Unable to recreate working python environment to run this codebase using requirements.txt

[rutujagurav]

Hello Authors,

For some reason I am unable to create a working python environment using the provided requirements.txt. Could you please test the environment requirements you provide?

For me the error me the main issue seems to be with a dependency of tensorflow_gan==2.0.0 called tensorflow_probability which defaults to 0.19.0 and seems to be incompatible with tensorflow==2.4.0. But even after downgrading tensorflow_probability, I don't get a stable environment that's able to run main.py.

Any insights would be appreciated.

[zqOuO]

Hello Authors,

For some reason I am unable to create a working python environment using the provided requirements.txt. Could you please test the environment requirements you provide?

For me the error me the main issue seems to be with a dependency of tensorflow_gan==2.0.0 called tensorflow_probability which defaults to 0.19.0 and seems to be incompatible with tensorflow==2.4.0. But even after downgrading tensorflow_probability, I don't get a stable environment that's able to run main.py.

Any insights would be appreciated.

Hello rutujagurav, I meet the same issue as yours. I can't built the environment for the ipynb file and tried for some days. Could you tell me how to do if you resolve it? Thank you so much.

[mengchuangji]

tensorflow 2.4.0 requires numpy~=1.19.2, but you have numpy 1.24.4 which is incompatible. Successfully installed jax-0.2.8 jaxlib-0.4.13 numpy-1.24.4

[mengchuangji]

tensorflow 2.4.0 requires numpy~=1.19.2, but you have numpy 1.24.4 which is incompatible. Successfully installed jax-0.2.8 jaxlib-0.4.13 numpy-1.24.4

The conflict is caused by: tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.13 depends on numpy>=1.21 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.12 depends on numpy>=1.21 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.11 depends on numpy>=1.21 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.10 depends on numpy>=1.21 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.9 depends on numpy>=1.21 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.7 depends on numpy>=1.21 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.6 depends on numpy>=1.20 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.4 depends on numpy>=1.20 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.3 depends on numpy>=1.20 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.2 depends on numpy>=1.20 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.1 depends on numpy>=1.20

[dinuowei]

i use this requierments
ml-collections==0.1.0 tensorflow-gan==2.0.0 tensorflow_io tensorflow_datasets==3.1.0 tensorflow==2.4.0 tensorflow-addons==0.12.0 tensorboard==2.4.0 tensorflow-estimator==2.4.0 tensorflow-probability==0.12.2 absl-py==0.10.0 torch==1.8.0 torchvision ninja numpy==1.19.5 and cuda 11.1 but still show only support vs17-19 , for me my vs is 2022, so it is hard to test. if you can pls test it

[dinuowei]

tensorflow 2.4.0 requires numpy~=1.19.2, but you have numpy 1.24.4 which is incompatible. Successfully installed jax-0.2.8 jaxlib-0.4.13 numpy-1.24.4

The conflict is caused by: tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.13 depends on numpy>=1.21 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.12 depends on numpy>=1.21 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.11 depends on numpy>=1.21 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.10 depends on numpy>=1.21 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.9 depends on numpy>=1.21 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.7 depends on numpy>=1.21 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.6 depends on numpy>=1.20 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.4 depends on numpy>=1.20 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.3 depends on numpy>=1.20 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.2 depends on numpy>=1.20 tensorflow-datasets 3.1.0 depends on numpy tensorflow 2.4.0 depends on numpy~=1.19.2 tensorboard 2.4.0 depends on numpy>=1.12.0 torchvision 0.13.1 depends on numpy tensorflow-probability 0.12.2 depends on numpy>=1.13.3 jax 0.2.8 depends on numpy>=1.12 jaxlib 0.4.1 depends on numpy>=1.20

可以看一下我刚发的