removed warning about nan/zero weights, no longer useful

kilosort/spikedetect.py

@@ -222,18 +222,6 @@ def run(ops, bfile, device=torch.device('cuda'), progress_bar=None):
     weigh = torch.permute(weigh, (2, 0, 1)).contiguous()
     weigh = weigh / (weigh**2).sum(1).unsqueeze(1)**.5
 
-    nan_weights = torch.isnan(weigh)
-    zero_weights = (weigh == 0)
-    if (nan_weights.sum() > 0) or (zero_weights.sum() > 0):
-        msg = """
-              NaNs and/or zeroes present in weights for spikedetect.run,
-              may need to adjust `min_template_size` and/or `dminx` 
-              for best results.\n
-              If you're using a probe with multiple shanks, see 
-              https://kilosort.readthedocs.io/en/latest/multi_shank.html
-              """
-        warnings.warn(msg, UserWarning)
-
     st = np.zeros((10**6, 6), 'float64')
     tF = np.zeros((10**6, nC , ops['settings']['n_pcs']), 'float32')