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12 Commits

Author SHA1 Message Date
Nicolas Vasilache
65678d9384 [mlir][VectorOps] Implement strided_slice conversion 
Summary:
This diff implements the progressive lowering of strided_slice to either:
  1. extractelement + insertelement for the 1-D case
  2. extract + optional strided_slice + insert for the n-D case.

This combines properly with the other conversion patterns to lower all the way to LLVM.

Appropriate tests are added.

Reviewers: ftynse, rriddle, AlexEichenberger, andydavis1, tetuante

Reviewed By: andydavis1

Subscribers: merge_guards_bot, mehdi_amini, jpienaar, burmako, shauheen, antiagainst, arpith-jacob, mgester, lucyrfox, llvm-commits

Tags: #llvm

Differential Revision: https://reviews.llvm.org/D72310
 2020-01-09 03:03:51 -05:00
River Riddle
e62a69561f NFC: Replace ValuePtr with Value and remove it now that Value is value-typed. 
ValuePtr was a temporary typedef during the transition to a value-typed Value.

PiperOrigin-RevId: 286945714
 2019-12-23 16:36:53 -08:00
Mehdi Amini
56222a0694 Adjust License.txt file to use the LLVM license 
PiperOrigin-RevId: 286906740
 2019-12-23 15:33:37 -08:00
River Riddle
35807bc4c5 NFC: Introduce new ValuePtr/ValueRef typedefs to simplify the transition to Value being value-typed. 
This is an initial step to refactoring the representation of OpResult as proposed in: https://groups.google.com/a/tensorflow.org/g/mlir/c/XXzzKhqqF_0/m/v6bKb08WCgAJ

This change will make it much simpler to incrementally transition all of the existing code to use value-typed semantics.

PiperOrigin-RevId: 286844725
 2019-12-22 22:00:23 -08:00
Aart Bik
1d47564a53 [VectorOps] unify vector dialect "subscripts" 
PiperOrigin-RevId: 286650682
 2019-12-20 15:33:04 -08:00
Aart Bik
d9b500d3bb [VectorOps] Add vector.print definition, with lowering support 
Examples:

  vector.print %f : f32
  vector.print %x : vector<4xf32>
  vector.print %y : vector<3x4xf32>
  vector.print %z : vector<2x3x4xf32>

LLVM lowering replaces these with fully unrolled calls
into a small runtime support library that provides some
basic printing operations (single value, opening closing
bracket, comma, newline).

PiperOrigin-RevId: 286230325
 2019-12-18 11:31:34 -08:00
Aart Bik
cd5dab8ad7 [VectorOps] Add [insert/extract]element definition together with lowering to LLVM 
Similar to insert/extract vector instructions but
(1) work on 1-D vectors only
(2) allow for a dynamic index

  %c3 = constant 3 : index
  %0 = vector.insertelement %arg0, %arg1[%c : index] : vector<4xf32>
  %1 = vector.extractelement %arg0[%c3 : index] : vector<4xf32>

PiperOrigin-RevId: 285792205
 2019-12-16 09:52:46 -08:00
Aart Bik
1c81adf362 [VectorOps] Add lowering of vector.shuffle to LLVM IR 
For example, a shuffle

%1 = vector.shuffle %arg0, %arg1 [0 : i32, 1 : i32] : vector<2xf32>, vector<2xf32>

becomes a direct LLVM shuffle

0 = llvm.shufflevector %arg0, %arg1 [0 : i32, 1 : i32] : !llvm<"<2 x float>">, !llvm<"<2 x float>">

but

%1 = vector.shuffle %a, %b[1 : i32, 0 : i32, 2: i32] : vector<1x4xf32>, vector<2x4xf32>

becomes the more elaborate (note the index permutation that drives
argument selection for the extract operations)

%0 = llvm.mlir.undef : !llvm<"[3 x <4 x float>]">
%1 = llvm.extractvalue %arg1[0] : !llvm<"[2 x <4 x float>]">
%2 = llvm.insertvalue %1, %0[0] : !llvm<"[3 x <4 x float>]">
%3 = llvm.extractvalue %arg0[0] : !llvm<"[1 x <4 x float>]">
%4 = llvm.insertvalue %3, %2[1] : !llvm<"[3 x <4 x float>]">
%5 = llvm.extractvalue %arg1[1] : !llvm<"[2 x <4 x float>]">
%6 = llvm.insertvalue %5, %4[2] : !llvm<"[3 x <4 x float>]">

PiperOrigin-RevId: 285268164
 2019-12-12 14:11:56 -08:00
Aart Bik
9826fe5c9f [VectorOps] Add lowering of vector.insert to LLVM IR 
For example, an insert

  %0 = vector.insert %arg0, %arg1[3 : i32] : f32 into vector<4xf32>

becomes

  %0 = llvm.mlir.constant(3 : i32) : !llvm.i32
  %1 = llvm.insertelement %arg0, %arg1[%0 : !llvm.i32] : !llvm<"<4 x float>">

A more elaborate example, inserting an element in a higher dimension
vector

  %0 = vector.insert %arg0, %arg1[3 : i32, 7 : i32, 15 : i32] : f32 into vector<4x8x16xf32>

becomes

  %0 = llvm.extractvalue %arg1[3 : i32, 7 : i32] : !llvm<"[4 x [8 x <16 x float>]]">
  %1 = llvm.mlir.constant(15 : i32) : !llvm.i32
  %2 = llvm.insertelement %arg0, %0[%1 : !llvm.i32] : !llvm<"<16 x float>">
  %3 = llvm.insertvalue %2, %arg1[3 : i32, 7 : i32] : !llvm<"[4 x [8 x <16 x float>]]">

PiperOrigin-RevId: 284882443
 2019-12-10 17:12:49 -08:00
Aart Bik
d37f27251f [VecOps] Rename vector.[insert|extract]element to just vector.[insert|extract] 
Since these operations lower to [insert|extract][element|value] at LLVM
dialect level, neither element nor value would correctly reflect the meaning.

PiperOrigin-RevId: 284240727
 2019-12-06 12:39:25 -08:00
Aart Bik
b36aaeafb1 [VectorOps] Add lowering of vector.broadcast to LLVM IR 
For example, a scalar broadcast

    %0 = vector.broadcast %x : f32 to vector<2xf32>
    return %0 : vector<2xf32>

which expands scalar x into vector [x,x] by lowering
to the following LLVM IR dialect to implement the
duplication over the leading dimension.

    %0 = llvm.mlir.undef : !llvm<"<2 x float>">
    %1 = llvm.mlir.constant(0 : index) : !llvm.i64
    %2 = llvm.insertelement %x, %0[%1 : !llvm.i64] : !llvm<"<2 x float>">
    %3 = llvm.shufflevector %2, %0 [0 : i32, 0 : i32] : !llvm<"<2 x float>">, !llvm<"<2 x float>">
    return %3 : vector<2xf32>

In the trailing dimensions, the operand is simply
"passed through", unless a more elaborate "stretch"
is required.

For example

    %0 = vector.broadcast %arg0 : vector<1xf32> to vector<4xf32>
    return %0 : vector<4xf32>

becomes

    %0 = llvm.mlir.undef : !llvm<"<4 x float>">
    %1 = llvm.mlir.constant(0 : index) : !llvm.i64
    %2 = llvm.extractelement %arg0[%1 : !llvm.i64] : !llvm<"<1 x float>">
    %3 = llvm.mlir.constant(0 : index) : !llvm.i64
    %4 = llvm.insertelement %2, %0[%3 : !llvm.i64] : !llvm<"<4 x float>">
    %5 = llvm.shufflevector %4, %0 [0 : i32, 0 : i32, 0 : i32, 0 : i32] : !llvm<"<4 x float>">, !llvm<"<4 x float>">
    llvm.return %5 : !llvm<"<4 x float>">

PiperOrigin-RevId: 284219926
 2019-12-06 11:02:29 -08:00
Nicolas Vasilache
5c0c51a997 Refactor dependencies to expose Vector transformations as patterns - NFC 
This CL refactors some of the MLIR vector dependencies to allow decoupling VectorOps, vector analysis, vector transformations and vector conversions from each other.
This makes the system more modular and allows extracting VectorToVector into VectorTransforms that do not depend on vector conversions.

This refactoring exhibited a bunch of cyclic library dependencies that have been cleaned up.

PiperOrigin-RevId: 283660308
 2019-12-03 17:52:10 -08:00