llvm-project/mlir/test/Transforms/parametric-mapping.mlir

53 lines
2.3 KiB
MLIR

// RUN: mlir-opt -allow-unregistered-dialect -test-mapping-to-processing-elements %s | FileCheck %s
// CHECK: #[[mul_map:.+]] = affine_map<()[s0, s1] -> (s0 * s1)>
// CHECK: #[[add_map:.+]] = affine_map<()[s0, s1] -> (s0 + s1)>
// CHECK: func @map1d
// CHECK-SAME: (%[[lb:.*]]: index, %[[ub:.*]]: index, %[[step:.*]]: index)
func @map1d(%lb: index, %ub: index, %step: index) {
// CHECK: %[[threads:.*]]:2 = "new_processor_id_and_range"() : () -> (index, index)
%0:2 = "new_processor_id_and_range"() : () -> (index, index)
// CHECK: %[[thread_offset:.+]] = affine.apply #[[mul_map]]()[%[[threads]]#0, %[[step]]]
// CHECK: %[[new_lb:.+]] = affine.apply #[[add_map]]()[%[[thread_offset]], %[[lb]]]
// CHECK: %[[new_step:.+]] = affine.apply #[[mul_map]]()[%[[threads]]#1, %[[step]]]
// CHECK: scf.for %{{.*}} = %[[new_lb]] to %[[ub]] step %[[new_step]] {
scf.for %i = %lb to %ub step %step {}
return
}
// CHECK: func @map2d
// CHECK-SAME: (%[[lb:.*]]: index, %[[ub:.*]]: index, %[[step:.*]]: index)
func @map2d(%lb : index, %ub : index, %step : index) {
// CHECK: %[[blocks:.*]]:2 = "new_processor_id_and_range"() : () -> (index, index)
%0:2 = "new_processor_id_and_range"() : () -> (index, index)
// CHECK: %[[threads:.*]]:2 = "new_processor_id_and_range"() : () -> (index, index)
%1:2 = "new_processor_id_and_range"() : () -> (index, index)
// blockIdx.x * blockDim.x
// CHECK: %[[bidxXbdimx:.+]] = affine.apply #[[mul_map]]()[%[[blocks]]#0, %[[threads]]#1]
//
// threadIdx.x + blockIdx.x * blockDim.x
// CHECK: %[[tidxpbidxXbdimx:.+]] = affine.apply #[[add_map]]()[%[[bidxXbdimx]], %[[threads]]#0]
//
// thread_offset = step * (threadIdx.x + blockIdx.x * blockDim.x)
// CHECK: %[[thread_offset:.+]] = affine.apply #[[mul_map]]()[%[[tidxpbidxXbdimx]], %[[step]]]
//
// new_lb = lb + thread_offset
// CHECK: %[[new_lb:.+]] = affine.apply #[[add_map]]()[%[[thread_offset]], %[[lb]]]
//
// stepXgdimx = step * gridDim.x
// CHECK: %[[stepXgdimx:.+]] = affine.apply #[[mul_map]]()[%[[blocks]]#1, %[[step]]]
//
// new_step = step * gridDim.x * blockDim.x
// CHECK: %[[new_step:.+]] = affine.apply #[[mul_map]]()[%[[threads]]#1, %[[stepXgdimx]]]
//
// CHECK: scf.for %{{.*}} = %[[new_lb]] to %[[ub]] step %[[new_step]] {
scf.for %i = %lb to %ub step %step {}
return
}