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!606 Fix dataset api doc problem 

Merge pull request !606 from pengyanjun/fix_dataset_api_doc_change_line
This commit is contained in:
mindspore-ci-bot 2020-04-23 19:03:39 +08:00 committed by Gitee
parent ebd0fd33f6 adeed4fe67
commit eefb6edde2
3 changed files with 7 additions and 6 deletions
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3
mindspore/dataset/engine/datasets.py
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@ -2494,8 +2494,7 @@ class GeneratorDataset(SourceDataset):
shuffle (bool, optional): Whether or not to perform shuffle on the dataset. Random accessible input is required.
(default=None, expected order behavior shown in the table).
sampler (Sampler/Iterable, optional): Object used to choose samples from the dataset. Random accessible input is
required.
(default=None, expected order behavior shown in the table).
required (default=None, expected order behavior shown in the table).
num_shards (int, optional): Number of shards that the dataset should be divided into (default=None).
This argument should be specified only when 'num_samples' is "None". Random accessible input is required.
shard_id (int, optional): The shard ID within num_shards (default=None). This argument should be specified only

5
mindspore/dataset/transforms/vision/c_transforms.py
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@ -89,8 +89,8 @@ class Normalize(cde.NormalizeOp):
Normalize the input image with respect to mean and standard deviation.
Args:
mean (list): List of mean values for each channel, w.r.t channel order.
std (list): List of standard deviations for each channel, w.r.t. channel order.
mean (sequence): List or tuple of mean values for each channel, w.r.t channel order.
std (sequence): List or tuple of standard deviations for each channel, w.r.t. channel order.
"""
@check_normalize_c
@ -109,6 +109,7 @@ class RandomCrop(cde.RandomCropOp):
If size is an int, a square crop of size (size, size) is returned.
If size is a sequence of length 2, it should be (height, width).
padding (int or sequence, optional): The number of pixels to pad the image (default=None).
If padding is not None, pad image firstly with padding values.
If a single number is provided, it pads all borders with this value.
If a tuple or list of 2 values are provided, it pads the (left and top)
with the first value and (right and bottom) with the second value.

5
mindspore/dataset/transforms/vision/py_transforms.py
View File

@ -225,8 +225,8 @@ class Normalize:
The values of the array need to be in range [0.0, 1.0].
Args:
mean (list): List of mean values for each channel, w.r.t channel order.
std (list): List of standard deviations for each channel, w.r.t. channel order.
mean (sequence): List or tuple of mean values for each channel, w.r.t channel order.
std (sequence): List or tuple of standard deviations for each channel, w.r.t. channel order.
Examples:
>>> py_transforms.ComposeOp([py_transforms.Decode(),
@ -262,6 +262,7 @@ class RandomCrop:
If size is an int, a square crop of size (size, size) is returned.
If size is a sequence of length 2, it should be (height, width).
padding (int or sequence, optional): The number of pixels to pad the image (default=None).
If padding is not None, pad image firstly with padding values.
If a single number is provided, it pads all borders with this value.
If a tuple or list of 2 values are provided, it pads the (left and top)
with the first value and (right and bottom) with the second value.