nnf_lp_pool2d: Lp_pool2d
In torch: Tensors and Neural Networks with 'GPU' Acceleration
nnf_lp_pool2d R Documentation
Lp_pool2d
Description
Applies a 2D power-average pooling over an input signal composed of
several input planes. If the sum of all inputs to the power of p is
zero, the gradient is set to zero as well.
Usage
nnf_lp_pool2d(input, norm_type, kernel_size, stride = NULL, ceil_mode = FALSE)
Arguments
input
the input tensor
norm_type
if inf than one gets max pooling if 0 you get sum pooling (
proportional to the avg pooling)
kernel_size
a single int, the size of the window
stride
a single int, the stride of the window. Default value is kernel_size
ceil_mode
when True, will use ceil instead of floor to compute the output shape
torch documentation built on May 29, 2024, 9:54 a.m.
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| nnf_lp_pool2d | R Documentation |
Lp_pool2d
Description
Applies a 2D power-average pooling over an input signal composed of
several input planes. If the sum of all inputs to the power of p is
zero, the gradient is set to zero as well.
Usage
nnf_lp_pool2d(input, norm_type, kernel_size, stride = NULL, ceil_mode = FALSE)
Arguments
input |
the input tensor |
norm_type |
if inf than one gets max pooling if 0 you get sum pooling ( proportional to the avg pooling) |
kernel_size |
a single int, the size of the window |
stride |
a single int, the stride of the window. Default value is kernel_size |
ceil_mode |
when True, will use ceil instead of floor to compute the output shape |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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