[Follow-up] Fix a tiny bug in tests of Improvement in RunningAverage (#…

…2982) * Fix the bug * Update Pillow usages
pytorch · Jul 3, 2023 · 35a2da3 · 35a2da3
1 parent 193643c
commit 35a2da3
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Showing 2 changed files with 3 additions and 3 deletions.
diff --git a/examples/fast_neural_style/utils.py b/examples/fast_neural_style/utils.py
@@ -4,9 +4,9 @@
 def load_image(filename, size=None, scale=None):
     img = Image.open(filename)
     if size is not None:
-        img = img.resize((size, size), Image.ANTIALIAS)
+        img = img.resize((size, size), Image.LANCZOS)
     elif scale is not None:
-        img = img.resize((int(img.size[0] / scale), int(img.size[1] / scale)), Image.ANTIALIAS)
+        img = img.resize((int(img.size[0] / scale), int(img.size[1] / scale)), Image.LANCZOS)
     return img
 
 

diff --git a/tests/ignite/metrics/test_running_average.py b/tests/ignite/metrics/test_running_average.py
@@ -54,7 +54,7 @@ def test_integration_batchwise(usage):
     n_classes = 10
     max_epochs = 3
     data = list(range(n_iters))
-    loss = torch.arange(n_iters)
+    loss = torch.arange(n_iters, dtype=torch.float)
     y_true = torch.randint(0, n_classes, size=(n_iters, batch_size))
     y_pred = torch.rand(n_iters, batch_size, n_classes)