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@ -12,8 +12,8 @@ mindspore.ops.Conv2DTranspose
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- **pad** (Union[int, tuple[int]]) - 指定要填充的填充值。默认值:0。如果 `pad` 是整数,则顶部、底部、左侧和右侧的填充都等于 `pad` 。如果 `pad` 是四个整数的tuple,则顶部、底部、左侧和右侧的填充分别等于pad[0]、pad[1]、pad[2]和pad[3]。
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- **pad_list** (Union[str, None]) - 卷积填充方式,如(顶部、底部、左、右)。默认值:None,表示不使用此参数。
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- **mode** (int) - 指定不同的卷积模式。当前未使用该值。默认值:1。
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- **stride** (Union[int. tuple[int]]) - 卷积核移动的步长。默认值:1。
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- **dilation** (Union[int. tuple[int]]) - 卷积核膨胀尺寸。默认值:1。
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- **stride** (Union[int, tuple[int]]) - 卷积核移动的步长。默认值:1。
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- **dilation** (Union[int, tuple[int]]) - 卷积核膨胀尺寸。默认值:1。
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- **group** (int) - 将过滤器拆分为组。默认值:1。
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- **data_format** (str) - 输入和输出的数据格式。它应该是'NHWC'或'NCHW',默认值是'NCHW'。
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@ -2586,8 +2586,8 @@ class Conv2DTranspose(Conv2DBackpropInput):
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padding of top, bottom, left and right equal to pad[0], pad[1], pad[2], and pad[3] correspondingly.
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pad_list (Union[str, None]): The pad list like (top, bottom, left, right). Default: None.
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mode (int): Modes for different convolutions. The value is currently not used. Default: 1.
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stride (Union[int. tuple[int]]): The stride to be applied to the convolution filter. Default: 1.
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dilation (Union[int. tuple[int]]): Specifies the dilation rate to be used for the dilated convolution.
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stride (Union[int, tuple[int]]): The stride to be applied to the convolution filter. Default: 1.
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dilation (Union[int, tuple[int]]): Specifies the dilation rate to be used for the dilated convolution.
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Default: 1.
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group (int): Splits input into groups. Default: 1.
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data_format (str): The format of input and output data. It should be 'NHWC' or 'NCHW',\
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