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fix inference
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@ -13,8 +13,6 @@ from matcha.hifigan.config import v1, v2, v3
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from matcha.hifigan.denoiser import Denoiser
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from tokenizer import Tokenizer
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from matcha.hifigan.models import Generator as HiFiGAN
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from matcha.text import sequence_to_text, text_to_sequence
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from matcha.utils.utils import intersperse
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from tqdm.auto import tqdm
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from train import get_model, get_params
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@ -151,8 +149,13 @@ def main():
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denoiser = Denoiser(vocoder, mode="zeros")
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texts = [
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"The Secret Service believed that it was very doubtful that any President would ride regularly in a vehicle with a fixed top, even though transparent.",
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"Today as always, men fall into two groups: slaves and free men. Whoever does not have two-thirds of his day for himself, is a slave, whatever he may be: a statesman, a businessman, an official, or a scholar.",
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"The Secret Service believed that it was very doubtful that any "
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"President would ride regularly in a vehicle with a fixed top, even "
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"though transparent.",
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"Today as always, men fall into two groups: slaves and free men. "
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"Whoever does not have two-thirds of his day for himself, is a slave, "
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"whatever he may be: a statesman, a businessman, an official, or a "
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"scholar.",
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]
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# Number of ODE Solver steps
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@ -164,7 +167,7 @@ def main():
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# Sampling temperature
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temperature = 0.667
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outputs, rtfs = [], []
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rtfs = []
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rtfs_w = []
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for i, text in enumerate(tqdm(texts)):
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output = synthesise(
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@ -202,7 +205,8 @@ def main():
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print(f"Number of ODE steps: {n_timesteps}")
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print(f"Mean RTF:\t\t\t\t{np.mean(rtfs):.6f} ± {np.std(rtfs):.6f}")
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print(
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f"Mean RTF Waveform (incl. vocoder):\t{np.mean(rtfs_w):.6f} ± {np.std(rtfs_w):.6f}"
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"Mean RTF Waveform "
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f"(incl. vocoder):\t{np.mean(rtfs_w):.6f} ± {np.std(rtfs_w):.6f}"
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)
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