneration;model = BlipForConditionalGeneration.from_pretrained('Salesforce/blip-image-captioning-base');model.save('models')"
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# COPY models .
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# ADD img_text.py .
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# CMD ["python3","img_text.py"]
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# RUN ls /action/1/bin/models/transformers
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# CMD ['echo','/action/1/bin/models/transformers']
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# CMD ['cat','/action/1/bin/models/transformers/exec']
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# CMD ['ls','/action/1/bin/models/transformers']
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# FROM python:3.9-slim-buster
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# RUN apt-get update
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# #download pip packages
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# RUN pip install --upgrade pip
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# RUN pip install transformers
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# RUN pip install requests
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# RUN pip install redis
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# RUN pip install pilgram
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# # RUN apt-get install jpeg-dev zlib-dev
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# RUN pip install Pillow
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# RUN pip install zlib-state
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# RUN pip install torch
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# RUN python3 -c "from huggingface_hub import snapshot_download,hf_hub_download;REPO_ID = 'Salesforce/blip-image-captioning-base';snapshot_download(repo_id='Salesforce/blip-image-captioning-base',local_dir='/models/transformers')"
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# RUN ls /
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# FROM openwhisk/python3action
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# RUN apk update
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# # RUN apk add build-dependencies libffi-dev openssl-dev python-dev py-pip build-base
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# RUN pip3 install --upgrade pip
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# RUN pip3 install transformers redis requests boto3 Pillow torch pilgram
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# RUN python3 -c "from huggingface_hub import snapshot_download,hf_hub_download;REPO_ID = 'Salesforce/blip-image-captioning-base';snapshot_download(repo_id='Salesforce/blip-image-captioning-base',local_dir='/models/transformers')"
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# RUN ls /
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