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hls4ml 0.8.0 (#65)
* Update deploy.yml * Update environment.yml * Update Dockerfile * Update Dockerfile.vivado * Update Dockerfile * Update environment.yml
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.github/workflows/deploy.yml

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@@ -20,6 +20,9 @@ jobs:
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- name: Setup Miniconda
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uses: conda-incubator/setup-miniconda@v2
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with:
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miniforge-version: latest
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use-mamba: true
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channels: conda-forge
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activate-environment: hls4ml-tutorial
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environment-file: environment.yml
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python-version: 3.10.10

docker/Dockerfile

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FROM jupyter/tensorflow-notebook:tensorflow-2.11.1
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# Install curl
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USER root
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RUN apt-get update -y && \
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apt-get install --no-install-recommends -y \
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curl \
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libtinfo5 && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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# Install hls4ml and dependencies
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USER ${NB_USER}
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RUN mamba install -y -c conda-forge \
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graphviz==7.1.0 \
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pydot==1.4.2 \
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tensorflow-datasets==4.8.3 \
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jupyter-book==0.15.1 \
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jupyter_contrib_nbextensions==0.5.1
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jupyter_contrib_nbextensions==0.7.0
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RUN pip install \
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hls4ml[profiling]==0.7.1 \
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hls4ml[profiling]==0.8.0 \
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qkeras==0.9.0 \
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conifer==0.2b0
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RUN mamba clean --all -f -y && \

docker/Dockerfile.vivado

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@@ -21,9 +21,9 @@ RUN mamba install -y -c conda-forge \
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pydot==1.4.2 \
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tensorflow-datasets==4.8.3 \
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jupyter-book==0.15.1 \
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jupyter_contrib_nbextensions==0.5.1
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jupyter_contrib_nbextensions==0.7.0
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RUN pip install \
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hls4ml[profiling]==0.7.1 \
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hls4ml[profiling]==0.8.0 \
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qkeras==0.9.0 \
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conifer==0.2b0
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RUN mamba clean --all -f -y && \

environment.yml

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- conda-forge
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dependencies:
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- python=3.10.10
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- jupyter_contrib_nbextensions==0.5.1
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- jupyter_contrib_nbextensions==0.7.0
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- jupyterhub==3.1.1
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- jupyter-book==0.15.1
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- jsonschema-with-format-nongpl
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- widgetsnbextension==3.6.0
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- pip==23.0.1
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- pip:
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- hls4ml[profiling]==0.7.1
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- hls4ml[profiling]==0.8.0
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- qkeras==0.9.0
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- conifer==0.2b0

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