Runpod•8mo ago

No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda

Hey everyone 👋 I'm trying to use Runpod serverless to run the https://github.com/nerfstudio-project/gsplat/ gaussian-splatting implementation. However, when building the project from source (pip install . of my Dockerfile below), I get the error: No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda Is the CUDA runtime available during the build stage of a docker image on runpod serverless workers? Thanks in advance! Dockerfile:

FROM runpod/pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04

WORKDIR /

# Python dependencies
COPY builder/requirements.txt /requirements.txt
RUN python -m pip install --upgrade pip && \
    python -m pip install --upgrade -r /requirements.txt --no-cache-dir && \
    rm /requirements.txt


# Install gsplat deps
RUN apt update && apt install libglm-dev g++-9 gcc-9 -y
RUN python -m pip install ninja numpy jaxtyping rich

# Install gsplat
RUN git clone https://github.com/nerfstudio-project/gsplat.git && \
    cd gsplat && \
    python -m pip install . && \
    cd examples && \
    python -m pip install -r requirements.txt

FROM runpod/pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04

WORKDIR /

# Python dependencies
COPY builder/requirements.txt /requirements.txt
RUN python -m pip install --upgrade pip && \
    python -m pip install --upgrade -r /requirements.txt --no-cache-dir && \
    rm /requirements.txt


# Install gsplat deps
RUN apt update && apt install libglm-dev g++-9 gcc-9 -y
RUN python -m pip install ninja numpy jaxtyping rich

# Install gsplat
RUN git clone https://github.com/nerfstudio-project/gsplat.git && \
    cd gsplat && \
    python -m pip install . && \
    cd examples && \
    python -m pip install -r requirements.txt

GitHub

GitHub - nerfstudio-project/gsplat: CUDA accelerated rasterization ...

CUDA accelerated rasterization of gaussian splatting - nerfstudio-project/gsplat

9 Replies

Unknown User•8mo ago

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canxerianOP•8mo ago

It supports CUDA 11.8. I've ran the same installation process on a pod using the runpod/pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04 template and it works

Unknown User•8mo ago

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Poddy•8mo ago

@canxerian

Escalated To Zendesk

The thread has been escalated to Zendesk!

canxerianOP•8mo ago

Thanks @nerdylive! Endpoint ID is pr3gt0gti2ylyo

gao•6mo ago

I have the same question, how did you do it, and what is the use of submitting a work order to upgrade

Unknown User•6mo ago

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gao•6mo ago

this

Unknown User•6mo ago

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Gaming

Programming

No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda

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