8c63df2416
If we use training algorithms that don't need partial rewards, we don't need to worry about an ir2native model. In that case, training logs won't contain a 'delta_size' feature either (since that's the partial reward). Differential Revision: https://reviews.llvm.org/D86481
60 lines
2.6 KiB
LLVM
60 lines
2.6 KiB
LLVM
; Test that we can produce a log if we have or do not have a model, in development mode.
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; REQUIRES: have_tf_api
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; RUN: opt -enable-ml-inliner=development -passes=scc-oz-module-inliner -training-log=- -ml-inliner-model-under-training=%S/../../../../lib/Analysis/models/inliner -ml-inliner-ir2native-model=%S/../../../../unittests/Analysis/Inputs/ir2native_x86_64_model -S < %s | FileCheck %s
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; RUN: opt -enable-ml-inliner=development -passes=scc-oz-module-inliner -training-log=- -ml-inliner-model-under-training=%S/../../../../lib/Analysis/models/inliner -ml-inliner-ir2native-model=%S/../../../../unittests/Analysis/Inputs/ir2native_x86_64_model -ml-inliner-output-spec-override=%S/Inputs/test_output_spec.json -S < %s | FileCheck %s --check-prefixes=EXTRA-OUTPUTS,CHECK
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; RUN: opt -enable-ml-inliner=development -passes=scc-oz-module-inliner -training-log=- -ml-inliner-ir2native-model=%S/../../../../unittests/Analysis/Inputs/ir2native_x86_64_model -S < %s | FileCheck %s
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; RUN: opt -enable-ml-inliner=development -passes=scc-oz-module-inliner -training-log=- -ml-inliner-model-under-training=%S/../../../../lib/Analysis/models/inliner -S < %s | FileCheck %s --check-prefix=NOREWARD
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; RUN: opt -enable-ml-inliner=development -passes=scc-oz-module-inliner -training-log=- -S < %s | FileCheck %s --check-prefix=NOREWARD
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target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
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target triple = "x86_64-pc-linux-gnu"
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declare i32 @f1(i32)
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declare i32 @f2(i32)
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define dso_local i32 @branches(i32) {
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%cond = icmp slt i32 %0, 3
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br i1 %cond, label %then, label %else
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then:
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%ret.1 = call i32 @f1(i32 %0)
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br label %last.block
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else:
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%ret.2 = call i32 @f2(i32 %0)
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br label %last.block
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last.block:
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%ret = phi i32 [%ret.1, %then], [%ret.2, %else]
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ret i32 %ret
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}
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define dso_local i32 @top() {
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%1 = call i32 @branches(i32 2)
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ret i32 %1
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}
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!llvm.module.flags = !{!0}
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!llvm.ident = !{!1}
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!0 = !{i32 1, !"wchar_size", i32 4}
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!1 = !{!"clang version 7.0.0-6 (tags/RELEASE_700/final)"}
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; Check we produce a protobuf that has inlining decisions and rewards.
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; CHECK: feature_lists: {
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; CHECK: key: "inlining_decision" value: {
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; CHECK-NEXT: feature: { int64_list: { value: [1] } }
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; CHECK-NEXT: }
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; CHECK-NEXT: }
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; CHECK-NEXT: feature_list: {
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; CHECK-NEXT: key: "delta_size" value: {
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; CHECK-NEXT: feature: { int64_list: { value: [0] } }
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; CHECK-NEXT: }
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; CHECK-NEXT: }
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; NOREWARD-NOT: key: "delta_size" value: {
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; CHECK-NOT: fake_extra_output
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; EXTRA-OUTPUTS: key: "fake_extra_output" value: {
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; EXTRA-OUTPUTS-NEXT: feature: { int64_list: { value: [1] } }
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; EXTRA-OUTPUTS-NEXT: }
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; EXTRA-OUTPUTS-NEXT: } |