PyTorch 1.9

Author: hephaex

python-pytorch/Dockerfile.1.9-py38-cuda11.1

@@ -0,0 +1,78 @@
+FROM lablup/common-base:py38-cuda11.1
+
+# Install PyTorch
+ENV PYTORCH_VERSION=1.9.0
+ENV TORCHVISION_VERSION=0.10.0
+ENV TORCHAUDIO_VERSION=0.9.0
+ENV TORCHTEXT_VERSION=0.10.0
+ENV TENSORBOARDX_VERSION=2.1
+
+RUN python3 -m pip uninstall -y torch && \
+    python3 -m pip install --no-cache-dir \
+        https://download.pytorch.org/whl/cu111/torch-${PYTORCH_VERSION}%2Bcu111-cp38-cp38-linux_x86_64.whl \
+        https://download.pytorch.org/whl/cu111/torchvision-${TORCHVISION_VERSION}%2Bcu111-cp38-cp38-linux_x86_64.whl \
+        https://download.pytorch.org/whl/torchaudio-${TORCHAUDIO_VERSION}-cp38-cp38-linux_x86_64.whl \
+	https://download.pytorch.org/whl/cu111/torchcsprng-0.2.1%2Bcu111-cp38-cp38-linux_x86_64.whl \
+	https://download.pytorch.org/whl/torchserve-0.4.0-py2.py3-none-any.whl \
+        https://download.pytorch.org/whl/torchtext-${TORCHTEXT_VERSION}-cp38-cp38-linux_x86_64.whl \
+	jsonargparse \
+	torchmetrics \
+	pyDeprecate \
+	fsspec[http]>=2021.05.0 \
+	PyYAML>=5.1 \
+	pretrainedmodels \
+	cnn-finetune \
+	pytorch-lightning && \
+    python3 -m pip install --no-cache-dir tensorboardX==${TENSORBOARDX_VERSION}
+
+# torch2trt PyTorch to TensorRT converter which utilizes the TensorRT Python API
+WORKDIR /tmp
+RUN git clone https://github.com/NVIDIA-AI-IOT/torch2trt /tmp/torch2trt && \
+    cd /tmp/torch2trt && \
+    python3 setup.py install --plugins && \
+    rm -fr /tmp/torch2trt  
+
+RUN python3 -m pip install --extra-index-url \
+       https://developer.download.nvidia.com/compute/redist nvidia-dali-cuda100 
+
+# Install Horovod, temporarily using CUDA stubs
+RUN ldconfig /usr/local/cuda/targets/x86_64-linux/lib/stubs && \
+    HOROVOD_GPU_ALLREDUCE=NCCL HOROVOD_GPU_BROADCAST=NCCL \
+    HOROVOD_WITHOUT_TENSORFLOW=1 HOROVOD_WITH_PYTORCH=1 HOROVOD_WITHOUT_MXNET=1 \
+    pip install --no-cache-dir horovod==0.22.1 && \
+    ldconfig
+
+RUN python3 -m pip install --no-cache-dir \
+    	mpi4py==3.0.3 \
+        mlflow==1.18.0 \
+	nni==2.3 \
+	tensorboard-plugin-wit \
+	scikit-nni==0.2.1
+
+RUN apt autoclean && \
+    rm -rf /var/lib/apt/lists/* && \	
+    rm -rf /root/.cache && \
+    rm -rf /tmp/*
+
+COPY ./service-defs /etc/backend.ai/service-defs
+COPY ./runner-scripts/bootstrap.sh runner-scripts/setup_multinode.py /opt/container/
+
+# Install ipython kernelspec
+Run python3 -m ipykernel install --display-name "PyTorch 1.9.0 on Python 3.8 (CUDA 11.1)" && \
+    cat /usr/local/share/jupyter/kernels/python3/kernel.json
+
+# Backend.AI specifics
+LABEL ai.backend.kernelspec="1" \
+      ai.backend.envs.corecount="OPENBLAS_NUM_THREADS,OMP_NUM_THREADS,NPROC" \
+      ai.backend.features="batch query uid-match user-input" \
+      ai.backend.base-distro="ubuntu16.04" \
+      ai.backend.resource.min.cpu="1" \
+      ai.backend.resource.min.mem="1g" \
+      ai.backend.resource.min.cuda.device=0 \
+      ai.backend.resource.min.cuda.shares=0 \
+      ai.backend.runtime-type="python" \
+      ai.backend.runtime-path="/usr/bin/python3" \
+      ai.backend.service-ports="ipython:pty:3000,jupyter:http:8081,jupyterlab:http:8090,vscode:http:8180,tensorboard:http:6006,mlflow-ui:preopen:5000,nniboard:preopen:8080"
+
+WORKDIR /home/work
+# vim: ft=dockerfile