Python torch.utils.data.keys() Examples

The following are 3 code examples of torch.utils.data.keys(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module torch.utils.data , or try the search function .
Example #1
Source File: model.py    From honk with MIT License 6 votes vote down vote up 
def __init__(self, data, set_type, config):
        super().__init__()
        self.audio_files = list(data.keys())
        self.set_type = set_type
        self.audio_labels = list(data.values())
        config["bg_noise_files"] = list(filter(lambda x: x.endswith("wav"), config.get("bg_noise_files", [])))
        self.bg_noise_audio = [librosa.core.load(file, sr=16000)[0] for file in config["bg_noise_files"]]
        self.unknown_prob = config["unknown_prob"]
        self.silence_prob = config["silence_prob"]
        self.noise_prob = config["noise_prob"]
        self.input_length = config["input_length"]
        self.timeshift_ms = config["timeshift_ms"]
        self._audio_cache = SimpleCache(config["cache_size"])
        self._file_cache = SimpleCache(config["cache_size"])
        n_unk = len(list(filter(lambda x: x == 1, self.audio_labels)))
        self.n_silence = int(self.silence_prob * (len(self.audio_labels) - n_unk))
        self.audio_processor = AudioPreprocessor(n_mels=config["n_mels"], n_dct_filters=config["n_dct_filters"], hop_ms=10)
        self.audio_preprocess_type = config["audio_preprocess_type"]
Example #2
Source File: torch.py    From ml-pyxis with MIT License 5 votes vote down vote up 
def __getitem__(self, key):
        data = self.db[key]
        for k in data.keys():
            data[k] = torch.from_numpy(data[k])

        return data
Example #3
Source File: model.py    From honk with MIT License 5 votes vote down vote up 
def __setitem__(self, key, value):
        if key in self.keys():
            super().__setitem__(key, value)
        elif self.n_keys < self.limit:
            self.n_keys += 1
            super().__setitem__(key, value)
        return value