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| # Copyright (c) 2025 NVIDIA CORPORATION. | |
| # Licensed under the MIT license. | |
| # Adapted from https://github.com/NVlabs/VILA/tree/main under the Apache 2.0 license. | |
| # LICENSE is in incl_licenses directory. | |
| # Copyright 2024 NVIDIA CORPORATION & AFFILIATES | |
| # | |
| # 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. | |
| # | |
| # SPDX-License-Identifier: Apache-2.0 | |
| # This file is modified from https://github.com/haotian-liu/LLaVA/ | |
| import torch | |
| from transformers import PretrainedConfig | |
| from llava.model.ImageBind.models import imagebind_model | |
| from llava.model.multimodal_encoder.sound_encoder import SoundTower | |
| class ImagebindSoundTower(SoundTower): | |
| def __init__(self, model_name_or_path: str, config: PretrainedConfig): | |
| super().__init__(model_name_or_path, config) | |
| self.sound_tower,_ = imagebind_model.imagebind_huge() | |
| self.sound_tower.load_state_dict(torch.load(model_name_or_path)) | |
| self.is_loaded = True | |