learning/annotated_deep_learning_paper_implementations
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default configs

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This commit is contained in:
Varuna Jayasiri
2020-09-26 20:47:33 +05:30
parent 12dc9cc4f6
commit 32e7df1e54
1 changed files with 7 additions and 8 deletions
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15
labml_nn/gan/mnist.py
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@ -161,14 +161,20 @@ calculate(Configs.discriminator_loss, lambda c: DiscriminatorLogitsLoss(c.label_
@option(Configs.discriminator_optimizer)
def _discriminator_optimizer(c: Configs):
opt_conf = OptimizerConfigs()
opt_conf.optimizer = 'Adam'
opt_conf.parameters = c.discriminator.parameters()
opt_conf.learning_rate = 2.5e-4
opt_conf.betas = (0.5, 0.999)
return opt_conf
@option(Configs.generator_optimizer)
def _generator_optimizer(c: Configs):
opt_conf = OptimizerConfigs()
opt_conf.optimizer = 'Adam'
opt_conf.parameters = c.generator.parameters()
opt_conf.learning_rate = 2.5e-4
opt_conf.betas = (0.5, 0.999)
return opt_conf
@ -176,14 +182,7 @@ def main():
conf = Configs()
experiment.create(name='mnist_gan', comment='test')
experiment.configs(conf,
{'generator_optimizer.learning_rate': 2.5e-4,
'generator_optimizer.optimizer': 'Adam',
'generator_optimizer.betas': (0.5, 0.999),
'discriminator_optimizer.learning_rate': 2.5e-4,
'discriminator_optimizer.optimizer': 'Adam',
'discriminator_optimizer.betas': (0.5, 0.999),
'label_smoothing': 0.01
},
{'label_smoothing': 0.01},
'run')
with experiment.start():
conf.run()