Add GPT ut #3133
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Add GPT ut #3133
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guoshengCS
reviewed
Aug 25, 2022
| self.bias = paddle.tril( | ||
| paddle.ones( | ||
| [1, 1, max_position_embeddings, max_position_embeddings], | ||
| dtype="int64")) |
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在 program guard 里面应该是 ok 的
| def get_pipeline_config(self): | ||
| config = self.get_config() | ||
| config.vocab_size = 300 | ||
| return config |
| model = GPTLMHeadModel.from_pretrained( | ||
| "gpt2-en", | ||
| reorder_and_upcast_attn=False, | ||
| scale_attn_by_inverse_layer_idx=False, |
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这两个暂时不支持的先注掉吧，另外当前这样不会报错是吗，如果不报错的话也有点跟之前预期不太一致
| self.tokenizer_class.pretrained_resource_files_map.values()) | ||
| [0]), 1) | ||
|
|
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| def test_offsets_mapping(self): |
| # shorter than `max_length` can be generated which could lead to flaky circle ci | ||
| # failures if the top `num_return_sequences` beams are all shorter than the longest beam | ||
| config["eos_token_id"] = None | ||
| config["forced_eos_token_id"] = None |
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因为 hf 和我们的 max_length 含义不一样，所以 hf 强依赖这个。我们不需要这样设置。
| GPTForTokenClassification) | ||
| all_generative_model_classes = {GPTLMHeadModel: (GPTModel, "gpt")} | ||
| all_parallelizable_model_classes = (GPTLMHeadModel) | ||
| fx_compatible = True |
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这个torch独有的也去掉吧，对于其他我们暂时没有的可以先注掉
| else: | ||
| attention_mask = causal_mask | ||
| attention_mask = (1.0 - casual_mask) * -1e9 |
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API文档中attention_mask的支持情况也一并调整了吧
guoshengCS
approved these changes
Aug 29, 2022
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Add GPT ut.