Upload generate-distances.py

generate-distances.py

@@ -0,0 +1,37 @@
+#!/usr/bin/python3
+
+""" Work in progress
+Plan:
+   Read in fullword.json for list of words and token
+   Read in pre-calculated "proper" embedding for each token from safetensor file
+   Generate a tensor array of distance for each token, to every other token/embedding
+   Save it out
+"""
+
+
+import sys
+import json
+import torch
+from safetensors import safe_open
+
+embed_file="embeddings.safetensors"
+
+device=torch.device("cuda")
+
+print("read in words from json now",file=sys.stderr)
+with open("fullword.json","r") as f:
+    tokendict = json.load(f)
+
+print("read in embeddingsnow",file=sys.stderr)
+
+
+model = safe_open(embed_file,framework="pt",device="cuda")
+embs=model.get_tensor("embeddings")
+
+
+print("Shape of result = ",embs.shape)
+
+
+print("calculate distances now")
+
+