未验证 提交 66fd1c00 编写于 作者: C Chen Long 提交者: GitHub

fix some docs test=develop;test=document_fix (#29374)

上级 5f84d0b3
...@@ -1115,7 +1115,7 @@ def conv3d(x, ...@@ -1115,7 +1115,7 @@ def conv3d(x,
Args: Args:
x (Tensor): The input is 5-D Tensor with shape [N, C, D, H, W], the data x (Tensor): The input is 5-D Tensor with shape [N, C, D, H, W], the data
type of input is float16 or float32 or float64. type of input is float16 or float32 or float64.
weight (Variable): The convolution kernel, a Tensor with shape [M, C/g, kD, kH, kW], weight (Tensor): The convolution kernel, a Tensor with shape [M, C/g, kD, kH, kW],
where M is the number of filters(output channels), g is the number of groups, where M is the number of filters(output channels), g is the number of groups,
kD, kH, kW are the filter's depth, height and width respectively. kD, kH, kW are the filter's depth, height and width respectively.
bias (Tensor, optional): The bias, a Tensor of shape [M, ]. bias (Tensor, optional): The bias, a Tensor of shape [M, ].
...@@ -1151,22 +1151,10 @@ def conv3d(x, ...@@ -1151,22 +1151,10 @@ def conv3d(x,
Returns: Returns:
A Tensor representing the conv3d, whose data type is A Tensor representing the conv3d, whose data type is
the same with input. If act is None, the tensor variable storing the the same with input. If act is None, the tensor storing the
convolution result, and if act is not None, the tensor variable storing convolution result, and if act is not None, the tensor storing
convolution and non-linearity activation result. convolution and non-linearity activation result.
Raises:
ValueError: If `data_format` is not "NCDHW" or "NDHWC".
ValueError: If the channel dimension of the input is less than or equal to zero.
ValueError: If `padding` is a string, but not "SAME" or "VALID".
ValueError: If `padding` is a tuple, but the element corresponding to the input's batch size is not 0
or the element corresponding to the input's channel is not 0.
ShapeError: If the input is not 5-D Tensor.
ShapeError: If the input's dimension size and filter's dimension size not equal.
ShapeError: If the dimension size of input minus the size of `stride` is not 2.
ShapeError: If the number of input channels is not equal to filter's channels * groups.
ShapeError: If the number of output channels is not be divided by groups.
Examples: Examples:
.. code-block:: python .. code-block:: python
......
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册