`cog run exec` returns "No such file or directory"

[josephpconley]

I've spun up a gpu_1x_a10 instance on LambdaLabs and followed the instructions in the README (note: espeak package was not found). When trying to run sudo cog run --debug exec I get the following

sudo cog run --debug exec
⚠ Cog doesn't know if CUDA 11.7 is compatible with PyTorch 2.0.0. This might cause CUDA problems.
Setting CuDNN to version 11.7
Building Docker image from environment in cog.yaml...
$ docker build --file - --build-arg BUILDKIT_INLINE_CACHE=1 --tag cog-cog-llama-base --progress auto .
[+] Building 0.7s (22/22) FINISHED                                                                                     
 => [internal] load build definition from Dockerfile                                                              0.0s
 => => transferring dockerfile: 2.25kB                                                                            0.0s
 => [internal] load .dockerignore                                                                                 0.0s
 => => transferring context: 117B                                                                                 0.0s
 => resolve image config for docker.io/docker/dockerfile:1.2                                                      0.3s
 => CACHED docker-image://docker.io/docker/dockerfile:1.2@sha256:e2a8561e419ab1ba6b2fe6cbdf49fd92b95912df1cf7d31  0.0s
 => [internal] load build definition from Dockerfile                                                              0.0s
 => [internal] load .dockerignore                                                                                 0.0s
 => [internal] load metadata for docker.io/nvidia/cuda:11.7.0-cudnn8-devel-ubuntu22.04                            0.3s
 => [stage-0  1/12] FROM docker.io/nvidia/cuda:11.7.0-cudnn8-devel-ubuntu22.04@sha256:de480887e91e99fffd701a96cf  0.0s
 => [internal] load build context                                                                                 0.0s
 => => transferring context: 42.02kB                                                                              0.0s
 => CACHED [stage-0  2/12] RUN --mount=type=cache,target=/var/cache/apt set -eux; apt-get update -qq; apt-get in  0.0s
 => CACHED [stage-0  3/12] RUN --mount=type=cache,target=/var/cache/apt apt-get update -qq && apt-get install -q  0.0s
 => CACHED [stage-0  4/12] RUN curl -s -S -L https://raw.githubusercontent.com/pyenv/pyenv-installer/master/bin/  0.0s
 => CACHED [stage-0  5/12] COPY .cog/tmp/build1125054233/cog-0.0.1.dev-py3-none-any.whl /tmp/cog-0.0.1.dev-py3-n  0.0s
 => CACHED [stage-0  6/12] RUN --mount=type=cache,target=/root/.cache/pip pip install /tmp/cog-0.0.1.dev-py3-non  0.0s
 => CACHED [stage-0  7/12] COPY .cog/tmp/build1125054233/requirements.txt /tmp/requirements.txt                   0.0s
 => CACHED [stage-0  8/12] RUN --mount=type=cache,target=/root/.cache/pip pip install -r /tmp/requirements.txt    0.0s
 => CACHED [stage-0  9/12] RUN pip install git+https://github.com/huggingface/transformers.git@786092a35e18154ca  0.0s
 => CACHED [stage-0 10/12] RUN mkdir /gc && cd /gc && curl -O https://dl.google.com/dl/cloudsdk/channels/rapid/d  0.0s
 => CACHED [stage-0 11/12] RUN pip install google-cloud-storage                                                   0.0s
 => CACHED [stage-0 12/12] WORKDIR /src                                                                           0.0s
 => preparing layers for inline cache                                                                             0.0s
 => exporting to image                                                                                            0.0s
 => => exporting layers                                                                                           0.0s
 => => writing image sha256:b64feac476a508869e0829238cf9baba9275e5f253ce0a4281c6e20d87ff5018                      0.0s
 => => naming to docker.io/library/cog-cog-llama-base                                                             0.0s

Running 'exec' in Docker with the current directory mounted as a volume...
$ docker run --rm --shm-size 8G --gpus all --interactive --tty --mount type=bind,source=/home/ubuntu/cog-llama,destination=/src --workdir /src cog-cog-llama-base exec
[FATAL tini (7)] exec exec failed: No such file or directory
ⅹ exit status 127

[joehoover]

Thanks for opening this @josephpconley! That command should be:

`cog run bash`

Also, I'm in the process of updating the README for this repo. With regarding to configuring your environment, this repo should provide a quicker setup. E.g., this cog.yaml will install the dependencies you need.