Container size analysis: TensorFlow 2.8 base image vs Deep Learning

• deepcell-imaging

  3 7 9.4 Jupyter Notebook

  Notes / utilities / stuff for Deep Cell imaging project

FROM us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-gpu.2-8.py37 ADD https://api.github.com/repos/dchaley/deepcell-imaging/git/refs/heads/main version.json RUN git clone https://github.com/dchaley/deepcell-imaging.git WORKDIR "/deepcell-imaging" RUN pip install --user --upgrade --quiet -r requirements.txt ENTRYPOINT ["python", "benchmarking/deepcell-e2e/benchmark.py"]

• deepcell-tf

  2 393 5.6 Python

  Deep Learning Library for Single Cell Analysis

  

We figured we must be able to build a container from a slimmer TensorFlow base image. We knew the DeepCell team had done some work scaling DeepCell using Kubernetes on GKE. Their Dockerfile confirmed that; just use TF's image.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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