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remove unused is_decoder parameter in DetrAttention #24226

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merged 2 commits into from
Jun 15, 2023
Merged

remove unused is_decoder parameter in DetrAttention #24226

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720ba96
issue#24161 remove unused is_decoder parameter in DetrAttention
JayL0321 Jun 13, 2023
ccdc73b
#24161 fix check_repository_consistency fail
JayL0321 Jun 13, 2023
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1 change: 0 additions & 1 deletion src/transformers/models/conditional_detr/modeling_conditional_detr.py
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Original file line number Diff line number Diff line change
Expand Up @@ -534,7 +534,6 @@ def __init__(
embed_dim: int,
num_heads: int,
dropout: float = 0.0,
is_decoder: bool = False,
bias: bool = True,
):
super().__init__()
Expand Down
3 changes: 0 additions & 3 deletions src/transformers/models/detr/modeling_detr.py
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Expand Up @@ -499,7 +499,6 @@ def __init__(
embed_dim: int,
num_heads: int,
dropout: float = 0.0,
is_decoder: bool = False,
bias: bool = True,
):
super().__init__()
Expand Down Expand Up @@ -697,7 +696,6 @@ def __init__(self, config: DetrConfig):
embed_dim=self.embed_dim,
num_heads=config.decoder_attention_heads,
dropout=config.attention_dropout,
is_decoder=True,
)
self.dropout = config.dropout
self.activation_fn = ACT2FN[config.activation_function]
Expand All @@ -708,7 +706,6 @@ def __init__(self, config: DetrConfig):
self.embed_dim,
config.decoder_attention_heads,
dropout=config.attention_dropout,
is_decoder=True,
)
self.encoder_attn_layer_norm = nn.LayerNorm(self.embed_dim)
self.fc1 = nn.Linear(self.embed_dim, config.decoder_ffn_dim)
Expand Down
3 changes: 0 additions & 3 deletions src/transformers/models/maskformer/modeling_maskformer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -416,7 +416,6 @@ def __init__(
embed_dim: int,
num_heads: int,
dropout: float = 0.0,
is_decoder: bool = False,
bias: bool = True,
):
super().__init__()
Expand Down Expand Up @@ -545,7 +544,6 @@ def __init__(self, config: DetrConfig):
embed_dim=self.embed_dim,
num_heads=config.decoder_attention_heads,
dropout=config.attention_dropout,
is_decoder=True,
)
self.dropout = config.dropout
self.activation_fn = ACT2FN[config.activation_function]
Expand All @@ -556,7 +554,6 @@ def __init__(self, config: DetrConfig):
self.embed_dim,
config.decoder_attention_heads,
dropout=config.attention_dropout,
is_decoder=True,
)
self.encoder_attn_layer_norm = nn.LayerNorm(self.embed_dim)
self.fc1 = nn.Linear(self.embed_dim, config.decoder_ffn_dim)
Expand Down
3 changes: 0 additions & 3 deletions src/transformers/models/table_transformer/modeling_table_transformer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -440,7 +440,6 @@ def __init__(
embed_dim: int,
num_heads: int,
dropout: float = 0.0,
is_decoder: bool = False,
bias: bool = True,
):
super().__init__()
Expand Down Expand Up @@ -642,7 +641,6 @@ def __init__(self, config: TableTransformerConfig):
embed_dim=self.embed_dim,
num_heads=config.decoder_attention_heads,
dropout=config.attention_dropout,
is_decoder=True,
)
self.dropout = config.dropout
self.activation_fn = ACT2FN[config.activation_function]
Expand All @@ -653,7 +651,6 @@ def __init__(self, config: TableTransformerConfig):
self.embed_dim,
config.decoder_attention_heads,
dropout=config.attention_dropout,
is_decoder=True,
)
self.encoder_attn_layer_norm = nn.LayerNorm(self.embed_dim)
self.fc1 = nn.Linear(self.embed_dim, config.decoder_ffn_dim)
Expand Down