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
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
