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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-11-24 12:31:43 -0800
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-11-24 12:31:43 -0800
commit7ad37606dd256f049060aa3cc535a04b924c35c8 (patch)
tree5d71ad517b4479f8f1e4299e8aee62b2b60c1397 /unsupported/Eigen/CXX11/src/Tensor/README.md
parent3be1afca114532f69e1d58c2a7232f05ab44b9a0 (diff)
Fixed the documentation of Scalar Tensors
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--- a/unsupported/Eigen/CXX11/src/Tensor/README.md
+++ b/unsupported/Eigen/CXX11/src/Tensor/README.md
@@ -1737,11 +1737,9 @@ TODO
## Representation of scalar values
-Scalar values are often represented by tensors of size 1 and rank 1. It would be
-more logical and user friendly to use tensors of rank 0 instead. For example
-Tensor<T, N>::maximum() currently returns a Tensor<T, 1>. Similarly, the inner
-product of 2 1d tensors (through contractions) returns a 1d tensor. In the
-future these operations might be updated to return 0d tensors instead.
+Scalar values are often represented by tensors of size 1 and rank 0.For example
+Tensor<T, N>::maximum() currently returns a Tensor<T, 0>. Similarly, the inner
+product of 2 1d tensors (through contractions) returns a 0d tensor.
## Limitations