tflite.md

• TFLite Tutorial
  • Conversion
  • Inference
    • 1. Input
    • 2. Output
    • 3. Example script

TFLite Tutorial

Conversion

python3 examples/tflite.py \
    --config-path=/path/to/config.yml.j2 \
    --h5=/path/to/weight.h5 \
    --bs=1 \ # Batch size
    --beam-width=0 \ # Beam width, set >0 to enable beam search
    --output=/path/to/output.tflite
## See others params
python examples/tflite.py --help

Inference

1. Input

Input of each tflite depends on the models' parameters and configs.

The inputs, inputs_length and previous_tokens are still the same as bellow for all models.

schemas.PredictInput(
    inputs=tf.TensorSpec([batch_size, None], dtype=tf.float32),
    inputs_length=tf.TensorSpec([batch_size], dtype=tf.int32),
    previous_tokens=tf.TensorSpec.from_tensor(self.get_initial_tokens(batch_size)),
    previous_encoder_states=tf.TensorSpec.from_tensor(self.get_initial_encoder_states(batch_size)),
    previous_decoder_states=tf.TensorSpec.from_tensor(self.get_initial_decoder_states(batch_size)),
)

For models that don't have encoder states or decoder states, the default values are tf.zeros([], dtype=self.dtype) tensors for previous_encoder_states and previous_decoder_states. This is just for tflite conversion because tflite does not allow None value in input_signature. However, the output next_encoder_states and next_decoder_states are still None, so we can simply ignore those outputs.

2. Output

schemas.PredictOutputWithTranscript(
    transcript=self.tokenizer.detokenize(outputs.tokens),
    tokens=outputs.tokens,
    next_tokens=outputs.next_tokens,
    next_encoder_states=outputs.next_encoder_states,
    next_decoder_states=outputs.next_decoder_states,
)

This is for supporting streaming inference.

Each output corresponds to the input = each chunk of audio signal.

Then we can overwrite previous_tokens, previous_encoder_states and previous_decoder_states with next_tokens, next_encoder_states and next_decoder_states for the next chunk of audio signal.

And continue until the end of the audio signal.

3. Example script

See examples/inferences/tflite.py for more details.