62fc44ca3c
Different training algorithms may produce models that, besides the main policy output (i.e. inline/don't inline), produce additional outputs that are necessary for the next training stage. To facilitate this, in development mode, we require the training policy infrastructure produce a description of the outputs that are interesting to it, in the form of a JSON file. We special-case the first entry in the JSON file as the inlining decision - we care about its value, so we can guide inlining during training - but treat the rest as opaque data that we just copy over to the training log. Differential Revision: https://reviews.llvm.org/D85674
57 lines
2.2 KiB
LLVM
57 lines
2.2 KiB
LLVM
; Test that we can produce a log if we have or do not have a model, in development mode.
|
|
; REQUIRES: have_tf_api
|
|
; 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
|
|
; 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-prefix=EXTRA-OUTPUTS
|
|
; 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
|
|
|
|
target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
|
|
target triple = "x86_64-pc-linux-gnu"
|
|
|
|
declare i32 @f1(i32)
|
|
declare i32 @f2(i32)
|
|
|
|
define dso_local i32 @branches(i32) {
|
|
%cond = icmp slt i32 %0, 3
|
|
br i1 %cond, label %then, label %else
|
|
|
|
then:
|
|
%ret.1 = call i32 @f1(i32 %0)
|
|
br label %last.block
|
|
|
|
else:
|
|
%ret.2 = call i32 @f2(i32 %0)
|
|
br label %last.block
|
|
|
|
last.block:
|
|
%ret = phi i32 [%ret.1, %then], [%ret.2, %else]
|
|
ret i32 %ret
|
|
}
|
|
|
|
define dso_local i32 @top() {
|
|
%1 = call i32 @branches(i32 2)
|
|
ret i32 %1
|
|
}
|
|
|
|
|
|
!llvm.module.flags = !{!0}
|
|
!llvm.ident = !{!1}
|
|
|
|
!0 = !{i32 1, !"wchar_size", i32 4}
|
|
!1 = !{!"clang version 7.0.0-6 (tags/RELEASE_700/final)"}
|
|
|
|
; Check we produce a protobuf that has inlining decisions and rewards.
|
|
; CHECK: feature_lists: {
|
|
; CHECK: key: "inlining_decision" value: {
|
|
; CHECK-NEXT: feature: { int64_list: { value: [1] } }
|
|
; CHECK-NEXT: }
|
|
; CHECK-NEXT: }
|
|
; CHECK-NEXT: feature_list: {
|
|
; CHECK-NEXT: key: "delta_size" value: {
|
|
; CHECK-NEXT: feature: { int64_list: { value: [0] } }
|
|
; CHECK-NEXT: }
|
|
; CHECK-NEXT: }
|
|
; CHECK-NOT: fake_extra_output
|
|
; EXTRA-OUTPUTS: key: "fake_extra_output" value: {
|
|
; EXTRA-OUTPUTS-NEXT: feature: { int64_list: { value: [1] } }
|
|
; EXTRA-OUTPUTS-NEXT: }
|
|
; EXTRA-OUTPUTS-NEXT: } |