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/* Copyright 2016 The TensorFlow Authors All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include "tensorflow/tools/tfprof/internal/print_model_analysis.h"
#include <stdio.h>
#include <memory>
#include <utility>
#include "tensorflow/c/checkpoint_reader.h"
#include "tensorflow/core/framework/graph.pb.h"
#include "tensorflow/core/lib/core/errors.h"
#include "tensorflow/core/protobuf/config.pb.h"
#include "tensorflow/tools/tfprof/internal/advisor/tfprof_advisor.h"
#include "tensorflow/tools/tfprof/internal/tfprof_options.h"
#include "tensorflow/tools/tfprof/internal/tfprof_stats.h"
#include "tensorflow/tools/tfprof/tfprof_log.pb.h"
#include "tensorflow/tools/tfprof/tfprof_options.pb.h"
#include "tensorflow/tools/tfprof/tfprof_output.pb.h"
namespace tensorflow {
namespace tfprof {
namespace {
TFStats* tf_stat = nullptr;
string RunProfile(const string& command, const string& options,
TFStats* tf_stats) {
if (command == kCmds[4]) {
AdvisorOptionsProto option_pb;
if (!option_pb.ParseFromString(options)) {
fprintf(stderr, "Cannot parse AdvisorOptionsProto\n");
return "";
}
tf_stats->BuildAllViews();
return Advisor(tf_stats).Advise(option_pb).SerializeAsString();
} else {
tf_stats->BuildView(command);
}
Options opts;
tensorflow::Status s = Options::FromProtoStr(options, &opts);
if (!s.ok()) {
fprintf(stderr, "%s\n", s.ToString().c_str());
return "";
}
if (opts.output_type == kOutput[1]) {
printf("\n=========================Options=============================\n");
printf("%s", opts.ToString().c_str());
printf("\n==================Model Analysis Report======================\n");
string ret = "";
if (command == kCmds[2] || command == kCmds[3]) {
ret = tf_stats->ShowMultiGraphNode(command, opts).SerializeAsString();
} else if (command == kCmds[0] || command == kCmds[1]) {
ret = tf_stats->ShowGraphNode(command, opts).SerializeAsString();
} else {
fprintf(stderr, "Unknown command: %s\n", command.c_str());
}
printf("\n======================End of Report==========================\n");
fflush(stdout);
return ret;
}
if (command == kCmds[2] || command == kCmds[3]) {
return tf_stats->ShowMultiGraphNode(command, opts).SerializeAsString();
} else if (command == kCmds[0] || command == kCmds[1]) {
return tf_stats->ShowGraphNode(command, opts).SerializeAsString();
} else {
fprintf(stderr, "Unknown command: %s\n", command.c_str());
return "";
}
}
} // namespace
bool NewProfiler(const string* graph, const string* op_log) {
CHECK(!tf_stat) << "Currently only 1 living tfprof profiler is allowed";
CHECK(graph) << "graph mustn't be null";
std::unique_ptr<GraphDef> graph_ptr(new GraphDef());
graph_ptr->ParseFromString(*graph);
std::unique_ptr<OpLog> op_log_ptr;
if (op_log && !op_log->empty()) {
op_log_ptr.reset(new OpLog());
op_log_ptr->ParseFromString(*op_log);
}
tf_stat = new TFStats(std::move(graph_ptr), nullptr, std::move(op_log_ptr),
nullptr);
return true;
}
void DeleteProfiler() {
delete tf_stat;
tf_stat = nullptr;
}
void AddStep(int64 step, const string* run_meta, const string* op_log) {
CHECK(tf_stat);
CHECK(run_meta && !run_meta->empty());
// TODO(xpan): Better error handling.
std::unique_ptr<RunMetadata> run_meta_ptr(new RunMetadata());
run_meta_ptr->ParseFromString(*run_meta);
tf_stat->AddRunMeta(step, std::move(run_meta_ptr));
std::unique_ptr<OpLog> op_log_ptr;
if (op_log && !op_log->empty()) {
op_log_ptr.reset(new OpLog());
op_log_ptr->ParseFromString(*op_log);
}
tf_stat->AddOpLog(std::move(op_log_ptr));
}
string Profile(const string* command, const string* options) {
CHECK(tf_stat);
CHECK(command) << "command mustn't be null";
CHECK(options) << "options mustn't be null";
return RunProfile(*command, *options, tf_stat);
}
string PrintModelAnalysis(const string* graph, const string* run_meta,
const string* op_log, const string* command,
const string* options) {
CHECK(graph) << "graph mustn't be null";
CHECK(command) << "command mustn't be null";
CHECK(options) << "options mustn't be null";
std::unique_ptr<GraphDef> graph_ptr(new GraphDef());
graph_ptr->ParseFromString(*graph);
std::unique_ptr<RunMetadata> run_meta_ptr;
if (run_meta && !run_meta->empty()) {
run_meta_ptr.reset(new RunMetadata());
run_meta_ptr->ParseFromString(*run_meta);
}
std::unique_ptr<OpLog> op_log_ptr;
if (op_log && !op_log->empty()) {
op_log_ptr.reset(new OpLog());
op_log_ptr->ParseFromString(*op_log);
}
// TODO(xpan): Maybe need to init the checkpoint reader?
std::unique_ptr<checkpoint::CheckpointReader> ckpt_reader;
TFStats tf_stats(std::move(graph_ptr), std::move(run_meta_ptr),
std::move(op_log_ptr), std::move(ckpt_reader));
return RunProfile(*command, *options, &tf_stats);
}
} // namespace tfprof
} // namespace tensorflow
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