DeciLMForCausalLM(DeciLMPreTrainedModel, GenerationMixin) for v4.50 (#16)
Browse files- DeciLMForCausalLM(DeciLMPreTrainedModel, GenerationMixin) for v4.50 (f3ff1f12f57fe5142bc8902c6a067b870cab022e)
- modeling_decilm.py +2 -2
modeling_decilm.py
CHANGED
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@@ -25,7 +25,7 @@ import torch.utils.checkpoint
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from torch import nn
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from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
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from transformers import GenerationConfig
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from transformers.generation.utils import NEED_SETUP_CACHE_CLASSES_MAPPING
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from transformers.modeling_utils import PreTrainedModel
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from transformers.utils import (
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add_start_docstrings,
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@@ -1131,7 +1131,7 @@ class DeciLMModel(DeciLMPreTrainedModel):
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return causal_mask
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class DeciLMForCausalLM(DeciLMPreTrainedModel):
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_tied_weights_keys = ["lm_head.weight"]
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def __init__(self, config):
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from torch import nn
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from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
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from transformers import GenerationConfig
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+
from transformers.generation.utils import GenerationMixin, NEED_SETUP_CACHE_CLASSES_MAPPING
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from transformers.modeling_utils import PreTrainedModel
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from transformers.utils import (
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add_start_docstrings,
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return causal_mask
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class DeciLMForCausalLM(DeciLMPreTrainedModel, GenerationMixin):
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_tied_weights_keys = ["lm_head.weight"]
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def __init__(self, config):
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