docker/install/conda_env/tensorflow_gpu.yml

name: tensorflow-ci
dependencies:
  - python=3.7.0
  - pip
  - pip:
    - tensorflow==2.3.0
    - pytest
    - nose
    - numpy
    - cython==0.29
    - scipy
    - networkx
    - matplotlib
    - nltk
    - requests[security]
    - tqdm
    - psutil
    - pyyaml
    - pydantic
    - pandas
    - rdflib
    - ogb
[CI] Change tests for flexibility 2019-12-16 14:54:37 +08:00			`name: tensorflow-ci`
			`dependencies:`
[CI] upgrade python version to 3.7.0 (#4406 ) 2022-08-17 15:28:34 +08:00			`- python=3.7.0`
[CI] Change tests for flexibility 2019-12-16 14:54:37 +08:00			`- pip`
			`- pip:`
[CI] Upgrade software version of CI docker image (#4189 ) 2022-06-29 13:34:13 +08:00			`- tensorflow==2.3.0`
[Backend] TF backend (#978 ) 2019-12-20 15:56:51 +08:00			`- pytest`
[TF] TF backend fix and new logic to choose backend (#1393 ) 2020-03-30 18:45:17 +08:00			`- nose`
			`- numpy`
[GraphBolt] upgrade CUDA to 17 and update CI gpu image to torch2.0+cu118 (#6505 ) 2023-10-30 13:15:29 +08:00			`- cython==0.29`
[TF] TF backend fix and new logic to choose backend (#1393 ) 2020-03-30 18:45:17 +08:00			`- scipy`
			`- networkx`
			`- matplotlib`
			`- nltk`
			`- requests[security]`
			`- tqdm`
[CI] pre-install required py packages in image for unit/tutorial test (#5276 ) 2023-02-10 19:11:30 +08:00			`- psutil`
			`- pyyaml`
			`- pydantic`
			`- pandas`
			`- rdflib`
			`- ogb`