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Fix eval

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This commit is contained in:
James Betker 2022-02-11 10:59:32 -07:00
parent 5175b7d91a
commit 46b97049dc
2 changed files with 6 additions and 3 deletions
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2
codes/sweep.py
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@ -32,7 +32,7 @@ if __name__ == '__main__':
'less_resblocks': {'networks': {'generator': {'kwargs': {'num_res_blocks': [1, 1, 1, 1, 1, 1, 1]}}}}, 'less_resblocks': {'networks': {'generator': {'kwargs': {'num_res_blocks': [1, 1, 1, 1, 1, 1, 1]}}}},
'wider': {'networks': {'generator': {'kwargs': {'channel_mult': [1,2,4,6,8,8,8]}}}}, 'wider': {'networks': {'generator': {'kwargs': {'channel_mult': [1,2,4,6,8,8,8]}}}},
'inject_every_layer': {'networks': {'generator': {'kwargs': {'token_conditioning_resolutions': [1,2,4,8,16,32,64]}}}}, 'inject_every_layer': {'networks': {'generator': {'kwargs': {'token_conditioning_resolutions': [1,2,4,8,16,32,64]}}}},
'deep_conditioning': {'networks': {'generator': {'kwargs': {'cond_transformer_depth': 12}}}}, 'cosine_diffusion': {'steps': {'generator': {'injectors': {'diffusion': {'beta_schedule': {'schedule_name': 'cosine'}}}}}},
} }
opt = option.parse(base_opt, is_train=True) opt = option.parse(base_opt, is_train=True)
all_opts = [] all_opts = []

5
codes/trainer/eval/audio_diffusion_fid.py
View File

@ -17,7 +17,7 @@ from data.audio.unsupervised_audio_dataset import load_audio
from scripts.audio.gen.speech_synthesis_utils import load_discrete_vocoder_diffuser from scripts.audio.gen.speech_synthesis_utils import load_discrete_vocoder_diffuser
class StyleTransferEvaluator(evaluator.Evaluator): class AudioDiffusionFid(evaluator.Evaluator):
""" """
Evaluator produces generate from a diffusion model, then uses a pretrained wav2vec model to compute a frechet Evaluator produces generate from a diffusion model, then uses a pretrained wav2vec model to compute a frechet
distance between real and fake samples. distance between real and fake samples.
@ -31,6 +31,9 @@ class StyleTransferEvaluator(evaluator.Evaluator):
else: else:
self.skip = 1 self.skip = 1
diffusion_steps = opt_get(opt_eval, ['diffusion_steps'], 50) diffusion_steps = opt_get(opt_eval, ['diffusion_steps'], 50)
diffusion_schedule = opt_get(env['opt'], ['steps', 'generator', 'injectors', 'diffusion', 'beta_schedule', 'schedule_name'], None)
if diffusion_schedule is None:
print("Unable to infer diffusion schedule from master options. Getting it from eval (or guessing).")
diffusion_schedule = opt_get(opt_eval, ['diffusion_schedule'], 'cosine') diffusion_schedule = opt_get(opt_eval, ['diffusion_schedule'], 'cosine')
self.diffuser = load_discrete_vocoder_diffuser(desired_diffusion_steps=diffusion_steps, schedule=diffusion_schedule) self.diffuser = load_discrete_vocoder_diffuser(desired_diffusion_steps=diffusion_steps, schedule=diffusion_schedule)
self.dev = self.env['device'] self.dev = self.env['device']