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authorDimitry Andric <dim@FreeBSD.org>2023-09-02 21:17:18 +0000
committerDimitry Andric <dim@FreeBSD.org>2023-12-08 17:34:50 +0000
commit06c3fb2749bda94cb5201f81ffdb8fa6c3161b2e (patch)
tree62f873df87c7c675557a179e0c4c83fe9f3087bc /contrib/llvm-project/llvm/lib/Analysis/InteractiveModelRunner.cpp
parentcf037972ea8863e2bab7461d77345367d2c1e054 (diff)
parent7fa27ce4a07f19b07799a767fc29416f3b625afb (diff)
Diffstat (limited to 'contrib/llvm-project/llvm/lib/Analysis/InteractiveModelRunner.cpp')
-rw-r--r--contrib/llvm-project/llvm/lib/Analysis/InteractiveModelRunner.cpp82
1 files changed, 82 insertions, 0 deletions
diff --git a/contrib/llvm-project/llvm/lib/Analysis/InteractiveModelRunner.cpp b/contrib/llvm-project/llvm/lib/Analysis/InteractiveModelRunner.cpp
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+//===- InteractiveModelRunner.cpp - noop ML model runner ----------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// A runner that communicates with an external agent via 2 file descriptors.
+//===----------------------------------------------------------------------===//
+#include "llvm/Analysis/InteractiveModelRunner.h"
+#include "llvm/Analysis/MLModelRunner.h"
+#include "llvm/Analysis/TensorSpec.h"
+#include "llvm/Support/CommandLine.h"
+#include "llvm/Support/ErrorHandling.h"
+#include "llvm/Support/FileSystem.h"
+#include "llvm/Support/raw_ostream.h"
+
+using namespace llvm;
+
+static cl::opt<bool> DebugReply(
+ "interactive-model-runner-echo-reply", cl::init(false), cl::Hidden,
+ cl::desc("The InteractiveModelRunner will echo back to stderr "
+ "the data received from the host (for debugging purposes)."));
+
+InteractiveModelRunner::InteractiveModelRunner(
+ LLVMContext &Ctx, const std::vector<TensorSpec> &Inputs,
+ const TensorSpec &Advice, StringRef OutboundName, StringRef InboundName)
+ : MLModelRunner(Ctx, MLModelRunner::Kind::Interactive, Inputs.size()),
+ InputSpecs(Inputs), OutputSpec(Advice),
+ InEC(sys::fs::openFileForRead(InboundName, Inbound)),
+ OutputBuffer(OutputSpec.getTotalTensorBufferSize()) {
+ if (InEC) {
+ Ctx.emitError("Cannot open inbound file: " + InEC.message());
+ return;
+ }
+ {
+ auto OutStream = std::make_unique<raw_fd_ostream>(OutboundName, OutEC);
+ if (OutEC) {
+ Ctx.emitError("Cannot open outbound file: " + OutEC.message());
+ return;
+ }
+ Log = std::make_unique<Logger>(std::move(OutStream), InputSpecs, Advice,
+ /*IncludeReward=*/false, Advice);
+ }
+ // Just like in the no inference case, this will allocate an appropriately
+ // sized buffer.
+ for (size_t I = 0; I < InputSpecs.size(); ++I)
+ setUpBufferForTensor(I, InputSpecs[I], nullptr);
+ Log->flush();
+}
+
+InteractiveModelRunner::~InteractiveModelRunner() {
+ sys::fs::file_t FDAsOSHandle = sys::fs::convertFDToNativeFile(Inbound);
+ sys::fs::closeFile(FDAsOSHandle);
+}
+
+void *InteractiveModelRunner::evaluateUntyped() {
+ Log->startObservation();
+ for (size_t I = 0; I < InputSpecs.size(); ++I)
+ Log->logTensorValue(I, reinterpret_cast<const char *>(getTensorUntyped(I)));
+ Log->endObservation();
+ Log->flush();
+
+ size_t InsPoint = 0;
+ char *Buff = OutputBuffer.data();
+ const size_t Limit = OutputBuffer.size();
+ while (InsPoint < Limit) {
+ auto ReadOrErr = ::sys::fs::readNativeFile(
+ sys::fs::convertFDToNativeFile(Inbound),
+ {Buff + InsPoint, OutputBuffer.size() - InsPoint});
+ if (ReadOrErr.takeError()) {
+ Ctx.emitError("Failed reading from inbound file");
+ break;
+ }
+ InsPoint += *ReadOrErr;
+ }
+ if (DebugReply)
+ dbgs() << OutputSpec.name() << ": "
+ << tensorValueToString(OutputBuffer.data(), OutputSpec) << "\n";
+ return OutputBuffer.data();
+}