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Basically the pattern to optimize is:
inject_enum_addr %stackloc, #SomeCase
switch_enum_addr %stackloc ...
This works even if the enum is resilient and the case does not have a payload. As long as we don't have opaque values in SIL we need this peephole to optimize the pattern.
This change fixes the code generation for Float.rounded().
rdar://problem/46353885
31 lines
991 B
Swift
31 lines
991 B
Swift
// RUN: %target-swift-frontend -parse-as-library -O -emit-sil %s | %FileCheck %s
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// REQUIRES: swift_stdlib_no_asserts,optimized_stdlib,CPU=x86_64
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// This is an end-to-end test to ensure that the optimizer can propagate
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// resilient enum cases (FloatingPointRoundingRule) and produces optimal
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// code for Float.rounded().
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// CHECK-LABEL: sil @{{.*}}propagate_roundingmode
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// CHECK: bb0:
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// CHECK-NEXT: %0 = integer_literal {{.*}}, 0
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// CHECK-NEXT: %1 = struct $Int (%0 {{.*}})
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// CHECK-NEXT: return %1
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public func propagate_roundingmode() -> Int {
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let rm = FloatingPointRoundingRule.toNearestOrEven
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switch rm {
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case .toNearestOrAwayFromZero:
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return 1
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default:
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return 0
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}
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}
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// CHECK-LABEL: sil @{{.*}}round_floating_point
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// CHECK: bb0({{.*}}):
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// CHECK: [[R:%[0-9]+]] = builtin "int_round{{.*}}"
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// CHECK: [[F:%[0-9]+]] = struct $Float ([[R]]
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// CHECK: return [[F]]
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public func round_floating_point(_ x: Float) -> Float {
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return x.rounded()
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}
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