Python torch.utils.data.keys() Examples
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code examples of torch.utils.data.keys().
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Example #1
Source File: model.py From honk with MIT License | 6 votes |
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 |
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 |
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