Files
clang-p2996/mlir/test/Integration/Dialect/Vector/CPU/test-transfer-read-3d.mlir
River Riddle 3655069234 [mlir] Move the Builtin FuncOp to the Func dialect
This commit moves FuncOp out of the builtin dialect, and into the Func
dialect. This move has been planned in some capacity from the moment
we made FuncOp an operation (years ago). This commit handles the
functional aspects of the move, but various aspects are left untouched
to ease migration: func::FuncOp is re-exported into mlir to reduce
the actual API churn, the assembly format still accepts the unqualified
`func`. These temporary measures will remain for a little while to
simplify migration before being removed.

Differential Revision: https://reviews.llvm.org/D121266
2022-03-16 17:07:03 -07:00

150 lines
7.2 KiB
MLIR

// RUN: mlir-opt %s -pass-pipeline="func.func(convert-vector-to-scf,lower-affine,convert-scf-to-cf),convert-vector-to-llvm,convert-memref-to-llvm,convert-func-to-llvm,reconcile-unrealized-casts" | \
// RUN: mlir-cpu-runner -e entry -entry-point-result=void \
// RUN: -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
// RUN: FileCheck %s
// RUN: mlir-opt %s -pass-pipeline="func.func(convert-vector-to-scf{lower-permutation-maps=true},lower-affine,convert-scf-to-cf),convert-vector-to-llvm,convert-memref-to-llvm,convert-func-to-llvm,reconcile-unrealized-casts" | \
// RUN: mlir-cpu-runner -e entry -entry-point-result=void \
// RUN: -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
// RUN: FileCheck %s
// RUN: mlir-opt %s -pass-pipeline="func.func(convert-vector-to-scf{full-unroll=true},lower-affine,convert-scf-to-cf),convert-vector-to-llvm,convert-memref-to-llvm,convert-func-to-llvm,reconcile-unrealized-casts" | \
// RUN: mlir-cpu-runner -e entry -entry-point-result=void \
// RUN: -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
// RUN: FileCheck %s
// RUN: mlir-opt %s -pass-pipeline="func.func(convert-vector-to-scf{full-unroll=true lower-permutation-maps=true},lower-affine,convert-scf-to-cf),convert-vector-to-llvm,convert-memref-to-llvm,convert-func-to-llvm,reconcile-unrealized-casts" | \
// RUN: mlir-cpu-runner -e entry -entry-point-result=void \
// RUN: -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
// RUN: FileCheck %s
func @transfer_read_3d(%A : memref<?x?x?x?xf32>,
%o: index, %a: index, %b: index, %c: index) {
%fm42 = arith.constant -42.0: f32
%f = vector.transfer_read %A[%o, %a, %b, %c], %fm42
: memref<?x?x?x?xf32>, vector<2x5x3xf32>
vector.print %f: vector<2x5x3xf32>
return
}
func @transfer_read_3d_and_extract(%A : memref<?x?x?x?xf32>,
%o: index, %a: index, %b: index, %c: index) {
%fm42 = arith.constant -42.0: f32
%f = vector.transfer_read %A[%o, %a, %b, %c], %fm42
{in_bounds = [true, true, true]}
: memref<?x?x?x?xf32>, vector<2x5x3xf32>
%sub = vector.extract %f[0] : vector<2x5x3xf32>
vector.print %sub: vector<5x3xf32>
return
}
func @transfer_read_3d_broadcast(%A : memref<?x?x?x?xf32>,
%o: index, %a: index, %b: index, %c: index) {
%fm42 = arith.constant -42.0: f32
%f = vector.transfer_read %A[%o, %a, %b, %c], %fm42
{permutation_map = affine_map<(d0, d1, d2, d3) -> (d1, 0, d3)>}
: memref<?x?x?x?xf32>, vector<2x5x3xf32>
vector.print %f: vector<2x5x3xf32>
return
}
func @transfer_read_3d_mask_broadcast(
%A : memref<?x?x?x?xf32>, %o: index, %a: index, %b: index, %c: index) {
%fm42 = arith.constant -42.0: f32
%mask = arith.constant dense<[0, 1]> : vector<2xi1>
%f = vector.transfer_read %A[%o, %a, %b, %c], %fm42, %mask
{permutation_map = affine_map<(d0, d1, d2, d3) -> (d1, 0, 0)>}
: memref<?x?x?x?xf32>, vector<2x5x3xf32>
vector.print %f: vector<2x5x3xf32>
return
}
func @transfer_read_3d_transposed(%A : memref<?x?x?x?xf32>,
%o: index, %a: index, %b: index, %c: index) {
%fm42 = arith.constant -42.0: f32
%f = vector.transfer_read %A[%o, %a, %b, %c], %fm42
{permutation_map = affine_map<(d0, d1, d2, d3) -> (d3, d0, d1)>}
: memref<?x?x?x?xf32>, vector<3x5x3xf32>
vector.print %f: vector<3x5x3xf32>
return
}
func @transfer_write_3d(%A : memref<?x?x?x?xf32>,
%o: index, %a: index, %b: index, %c: index) {
%fn1 = arith.constant -1.0 : f32
%vf0 = vector.splat %fn1 : vector<2x9x3xf32>
vector.transfer_write %vf0, %A[%o, %a, %b, %c]
: vector<2x9x3xf32>, memref<?x?x?x?xf32>
return
}
func @entry() {
%c0 = arith.constant 0: index
%c1 = arith.constant 1: index
%c2 = arith.constant 2: index
%c3 = arith.constant 3: index
%f2 = arith.constant 2.0: f32
%f10 = arith.constant 10.0: f32
%first = arith.constant 5: index
%second = arith.constant 4: index
%third = arith.constant 2 : index
%outer = arith.constant 10 : index
%A = memref.alloc(%outer, %first, %second, %third) : memref<?x?x?x?xf32>
scf.for %o = %c0 to %outer step %c1 {
scf.for %i = %c0 to %first step %c1 {
%i32 = arith.index_cast %i : index to i32
%fi = arith.sitofp %i32 : i32 to f32
%fi10 = arith.mulf %fi, %f10 : f32
scf.for %j = %c0 to %second step %c1 {
%j32 = arith.index_cast %j : index to i32
%fj = arith.sitofp %j32 : i32 to f32
%fadded = arith.addf %fi10, %fj : f32
scf.for %k = %c0 to %third step %c1 {
%k32 = arith.index_cast %k : index to i32
%fk = arith.sitofp %k32 : i32 to f32
%fk1 = arith.addf %f2, %fk : f32
%fmul = arith.mulf %fadded, %fk1 : f32
memref.store %fmul, %A[%o, %i, %j, %k] : memref<?x?x?x?xf32>
}
}
}
}
// 1. Read 3D vector from 4D memref.
call @transfer_read_3d(%A, %c0, %c0, %c0, %c0)
: (memref<?x?x?x?xf32>, index, index, index, index) -> ()
// CHECK: ( ( ( 0, 0, -42 ), ( 2, 3, -42 ), ( 4, 6, -42 ), ( 6, 9, -42 ), ( -42, -42, -42 ) ), ( ( 20, 30, -42 ), ( 22, 33, -42 ), ( 24, 36, -42 ), ( 26, 39, -42 ), ( -42, -42, -42 ) ) )
// 2. Read 3D vector from 4D memref and extract subvector from result.
call @transfer_read_3d_and_extract(%A, %c0, %c0, %c0, %c0)
: (memref<?x?x?x?xf32>, index, index, index, index) -> ()
// CHECK: ( ( 0, 0, 2 ), ( 2, 3, 4 ), ( 4, 6, 6 ), ( 6, 9, 20 ), ( 20, 30, 22 ) )
// 3. Write 3D vector to 4D memref.
call @transfer_write_3d(%A, %c0, %c0, %c1, %c1)
: (memref<?x?x?x?xf32>, index, index, index, index) -> ()
// 4. Read memref to verify step 2.
call @transfer_read_3d(%A, %c0, %c0, %c0, %c0)
: (memref<?x?x?x?xf32>, index, index, index, index) -> ()
// CHECK: ( ( ( 0, 0, -42 ), ( 2, -1, -42 ), ( 4, -1, -42 ), ( 6, -1, -42 ), ( -42, -42, -42 ) ), ( ( 20, 30, -42 ), ( 22, -1, -42 ), ( 24, -1, -42 ), ( 26, -1, -42 ), ( -42, -42, -42 ) ) )
// 5. Read 3D vector from 4D memref and transpose vector.
call @transfer_read_3d_transposed(%A, %c0, %c0, %c0, %c0)
: (memref<?x?x?x?xf32>, index, index, index, index) -> ()
// CHECK: ( ( ( 0, 20, 40 ), ( 0, 20, 40 ), ( 0, 20, 40 ), ( 0, 20, 40 ), ( 0, 20, 40 ) ), ( ( 0, 30, 60 ), ( 0, 30, 60 ), ( 0, 30, 60 ), ( 0, 30, 60 ), ( 0, 30, 60 ) ), ( ( -42, -42, -42 ), ( -42, -42, -42 ), ( -42, -42, -42 ), ( -42, -42, -42 ), ( -42, -42, -42 ) ) )
// 6. Read 1D vector from 4D memref and broadcast vector to 3D.
call @transfer_read_3d_broadcast(%A, %c0, %c0, %c0, %c0)
: (memref<?x?x?x?xf32>, index, index, index, index) -> ()
// CHECK: ( ( ( 0, 0, -42 ), ( 0, 0, -42 ), ( 0, 0, -42 ), ( 0, 0, -42 ), ( 0, 0, -42 ) ), ( ( 20, 30, -42 ), ( 20, 30, -42 ), ( 20, 30, -42 ), ( 20, 30, -42 ), ( 20, 30, -42 ) ) )
// 7. Read 1D vector from 4D memref with mask and broadcast vector to 3D.
call @transfer_read_3d_mask_broadcast(%A, %c0, %c0, %c0, %c0)
: (memref<?x?x?x?xf32>, index, index, index, index) -> ()
// CHECK: ( ( ( -42, -42, -42 ), ( -42, -42, -42 ), ( -42, -42, -42 ), ( -42, -42, -42 ), ( -42, -42, -42 ) ), ( ( 20, 20, 20 ), ( 20, 20, 20 ), ( 20, 20, 20 ), ( 20, 20, 20 ), ( 20, 20, 20 ) ) )
memref.dealloc %A : memref<?x?x?x?xf32>
return
}