Update modeling.py
Browse files- modeling.py +2 -8
modeling.py
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@@ -2,6 +2,7 @@ import torch
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import torch.nn as nn
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from transformers import PreTrainedModel, PretrainedConfig
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from transformers.modeling_outputs import CausalLMOutputWithPast
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class MaskedSelfAttentionLayer(nn.Module):
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def __init__(self, embed_dim, num_heads):
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@@ -133,14 +134,7 @@ class RecombinationTransformerLayer(nn.Module):
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return x
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model_type = "RecombinationTransformer"
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def __init__(self, embed_dim=1024, num_heads=8, num_layers=6, vocab_size=151643, **kwargs):
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super().__init__(**kwargs)
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self.embed_dim = embed_dim
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self.num_heads = num_heads
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self.num_layers = num_layers
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self.vocab_size = vocab_size
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class RecombinationTransformerForCausalLM(PreTrainedModel):
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config_class = RecombinationTransformerConfig
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import torch.nn as nn
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from transformers import PreTrainedModel, PretrainedConfig
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from transformers.modeling_outputs import CausalLMOutputWithPast
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from configure import RecombinationTransformerConfig
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class MaskedSelfAttentionLayer(nn.Module):
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def __init__(self, embed_dim, num_heads):
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return x
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class RecombinationTransformerForCausalLM(PreTrainedModel):
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config_class = RecombinationTransformerConfig
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