3a3f914539
Manual setting such as debug.tflite.trace Android system property is not needed when compiled with this option. PiperOrigin-RevId: 329398936 Change-Id: I7bcf62bb32676a5c206d025ffa5d668d93f38548
113 lines
3.8 KiB
C++
113 lines
3.8 KiB
C++
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include "tensorflow/lite/profiling/atrace_profiler.h"
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#include <dlfcn.h>
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#if defined(__ANDROID__)
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#include <sys/system_properties.h>
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#endif
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#include <type_traits>
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#include "absl/strings/str_cat.h"
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namespace tflite {
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namespace profiling {
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// Profiler reporting to ATrace.
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class ATraceProfiler : public tflite::Profiler {
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public:
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using FpIsEnabled = std::add_pointer<bool()>::type;
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using FpBeginSection = std::add_pointer<void(const char*)>::type;
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using FpEndSection = std::add_pointer<void()>::type;
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ATraceProfiler() {
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handle_ = dlopen("libandroid.so", RTLD_NOW | RTLD_LOCAL);
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if (handle_) {
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// Use dlsym() to prevent crashes on devices running Android 5.1
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// (API level 22) or lower.
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atrace_is_enabled_ =
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reinterpret_cast<FpIsEnabled>(dlsym(handle_, "ATrace_isEnabled"));
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atrace_begin_section_ = reinterpret_cast<FpBeginSection>(
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dlsym(handle_, "ATrace_beginSection"));
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atrace_end_section_ =
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reinterpret_cast<FpEndSection>(dlsym(handle_, "ATrace_endSection"));
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if (!atrace_is_enabled_ || !atrace_begin_section_ ||
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!atrace_end_section_) {
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dlclose(handle_);
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handle_ = nullptr;
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}
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}
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}
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~ATraceProfiler() override {
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if (handle_) {
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dlclose(handle_);
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}
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}
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uint32_t BeginEvent(const char* tag, EventType event_type,
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int64_t event_metadata1,
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int64_t event_metadata2) override {
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if (handle_ && atrace_is_enabled_()) {
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// Note: When recording an OPERATOR_INVOKE_EVENT, we have recorded the op
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// name
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// as tag, node index as event_metadata1 and subgraph index as
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// event_metadata2. See the macro TFLITE_SCOPED_TAGGED_OPERATOR_PROFILE
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// defined in tensorflow/lite/core/api/profiler.h for details.
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// Regardless the 'event_type', we encode the perfetto event name as
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// tag@event_metadata1/event_metadata2. In case of OPERATOR_INVOKE_EVENT,
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// the perfetto event name will be op_name@node_index/subgraph_index
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std::string trace_event_tag =
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absl::StrCat(tag, "@", event_metadata1, "/", event_metadata2);
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atrace_begin_section_(trace_event_tag.c_str());
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}
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return 0;
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}
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void EndEvent(uint32_t event_handle) override {
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if (handle_) {
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atrace_end_section_();
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}
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}
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private:
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// Handle to libandroid.so library. Null if not supported.
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void* handle_;
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FpIsEnabled atrace_is_enabled_;
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FpBeginSection atrace_begin_section_;
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FpEndSection atrace_end_section_;
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};
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std::unique_ptr<tflite::Profiler> MaybeCreateATraceProfiler() {
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#if defined(TFLITE_ENABLE_DEFAULT_PROFILER)
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return std::unique_ptr<tflite::Profiler>(new ATraceProfiler());
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#else // TFLITE_ENABLE_DEFAULT_PROFILER
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#if defined(__ANDROID__)
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constexpr char kTraceProp[] = "debug.tflite.trace";
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char trace_enabled[PROP_VALUE_MAX] = "";
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int length = __system_property_get(kTraceProp, trace_enabled);
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if (length == 1 && trace_enabled[0] == '1') {
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return std::unique_ptr<tflite::Profiler>(new ATraceProfiler());
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}
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#endif // __ANDROID__
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return nullptr;
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#endif // TFLITE_ENABLE_DEFAULT_PROFILER
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}
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} // namespace profiling
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} // namespace tflite
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