76 lines
2.3 KiB
Python
76 lines
2.3 KiB
Python
# This unit test should be moved to a new
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# tests/test_guided_decoding directory.
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import torch
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from transformers import AutoTokenizer
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from vllm.model_executor.guided_logits_processors import (JSONLogitsProcessor,
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RegexLogitsProcessor)
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TEST_SCHEMA = {
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"type": "object",
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"properties": {
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"name": {
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"type": "string"
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},
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"age": {
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"type": "integer"
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},
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"skills": {
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"type": "array",
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"items": {
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"type": "string",
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"maxLength": 10
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},
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"minItems": 3
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},
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"work history": {
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"type": "array",
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"items": {
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"type": "object",
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"properties": {
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"company": {
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"type": "string"
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},
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"duration": {
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"type": "string"
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},
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"position": {
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"type": "string"
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}
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},
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"required": ["company", "position"]
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}
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}
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},
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"required": ["name", "age", "skills", "work history"]
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}
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TEST_REGEX = (r"((25[0-5]|(2[0-4]|1\d|[1-9]|)\d)\.){3}"
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r"(25[0-5]|(2[0-4]|1\d|[1-9]|)\d)")
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def test_guided_logits_processors():
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"""Basic unit test for RegexLogitsProcessor and JSONLogitsProcessor."""
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tokenizer = AutoTokenizer.from_pretrained('HuggingFaceH4/zephyr-7b-beta')
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regex_LP = RegexLogitsProcessor(TEST_REGEX, tokenizer)
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json_LP = JSONLogitsProcessor(TEST_SCHEMA, tokenizer)
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regex_LP.init_state()
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token_ids = tokenizer.encode(
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f"Give an example IPv4 address with this regex: {TEST_REGEX}")
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tensor = torch.rand(32000)
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original_tensor = torch.clone(tensor)
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regex_LP(token_ids, tensor)
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assert tensor.shape == original_tensor.shape
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assert not torch.allclose(tensor, original_tensor)
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json_LP.init_state()
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token_ids = tokenizer.encode(
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f"Give an employee profile that fits this schema: {TEST_SCHEMA}")
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tensor = torch.rand(32000)
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original_tensor = torch.clone(tensor)
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json_LP(token_ids, tensor)
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assert tensor.shape == original_tensor.shape
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assert not torch.allclose(tensor, original_tensor)
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