| #!/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") | |