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fix typo in docstrings of some transforms #5609

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Merged
merged 2 commits into from
Mar 14, 2022
Merged

fix typo in docstrings of some transforms #5609

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49ea181
fix typo in docstrings of some transforms
Mar 14, 2022
6e71481
Merge branch 'main' into transforms-docstrings-fix
datumbox Mar 14, 2022
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6 changes: 3 additions & 3 deletions torchvision/transforms/transforms.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1894,7 +1894,7 @@ class RandomPosterize(torch.nn.Module):

Args:
bits (int): number of bits to keep for each channel (0-8)
p (float): probability of the image being color inverted. Default value is 0.5
p (float): probability of the image being posterized. Default value is 0.5
"""

def __init__(self, bits, p=0.5):
Expand Down Expand Up @@ -1927,7 +1927,7 @@ class RandomSolarize(torch.nn.Module):

Args:
threshold (float): all pixels equal or above this value are inverted.
p (float): probability of the image being color inverted. Default value is 0.5
p (float): probability of the image being solarized. Default value is 0.5
"""

def __init__(self, threshold, p=0.5):
Expand Down Expand Up @@ -1960,7 +1960,7 @@ class RandomAdjustSharpness(torch.nn.Module):
sharpness_factor (float): How much to adjust the sharpness. Can be
any non negative number. 0 gives a blurred image, 1 gives the
original image while 2 increases the sharpness by a factor of 2.
p (float): probability of the image being color inverted. Default value is 0.5
p (float): probability of the image being sharpened. Default value is 0.5
"""

def __init__(self, sharpness_factor, p=0.5):
Expand Down