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| author | Jonas Knobloch <jonas.knobloch@t-online.de> | 2026-04-24 11:08:40 +0200 |
|---|---|---|
| committer | Jonas Knobloch <jonas.knobloch@t-online.de> | 2026-04-24 11:08:40 +0200 |
| commit | b6c18b986996e8856483aff30c731acd4d79696f (patch) | |
| tree | adbd0aae689565353f57cf26bef1f987b6b68cee /gpt2 | |
| parent | 1e02a5ec7f7794bb542e99ceb804ed88048b6b54 (diff) | |
Add logits script
Diffstat (limited to 'gpt2')
| -rw-r--r-- | gpt2/scripts/logits.py | 35 |
1 files changed, 35 insertions, 0 deletions
diff --git a/gpt2/scripts/logits.py b/gpt2/scripts/logits.py new file mode 100644 index 0000000..4f413b2 --- /dev/null +++ b/gpt2/scripts/logits.py @@ -0,0 +1,35 @@ +#!/usr/bin/env python3 + +import json + +from optimum.onnxruntime import ORTModelForCausalLM +from transformers import AutoTokenizer + +cpu_provider = "CPUExecutionProvider" +cuda_provider = "CUDAExecutionProvider" + +model = ORTModelForCausalLM.from_pretrained( + "../models/base", + provider=cuda_provider, + local_files_only=True, + use_cache=False, +) + +tokenizer = AutoTokenizer.from_pretrained("../models/base") + +text = "The quick brown fox jumps over the lazy dog" +inputs = tokenizer(text, return_tensors="pt") + +print(inputs) + +outputs = model(**inputs) +logits = outputs.logits + +export = logits.squeeze(0).detach().cpu().numpy().astype("float32") + +export.tofile("logits.f32") + +seq_len, vocab = export.shape + +with open("shape.json", "w") as f: + json.dump({"seq_len": int(seq_len), "vocab": int(vocab)}, f) |
