1// RUN: mlir-opt %s --transform-interpreter --split-input-file \ 2// RUN: --verify-diagnostics | FileCheck %s 3 4// UNSUPPORTED: target=aarch64-pc-windows-msvc 5 6// CHECK-LABEL: func @test_loop_invariant_subset_hoisting( 7// CHECK-SAME: %[[arg:.*]]: tensor<?xf32> 8func.func @test_loop_invariant_subset_hoisting(%arg: tensor<?xf32>) -> tensor<?xf32> { 9 %lb = "test.foo"() : () -> (index) 10 %ub = "test.foo"() : () -> (index) 11 %step = "test.foo"() : () -> (index) 12 // CHECK: %[[extract:.*]] = tensor.extract_slice %[[arg]] 13 // CHECK: %[[for:.*]]:2 = scf.for {{.*}} iter_args(%[[t:.*]] = %[[arg]], %[[hoisted:.*]] = %[[extract]]) 14 // expected-remark @below{{new loop op}} 15 %0 = scf.for %iv = %lb to %ub step %step iter_args(%t = %arg) -> (tensor<?xf32>) { 16 %1 = tensor.extract_slice %t[0][5][1] : tensor<?xf32> to tensor<5xf32> 17 // CHECK: %[[foo:.*]] = "test.foo"(%[[hoisted]]) 18 %2 = "test.foo"(%1) : (tensor<5xf32>) -> (tensor<5xf32>) 19 // Obfuscate the IR by inserting at offset %sub instead of 0; both of them 20 // have the same value. 21 %3 = tensor.insert_slice %2 into %t[0][5][1] : tensor<5xf32> into tensor<?xf32> 22 // CHECK: scf.yield %[[t]], %[[foo]] 23 scf.yield %3 : tensor<?xf32> 24 } 25 // CHECK: %[[insert:.*]] = tensor.insert_slice %[[for]]#1 into %[[for]]#0 26 // CHECK: return %[[insert]] 27 return %0 : tensor<?xf32> 28} 29 30module attributes {transform.with_named_sequence} { 31 transform.named_sequence @__transform_main(%arg0: !transform.any_op {transform.readonly}) { 32 %0 = transform.structured.match ops{["scf.for"]} in %arg0 : (!transform.any_op) -> !transform.any_op 33 %1 = transform.structured.match ops{["tensor.extract_slice"]} in %arg0 : (!transform.any_op) -> !transform.any_op 34 %2 = transform.structured.match ops{["tensor.insert_slice"]} in %arg0 : (!transform.any_op) -> !transform.any_op 35 36 transform.loop.hoist_loop_invariant_subsets %0 : !transform.any_op 37 // Make sure that the handles are still valid (and were updated in case of 38 // the loop). 39 40 %p = transform.num_associations %0 : (!transform.any_op) -> !transform.param<i64> 41 // expected-remark @below{{1}} 42 transform.debug.emit_param_as_remark %p : !transform.param<i64> 43 transform.debug.emit_remark_at %0, "new loop op" : !transform.any_op 44 %p2 = transform.num_associations %1 : (!transform.any_op) -> !transform.param<i64> 45 // expected-remark @below{{1}} 46 transform.debug.emit_param_as_remark %p2 : !transform.param<i64> 47 %p3 = transform.num_associations %2 : (!transform.any_op) -> !transform.param<i64> 48 // expected-remark @below{{1}} 49 transform.debug.emit_param_as_remark %p3 : !transform.param<i64> 50 51 transform.yield 52 } 53} 54 55// ----- 56 57// Checks that transform ops from LoopExtensionOps and SCFTransformOps can be 58// used together. 59 60// CHECK-LABEL: func @test_mixed_loop_extension_scf_transform( 61func.func @test_mixed_loop_extension_scf_transform(%arg: tensor<?xf32>) -> tensor<?xf32> { 62 %lb = "test.foo"() : () -> (index) 63 %ub = "test.foo"() : () -> (index) 64 %step = "test.foo"() : () -> (index) 65 // CHECK: scf.for 66 // CHECK: scf.for 67 %0 = scf.for %iv = %lb to %ub step %step iter_args(%t = %arg) -> (tensor<?xf32>) { 68 %1 = "test.foo"(%t) : (tensor<?xf32>) -> (tensor<?xf32>) 69 scf.yield %1 : tensor<?xf32> 70 } 71 return %0 : tensor<?xf32> 72} 73 74module attributes {transform.with_named_sequence} { 75 transform.named_sequence @__transform_main(%arg0: !transform.any_op {transform.readonly}) { 76 %0 = transform.structured.match ops{["scf.for"]} in %arg0 : (!transform.any_op) -> !transform.any_op 77 transform.loop.hoist_loop_invariant_subsets %0 : !transform.any_op 78 transform.loop.unroll %0 { factor = 4 } : !transform.any_op 79 transform.yield 80 } 81} 82