Installation failed: MAX_TORCH_SEED_VALUE too high and specific versions for pytorch and fbprophet needed

[JBOE22175]

Install darts on windows

1. Following the install guide leads to "ERROR: No matching distribution found for torch==1.5.1; extra == "all" (from u8darts[all])"
   You need to specify the versions:
   conda install -c conda-forge -c pytorch pip fbprophet==0.6 pytorch==1.5.1 cpuonly

2. when fitting the model in "TCN-examples.ipynb" following error pops up:

File "C:\Users\JB\miniconda3\envs\darts2\lib\site-packages\darts\utilsguatda.com/cmx.p\torch.py", line 62, in decorator
    manual_seed(self._random_instance.randint(0, high=MAX_TORCH_SEED_VALUE))
  File "mtrand.pyx", line 743, in numpy.random.mtrand.RandomState.randint
  File "_bounded_integers.pyx", line 1343, in numpy.random._bounded_integers._rand_int32
ValueError: high is out of bounds for int32

I change coding in "...\site-packages\darts\utilsguatda.com/cmx.p\torch.py" in line 17:

#MAX_TORCH_SEED_VALUE = (1 << 63) - 1
MAX_TORCH_SEED_VALUE = 2147483647

After this change it works. It seems that results of model training is not affected.

System (please complete the following information):

• Win 10
• Python version: 3.7
• darts version 0.4.0

[hrzn]

Thanks for reporting @JBOE22175

[vl2376]

Still having this issue with darts 0.6.1, python 3.6 and Windows 10

[JBOE22175]

Yes, still the same.-- Diese Nachricht wurde von meinem Android Mobiltelefon mit WEB.DE Mail gesendet.Am 18.02.21, 10:42 schrieb vl2376 <notifications@github.com>: Still having this issue with darts 0.6.1, python 3.6 and Windows 10 —You are receiving this because you were mentioned.Reply to this email directly, view it on GitHub, or unsubscribe.

I have this issue as well.

[cosmerodolfo]

i have the same issue:

[Captain-1337]

This solution should work:

1. Go to the file \anconda\envs\env_name\lib\site-packages\darts\utilsguatda.com/cmx.p\torch.py in your system
2. Find the line MAX_TORCH_SEED_VALUE = (1 << 63) - 1 which should be around line 17
3. Change it to MAX_TORCH_SEED_VALUE = (1 << 31) - 1 so that it fits into 32 bit int.

(credit: https://stackoverflow.com/questions/66514169/when-tcn-is-used-for-prediction-python-there-is-a-valueerror-high-is-out-of-b)

[hrzn]

This was fixed in 0.7.0.