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16 changes: 6 additions & 10 deletions torchvision/transforms/functional.py
Original file line number Diff line number Diff line change
Expand Up @@ -124,17 +124,13 @@ def to_tensor(pic):
return torch.from_numpy(nppic).to(dtype=default_float_dtype)

# handle PIL Image
if pic.mode == 'I':
img = torch.from_numpy(np.array(pic, np.int32, copy=False))
elif pic.mode == 'I;16':
img = torch.from_numpy(np.array(pic, np.int16, copy=False))
elif pic.mode == 'F':
img = torch.from_numpy(np.array(pic, np.float32, copy=False))
elif pic.mode == '1':
img = 255 * torch.from_numpy(np.array(pic, np.uint8, copy=False))
else:
img = torch.ByteTensor(torch.ByteStorage.from_buffer(pic.tobytes()))
mode_to_nptype = {'I': np.int32, 'I;16': np.int16, 'F': np.float32}
img = torch.from_numpy(
np.array(pic, mode_to_nptype.get(pic.mode, np.uint8), copy=True)
)

if pic.mode == '1':
img = 255 * img
img = img.view(pic.size[1], pic.size[0], len(pic.getbands()))
# put it from HWC to CHW format
img = img.permute((2, 0, 1)).contiguous()
Expand Down