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move the fix a bit

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Arthur 2025-07-01 15:00:38 +02:00
parent 00afce9837
commit 3ac6c52f34
2 changed files with 10 additions and 8 deletions
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9
src/transformers/models/emu3/modeling_emu3.py
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@ -1103,10 +1103,6 @@ class Emu3PreTrainedModel(PreTrainedModel):
_supports_param_buffer_assignment = False _supports_param_buffer_assignment = False
_supports_flex_attn = True _supports_flex_attn = True
_supports_attention_backend = True _supports_attention_backend = True
_can_record_outputs: dict[str, tuple[nn.Module, int]] = {
"hidden_states": (Emu3DecoderLayer, 0),
"attentions": (Emu3Attention, 1),
}
def _init_weights(self, module): def _init_weights(self, module):
std = self.config.get_text_config().initializer_range std = self.config.get_text_config().initializer_range
@ -1158,6 +1154,11 @@ class Emu3RotaryEmbedding(nn.Module):
@auto_docstring @auto_docstring
class Emu3TextModel(Emu3PreTrainedModel): class Emu3TextModel(Emu3PreTrainedModel):
_can_record_outputs: dict[str, tuple[nn.Module, int]] = {
"hidden_states": (Emu3DecoderLayer, 0),
"attentions": (Emu3Attention, 1),
}
def __init__(self, config: Emu3Config): def __init__(self, config: Emu3Config):
super().__init__(config) super().__init__(config)
self.padding_idx = config.pad_token_id self.padding_idx = config.pad_token_id

9
src/transformers/models/emu3/modular_emu3.py
View File

@ -846,10 +846,6 @@ class Emu3PreTrainedModel(ChameleonPreTrainedModel, Emu3VQVAE):
] ]
_supports_flex_attn = True _supports_flex_attn = True
_supports_attention_backend = True _supports_attention_backend = True
_can_record_outputs: dict[str, tuple[nn.Module, int]] = {
"hidden_states": (Emu3DecoderLayer, 0),
"attentions": (Emu3Attention, 1),
}
def _init_weights(self, module): def _init_weights(self, module):
std = self.config.get_text_config().initializer_range std = self.config.get_text_config().initializer_range
@ -866,6 +862,11 @@ class Emu3PreTrainedModel(ChameleonPreTrainedModel, Emu3VQVAE):
class Emu3TextModel(LlamaModel, Emu3PreTrainedModel): class Emu3TextModel(LlamaModel, Emu3PreTrainedModel):
_can_record_outputs: dict[str, tuple[nn.Module, int]] = {
"hidden_states": (Emu3DecoderLayer, 0),
"attentions": (Emu3Attention, 1),
}
def __init__(self, config: Emu3Config): def __init__(self, config: Emu3Config):
super().__init__(config) super().__init__(config)
self.layers = nn.ModuleList( self.layers = nn.ModuleList(