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chenpangpang
transformers
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9acce7de
Unverified
Commit
9acce7de
authored
Mar 13, 2024
by
Younes Belkada
Committed by
GitHub
Mar 13, 2024
Browse files
Core: Fix copies on main (#29624)
fix fix copies
parent
be3fd8a2
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src/transformers/models/gptj/modeling_gptj.py
src/transformers/models/gptj/modeling_gptj.py
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src/transformers/models/gptj/modeling_gptj.py
View file @
9acce7de
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@@ -454,7 +454,7 @@ class GPTJFlashAttention2(GPTJAttention):
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@@ -454,7 +454,7 @@ class GPTJFlashAttention2(GPTJAttention):
attention_mask (`torch.Tensor`):
attention_mask (`torch.Tensor`):
The padding mask - corresponds to a tensor of size `(batch_size, seq_len)` where 0 stands for the
The padding mask - corresponds to a tensor of size `(batch_size, seq_len)` where 0 stands for the
position of padding tokens and 1 for the position of non-padding tokens.
position of padding tokens and 1 for the position of non-padding tokens.
dropout (`
int`, *optional*
):
dropout (`
float`
):
Attention dropout
Attention dropout
softmax_scale (`float`, *optional*):
softmax_scale (`float`, *optional*):
The scaling of QK^T before applying softmax. Default to 1 / sqrt(head_dim)
The scaling of QK^T before applying softmax. Default to 1 / sqrt(head_dim)
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