diff --git a/docs/api/api_python/dataset_transforms/mindspore.dataset.transforms.c_transforms.TypeCast.rst b/docs/api/api_python/dataset_transforms/mindspore.dataset.transforms.c_transforms.TypeCast.rst index cfa2003b7c..2fcfda6eb3 100644 --- a/docs/api/api_python/dataset_transforms/mindspore.dataset.transforms.c_transforms.TypeCast.rst +++ b/docs/api/api_python/dataset_transforms/mindspore.dataset.transforms.c_transforms.TypeCast.rst @@ -5,6 +5,8 @@ mindspore.dataset.transforms.c_transforms.TypeCast 将输入的Tensor转换为指定的数据类型。 + .. note:: 此操作支持通过 Offload 在 Ascend 或 GPU 平台上运行。 + **参数：** - **data_type** (mindspore.dtype) - 指定要转换的数据类型。 diff --git a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.SliceMode.rst b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.SliceMode.rst index 4c353146ed..a401da4382 100644 --- a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.SliceMode.rst +++ b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.SliceMode.rst @@ -7,5 +7,5 @@ mindspore.dataset.vision.SliceMode 可选枚举值为：SliceMode.PAD、SliceMode.DROP。 - - **SliceMode.PAD** - 当Tensor无法进行整数切分时，对剩余部分进行填充。 - - **SliceMode.DROP** - 当Tensor无法进行整数切分时，对剩余部分进行丢弃。 + - **SliceMode.PAD** - 当图像无法进行整数块切分时，填充最后一个图像块至指定切分尺寸大小。 + - **SliceMode.DROP** - 当图像无法进行整数块切分时，丢弃最后一个图像块。 diff --git a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.HWC2CHW.rst b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.HWC2CHW.rst index ea5a90276b..e457ae0430 100644 --- a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.HWC2CHW.rst +++ b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.HWC2CHW.rst @@ -5,6 +5,8 @@ mindspore.dataset.vision.c_transforms.HWC2CHW 将输入图像的shape从 转换为 。输入图像应为 3 通道图像。 + .. note:: 此操作支持通过 Offload 在 Ascend 或 GPU 平台上运行。 + **异常：** - **RuntimeError** - 如果输入图像的shape不是 。 diff --git a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.Normalize.rst b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.Normalize.rst index b1f897d54d..68e4bfa4ce 100644 --- a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.Normalize.rst +++ b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.Normalize.rst @@ -7,6 +7,8 @@ mindspore.dataset.vision.c_transforms.Normalize 此处理将使用以下公式对输入图像进行归一化：output[channel] = (input[channel] - mean[channel]) / std[channel]，其中 channel 代表通道索引，channel >= 1。 + .. note:: 此操作支持通过 Offload 在 Ascend 或 GPU 平台上运行。 + **参数：** - **mean** (sequence) - 图像每个通道的均值组成的列表或元组。平均值必须在 [0.0, 255.0] 范围内。 diff --git a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomColorAdjust.rst b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomColorAdjust.rst index 2f18c16287..6e0825ea3c 100644 --- a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomColorAdjust.rst +++ b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomColorAdjust.rst @@ -5,6 +5,8 @@ mindspore.dataset.vision.c_transforms.RandomColorAdjust 随机调整输入图像的亮度、对比度、饱和度和色调。 + .. note:: 此操作支持通过 Offload 在 Ascend 或 GPU 平台上运行。 + **参数：** - **brightness** (Union[float, list, tuple], 可选) - 亮度调整因子。不能为负，默认值：(1, 1)。 diff --git a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomCrop.rst b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomCrop.rst index 9087bb6d06..96672c3d88 100644 --- a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomCrop.rst +++ b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomCrop.rst @@ -34,7 +34,7 @@ mindspore.dataset.vision.c_transforms.RandomCrop - **TypeError** - 如果 `size` 不是int或Sequence[int]类型。 - **TypeError** - 如果 `padding` 不是int或Sequence[int]类型。 - **TypeError** - 如果 `pad_if_needed` 不是bool类型。 - - **TypeError** - 如果 `fill_value` 不是int或Sequence[int]类型。 + - **TypeError** - 如果 `fill_value` 不是int或Tuple[int]类型。 - **TypeError** - 如果 `padding_mode` 不是 :class:`mindspore.dataset.vision.Border` 的类型。 - **ValueError** - 如果 `size` 不是正数。 - **ValueError** - 如果 `padding` 为负数。 diff --git a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomCropWithBBox.rst b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomCropWithBBox.rst index e96c5d87f5..60073442a5 100644 --- a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomCropWithBBox.rst +++ b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomCropWithBBox.rst @@ -32,7 +32,7 @@ mindspore.dataset.vision.c_transforms.RandomCropWithBBox - **TypeError** - 如果 `size` 不是int或Sequence[int]类型。 - **TypeError** - 如果 `padding` 不是int或Sequence[int]类型。 - **TypeError** - 如果 `pad_if_needed` 不是bool类型。 - - **TypeError** - 如果 `fill_value` 不是int或Sequence[int]类型。 + - **TypeError** - 如果 `fill_value` 不是int或Tuple[int]类型。 - **TypeError** - 如果 `padding_mode` 不是 :class:`mindspore.dataset.vision.Border` 的类型。 - **ValueError** - 如果 `size` 不是正数。 - **ValueError** - 如果 `padding` 为负数。 diff --git a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomHorizontalFlip.rst b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomHorizontalFlip.rst index 1c56675a5d..3db9e8e53b 100644 --- a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomHorizontalFlip.rst +++ b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomHorizontalFlip.rst @@ -5,6 +5,8 @@ mindspore.dataset.vision.c_transforms.RandomHorizontalFlip 对输入图像按给定的概率进行水平随机翻转。 + .. note:: 此操作支持通过 Offload 在 Ascend 或 GPU 平台上运行。 + **参数：** - **prob** (float, 可选) - 图像被翻转的概率，必须在 [0, 1] 范围内, 默认值：0.5。 diff --git a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomPosterize.rst b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomPosterize.rst index b64c14fd91..be657d4ac2 100644 --- a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomPosterize.rst +++ b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomPosterize.rst @@ -3,7 +3,7 @@ mindspore.dataset.vision.c_transforms.RandomPosterize .. py:class:: mindspore.dataset.vision.c_transforms.RandomPosterize(bits=(8, 8)) - 随机减少输入图像每个RGB通道的位数。 + 随机减少输入图像每个颜色通道的位数。 **参数：** diff --git a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomSharpness.rst b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomSharpness.rst index d8ffb2c5a4..2e3e82290b 100644 --- a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomSharpness.rst +++ b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomSharpness.rst @@ -5,6 +5,8 @@ mindspore.dataset.vision.c_transforms.RandomSharpness 在固定或随机的范围调整输入图像的锐度。度数为0.0时将返回模糊图像；度数为1.0时将返回原始图像；度数为2.0时将返回锐化图像。 + .. note:: 此操作支持通过 Offload 在 Ascend 或 GPU 平台上运行。 + **参数：** - **degrees** (Union[list, tuple], 可选) - 锐度调整度的随机选取范围，按照(min, max)顺序排列。如果min与max相等，那么它是一个单一的固定锐度调整操作，默认值：(0.1, 1.9)。 diff --git a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomVerticalFlip.rst b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomVerticalFlip.rst index 93bbe59f62..ed0cdbeb43 100644 --- a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomVerticalFlip.rst +++ b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.RandomVerticalFlip.rst @@ -5,6 +5,8 @@ mindspore.dataset.vision.c_transforms.RandomVerticalFlip 以给定的概率对输入图像在垂直方向进行随机翻转。 + .. note:: 此操作支持通过 Offload 在 Ascend 或 GPU 平台上运行。 + **参数：** - **prob** (float, 可选) - 图像被翻转的概率，默认值：0.5。 diff --git a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.Rescale.rst b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.Rescale.rst index c94084c5a4..382cf7e745 100644 --- a/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.Rescale.rst +++ b/docs/api/api_python/dataset_vision/mindspore.dataset.vision.c_transforms.Rescale.rst @@ -5,6 +5,8 @@ mindspore.dataset.vision.c_transforms.Rescale 基于给定的缩放和平移因子调整图像的尺寸大小。输出图像的尺寸大小为：output = image * rescale + shift。 + .. note:: 此操作支持通过 Offload 在 Ascend 或 GPU 平台上运行。 + **参数：** - **rescale** (float) - 缩放因子。 diff --git a/mindspore/python/mindspore/dataset/vision/c_transforms.py b/mindspore/python/mindspore/dataset/vision/c_transforms.py index 567c3199aa..d3a07229df 100644 --- a/mindspore/python/mindspore/dataset/vision/c_transforms.py +++ b/mindspore/python/mindspore/dataset/vision/c_transforms.py @@ -335,7 +335,7 @@ class CenterCrop(ImageTensorOperation): The size value(s) must be larger than 0. Raises: - TypeError: If `size` is not of type integer or sequence. + TypeError: If `size` is not of type int or sequence. ValueError: If `size` is less than or equal to 0. RuntimeError: If given tensor shape is not or . @@ -451,7 +451,7 @@ class Crop(ImageTensorOperation): Raises: TypeError: If `coordinates` is not of type sequence. - TypeError: If `size` is not of type integer or sequence. + TypeError: If `size` is not of type int or sequence. ValueError: If `coordinates` is less than 0. ValueError: If `size` is less than or equal to 0. RuntimeError: If given tensor shape is not or . @@ -530,8 +530,8 @@ class CutOut(ImageTensorOperation): num_patches (int, optional): Number of patches to be cut out of an image, must be larger than 0. (default=1). Raises: - TypeError: If `length` is not of type integer. - TypeError: If `num_patches` is not of type integer. + TypeError: If `length` is not of type int. + TypeError: If `num_patches` is not of type int. ValueError: If `length` is less than or equal 0. ValueError: If `num_patches` is less than or equal 0. RuntimeError: If given tensor shape is not . @@ -633,7 +633,7 @@ class GaussianBlur(ImageTensorOperation): is provided, the sigma will be calculated as ((kernel_size - 1) * 0.5 - 1) * 0.3 + 0.8. Raises: - TypeError: If `kernel_size` is not of type integer or sequence of integer. + TypeError: If `kernel_size` is not of type int or sequence of int. TypeError: If `sigma` is not of type float or sequence of float. ValueError: If `kernel_size` is not positive and odd. ValueError: If `sigma` is not positive. @@ -824,7 +824,7 @@ class NormalizePad(ImageTensorOperation): Raises: TypeError: If `mean` is not of type sequence. TypeError: If `std` is not of type sequence. - TypeError: If `dtype` is not of type string. + TypeError: If `dtype` is not of type str. ValueError: If `mean` is not in range [0.0, 255.0]. ValueError: If `std` is not in range (0.0, 255.0]. RuntimeError: If given tensor shape is not . @@ -881,8 +881,8 @@ class Pad(ImageTensorOperation): value of edge. Raises: - TypeError: If `padding` is not of type integer or sequence of integer. - TypeError: If `fill_value` is not of type integer or tuple of integer. + TypeError: If `padding` is not of type int or sequence of int. + TypeError: If `fill_value` is not of type int or tuple of int. TypeError: If `padding_mode` is not of type :class:`mindspore.dataset.vision.Border`. ValueError: If `padding` is negative. ValueError: If `fill_value` is not in range [0, 255]. @@ -987,12 +987,12 @@ class RandomAffine(ImageTensorOperation): (default=0, filling is performed). Raises: - TypeError: If `degrees` is not of type integer, float or sequence. + TypeError: If `degrees` is not of type int, float or sequence. TypeError: If `translate` is not of type sequence. TypeError: If `scale` is not of type sequence. - TypeError: If `shear` is not of type integer, float or sequence. + TypeError: If `shear` is not of type int, float or sequence. TypeError: If `resample` is not of type :class:`mindspore.dataset.vision.Inter`. - TypeError: If `fill_value` is not of type integer or tuple of integer. + TypeError: If `fill_value` is not of type int or tuple of int. ValueError: If `degrees` is negative. ValueError: If `translate` is not in range [-1.0, 1.0]. ValueError: If `scale` is negative. @@ -1070,7 +1070,7 @@ class RandomAutoContrast(ImageTensorOperation): Raises: TypeError: If `cutoff` is not of type float. - TypeError: If `ignore` is not of type integer or sequence of integer. + TypeError: If `ignore` is not of type int or sequence of int. TypeError: If `prob` is not of type float. ValueError: If `cutoff` is not in range [0.0, 50.0). ValueError: If `ignore` is not in range [0, 255]. @@ -1246,10 +1246,10 @@ class RandomCrop(ImageTensorOperation): value of edge. Raises: - TypeError: If `size` is not of type integer or sequence of integer. - TypeError: If `padding` is not of type integer or sequence of integer. + TypeError: If `size` is not of type int or sequence of int. + TypeError: If `padding` is not of type int or sequence of int. TypeError: If `pad_if_needed` is not of type boolean. - TypeError: If `fill_value` is not of type integer or sequence of integer. + TypeError: If `fill_value` is not of type int or tuple of int. TypeError: If `padding_mode` is not of type :class:`mindspore.dataset.vision.Border`. ValueError: If `size` is not positive. ValueError: If `padding` is negative. @@ -1321,11 +1321,11 @@ class RandomCropDecodeResize(ImageTensorOperation): If exceeded, fall back to use center_crop instead. The max_attempts value must be positive. Raises: - TypeError: If `size` is not of type integer or sequence of integer. + TypeError: If `size` is not of type int or sequence of int. TypeError: If `scale` is not of type tuple or list. TypeError: If `ratio` is not of type tuple or list. TypeError: If `interpolation` is not of type :class:`mindspore.dataset.vision.Inter`. - TypeError: If `max_attempts` is not of type integer. + TypeError: If `max_attempts` is not of type int. ValueError: If `size` is not positive. ValueError: If `scale` is negative. ValueError: If `ratio` is negative. @@ -1407,10 +1407,10 @@ class RandomCropWithBBox(ImageTensorOperation): value of edge. Raises: - TypeError: If `size` is not of type integer or sequence of integer. - TypeError: If `padding` is not of type integer or sequence of integer. + TypeError: If `size` is not of type int or sequence of int. + TypeError: If `padding` is not of type int or sequence of int. TypeError: If `pad_if_needed` is not of type boolean. - TypeError: If `fill_value` is not of type integer or sequence of integer. + TypeError: If `fill_value` is not of type int or tuple of int. TypeError: If `padding_mode` is not of type :class:`mindspore.dataset.vision.Border`. ValueError: If `size` is not positive. ValueError: If `padding` is negative. @@ -1604,7 +1604,7 @@ class RandomLighting(ImageTensorOperation): class RandomPosterize(ImageTensorOperation): """ - Reduce the number of bits for each RGB channel to posterize the input image randomly with a given probability. + Reduce the number of bits for each color channel to posterize the input image randomly with a given probability. Args: bits (Union[int, Sequence[int]], optional): Range of random posterize to compress image. @@ -1614,7 +1614,7 @@ class RandomPosterize(ImageTensorOperation): magnitude operation (default=(8, 8)). Raises: - TypeError: If `bits` is not of type integer or sequence of integer. + TypeError: If `bits` is not of type int or sequence of int. ValueError: If `bits` is not in range [1, 8]. RuntimeError: If given tensor shape is not or . @@ -1671,11 +1671,11 @@ class RandomResizedCrop(ImageTensorOperation): crop_area (default=10). If exceeded, fall back to use center_crop instead. Raises: - TypeError: If `size` is not of type integer or sequence of integer. + TypeError: If `size` is not of type int or sequence of int. TypeError: If `scale` is not of type tuple or list. TypeError: If `ratio` is not of type tuple or list. TypeError: If `interpolation` is not of type :class:`mindspore.dataset.vision.Inter`. - TypeError: If `max_attempts` is not of type integer. + TypeError: If `max_attempts` is not of type int. ValueError: If `size` is not positive. ValueError: If `scale` is negative. ValueError: If `ratio` is negative. @@ -1736,11 +1736,11 @@ class RandomResizedCropWithBBox(ImageTensorOperation): crop area (default=10). If exceeded, fall back to use center crop instead. Raises: - TypeError: If `size` is not of type integer or sequence of integer. + TypeError: If `size` is not of type int or sequence of int. TypeError: If `scale` is not of type tuple or list. TypeError: If `ratio` is not of type tuple or list. - TypeError: If `interpolation` is not of type Inter. - TypeError: If `max_attempts` is not of type integer. + TypeError: If `interpolation` is not of type :class:`mindspore.dataset.vision.Inter`. + TypeError: If `max_attempts` is not of type int. ValueError: If `size` is not positive. ValueError: If `scale` is negative. ValueError: If `ratio` is negative. @@ -1785,7 +1785,7 @@ class RandomResize(ImageTensorOperation): If size is a sequence of length 2, an image of size (height, width) will be cropped. Raises: - TypeError: If `size` is not of type integer or sequence of integer. + TypeError: If `size` is not of type int or sequence of int. ValueError: If `size` is not positive. RuntimeError: If given tensor shape is not or . @@ -1825,7 +1825,7 @@ class RandomResizeWithBBox(ImageTensorOperation): If size is a sequence of length 2, an image of size (height, width) will be cropped. Raises: - TypeError: If `size` is not of type integer or sequence of integer. + TypeError: If `size` is not of type int or sequence of int. ValueError: If `size` is not positive. RuntimeError: If given tensor shape is not or . @@ -1883,11 +1883,11 @@ class RandomRotation(ImageTensorOperation): The fill_value values must be in range [0, 255] (default=0). Raises: - TypeError: If `degrees` is not of type integer, float or sequence. - TypeError: If `resample` is not of type Inter. + TypeError: If `degrees` is not of type int, float or sequence. + TypeError: If `resample` is not of type :class:`mindspore.dataset.vision.Inter`. TypeError: If `expand` is not of type boolean. TypeError: If `center` is not of type tuple. - TypeError: If `fill_value` is not of type integer or tuple of integer. + TypeError: If `fill_value` is not of type int or tuple of int. ValueError: If `fill_value` is not in range [0, 255]. RuntimeError: If given tensor shape is not or . @@ -2160,8 +2160,8 @@ class Resize(ImageTensorOperation): should be in 3 channels format. Raises: - TypeError: If `size` is not of type integer or sequence of integer. - TypeError: If `interpolation` is not of type Inter. + TypeError: If `size` is not of type int or sequence of int. + TypeError: If `interpolation` is not of type :class:`mindspore.dataset.vision.Inter`. ValueError: If `size` is not positive. RuntimeError: If given tensor shape is not or . @@ -2207,8 +2207,8 @@ class ResizeWithBBox(ImageTensorOperation): - Inter.BICUBIC, means interpolation method is bicubic interpolation. Raises: - TypeError: If `size` is not of type integer or sequence of integer. - TypeError: If `interpolation` is not of type Inter. + TypeError: If `size` is not of type int or sequence of int. + TypeError: If `interpolation` is not of type :class:`mindspore.dataset.vision.Inter`. ValueError: If `size` is not positive. RuntimeError: If given tensor shape is not or . @@ -2286,11 +2286,11 @@ class Rotate(ImageTensorOperation): The fill_value values must be in range [0, 255] (default=0). Raises: - TypeError: If `degrees` is not of type integer or float. - TypeError: If `resample` is not of type Inter. + TypeError: If `degrees` is not of type int or float. + TypeError: If `resample` is not of type :class:`mindspore.dataset.vision.Inter`. TypeError: If `expand` is not of type bool. TypeError: If `center` is not of type tuple. - TypeError: If `fill_value` is not of type integer or tuple of integer. + TypeError: If `fill_value` is not of type int or tuple of int. ValueError: If `fill_value` is not in range [0, 255]. RuntimeError: If given tensor shape is not or . @@ -2344,10 +2344,10 @@ class SlicePatches(ImageTensorOperation): The fill_value must be in range [0, 255] (default=0). Raises: - TypeError: If `num_height` is not of type integer. - TypeError: If `num_width` is not of type integer. - TypeError: If `slice_mode` is not of type Inter. - TypeError: If `fill_value` is not of type integer. + TypeError: If `num_height` is not of type int. + TypeError: If `num_width` is not of type int. + TypeError: If `slice_mode` is not of type :class:`mindspore.dataset.vision.Inter`. + TypeError: If `fill_value` is not of type int. ValueError: If `num_height` is not positive. ValueError: If `num_width` is not positive. ValueError: If `fill_value` is not in range [0, 255]. @@ -2401,10 +2401,10 @@ class SoftDvppDecodeRandomCropResizeJpeg(ImageTensorOperation): If exceeded, fall back to use center_crop instead. The max_attempts value must be positive. Raises: - TypeError: If `size` is not of type integer or sequence of integer. + TypeError: If `size` is not of type int or sequence of int. TypeError: If `scale` is not of type tuple or list. TypeError: If `ratio` is not of type tuple or list. - TypeError: If `max_attempts` is not of type integer. + TypeError: If `max_attempts` is not of type int. ValueError: If `size` is not positive. ValueError: If `scale` is negative. ValueError: If `ratio` is negative. @@ -2457,7 +2457,7 @@ class SoftDvppDecodeResizeJpeg(ImageTensorOperation): If size is a sequence of length 2, an image of size (height, width) will be cropped. Raises: - TypeError: If `size` is not of type integer or sequence of integer. + TypeError: If `size` is not of type int or sequence of int. ValueError: If `size` is not positive. RuntimeError: If given tensor is not a 1D sequence. @@ -2497,7 +2497,7 @@ class UniformAugment(ImageTensorOperation): Raises: TypeError: If `transform` is not an image processing operation in :class:`mindspore.dataset.vision.c_transforms`. - TypeError: If `num_ops` is not of type integer. + TypeError: If `num_ops` is not of type int. ValueError: If `num_ops` is not positive. Supported Platforms: