# Copyright 2025 EO-Robotics Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from transformers.configuration_utils import PretrainedConfig from transformers.models.qwen2_5_vl.configuration_qwen2_5_vl import ( Qwen2_5_VLTextConfig, Qwen2_5_VLVisionConfig, ) class EO1VisionFlowMatchingConfig(PretrainedConfig): model_type = "eo1" sub_configs = {"vision_config": Qwen2_5_VLVisionConfig, "text_config": Qwen2_5_VLTextConfig} keys_to_ignore_at_inference = ["past_key_values"] def __init__( self, text_config=None, vision_config=None, image_token_id=151655, video_token_id=151656, action_chunk_size=50, max_action_dim=32, num_denoise_steps=10, action_act="linear", num_action_layers=2, state_token_id=151670, action_token_id=151666, action_pass_id=151667, **kwargs, ): if isinstance(vision_config, dict): self.vision_config = self.sub_configs["vision_config"](**vision_config) elif vision_config is None: self.vision_config = self.sub_configs["vision_config"]( hidden_size=1280, out_hidden_size=2048, tokens_per_second=2, ) if isinstance(text_config, dict): self.text_config = self.sub_configs["text_config"](**text_config) elif text_config is None: self.text_config = self.sub_configs["text_config"](**kwargs) self.image_token_id = image_token_id self.video_token_id = video_token_id self.state_token_id = state_token_id self.action_token_id = action_token_id self.action_pass_id = action_pass_id self.action_chunk_size = action_chunk_size self.max_action_dim = max_action_dim self.num_denoise_steps = num_denoise_steps self.action_act = action_act self.num_action_layers = num_action_layers super().__init__(**kwargs) EO1VisionFlowMatchingConfig.register_for_auto_class()