remove unused is_decoder parameter in DetrAttention (#24226)

* issue#24161 remove unused is_decoder parameter in DetrAttention * #24161 fix check_repository_consistency fail
huggingface · Jun 15, 2023 · a611ac9 · a611ac9
1 parent 33196b4
commit a611ac9
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Showing 4 changed files with 0 additions and 10 deletions.
diff --git a/src/transformers/models/conditional_detr/modeling_conditional_detr.py b/src/transformers/models/conditional_detr/modeling_conditional_detr.py
@@ -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__()

diff --git a/src/transformers/models/detr/modeling_detr.py b/src/transformers/models/detr/modeling_detr.py
@@ -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__()
@@ -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]
@@ -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)

diff --git a/src/transformers/models/maskformer/modeling_maskformer.py b/src/transformers/models/maskformer/modeling_maskformer.py
@@ -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__()
@@ -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]
@@ -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)

diff --git a/src/transformers/models/table_transformer/modeling_table_transformer.py b/src/transformers/models/table_transformer/modeling_table_transformer.py
@@ -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__()
@@ -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]
@@ -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)