Class that specifies parameters of the 2D transposed convolution layer.
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◆ TransposedConv2dParameter() [1/2]
- Parameters
-
context | Context to manage the parameter |
◆ TransposedConv2dParameter() [2/2]
Constructs parameter from C++ parameter
- Parameters
-
context | Context to manage the parameter |
cObject | Address of C++ parameter |
◆ getGroupDimension()
long getGroupDimension |
( |
| ) |
|
Gets the index of the dimension for which the grouping is applied
- Returns
- TransposedConv2dIndex of the dimension for which the grouping is applied
◆ getIndices()
Gets the data structure representing the dimension for convolution kernels
- Returns
- Data structure representing the dimension for convolution kernels
◆ getKernelSize()
Gets the data structure representing the sizes of the two-dimensional kernel subtensor
- Returns
- Data structure representing the sizes of the two-dimensional kernel subtensor
◆ getNGroups()
Gets the number of groups which the input data is split in groupDimension dimension
- Returns
- Number of groups which the input data is split in groupDimension dimension
◆ getNKernels()
Gets the number of kernels applied to the input layer data
- Returns
- Number of kernels applied to the input layer data
◆ getPadding()
Gets the data structure representing the number of data elements to implicitly add to each side of the 2D subtensor on which convolution is performed
- Returns
- Data structure representing the number of data elements to implicitly add to each side of the 2D subtensor on which convolution is performed
◆ getStride()
Gets the data structure representing the intervals on which the kernel should be applied to the input
- Returns
- Data structure representing the intervals on which the kernel should be applied to the input
◆ getValueSizes()
Gets the data structure representing the sizes of the value tensor
- Returns
- Data structure representing the sizes of the value tensor
◆ setGroupDimension()
void setGroupDimension |
( |
long |
groupDimension | ) |
|
Sets the index of the dimension for which the grouping is applied
- Parameters
-
groupDimension | Dimension for which the grouping is applied |
◆ setIndices()
Sets the data structure representing the dimension for convolution kernels
- Parameters
-
sd | The data structure representing the dimension for convolution kernels |
◆ setKernelSize()
Sets the data structure representing the sizes of the two-dimensional kernel subtensor
- Parameters
-
kernelSize | The data structure representing the sizes of the two-dimensional kernel subtensor |
◆ setNGroups()
void setNGroups |
( |
long |
nGroups | ) |
|
Sets the number of groups which the input data is split in groupDimension dimension
- Parameters
-
nGroups | The number of groups which the input data is split in groupDimension dimension |
◆ setNKernels()
void setNKernels |
( |
long |
nKernels | ) |
|
Sets the number of kernels applied to the input layer data
- Parameters
-
nKernels | The number of kernels applied to the input layer data |
◆ setPadding()
Sets the data structure representing the number of data elements to implicitly add to each side of the 2D subtensor on which convolution is performed
- Parameters
-
padding | The data structure representing the number of data elements to implicitly add to each side of the 2D subtensor on which convolution is performed |
◆ setStride()
Sets the data structure representing the intervals on which the kernel should be applied to the input
- Parameters
-
str | The data structure representing the intervals on which the kernel should be applied to the input |
◆ setValueSizes()
Sets the data structure representing the sizes of the two-dimensional kernel subtensor
- Parameters
-
valueSizes | The data structure representing the sizes of the two-dimensional kernel subtensor |
The documentation for this class was generated from the following file:
- TransposedConv2dParameter.java