blob: 73bd9dacf8c24854481ff7e8004ac88c3f323662 [file]
// RUN: mlir-opt %s --sparse-space-collapse | FileCheck %s
#COO = #sparse_tensor.encoding<{
map = (i, j) -> (
i : compressed(nonunique),
j : singleton(soa)
)
}>
// CHECK-LABEL: func.func @sparse_sparse_collapse(
// CHECK-SAME: %[[VAL_0:.*]]: tensor<4x8xf32, #sparse>) -> index {
// CHECK-DAG: %[[VAL_1:.*]] = arith.constant 0 : index
// CHECK-DAG: %[[VAL_2:.*]] = arith.constant 1 : index
// CHECK: %[[VAL_3:.*]] = sparse_tensor.extract_iteration_space %[[VAL_0]] lvls = 0 to 2
// CHECK: %[[VAL_4:.*]] = sparse_tensor.iterate %[[VAL_5:.*]] in %[[VAL_3]] iter_args(%[[VAL_6:.*]] = %[[VAL_1]])
// CHECK: %[[VAL_7:.*]] = arith.addi %[[VAL_6]], %[[VAL_2]] : index
// CHECK: sparse_tensor.yield %[[VAL_7]] : index
// CHECK: }
// CHECK: return %[[VAL_4]] : index
// CHECK: }
func.func @sparse_sparse_collapse(%sp : tensor<4x8xf32, #COO>) -> index {
%i = arith.constant 0 : index
%c1 = arith.constant 1 : index
%l1 = sparse_tensor.extract_iteration_space %sp lvls = 0
: tensor<4x8xf32, #COO> -> !sparse_tensor.iter_space<#COO, lvls = 0>
%r1 = sparse_tensor.iterate %it1 in %l1 iter_args(%outer = %i): !sparse_tensor.iter_space<#COO, lvls = 0 to 1> -> index {
%l2 = sparse_tensor.extract_iteration_space %sp at %it1 lvls = 1
: tensor<4x8xf32, #COO>, !sparse_tensor.iterator<#COO, lvls = 0 to 1> -> !sparse_tensor.iter_space<#COO, lvls = 1>
%r2 = sparse_tensor.iterate %it2 in %l2 iter_args(%inner = %outer): !sparse_tensor.iter_space<#COO, lvls = 1 to 2> -> index {
%k = arith.addi %inner, %c1 : index
sparse_tensor.yield %k : index
}
sparse_tensor.yield %r2 : index
}
return %r1 : index
}
// Verify that --sparse-space-collapse does not crash when an
// ExtractIterSpaceOp inside a collapsable loop body is not consumed by an
// IterateOp. Previously the pass erased ops during the walk, invalidating the
// walk iterator and causing a use-after-free. See:
// https://github.com/llvm/llvm-project/issues/130021
// The inner %l3 (from %sp2) is not consumed by an IterateOp, so it cannot be
// collapsed. Before the fix, processing the collapsable group {%l1,%l2} during
// the walk would erase %r1 (and everything nested inside, including %l3),
// causing the walk to access freed memory on the next step.
// CHECK-LABEL: func.func @no_crash_unconsumed_iter_space(
// CHECK: sparse_tensor.extract_iteration_space {{.*}} lvls = 0 to 2
// CHECK: sparse_tensor.iterate
// CHECK: sparse_tensor.extract_iteration_space {{.*}} lvls = 0
func.func @no_crash_unconsumed_iter_space(
%sp : tensor<4x8xf32, #COO>, %sp2 : tensor<4x8xf32, #COO>) -> index {
%i = arith.constant 0 : index
%c1 = arith.constant 1 : index
%l1 = sparse_tensor.extract_iteration_space %sp lvls = 0
: tensor<4x8xf32, #COO> -> !sparse_tensor.iter_space<#COO, lvls = 0>
%r1 = sparse_tensor.iterate %it1 in %l1 iter_args(%outer = %i): !sparse_tensor.iter_space<#COO, lvls = 0 to 1> -> index {
%l2 = sparse_tensor.extract_iteration_space %sp at %it1 lvls = 1
: tensor<4x8xf32, #COO>, !sparse_tensor.iterator<#COO, lvls = 0 to 1> -> !sparse_tensor.iter_space<#COO, lvls = 1>
%r2 = sparse_tensor.iterate %it2 in %l2 iter_args(%inner = %outer): !sparse_tensor.iter_space<#COO, lvls = 1 to 2> -> index {
// This space is from a different tensor and is not consumed by an IterateOp,
// so it breaks the collapsable chain. It must not cause a crash.
%l3 = sparse_tensor.extract_iteration_space %sp2 lvls = 0
: tensor<4x8xf32, #COO> -> !sparse_tensor.iter_space<#COO, lvls = 0>
%k = arith.addi %inner, %c1 : index
sparse_tensor.yield %k : index
}
sparse_tensor.yield %r2 : index
}
return %r1 : index
}