Fix docs build.
diff --git a/unsupported/Eigen/CXX11/src/Tensor/README.md b/unsupported/Eigen/CXX11/src/Tensor/README.md
index 3df1516..45a9454 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/README.md
+++ b/unsupported/Eigen/CXX11/src/Tensor/README.md
@@ -92,7 +92,7 @@
#### Class TensorRef
-See [Assigning to a TensorRef.](#assigning-to-a-tensorref)
+See **Assigning to a `TensorRef`**.
## Accessing Tensor Elements
@@ -602,8 +602,8 @@
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
@@ -635,7 +635,7 @@
Eigen::TensorFixedSize<float, Sizes<3, 4>> a;
std::cout << "Rank: " << a.rank() << endl;
// Rank: 2
-std::cout << "NumRows: " << a.dimension(0)
+std::cout << "NumRows: " << a.dimension(0)
<< " NumCols: " << a.dimension(1) << endl;
// NumRows: 3 NumCols: 4
```
@@ -848,7 +848,7 @@
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 @@
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
@@ -927,7 +927,7 @@
// a
// 1 1 1
// 1 1 1
-//
+//
// b
// -1 -1 -1
// -1 -1 -1
@@ -1010,7 +1010,7 @@
// a
// 0 1 8
// 27 64 125
-//
+//
// b
// 0 1 2
// 3 4 5
@@ -1031,7 +1031,7 @@
// a
// 1 2 3
// 4 5 6
-//
+//
// scaled_a
// 2 4 6
// 8 10 12
@@ -1048,8 +1048,8 @@
### (Operation) operator% (Scalar 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`.
+**Only integer types are supported.**
+For floating-point tensors, implement a `unaryExpr` using `std::fmod`.
### (Operation) cwiseMax(Scalar threshold)
Returns the coefficient-wise maximum between two tensors.
@@ -1203,10 +1203,10 @@
* `operator>=(const OtherDerived& other)`
* `operator==(const OtherDerived& other)`
* `operator!=(const OtherDerived& other)`
-
+
as well as bitwise operators:
- * `operator&(const OtherDerived& other)`
+ * `operator&(const OtherDerived& other)`
* `operator|(const OtherDerived& other)`
* `operator^(const OtherDerived& other)`
@@ -1448,7 +1448,7 @@
### (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)
@@ -1953,7 +1953,7 @@
### (Operation) roll(const Rolls& shifts)
-Returns a tensor with the elements **circularly shifted** (like bit rotation) along one or more dimensions.
+Returns a tensor with the elements **circularly shifted** (like bit rotation) along one or more dimensions.
For each dimension `i`, the content is shifted by `shifts[i]` positions:
@@ -2277,7 +2277,7 @@
```
### (Operation) eval()
-See [Calling eval()](#calling-eval)
+See **Calling eval()**.
@@ -2340,7 +2340,7 @@
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
@@ -2349,4 +2349,4 @@
compiler that supports cxx11. It is limited to only 5 for older compilers.
* The `IndexList` class requires a cxx11 compliant compiler. You can use an
array of indices instead if you don't have access to a modern compiler.
-* On GPUs only floating point values are properly tested and optimized for.
\ No newline at end of file
+* On GPUs only floating point values are properly tested and optimized for.
