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oops

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mrq 2023-03-05 13:24:07 +00:00
parent d312019d05
commit cd8702ab0d
1 changed files with 4 additions and 4 deletions
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8
src/utils.py
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@ -799,7 +799,7 @@ class TrainingState():
self.metrics['loss'] = [] self.metrics['loss'] = []
if len(self.losses) > 0: if len(self.losses) > 0:
self.metrics['loss'].append(f'Loss: {"{:3f}".format(self.losses[-1]["value"])}') self.metrics['loss'].append(f'Loss: {"{:.3f}".format(self.losses[-1]["value"])}')
if len(self.losses) >= 2: if len(self.losses) >= 2:
# i can probably do a """riemann sum""" to get a better derivative, but the instantaneous one works fine # i can probably do a """riemann sum""" to get a better derivative, but the instantaneous one works fine
@ -812,7 +812,7 @@ class TrainingState():
dstep = d2_step - d1_step dstep = d2_step - d1_step
# don't bother if the loss went up # don't bother if the loss went up
if dloss < 0: if True; # dloss < 0:
its_remain = self.its - self.it its_remain = self.its - self.it
inst_deriv = dloss / dstep inst_deriv = dloss / dstep
@ -828,7 +828,7 @@ class TrainingState():
self.metrics['loss'].append(f'Est. milestone {next_milestone} in: {int(est_its)}its') self.metrics['loss'].append(f'Est. milestone {next_milestone} in: {int(est_its)}its')
else: else:
est_loss = inst_deriv * its_remain + d1_loss est_loss = inst_deriv * its_remain + d1_loss
self.metrics['loss'].append(f'Est. final loss: {"{:3f}".format(est_loss)}') self.metrics['loss'].append(f'Est. final loss: {"{:.3f}".format(est_loss)}')
self.metrics['loss'] = ", ".join(self.metrics['loss']) self.metrics['loss'] = ", ".join(self.metrics['loss'])
@ -1289,7 +1289,7 @@ def get_training_list(dir="./training/"):
def do_gc(): def do_gc():
gc.collect() gc.collect()
try: try:
trytorch.cuda.empty_cache() torch.cuda.empty_cache()
except Exception as e: except Exception as e:
pass pass