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Source code for flash.audio.speech_recognition.output_transform

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#     http://www.apache.org/licenses/LICENSE-2.0
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from typing import Any

import torch

from flash.core.data.io.output_transform import OutputTransform
from flash.core.utilities.imports import _TOPIC_AUDIO_AVAILABLE, requires

if _TOPIC_AUDIO_AVAILABLE:
    from transformers import Wav2Vec2CTCTokenizer


[docs]class SpeechRecognitionOutputTransform(OutputTransform): def __init__(self, backbone: str): super().__init__() self.backbone = backbone self._tokenizer = Wav2Vec2CTCTokenizer.from_pretrained(self.backbone) @requires("audio") def per_batch_transform(self, batch: Any) -> Any: # converts logits into greedy transcription pred_ids = torch.argmax(batch, dim=-1) return self._tokenizer.batch_decode(pred_ids) def __getstate__(self): # TODO: Find out why this is being pickled state = self.__dict__.copy() state.pop("_tokenizer", None) return state def __setstate__(self, state): self.__dict__.update(state) if self.backbone is not None: self._tokenizer = Wav2Vec2CTCTokenizer.from_pretrained(self.backbone)

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