[Mlir-commits] [mlir] 2b36288 - Fix relative links in Rationale docs following move to subfolder
Mehdi Amini
llvmlistbot at llvm.org
Sat Apr 18 21:47:45 PDT 2020
Author: Mehdi Amini
Date: 2020-04-19T04:47:15Z
New Revision: 2b36288f4564234bb7e00a3e3818b3b87025687c
URL: https://github.com/llvm/llvm-project/commit/2b36288f4564234bb7e00a3e3818b3b87025687c
DIFF: https://github.com/llvm/llvm-project/commit/2b36288f4564234bb7e00a3e3818b3b87025687c.diff
LOG: Fix relative links in Rationale docs following move to subfolder
Added:
Modified:
mlir/docs/Rationale/Rationale.md
Removed:
################################################################################
diff --git a/mlir/docs/Rationale/Rationale.md b/mlir/docs/Rationale/Rationale.md
index e76bae7bb645..7c08a71940d1 100644
--- a/mlir/docs/Rationale/Rationale.md
+++ b/mlir/docs/Rationale/Rationale.md
@@ -24,7 +24,7 @@ high performance target specific code.
MLIR stands for one of "Multi-Level IR" or "Multi-dimensional Loop IR" or
"Machine Learning IR" or "Mid Level IR", we prefer the first. This document only
provides the rationale behind MLIR -- its actual
-[specification document](LangRef.md) and other content is hosted elsewhere.
+[specification document](../LangRef.md) and other content is hosted elsewhere.
## Introduction and Motivation
@@ -113,10 +113,10 @@ n-ranked tensor. This disallows the equivalent of pointer arithmetic or the
ability to index into the same memref in other ways (something which C arrays
allow for example). Furthermore, for the affine constructs, the compiler can
follow use-def chains (e.g. through
-[affine.apply operations](Dialects/Affine.md#affineapply-operation)) or through
-the map attributes of [affine operations](Dialects/Affine.md#Operations)) to
+[affine.apply operations](../Dialects/Affine.md#affineapply-operation)) or through
+the map attributes of [affine operations](../Dialects/Affine.md#Operations)) to
precisely analyze references at compile-time using polyhedral techniques. This
-is possible because of the [restrictions on dimensions and symbols](Dialects/Affine.md#restrictions-on-dimensions-and-symbols).
+is possible because of the [restrictions on dimensions and symbols](../Dialects/Affine.md#restrictions-on-dimensions-and-symbols).
A scalar of element-type (a primitive type or a vector type) that is stored in
memory is modeled as a 0-d memref. This is also necessary for scalars that are
@@ -167,7 +167,7 @@ change.
### Block Arguments vs PHI nodes
-MLIR Regions represent SSA using "[block arguments](LangRef.md#blocks)" rather
+MLIR Regions represent SSA using "[block arguments](../LangRef.md#blocks)" rather
than [PHI instructions](http://llvm.org/docs/LangRef.html#i-phi) used in LLVM.
This choice is representationally identical (the same constructs can be
represented in either form) but block arguments have several advantages:
@@ -559,12 +559,12 @@ systems, e.g. LLVM, are likely to provide wrappers around their existing type
systems. For these wrapper types there is no simple canonical name, it's logical
to think of these types as existing within the namespace of the dialect. If a
dialect wishes to assign a canonical name to a type, it can be done via
-[type aliases](LangRef.md#type-aliases).
+[type aliases](../LangRef.md#type-aliases).
### Tuple types
The MLIR type system provides first class support for defining
-[tuple types](LangRef.md#tuple-type). This is due to the fact that `Tuple`
+[tuple types](../LangRef.md#tuple-type). This is due to the fact that `Tuple`
represents a universal concept that is likely to, and has already begun to,
present itself in many
diff erent dialects. Though this type is first class in
the type system, it merely serves to provide a common mechanism in which to
@@ -654,7 +654,7 @@ func @search_body(%A: memref<?x?xi32>, %S: memref<?xi32>, %key: i32, %i : i32) {
}
```
-As per the [MLIR spec](LangRef.md), the restrictions on dimensions and symbol
+As per the [MLIR spec](../LangRef.md), the restrictions on dimensions and symbol
identifiers to be used with the affine.apply operation only apply to accesses
inside `affine.for` and `affine.if` operations. However, an analysis of accesses
inside the called function (`@search_body`) is necessary to determine if the
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