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support vla_jepa
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@@ -27,12 +27,14 @@ class VLAJEPAConfig(PreTrainedConfig):
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jepa_encoder_name: str = "facebook/vjepa2-vitl-fpc64-256"
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tokenizer_padding_side: str = "left"
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prompt_template: str = "{instruction}\n\nPredict {actions} and condition future prediction with {e_actions}."
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prompt_template: str = (
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"{instruction}\n\nPredict {actions} and condition future prediction with {e_actions}."
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)
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special_action_token: str = "<|action_{}|>"
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embodied_action_token: str = "<|embodied_action|>"
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action_dim: int = 7
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state_dim: int = 7
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state_dim: int = 8
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future_action_window_size: int = 15
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past_action_window_size: int = 0
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num_action_tokens_per_timestep: int = 4
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@@ -42,7 +44,7 @@ class VLAJEPAConfig(PreTrainedConfig):
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action_hidden_size: int = 1024
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action_model_type: str = "DiT-B"
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action_num_layers: int = 12
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action_num_heads: int = 12
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action_num_heads: int = 16
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action_attention_head_dim: int = 64
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action_dropout: float = 0.1
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action_num_timestep_buckets: int = 1000
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