dockerfiles
dockerfiles copied to clipboard
floydhub
Deep Learning Dockerfiles
Hello,I found a performance issue in the definition of `dataset` , dockerfiles/blob/master/dl/tensorflow/tests/1.13/dataset.py, [.map(decode_image)](https://github.com/floydhub/dockerfiles/blob/dc896f04f97912e6fd0c5f568457591dfad572e8/dl/tensorflow/tests/1.13/dataset.py#L103) was called without **num_parallel_calls**. I think it will increase the efficiency of your program if you add...
Bumps [py](https://github.com/pytest-dev/py) from 1.7.0 to 1.10.0. Changelog Sourced from py's changelog. 1.10.0 (2020-12-12) Fix a regular expression DoS vulnerability in the py.path.svnwc SVN blame functionality (CVE-2020-29651) Update vendored apipkg: 1.4...
![dependabot[bot] avatar](https://avatars.githubusercontent.com/in/29110?v=4 "dependabot[bot] avatar"){kind=avatar}
Bumps [pyyaml](https://github.com/yaml/pyyaml) from 3.13 to 5.4. Changelog Sourced from pyyaml's changelog. 5.4 (2021-01-19) yaml/pyyaml#407 -- Build modernization, remove distutils, fix metadata, build wheels, CI to GHA yaml/pyyaml#472 -- Fix for...
Bumps [jinja2](https://github.com/pallets/jinja) from 2.10 to 2.11.3. Release notes Sourced from jinja2's releases. 2.11.3 This contains a fix for a speed issue with the urlize filter. urlize is likely to be...
- [X] Remove unused files - [X] Fix TF test header - [X] Add Plotly JupyterLab extension - [ ] Improve README with Repo Structure
[RAPIDS](https://rapids.ai/start.html) has recently dropped pipy installation, they are now providing `conda` packages. This requires a bit of work and it can be done in 3 different ways: 1. Install RAPIDS...
[The python 3 GPU docker file](https://github.com/floydhub/dockerfiles/blob/master/dl/tensorflow/1.2.0/Dockerfile-py3.gpu_aws) specifies `ENV TF_CUDA_COMPUTE_CAPABILITIES=3.7`, which is the compute capability for the K80s. AWS also has g3's M80 cards, which have compute capabilities `5.2`. Could that...
nvidia docker version 2 eg (docker run --runtime=nvidia ...) had not worked with opengl until a few days ago. So for example, we cannot run the open ai gym environments...
openAI gym is working in the pytorch image, but to actually run the atari environments, it fails due to lack of x11. What's the best way to get it to...