forked from mrq/DL-Art-School
fail gracefully from mfd
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@ -117,7 +117,10 @@ class MusicDiffusionFid(evaluator.Evaluator):
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mu2 = np.mean(proj2, axis=0)
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sigma1 = np.cov(proj1, rowvar=False)
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sigma2 = np.cov(proj2, rowvar=False)
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return torch.tensor(calculate_frechet_distance(mu1, sigma1, mu2, sigma2))
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try:
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return torch.tensor(calculate_frechet_distance(mu1, sigma1, mu2, sigma2))
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except:
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return 0
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def perform_eval(self):
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save_path = osp.join(self.env['base_path'], "../", "audio_eval", str(self.env["step"]))
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@ -166,13 +169,13 @@ class MusicDiffusionFid(evaluator.Evaluator):
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if __name__ == '__main__':
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diffusion = load_model_from_config('X:\\dlas\\experiments\\train_music_waveform_gen.yml', 'generator',
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diffusion = load_model_from_config('X:\\dlas\\experiments\\train_music_diffusion_tfd.yml', 'generator',
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also_load_savepoint=False,
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load_path='X:\\dlas\\experiments\\train_music_waveform_gen_reformed_mel\\models\\57500_generator_ema.pth'
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load_path='X:\\dlas\\experiments\\train_music_diffusion_tfd\\models\\3000_generator_ema.pth'
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).cuda()
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opt_eval = {'path': 'Y:\\split\\yt-music-eval', 'diffusion_steps': 500,
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'conditioning_free': True, 'conditioning_free_k': 1,
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'diffusion_schedule': 'linear', 'diffusion_type': 'spec_decode'}
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'diffusion_schedule': 'linear', 'diffusion_type': 'from_codes'}
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env = {'rank': 0, 'base_path': 'D:\\tmp\\test_eval_music', 'step': 26, 'device': 'cuda', 'opt': {}}
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eval = MusicDiffusionFid(diffusion, opt_eval, env)
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print(eval.perform_eval())
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