Merge pull request #935 from wannature/singa_v9
update comments for ToTensor class
diff --git a/examples/demos/Classification/BloodMnist/transforms.py b/examples/demos/Classification/BloodMnist/transforms.py
index 54d9d12..19c4ec2 100644
--- a/examples/demos/Classification/BloodMnist/transforms.py
+++ b/examples/demos/Classification/BloodMnist/transforms.py
@@ -44,21 +44,6 @@
class ToTensor:
- """Convert a ``PIL Image`` to numpy.ndarray. This transform does not support torchscript.
-
- Converts a PIL Image (H x W x C) in the range [0, 255] to a torch.FloatTensor of shape
- (H x W x C) in the range [0.0, 1.0]
- if the PIL Image belongs to one of the modes (L, LA, P, I, F, RGB, YCbCr, RGBA, CMYK, 1)
-
- In the other cases, tensors are returned without scaling.
-
- .. note::
- Because the input image is scaled to [0.0, 1.0], this transformation should not be used when
- transforming target image masks. See the `references`_ for implementing the transforms for image masks.
-
- .. _references: https://github.com/pytorch/vision/tree/main/references/segmentation
- """
-
def forward(self, pic):
"""
Args:
