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1// RUN: mlir-opt %s --transform-interpreter --split-input-file \2// RUN: --verify-diagnostics | FileCheck %s3 4// UNSUPPORTED: target=aarch64-pc-windows-msvc5 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 them20 // 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]]#026 // 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_op33 %1 = transform.structured.match ops{["tensor.extract_slice"]} in %arg0 : (!transform.any_op) -> !transform.any_op34 %2 = transform.structured.match ops{["tensor.insert_slice"]} in %arg0 : (!transform.any_op) -> !transform.any_op35 36 transform.loop.hoist_loop_invariant_subsets %0 : !transform.any_op37 // Make sure that the handles are still valid (and were updated in case of38 // 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_op44 %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.yield52 }53}54 55// -----56 57// Checks that transform ops from LoopExtensionOps and SCFTransformOps can be58// 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.for66 // CHECK: scf.for67 %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_op77 transform.loop.hoist_loop_invariant_subsets %0 : !transform.any_op78 transform.loop.unroll %0 { factor = 4 } : !transform.any_op79 transform.yield80 }81}82