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# Copyright 2021 Zilliz. 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 torch import nn
import torch
import sys
from pathlib import Path
from towhee.models.vggish.torch_vggish import VGG
sys.path.append(str(Path(__file__).parent))
import vggish_input
class Model(nn.Module):
"""
PyTorch model class
"""
def __init__(self, weights_path: str=None):
super().__init__()
self._model = VGG()
if not weights_path:
path = str(Path(__file__).parent)
weights_path = path + '/vggish.pth'
state_dict = torch.load(weights_path, map_location=torch.device('cpu'))
self._model.load_state_dict(state_dict)
self._model.eval()
def forward(self, x):
return self._model(x)
def preprocess(self, audio_path: str):
audio_tensors = vggish_input.wavfile_to_examples(audio_path)
return audio_tensors
def train(self):
"""
For training model
"""
pass