Commit Graph

472 Commits

Author SHA1 Message Date
Chris Lattner 67c03193de Implement a simple IR verifier, including support for custom ops adding their
own requirements.

PiperOrigin-RevId: 203497491
2019-03-29 12:29:55 -07:00
Chris Lattner 9e0e01b47a Implement Uday's suggestion to unique attribute lists across instructions,
reducing the memory impact on Operation to one word instead of 3 from an
std::vector.

Implement Jacques' suggestion to merge OpImpl::Storage into OpImpl::Base.

PiperOrigin-RevId: 203426518
2019-03-29 12:29:42 -07:00
Chris Lattner 1928e20a56 Add the ability to have "Ops" defined as small C++ classes, with some nice
properties:
 - They allow type checked dynamic casting from their base Operation.
 - They allow nice accessors for C++ clients, e.g. a "getIndex()" method on
   'dim' that returns an unsigned.
 - They work with both OperationInst/OperationStmt (once OperationStmt is
   implemented).
 - They get custom printing logic.  They will eventually get custom parsing,
   verifier, and builder logic as well.
 - Out of tree clients can register their own operation set without having to
   change MLIR core, e.g. for TensorFlow or custom target instructions.

This registers addf and dim as examples.

PiperOrigin-RevId: 203382993
2019-03-29 12:29:29 -07:00
Chris Lattner b0dabbd67f Add parsing for attributes and attibutes on operations. Add IR representation
for attributes on operations.  Split Operation out from OperationInst so it
can be shared with OperationStmt one day.

PiperOrigin-RevId: 203325366
2019-03-29 12:29:16 -07:00
Chris Lattner ccd8caee9e Implement IR support for attributes.
PiperOrigin-RevId: 203293376
2019-03-29 12:29:00 -07:00
Chris Lattner ad4ea23278 Clean up the implementation of Type, making it structurally more similar to
Instruction and AffineExpr.  NFC.

PiperOrigin-RevId: 203287117
2019-03-29 12:28:47 -07:00
Uday Bondhugula bd7c1f9566 Clean up an MLIRContext comment
PiperOrigin-RevId: 203227287
2019-03-29 12:28:35 -07:00
Uday Bondhugula 3dc4fb6f0f Parsing support for affine maps and affine expressions
A recursive descent parser for affine maps/expressions with operator precedence and
associativity. (While on this, sketch out uniqui'ing functionality for affine maps
and affine binary op expressions (partly).)

PiperOrigin-RevId: 203222063
2019-03-29 12:28:22 -07:00
Tatiana Shpeisman 177ce7215c Basic representation and parsing of if and for statements. Loop headers and if statement conditions are not yet supported.
PiperOrigin-RevId: 203211526
2019-03-29 12:28:10 -07:00
Chris Lattner 789ba6319e Improve management of instructions and basic blocks by having their inclusion
in a container automatically maintain their parent pointers, and change storage
from std::vector to the proper llvm::iplist type.

PiperOrigin-RevId: 202889037
2019-03-29 12:27:44 -07:00
Chris Lattner 6af866c58d Enhance the type system to support arbitrary precision integers, which are
important for low-bitwidth inference cases and hardware synthesis targets.

Rename 'int' to 'affineint' to avoid confusion between "the integers" and "the int
type".

PiperOrigin-RevId: 202751508
2019-03-29 12:27:32 -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
Chris Lattner 1734d78f88 Sketch out parser/IR support for OperationInst, and a new Instruction base
class.

Introduce an Identifier class to MLIRContext to represent uniqued identifiers,
introduce string literal support to the lexer, introducing parser and printer
support etc.

PiperOrigin-RevId: 202592007
2019-03-29 12:26:53 -07:00
Tatiana Shpeisman 3609599af6 Introduce IR and parser support for ML functions.
Representing function arguments is still TODO.
Supporting instructions other than return is also TODO.

PiperOrigin-RevId: 202570934
2019-03-29 12:26:41 -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
Chris Lattner 2b6684cfbe Add the unconditional branch instruction, improve diagnostics for block
references.

PiperOrigin-RevId: 201872745
2019-03-29 12:25:35 -07:00
MLIR Team 81f5332e45 Remove unused UnrankedTensorTypeKeyInfo.
PiperOrigin-RevId: 201830967
2019-03-29 12:25:11 -07:00
MLIR Team 642f3e8847 Add tensor type.
PiperOrigin-RevId: 201830793
2019-03-29 12:24:58 -07:00
Chris Lattner 80b6bd24b3 Implement parser/IR support for CFG functions, basic blocks and return instruction.
This is pretty much minimal scaffolding for this step.  Basic block arguments,
instructions, other terminators, a proper IR representation for
blocks/instructions, etc are all coming.

PiperOrigin-RevId: 201826439
2019-03-29 12:24:45 -07:00
Chris Lattner 49795d166f Introduce IR support for MLIRContext, primitive types, function types, and
vector types.

tensors and memref types are still TODO, and would be a good starter project
for someone.

PiperOrigin-RevId: 201782748
2019-03-29 12:24:32 -07:00
Chris Lattner 5fc587ecf8 Continue sketching out basic infrastructure, including an input and output
filename, and printing of trivial stuff.  There is no parser yet, so the
input file is ignored.

PiperOrigin-RevId: 201596916
2019-03-29 12:23:51 -07:00
Chris Lattner 9603f9fe35 Sketch out a new repository for the mlir project (go/mlir).
PiperOrigin-RevId: 201540159
2019-03-29 12:23:24 -07:00