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precise-lite
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Use tensorflow 2.4.4 and GPU
continuous-integration/drone/push Build was killed Details

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Tyler 2022-12-07 00:32:14 -05:00
parent 90b40394e8
commit cf59c1ffcd
2 changed files with 32 additions and 5 deletions
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7
Dockerfile.gpu
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@ -1,12 +1,11 @@
FROM nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04 AS python-ubuntu FROM nvidia/cuda:11.2.0-cudnn8-runtime-ubuntu18.04 AS python-ubuntu
RUN apt-get update RUN apt-get update
RUN apt-get install -y build-essential curl python3 python3-pip python3-venv RUN apt-get install -y build-essential curl python3 python3-pip python3-venv
# Inorder to run pip3.6, run it the following way `python3.6 -m pip` # Inorder to run pip3.6, run it the following way `python3.6 -m pip`
# Update Python & Install wheel # Update Python & Install wheel
RUN python3 -m pip install pip --upgrade RUN python3 -m pip install pip --upgrade && ython3 -m pip install wheel
RUN python3 -m pip install wheel
FROM python-ubuntu FROM python-ubuntu
@ -15,7 +14,7 @@ RUN apt-get update && apt-get install -y \
pkg-config portaudio19-dev swig libpulse-ocaml-dev gfortran \ pkg-config portaudio19-dev swig libpulse-ocaml-dev gfortran \
libopenblas-dev libatlas-base-dev libopenblas-dev libatlas-base-dev
RUN mkdir /training && pip3 install precise-lite && pip3 install tensorflow-gpu==2.3.1 RUN mkdir /training && pip3 install precise-lite && pip3 install tensorflow==2.4.4 && pip3 install tensorflow-gpu==2.4.4
WORKDIR /training WORKDIR /training

28
entrypoint.sh
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@ -2,4 +2,32 @@
set -e set -e
function populate_env() {
if [[ -z "$MODEL_PATH" ] && [ ! -z "$1" ]]; then
export MODEL_PATH="$1"
fi
if [[ -z "$DATA_FOLDER" ] && [ ! -z "$2" ]]; then
export DATA_FOLDER="$2"
fi
}
populate_env
case "$1" in
train)
precise-lite-train $TRAIN_ARGS "$MODEL_PATH" "$DATA_FOLDER"
;;
"train-incremental")
precise-lite-train-incremental $TRAIN_ARGS "$MODEL_PATH" "$DATA_FOLDER"
;;
test)
precise-lite-test "$MODEL_PATH" "$DATA_FOLDER"
;;
convert)
precise-lite-convert "$MODEL_PATH"
;;
*)
exec $@ exec $@
;;
esac