11 Commits

Author SHA1 Message Date
Nicolas Vasilache
4805e629c5 [MLIR] Use chainable ligthweight wrapper for AffineExpr
This CL argues that the builder API for AffineExpr should be used
with a lightweight wrapper that supports operators chaining.
This CL takes the ill-named AffineExprWrap and proposes a simple
set of operators with builtin constant simplifications.

This allows:
1. removing the getAddMulPureAffineExpr function;
2. avoiding concerns about constant vs non-constant simplifications
at **every call site**;
3. writing the mathematical expressions we want to write without unnecessary
obfuscations.

The points above represent pure technical debt that we don't want to carry on.
It is important to realize that this is not a mere convenience or "just sugar"
but reduction in cognitive overhead.

This thinking can be pushed significantly further, I have added some comments
with some basic ideas but we could make AffineMap, AffineApply and other
objects that use map applications more functional and value-based.

I am putting this out to get a first batch of reviews and see what people
think.

I think in my preferred design I would have the Builder directly return such
AffineExprPtr objects by value everywhere and avoid the boilerplate explicit
creations that I am doing by hand at this point.

Yes this AffineExprPtr would implicitly convert to AffineExpr* because that is
what it is.

PiperOrigin-RevId: 215641317
2019-03-29 13:22:07 -07:00
Uday Bondhugula
a7611790f8 Add misc builder convenience methods for AffineMap's, for statement's.
Use these methods to simplify existing code. Rename getConstantMap
getConstantAffineMap. Move declarations to group similar ones together.

PiperOrigin-RevId: 212814829
2019-03-29 13:13:15 -07:00
Uday Bondhugula
64812a56c7 Extend getConstantTripCount to deal with a larger subset of loop bounds; make loop
unroll/unroll-and-jam more powerful; add additional affine expr builder methods

- use previously added analysis/simplification to infer multiple of unroll
  factor trip counts, making loop unroll/unroll-and-jam more general.

- for loop unroll, support bounds that are single result affine map's with the
  same set of operands. For unknown loop bounds, loop unroll will now work as
  long as trip count can be determined to be a multiple of unroll factor.

- extend getConstantTripCount to deal with single result affine map's with the
  same operands. move it to mlir/Analysis/LoopAnalysis.cpp

- add additional builder utility methods for affine expr arithmetic
  (difference, mod/floordiv/ceildiv w.r.t postitive constant). simplify code to
  use the utility methods.

- move affine analysis routines to AffineAnalysis.cpp/.h from
  AffineStructures.cpp/.h.

- Rename LoopUnrollJam to LoopUnrollAndJam to match class name.

- add an additional simplification for simplifyFloorDiv, simplifyCeilDiv

- Rename AffineMap::getNumOperands() getNumInputs: an affine map by itself does
  not have operands. Operands are passed to it through affine_apply, from loop
  bounds/if condition's, etc., operands are stored in the latter.

This should be sufficiently powerful for now as far as unroll/unroll-and-jam go for TPU
code generation, and can move to other analyses/transformations.

Loop nests like these are now unrolled without any cleanup loop being generated.

  for %i = 1 to 100 {
    // unroll factor 4: no cleanup loop will be generated.
    for %j = (d0) -> (d0) (%i) to (d0) -> (5*d0 + 3) (%i) {
      %x = "foo"(%j) : (affineint) -> i32
    }
  }

  for %i = 1 to 100 {
    // unroll factor 4: no cleanup loop will be generated.
    for %j = (d0) -> (d0) (%i) to (d0) -> (d0 - d mod 4 - 1) (%i) {
      %y = "foo"(%j) : (affineint) -> i32
    }
  }

  for %i = 1 to 100 {
    for %j = (d0) -> (d0) (%i) to (d0) -> (d0 + 128) (%i) {
      %x = "foo"() : () -> i32
    }
  }

TODO(bondhugula): extend this to LoopUnrollAndJam as well in the next CL (with minor
changes).

PiperOrigin-RevId: 212661212
2019-03-29 13:13:00 -07:00
Uday Bondhugula
0122a99cbb Affine expression analysis and simplification.
Outside of IR/
- simplify a MutableAffineMap by flattening the affine expressions
- add a simplify affine expression pass that uses this analysis
- update the FlatAffineConstraints API (to be used in the next CL)

In IR:
- add isMultipleOf and getKnownGCD for AffineExpr, and make the in-IR
  simplication of simplifyMod simpler and more powerful.
- rename the AffineExpr visitor methods to distinguish b/w visiting and
  walking, and to simplify API names based on context.

The next CL will use some of these for the loop unrolling/unroll-jam to make
the detection for the need of cleanup loop powerful/non-trivial.

A future CL will finally move this simplification to FlatAffineConstraints to
make it more powerful. For eg., currently, even if a mod expr appearing in a
part of the expression tree can't be simplified, the whole thing won't be
simplified.

PiperOrigin-RevId: 211012256
2019-03-29 13:07:44 -07:00
Uday Bondhugula
6d242fcf4b Simplify affine binary op expression class hierarchy
- Drop sub-classing of affine binary op expressions.
- Drop affine expr op kind sub. Represent it as multiply by -1 and add. This
  will also be in line with the math form when we'll need to represent a system of
  linear equalities/inequalities: the negative number goes into the coefficient
  of an affine form. (For eg. x_1 + (-1)*x_2 + 3*x_3 + (-2) >= 0). The folding
  simplification will transparently deal with multiplying the -1 with any other
  constants. This also means we won't need to simplify a multiply expression
  like in x_1 + (-2)*x_2 to a subtract expression (x_1 - 2*x_2) for
  canonicalization/uniquing.
- When we print the IR, we will still pretty print to a subtract when possible.

PiperOrigin-RevId: 205298958
2019-03-29 12:36:46 -07:00
Uday Bondhugula
8bbdd04365 Rename isSymbolic to isSymbolicOrConstant to avoid confusion.
PiperOrigin-RevId: 205288794
2019-03-29 12:36:33 -07:00
Uday Bondhugula
b488a035aa Implement some simple affine expr canonicalization/simplification.
- fold constants when possible.
- for a mul expression, canonicalize to always keep the LHS as the
  constant/symbolic term, and similarly, the RHS for an add expression to keep
  it closer to the mathematical form. (Eg: f(x) = 3*x + 5)); other similar simplifications;
- verify binary op expressions at creation time.

TODO: we can completely drop AffineSubExpr, and instead use add and mul by -1.
This way something like x - 4 and -4 + x get canonicalized to x + -1 * 4
instead of being x - 4 and x + -4. (The other alternative if wanted to retain
AffineSubExpr would be to simplify x + -1*y to x - y and x + <neg number> to x
- <pos number>).
PiperOrigin-RevId: 204240258
2019-03-29 12:32:45 -07:00
Chris Lattner
d6c4c5dbb8 Add attributes and affine expr/map to the Builder, switch the parser over to
use it.

This also removes "operand" from the affine expr classes: it is unnecessary
verbosity and "operand" will mean something very specific for SSA stuff (we
will have an Operand type).

PiperOrigin-RevId: 203976504
2019-03-29 12:32:08 -07:00
Uday Bondhugula
fc46bcf51d Complete affine expr parsing support
- check for non-affine expressions
- handle negative numbers and negation of id's, expressions
- functions to check if a map is pure affine or semi-affine
- simplify/clean up affine map parsing code
- report more errors messages, more accurate error messages

PiperOrigin-RevId: 203773633
2019-03-29 12:31:03 -07:00
Uday Bondhugula
fdf7bc4e25 [WIP] Sketching IR and parsing support for affine maps, affine expressions
Run test case:

$ mlir-opt test/IR/parser-affine-map.mlir
test/IR/parser-affine-map.mlir:3:30: error: expect '(' at start of map range
#hello_world2 (i, j) [s0] -> i+s0, j)
                             ^

PiperOrigin-RevId: 202736856
2019-03-29 12:27:20 -07:00
MLIR Team
8901448f14 Add some scaffolding for parsing affine maps:
- parsing affine map identifiers
- place-holder classes for AffineMap
- module contains a list of affine maps (defined at the top level).

PiperOrigin-RevId: 202336919
2019-03-29 12:26:28 -07:00