Numpy int32 error about lambeq HOT 4 CLOSED

Sorry, we are aware of the issue and it will be fixed in the next minor release. In the meantime, you can change the _randint() (line71-72) method in "C:\Users\elmm\AppData\Local\Programs\Python\Python39\lib\site-packages\lambeq\training\tket_model.py" to the following:

def _randint(self, low=-1 << 63, high=(1 << 63)-1):
    return np.random.randint(low, high, dtype=np.int64)

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Thank you so much. Right now it is running (it's a bit slow so it's on epoch 120, and has to reach 1000), but I think this fixed the issue.

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This is to be expected for the TketModel. To debug your architecture we suggest to use the NumpyModel with jit support enabled (faster by an order of magnitude).

from lambeq.

Sorry, we are aware of the issue and it will be fixed in the next minor release.

@ACE07-Sev Note that the new release is now out, including a fix for this.

from lambeq.