Dockerfile.benchmark

FROM pytorch/pytorch:2.2.1-cuda12.1-cudnn8-runtime

# This allow us to setup the benchmark parameters from env vars
ENV BACKENDS='eager,inductor'
ENV OPTS=''

# Setup make and gcc
RUN DEBIAN_FRONTEND=noninteractive apt update && \
    DEBIAN_FRONTEND=noninteractive apt install make g++ -y

# Setup Kornia dev mode
WORKDIR /tmp/kornia-lib/
COPY kornia/ kornia/
COPY pyproject.toml ./
COPY requirements/ requirements/

RUN pip install -r requirements/requirements-benchmarks.txt --no-cache-dir
RUN pip install .[dev,x] --no-cache-dir

# Setup benchmarks
WORKDIR /kornia-benchmarks/
COPY benchmarks/ benchmarks/
COPY Makefile ./
COPY conftest.py ./

# Cleanup
RUN rm -rf /tmp/kornia-lib/
RUN DEBIAN_FRONTEND=noninteractive apt autopurge -y
RUN DEBIAN_FRONTEND=noninteractive apt autoclean -y
RUN DEBIAN_FRONTEND=noninteractive apt autoremove -y
RUN rm -rf /var/lib/apt/lists/*

# CMD
CMD ["make", "benchmark", "BENCHMARK_BACKENDS=$(BACKENDS)", "BENCHMARK_OPTS=$(OPTS)"]