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Bug 1772 - Tensor .select() with mixed tensor/scalar arguments
Summary: Tensor .select() with mixed tensor/scalar arguments
Status: CONFIRMED
Alias: None
Product: Eigen
Classification: Unclassified
Component: Tensor (show other bugs)
Version: 3.4 (development)
Hardware: All All
: Normal Feature Request
Assignee: Nobody
URL:
Whiteboard:
Keywords:
Depends on:
Blocks:
 
Reported: 2019-11-05 14:24 UTC by Tobias Wood
Modified: 2019-12-04 18:54 UTC (History)
4 users (show)



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Description Tobias Wood 2019-11-05 14:24:36 UTC
As discussed on the mailing list, the following program does not compile:

#include <unsupported/Eigen/CXX11/Tensor>

int main(const int argc, const char *const argv[])
{
  Eigen::Tensor<float, 2> ft_A(2, 4), ft_B(2, 4), ft_result(2, 4);
  ft_A.setRandom();
  ft_B.setZero();
  ft_result = (ft_A < 0.5f).select(ft_A, ft_B);
  ft_result = (ft_A < 0.5f).select(ft_A, 0.f);
}

The first call to ft_result compiles fine, but the second does not because the second argument is a scalar.

Further notes from Christoph:

Your code works fine with `Eigen::ArrayXXf` instead of
`Eigen::Tensor<float,2>`, so making this work for Tensor as well would
not be a bad idea. Feel free to open a bug for that.

As a workaround, you can write:

     ft_result = (ft_A < 0.5f).select(ft_A, ft_A.constant(0.0f));

This is also inconsistent with the Array-API, where you would need to
write (instead of `ft_A.constant(0.0f)`):
      ArrayXXf::Constant(0.0f, ft_A.rows(), ft_A.cols());
Comment 1 Nobody 2019-12-04 18:54:10 UTC
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