81 lines
3.6 KiB
MLIR
81 lines
3.6 KiB
MLIR
// RUN: mlir-opt %s --transform-interpreter --split-input-file \
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// RUN: --verify-diagnostics | FileCheck %s
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// UNSUPPORTED: target=aarch64-pc-windows-msvc
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// CHECK-LABEL: func @test_loop_invariant_subset_hoisting(
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// CHECK-SAME: %[[arg:.*]]: tensor<?xf32>
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func.func @test_loop_invariant_subset_hoisting(%arg: tensor<?xf32>) -> tensor<?xf32> {
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%lb = "test.foo"() : () -> (index)
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%ub = "test.foo"() : () -> (index)
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%step = "test.foo"() : () -> (index)
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// CHECK: %[[extract:.*]] = tensor.extract_slice %[[arg]]
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// CHECK: %[[for:.*]]:2 = scf.for {{.*}} iter_args(%[[t:.*]] = %[[arg]], %[[hoisted:.*]] = %[[extract]])
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// expected-remark @below{{new loop op}}
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%0 = scf.for %iv = %lb to %ub step %step iter_args(%t = %arg) -> (tensor<?xf32>) {
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%1 = tensor.extract_slice %t[0][5][1] : tensor<?xf32> to tensor<5xf32>
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// CHECK: %[[foo:.*]] = "test.foo"(%[[hoisted]])
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%2 = "test.foo"(%1) : (tensor<5xf32>) -> (tensor<5xf32>)
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// Obfuscate the IR by inserting at offset %sub instead of 0; both of them
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// have the same value.
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%3 = tensor.insert_slice %2 into %t[0][5][1] : tensor<5xf32> into tensor<?xf32>
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// CHECK: scf.yield %[[t]], %[[foo]]
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scf.yield %3 : tensor<?xf32>
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}
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// CHECK: %[[insert:.*]] = tensor.insert_slice %[[for]]#1 into %[[for]]#0
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// CHECK: return %[[insert]]
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return %0 : tensor<?xf32>
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}
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module attributes {transform.with_named_sequence} {
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transform.named_sequence @__transform_main(%arg0: !transform.any_op {transform.readonly}) {
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%0 = transform.structured.match ops{["scf.for"]} in %arg0 : (!transform.any_op) -> !transform.any_op
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%1 = transform.structured.match ops{["tensor.extract_slice"]} in %arg0 : (!transform.any_op) -> !transform.any_op
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%2 = transform.structured.match ops{["tensor.insert_slice"]} in %arg0 : (!transform.any_op) -> !transform.any_op
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transform.loop.hoist_loop_invariant_subsets %0 : !transform.any_op
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// Make sure that the handles are still valid (and were updated in case of
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// the loop).
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%p = transform.num_associations %0 : (!transform.any_op) -> !transform.param<i64>
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// expected-remark @below{{1}}
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transform.debug.emit_param_as_remark %p : !transform.param<i64>
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transform.debug.emit_remark_at %0, "new loop op" : !transform.any_op
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%p2 = transform.num_associations %1 : (!transform.any_op) -> !transform.param<i64>
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// expected-remark @below{{1}}
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transform.debug.emit_param_as_remark %p2 : !transform.param<i64>
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%p3 = transform.num_associations %2 : (!transform.any_op) -> !transform.param<i64>
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// expected-remark @below{{1}}
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transform.debug.emit_param_as_remark %p3 : !transform.param<i64>
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transform.yield
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}
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}
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// -----
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// Checks that transform ops from LoopExtensionOps and SCFTransformOps can be
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// used together.
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// CHECK-LABEL: func @test_mixed_loop_extension_scf_transform(
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func.func @test_mixed_loop_extension_scf_transform(%arg: tensor<?xf32>) -> tensor<?xf32> {
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%lb = "test.foo"() : () -> (index)
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%ub = "test.foo"() : () -> (index)
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%step = "test.foo"() : () -> (index)
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// CHECK: scf.for
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// CHECK: scf.for
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%0 = scf.for %iv = %lb to %ub step %step iter_args(%t = %arg) -> (tensor<?xf32>) {
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%1 = "test.foo"(%t) : (tensor<?xf32>) -> (tensor<?xf32>)
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scf.yield %1 : tensor<?xf32>
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}
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return %0 : tensor<?xf32>
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}
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module attributes {transform.with_named_sequence} {
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transform.named_sequence @__transform_main(%arg0: !transform.any_op {transform.readonly}) {
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%0 = transform.structured.match ops{["scf.for"]} in %arg0 : (!transform.any_op) -> !transform.any_op
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transform.loop.hoist_loop_invariant_subsets %0 : !transform.any_op
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transform.loop.unroll %0 { factor = 4 } : !transform.any_op
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transform.yield
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}
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}
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