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new 9ab0d2b Update conv_layers.py documentation (#11082)
9ab0d2b is described below
commit 9ab0d2bebea7f1b65e395f427bd3388c568de934
Author: Thomas Delteil <thomas.delte...@gmail.com>
AuthorDate: Tue May 29 10:26:39 2018 -0700
Update conv_layers.py documentation (#11082)
* Update conv_layers.py
* Update conv_layers.py
* Update conv_layers.py
---
python/mxnet/gluon/nn/conv_layers.py | 36 ++++++++++++++++++++++++------------
1 file changed, 24 insertions(+), 12 deletions(-)
diff --git a/python/mxnet/gluon/nn/conv_layers.py
b/python/mxnet/gluon/nn/conv_layers.py
index 7b4a6be..2fbf7d8 100644
--- a/python/mxnet/gluon/nn/conv_layers.py
+++ b/python/mxnet/gluon/nn/conv_layers.py
@@ -420,15 +420,19 @@ class Conv1DTranspose(_Conv):
channels : int
The dimensionality of the output space, i.e. the number of output
channels (filters) in the convolution.
- kernel_size :int or tuple/list of 3 int
+ kernel_size :int or tuple/list of 1 int
Specifies the dimensions of the convolution window.
- strides : int or tuple/list of 3 int,
+ strides : int or tuple/list of 1 int
Specify the strides of the convolution.
- padding : int or a tuple/list of 3 int,
+ padding : int or a tuple/list of 1 int,
If padding is non-zero, then the input is implicitly zero-padded
on both sides for padding number of points
- dilation : int or tuple/list of 3 int
- Specifies the dilation rate to use for dilated convolution.
+ output_padding: int or a tuple/list of 1 int
+ Controls the amount of implicit zero-paddings on both sides of the
+ output for output_padding number of points for each dimension.
+ dilation : int or tuple/list of 1 int
+ Controls the spacing between the kernel points; also known as the
+ a trous algorithm
groups : int
Controls the connections between inputs and outputs.
At groups=1, all inputs are convolved to all outputs.
@@ -503,15 +507,19 @@ class Conv2DTranspose(_Conv):
channels : int
The dimensionality of the output space, i.e. the number of output
channels (filters) in the convolution.
- kernel_size :int or tuple/list of 3 int
+ kernel_size :int or tuple/list of 2 int
Specifies the dimensions of the convolution window.
- strides : int or tuple/list of 3 int,
+ strides : int or tuple/list of 2 int
Specify the strides of the convolution.
- padding : int or a tuple/list of 3 int,
+ padding : int or a tuple/list of 2 int,
If padding is non-zero, then the input is implicitly zero-padded
on both sides for padding number of points
- dilation : int or tuple/list of 3 int
- Specifies the dilation rate to use for dilated convolution.
+ output_padding: int or a tuple/list of 2 int
+ Controls the amount of implicit zero-paddings on both sides of the
+ output for output_padding number of points for each dimension.
+ dilation : int or tuple/list of 2 int
+ Controls the spacing between the kernel points; also known as the
+ a trous algorithm
groups : int
Controls the connections between inputs and outputs.
At groups=1, all inputs are convolved to all outputs.
@@ -593,13 +601,17 @@ class Conv3DTranspose(_Conv):
channels (filters) in the convolution.
kernel_size :int or tuple/list of 3 int
Specifies the dimensions of the convolution window.
- strides : int or tuple/list of 3 int,
+ strides : int or tuple/list of 3 int
Specify the strides of the convolution.
padding : int or a tuple/list of 3 int,
If padding is non-zero, then the input is implicitly zero-padded
on both sides for padding number of points
+ output_padding: int or a tuple/list of 3 int
+ Controls the amount of implicit zero-paddings on both sides of the
+ output for output_padding number of points for each dimension.
dilation : int or tuple/list of 3 int
- Specifies the dilation rate to use for dilated convolution.
+ Controls the spacing between the kernel points; also known as the
+ a trous algorithm.
groups : int
Controls the connections between inputs and outputs.
At groups=1, all inputs are convolved to all outputs.
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