Fix model names in examples are inconsistent

examples/advanced/execute_remotely_example.py

@@ -7,14 +7,17 @@ make sure code doesn't crash, and then move to a stronger machine for the entire
 """
 
 from __future__ import print_function
+
 import argparse
 import os
 from tempfile import gettempdir
+
 import torch
 import torch.nn as nn
 import torch.nn.functional as F
 import torch.optim as optim
 from torchvision import datasets, transforms
+
 from clearml import Task, Logger
 
 
@@ -127,8 +130,9 @@ def main():
             task.execute_remotely(queue_name="default")
         train(args, model, device, train_loader, optimizer, epoch)
         test(args, model, device, test_loader, epoch)
-    if (args.save_model):
-        torch.save(model.state_dict(), os.path.join(gettempdir(), "mnist_cnn.pt"))
+
+    if args.save_model:
+        torch.save(model.state_dict(), os.path.join(gettempdir(), "mnist_cnn_remote.pt"))
 
 
 if __name__ == '__main__':

examples/frameworks/pytorch/pytorch_abseil.py

@@ -156,7 +156,7 @@ def main(_):
         test(FLAGS, model, device, test_loader, epoch)
 
     if FLAGS.save_model:
-        torch.save(model.state_dict(), os.path.join(gettempdir(), "mnist_cnn.pt"))
+        torch.save(model.state_dict(), os.path.join(gettempdir(), "mnist_cnn_abseil.pt"))
 
 
 if __name__ == "__main__":

examples/frameworks/pytorch/pytorch_mnist.py

@@ -1,6 +1,7 @@
 # ClearML - Example of Pytorch mnist training integration
 #
 from __future__ import print_function
+
 import argparse
 import os
 from tempfile import gettempdir
@@ -128,7 +129,7 @@ def main():
         train(args, model, device, train_loader, optimizer, epoch)
         test(args, model, device, test_loader, epoch)
 
-    if (args.save_model):
+    if args.save_model:
         torch.save(model.state_dict(), os.path.join(gettempdir(), "mnist_cnn.pt"))