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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/
from abc import abstractmethod
import torch
import torch.nn as nn
import torch.nn.functional as F
class SpeechTower(nn.Module):
def __init__(self, speech_tower, args, delay_load=False):
super().__init__()
self.is_loaded = False
self.speech_tower_name = speech_tower
self.cfg_only = None
def forward(self, speeches):
if type(speeches) is list:
speech_features = []
for speech in speeches:
speech_feature = self.speech_tower.encoder(speech)
speech_feature = speech_feature.last_hidden_state
speech_feature = speech_feature.to(speech.dtype)
speech_features.append(speech_feature)
else:
speech_features = self.speech_tower.encoder(speeches)
speech_features = speech_features.last_hidden_state
speech_features = speech_features.to(speeches.dtype)
return speech_features
@property
def dummy_feature(self):
return torch.zeros(1, self.hidden_size, device=self.device, dtype=self.dtype)
@property
def dtype(self):
return self.speech_tower.dtype
@property
def device(self):
return self.speech_tower.device
@property
def config(self):
if self.is_loaded:
return self.speech_tower.config
else:
return self.cfg_only
@property
def hidden_size(self):
return self.config.hidden_size
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