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[FRONTEND] Add scalar type support for some ops (#661)

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This PR adds basic support for scalar-type inputs to some ops (cast and pointer arithmetics) for Triton-MLIR. Also renames getelementptr -> addptr
This commit is contained in:
Shintaro Iwasaki
2022-09-15 16:12:52 -07:00
committed by GitHub
parent 2e08450c80
commit 43be75ad42
27 changed files with 203 additions and 129 deletions
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8
test/Analysis/test-alignment.mlir
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@@ -18,7 +18,7 @@ func @permute_2d(%arg0: !tt.ptr<f32> {tt.divisibility = 16 : i32}, %arg1: i32 {t
// CHECK-NEXT: Contiguity: [1, 1] ; Divisibility: [16, 16] ; Constancy: [128, 1]
%5 = tt.splat %arg0 : (!tt.ptr<f32>) -> tensor<128x1x!tt.ptr<f32>>
// CHECK-NEXT: Contiguity: [1, 1] ; Divisibility: [16, 16] ; Constancy: [1, 1]
%6 = tt.getelementptr %5, %4 : tensor<128x1x!tt.ptr<f32>>
%6 = tt.addptr %5, %4 : tensor<128x1x!tt.ptr<f32>>
// CHECK-NEXT: Contiguity: [1, 128] ; Divisibility: [1, 65536] ; Constancy: [1, 1]
%7 = tt.expand_dims %1 {axis = 0 : i32}: (tensor<128xi32>) -> tensor<1x128xi32>
// CHECK-NEXT: Contiguity: [1, 1] ; Divisibility: [16, 16] ; Constancy: [1, 128]
@@ -26,13 +26,13 @@ func @permute_2d(%arg0: !tt.ptr<f32> {tt.divisibility = 16 : i32}, %arg1: i32 {t
// CHECK-NEXT: Contiguity: [1, 128] ; Divisibility: [1, 65536] ; Constancy: [128, 1]
%9 = tt.broadcast %7 : (tensor<1x128xi32>) -> tensor<128x128xi32>
// CHECK-NEXT: Contiguity: [1, 128] ; Divisibility: [1, 16] ; Constancy: [1, 1]
%10 = tt.getelementptr %8, %9 : tensor<128x128x!tt.ptr<f32>>
%10 = tt.addptr %8, %9 : tensor<128x128x!tt.ptr<f32>>
// CHECK-NEXT: Contiguity: [128, 1] ; Divisibility: [65536, 1] ; Constancy: [1, 1]
%11 = tt.expand_dims %0 {axis = 1 : i32}: (tensor<128xi32>) -> tensor<128x1xi32>
// CHECK-NEXT: Contiguity: [1, 1] ; Divisibility: [16, 16] ; Constancy: [128, 1]
%12 = tt.splat %arg2 : (!tt.ptr<f32>) -> tensor<128x1x!tt.ptr<f32>>
// CHECK-NEXT: Contiguity: [128, 1] ; Divisibility: [16, 1] ; Constancy: [1, 1]
%13 = tt.getelementptr %12, %11 : tensor<128x1x!tt.ptr<f32>>
%13 = tt.addptr %12, %11 : tensor<128x1x!tt.ptr<f32>>
// CHECK-NEXT: Contiguity: [1, 128] ; Divisibility: [1, 65536] ; Constancy: [1, 1]
%14 = tt.expand_dims %1 {axis = 0 : i32} : (tensor<128xi32>) -> tensor<1x128xi32>
// CHECK-NEXT: Contiguity: [1, 1] ; Divisibility: [16, 16] ; Constancy: [1, 128]
@@ -44,7 +44,7 @@ func @permute_2d(%arg0: !tt.ptr<f32> {tt.divisibility = 16 : i32}, %arg1: i32 {t
// CHECK-NEXT: Contiguity: [1, 1] ; Divisibility: [16, 1048576] ; Constancy: [128, 1]
%18 = tt.broadcast %16 : (tensor<1x128xi32>) -> tensor<128x128xi32>
// CHECK-NEXT: Contiguity: [128, 1] ; Divisibility: [16, 1] ; Constancy: [1, 1]
%19 = tt.getelementptr %17, %18 : tensor<128x128x!tt.ptr<f32>>
%19 = tt.addptr %17, %18 : tensor<128x128x!tt.ptr<f32>>
// CHECK-NEXT: Contiguity: [1, 1] ; Divisibility: [1, 1] ; Constancy: [1, 1]
%20 = tt.load %10, %cst, %cst_0 {cache = 1 : i32, evict = 1 : i32, isVolatile = false} : tensor<128x128xf32>
tt.store %19, %20, %cst : tensor<128x128xf32>