Remove loguru

We don't need to add this dependency just to print things.

Author: yngtodd

examples/darts/advanced/example.py

@@ -4,8 +4,6 @@
 from torch.utils.data import DataLoader
 from torchvision import datasets, transforms
 
-from loguru import logger
-
 import example_setup as bmk
 import darts
 import candle
@@ -91,10 +89,10 @@ def run(params):
 
         scheduler.step()
         lr = scheduler.get_lr()[0]
-        logger.info(f'\nEpoch: {epoch} lr: {lr}')
+        print(f'\nEpoch: {epoch} lr: {lr}')
 
         genotype = model.genotype()
-        logger.info(f'Genotype: {genotype}\n')
+        print(f'Genotype: {genotype}\n')
 
         train(
             trainloader,
@@ -162,7 +160,7 @@ def train(trainloader,
         meter.update_batch_accuracy(prec1, batch_size)
 
         if step % args.log_interval == 0:
-            logger.info(f'Step: {step} loss: {meter.loss_meter.avg:.4}')
+            print(f'Step: {step} loss: {meter.loss_meter.avg:.4}')
 
     meter.update_epoch()
     meter.save(args.savepath)
@@ -187,7 +185,7 @@ def validate(validloader, model, criterion, args, tasks, meter, device):
             meter.update_batch_accuracy(prec1, batch_size)
 
             if step % args.log_interval == 0:
-                logger.info(f'>> Validation: {step} loss: {meter.loss_meter.avg:.4}')
+                print(f'>> Validation: {step} loss: {meter.loss_meter.avg:.4}')
 
     meter.update_epoch()
     meter.save(args.savepath)

examples/darts/uno/uno_example.py

@@ -2,7 +2,6 @@
 import torch.nn as nn
 from torch import optim
 from torch.utils.data import DataLoader
-from loguru import logger
 
 import example_setup as bmk
 import darts
@@ -74,10 +73,10 @@ def run(params):
 
         scheduler.step()
         lr = scheduler.get_lr()[0]
-        logger.info(f'\nEpoch: {epoch} lr: {lr}')
+        print(f'\nEpoch: {epoch} lr: {lr}')
 
         genotype = model.genotype()
-        logger.info(f'Genotype: {genotype}\n')
+        print(f'Genotype: {genotype}\n')
 
         train(
             trainloader,
@@ -154,7 +153,7 @@ def train(trainloader,
             min_accuracy = accuracy_avg
 
         if step % args.log_interval == 0:
-            logger.info(f'Step: {step} loss: {meter.loss_meter.avg:.4}')
+            print(f'Step: {step} loss: {meter.loss_meter.avg:.4}')
 
     meter.update_epoch()
     meter.save(args.savepath)
@@ -179,7 +178,7 @@ def validate(validloader, model, criterion, args, tasks, meter, device):
             meter.update_batch_accuracy(prec1, batch_size)
 
             if step % args.log_interval == 0:
-                logger.info(f'>> Validation: {step} loss: {meter.loss_meter.avg:.4}')
+                print(f'>> Validation: {step} loss: {meter.loss_meter.avg:.4}')
 
     meter.update_epoch()
     meter.save(args.savepath)