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Remove unused max_position_embeddings in config classes #20836

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Merged
ydshieh merged 1 commit into from
Dec 20, 2022
Merged

Remove unused max_position_embeddings in config classes #20836

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2 changes: 0 additions & 2 deletions src/transformers/models/conditional_detr/configuration_conditional_detr.py
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Original file line number Diff line number Diff line change
Expand Up @@ -138,7 +138,6 @@ def __init__(
self,
num_channels=3,
num_queries=300,
max_position_embeddings=1024,
encoder_layers=6,
encoder_ffn_dim=2048,
encoder_attention_heads=8,
Expand Down Expand Up @@ -175,7 +174,6 @@ def __init__(
):
self.num_channels = num_channels
self.num_queries = num_queries
self.max_position_embeddings = max_position_embeddings
self.d_model = d_model
self.encoder_ffn_dim = encoder_ffn_dim
self.encoder_layers = encoder_layers
Expand Down
2 changes: 0 additions & 2 deletions src/transformers/models/detr/configuration_detr.py
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Expand Up @@ -135,7 +135,6 @@ def __init__(
self,
num_channels=3,
num_queries=100,
max_position_embeddings=1024,
encoder_layers=6,
encoder_ffn_dim=2048,
encoder_attention_heads=8,
Expand Down Expand Up @@ -171,7 +170,6 @@ def __init__(
):
self.num_channels = num_channels
self.num_queries = num_queries
self.max_position_embeddings = max_position_embeddings
self.d_model = d_model
self.encoder_ffn_dim = encoder_ffn_dim
self.encoder_layers = encoder_layers
Expand Down
5 changes: 0 additions & 5 deletions src/transformers/models/funnel/configuration_funnel.py
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Expand Up @@ -75,9 +75,6 @@ class FunnelConfig(PretrainedConfig):
The dropout probability for the attention probabilities.
activation_dropout (`float`, *optional*, defaults to 0.0):
The dropout probability used between the two layers of the feed-forward blocks.
max_position_embeddings (`int`, *optional*, defaults to 512):
The maximum sequence length that this model might ever be used with. Typically set this to something large
just in case (e.g., 512 or 1024 or 2048).
type_vocab_size (`int`, *optional*, defaults to 3):
The vocabulary size of the `token_type_ids` passed when calling [`FunnelModel`] or [`TFFunnelModel`].
initializer_range (`float`, *optional*, defaults to 0.1):
Expand Down Expand Up @@ -121,7 +118,6 @@ def __init__(
hidden_dropout=0.1,
attention_dropout=0.1,
activation_dropout=0.0,
max_position_embeddings=512,
type_vocab_size=3,
initializer_range=0.1,
initializer_std=None,
Expand All @@ -148,7 +144,6 @@ def __init__(
self.hidden_dropout = hidden_dropout
self.attention_dropout = attention_dropout
self.activation_dropout = activation_dropout
self.max_position_embeddings = max_position_embeddings
self.type_vocab_size = type_vocab_size
self.initializer_range = initializer_range
self.initializer_std = initializer_std
Expand Down
2 changes: 0 additions & 2 deletions src/transformers/models/table_transformer/configuration_table_transformer.py
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Expand Up @@ -137,7 +137,6 @@ def __init__(
self,
num_channels=3,
num_queries=100,
max_position_embeddings=1024,
encoder_layers=6,
encoder_ffn_dim=2048,
encoder_attention_heads=8,
Expand Down Expand Up @@ -173,7 +172,6 @@ def __init__(
):
self.num_channels = num_channels
self.num_queries = num_queries
self.max_position_embeddings = max_position_embeddings
self.d_model = d_model
self.encoder_ffn_dim = encoder_ffn_dim
self.encoder_layers = encoder_layers
Expand Down