Dockerfile.s390x.test

FROM s390x/python
RUN wget https://repo.anaconda.com/miniconda/Miniconda3-py311_23.5.2-0-Linux-s390x.sh \
    && bash Miniconda3-py311_23.5.2-0-Linux-s390x.sh -b \
    && rm -f Miniconda3-py311_23.5.2-0-Linux-s390x.sh
RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | bash -s -- -y
RUN /root/miniconda3/bin/conda install pytorch cpuonly -c pytorch -y
WORKDIR /safetensors/
RUN /root/miniconda3/bin/pip install -U pip pytest
# RUN /root/miniconda3/bin/pip install -U huggingface_hub
# RUN /root/miniconda3/bin/python -c 'from huggingface_hub import hf_hub_download; filename = hf_hub_download("roberta-base", "model.safetensors")'
COPY . .
SHELL ["/bin/bash", "-c"]
WORKDIR /safetensors/bindings/python/
RUN source /root/.cargo/env && /root/miniconda3/bin/pip install -e .
RUN /root/miniconda3/bin/pytest -sv tests/test_pt_* tests/test_simple.py
# RUN /root/miniconda3/bin/python -c 'from huggingface_hub import hf_hub_download; filename = hf_hub_download("roberta-base", "model.safetensors"); from safetensors.torch import load_file; weights = load_file(filename); assert weights["roberta.embeddings.position_embeddings.weight"][0][0].abs().item() > 1e-10'
ENTRYPOINT /bin/bash