meh
Browse files- compare-allids-embeds.py +9 -6
compare-allids-embeds.py
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#!/bin/env python
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"""
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temp utility.
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Load in two pre-calculated embeddings files.
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(eg: *.allid.*)
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This covers the full official range of tokenids,
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0-49405
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"""
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@@ -63,6 +65,7 @@ embs2_avg=torch.mean(embs2,dim=0)
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avg_dist= torch.cdist( embs1_avg.unsqueeze(0),embs2_avg.unsqueeze(0), p=2)
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print("However, the distance between the avg-point of each is:",avg_dist)
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######################################
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#!/bin/env python
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"""
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Load in two pre-calculated embeddings files.
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(eg: *.allid.*)
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Typically, I generate files that cover the full range of tokenids,
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0-49405
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(using generate-allid-embeddings.py(XL).py )
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This then goes through the full range and calculate distances
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between each.
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Display a graph of the distances.
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Also print out things like the mean distance
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"""
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avg_dist= torch.cdist( embs1_avg.unsqueeze(0),embs2_avg.unsqueeze(0), p=2)
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print("However, the distance between the avg-point of each is:",avg_dist)
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print("Mean of all the distances:" + str(torch.mean(targetdistances,dim=0)))
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######################################
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