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authorGravatar Eugene Brevdo <ebrevdo@gmail.com>2016-02-26 09:06:15 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2016-02-26 13:22:28 -0800
commitfdfbd3af7a25410a999cbd6a0733e36ddd1ddb14 (patch)
tree770c2c86af2b424a6c653e7cf4ec55b6205defc1 /tensorflow/core/util/reporter.cc
parentdff7bb7c736787b05d5cd24aaf64cb787a68ca53 (diff)
Final fix to TestReporter (hopefully).
Change: 115675044
Diffstat (limited to 'tensorflow/core/util/reporter.cc')
-rw-r--r--tensorflow/core/util/reporter.cc75
1 files changed, 75 insertions, 0 deletions
diff --git a/tensorflow/core/util/reporter.cc b/tensorflow/core/util/reporter.cc
new file mode 100644
index 0000000000..1fe25afa66
--- /dev/null
+++ b/tensorflow/core/util/reporter.cc
@@ -0,0 +1,75 @@
+/* Copyright 2016 Google Inc. 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/core/util/reporter.h"
+
+#include "tensorflow/core/lib/core/errors.h"
+#include "tensorflow/core/lib/strings/str_util.h"
+#include "tensorflow/core/platform/mutex.h"
+
+namespace tensorflow {
+
+TestReporter::TestReporter(const string& fname, const string& test_name)
+ : closed_(true), fname_(fname), test_name_(test_name) {}
+
+Status TestReporter::Close() {
+ if (closed_) return Status::OK();
+
+ string entry_string;
+ if (!protobuf::TextFormat::PrintToString(benchmark_entry_, &entry_string)) {
+ return errors::Internal("Could not serialize to string: ",
+ benchmark_entry_.DebugString());
+ }
+
+ TF_RETURN_IF_ERROR(log_file_->Append(entry_string));
+ benchmark_entry_.Clear();
+
+ closed_ = true;
+
+ return log_file_->Close();
+}
+
+Status TestReporter::Benchmark(int64 iters, double cpu_time, double wall_time,
+ double throughput) {
+ if (closed_) return Status::OK();
+ benchmark_entry_.set_iters(iters);
+ benchmark_entry_.set_cpu_time(cpu_time);
+ benchmark_entry_.set_wall_time(wall_time);
+ benchmark_entry_.set_throughput(throughput);
+ return Status::OK();
+}
+
+Status TestReporter::Initialize() {
+ if (fname_.empty()) {
+ return Status::OK();
+ }
+ string mangled_fname = strings::StrCat(
+ fname_, str_util::Join(str_util::Split(test_name_, '/'), "__"));
+ Env* env = Env::Default();
+ if (env->FileExists(mangled_fname)) {
+ return errors::InvalidArgument("Cannot create TestReporter, file exists: ",
+ mangled_fname);
+ }
+ WritableFile* log_file;
+ TF_RETURN_IF_ERROR(env->NewWritableFile(mangled_fname, &log_file));
+ log_file_.reset(log_file);
+ TF_RETURN_IF_ERROR(log_file->Flush());
+
+ benchmark_entry_.set_name(test_name_);
+ closed_ = false;
+ return Status::OK();
+}
+
+} // namespace tensorflow