compare-allids-embeds.py

#!/bin/env python

""" Work in progress
    temp utility.
    Load in two pre-calculated embeddings files.
    (eg: *.allid.*)

    Go through the full range and calculate distances between each.

    Add up and display

    This covers the full official range of tokenids,
    0-49405

"""


import sys
import torch
from safetensors import safe_open

file1=sys.argv[1]
file2=sys.argv[2]



device=torch.device("cuda")
print(f"reading {file1} embeddings now",file=sys.stderr)
model = safe_open(file1,framework="pt",device="cuda")
embs1=model.get_tensor("embeddings")
embs1.to(device)
print("Shape of loaded embeds =",embs1.shape)

print(f"reading {file2} embeddings now",file=sys.stderr)
model = safe_open(file2,framework="pt",device="cuda")
embs2=model.get_tensor("embeddings")
embs2.to(device)
print("Shape of loaded embeds =",embs2.shape)

if torch.equal(embs1 , embs2):
    print("HEY! Both files are identical!")
    exit(0)

print(f"calculating distances...")

# This calculates a full cross matrix of ALL distances to ALL other points
# in other tensor
##targetdistances = torch.cdist( embs1,embs2, p=2)


targetdistances = torch.norm(embs2 - embs1, dim=1)
print(targetdistances.shape) 
tl=targetdistances.tolist()

print(tl[:10])