Use official pytorch base image

images/pytorch-benchmarks/Dockerfile

@@ -1,12 +1,13 @@
-FROM nvcr.io/nvidia/pytorch:22.12-py3
+FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime
 
-# RUN pip install -U pip
-# RUN pip install torchvision torchaudio
-RUN pip uninstall torch -y && pip install --no-cache torch torchvision torchaudio
+RUN apt update && apt install -y git
+# TODO: Checkout certain commit here
+RUN git clone https://github.com/pytorch/benchmark
+WORKDIR /workspace/benchmark
+# Add other benchmarks here?
+RUN python install.py alexnet resnet50 llama
 
-# RUN git clone https://github.com/pytorch/benchmark
-# WORKDIR /workspace/benchmark
-# # Add other benchmarks here?
-# RUN python install.py alexnet resnet50 llama
+# PyTorch install.py pins numpy=1.21.2 but this breaks numba so update both here
+RUN pip install -U numpy numba
 
-# COPY run-benchmark.sh /usr/local/bin/
+COPY run-benchmark.sh /usr/local/bin/