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Fix docs build.

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Antonio Sánchez 2025-07-02 22:10:33 +00:00
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unsupported/Eigen/CXX11/src/Tensor/README.md
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@ -92,7 +92,7 @@ TensorMap<Tensor<float, 1>> t_12(t_4x3.data(), 12);
#### Class TensorRef
See [Assigning to a TensorRef.](#assigning-to-a-tensorref)
See **Assigning to a `TensorRef`**.
## Accessing Tensor Elements
@ -602,8 +602,8 @@ std::cout << "Size: " << a.size();
A few operations provide `dimensions()` directly,
e.g. `TensorReslicingOp`. Most operations defer calculating dimensions
until the operation is being evaluated. If you need access to the dimensions
of a deferred operation, you can wrap it in a TensorRef (see
[Assigning to a TensorRef.](#assigning-to-a-tensorref)), which provides
of a deferred operation, you can wrap it in a `TensorRef` (see
**Assigning to a TensorRef** above), which provides
`dimensions()` and `dimension()` as above.
`TensorRef` can also wrap the plain `Tensor` types, so this is a useful idiom in
@ -848,7 +848,7 @@ These can be chained: you can apply another `Tensor` Operation to the value
returned by the method.
The chain of Operation is evaluated lazily, typically when it is assigned to a
tensor. See [Controlling When Expression are Evaluated](#controlling-when-expression-are-evaluated) for more details about
tensor. See **Controlling When Expression are Evaluated** for more details about
their evaluation.
### (Operation) constant(const Scalar& val)
@ -858,7 +858,7 @@ where all elements have the value `val`.
This is useful, for example, when you want to add or subtract a constant from a
tensor, or multiply every element of a tensor by a scalar.
However, such operations can also be performed using operator overloads (see [operator+](#operation-operator-scalar-s)).
However, such operations can also be performed using operator overloads (see `operator+`).
```cpp
@ -1049,7 +1049,7 @@ Divides every element in the tensor by `s`.
Computes the element-wise modulus (remainder) of each tensor element divided by `s`
**Only integer types are supported.**
For floating-point tensors, implement a [unaryExpr](#operation-unaryexprcustomunaryop-func) using `std::fmod`.
For floating-point tensors, implement a `unaryExpr` using `std::fmod`.
### (Operation) cwiseMax(Scalar threshold)
Returns the coefficient-wise maximum between two tensors.
@ -1448,7 +1448,7 @@ std::cout << "Flat argmax index: " << argmax_flat();
### (Operation) argmin(const Dimensions& reduction_dim)
### (Operation) argmin()
See [argmax](#operation-argmaxconst-dimensions-reduction_dim)
See `argmax`.
### (Operation) reduce(const Dimensions& reduction_dims, const Reducer& reducer)
@ -2277,7 +2277,7 @@ std::cout << "b\n" << b << "\n";
```
### (Operation) eval()
See [Calling eval()](#calling-eval)
See **Calling eval()**.
@ -2340,7 +2340,7 @@ For example `Tensor<T, N>::maximum()` returns a `Tensor<T, 0>`.
Similarly, the inner product of 2 1d tensors (through contractions) returns a 0d tensor.
The scalar value can be extracted as explained in [Reduction along all dimensions](#reduction-along-all-dimensions).
The scalar value can be extracted as explained in **Reduction along all dimensions**.
## Limitations