nnf_adaptive_max_pool2d: Adaptive_max_pool2d
In torch: Tensors and Neural Networks with 'GPU' Acceleration
nnf_adaptive_max_pool2d R Documentation
Adaptive_max_pool2d
Description
Applies a 2D adaptive max pooling over an input signal composed of
several input planes.
Usage
nnf_adaptive_max_pool2d(input, output_size, return_indices = FALSE)
Arguments
input
input tensor (minibatch, in_channels , iH , iW)
output_size
the target output size (single integer or double-integer tuple)
return_indices
whether to return pooling indices. Default: FALSE
torch documentation built on May 29, 2024, 9:54 a.m.
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| nnf_adaptive_max_pool2d | R Documentation |
Adaptive_max_pool2d
Description
Applies a 2D adaptive max pooling over an input signal composed of several input planes.
Usage
nnf_adaptive_max_pool2d(input, output_size, return_indices = FALSE)
Arguments
input |
input tensor (minibatch, in_channels , iH , iW) |
output_size |
the target output size (single integer or double-integer tuple) |
return_indices |
whether to return pooling indices. Default: |
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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