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-rw-r--r--tensorflow/core/util/stats_calculator_test.cc76
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+/* Copyright 2018 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/core/util/stats_calculator.h"
+#include "tensorflow/core/platform/test.h"
+
+namespace tensorflow {
+namespace {
+
+using Detail = StatsCalculator::Detail;
+
+TEST(StatsCalculatorTest, TotalTimeMs) {
+ auto options = StatSummarizerOptions();
+ StatsCalculator calc(options);
+
+ EXPECT_EQ(0, calc.num_runs());
+ calc.UpdateRunTotalUs(1);
+
+ EXPECT_EQ(1, calc.num_runs());
+ calc.UpdateRunTotalUs(2);
+
+ EXPECT_EQ(2, calc.num_runs());
+ auto run_time_us = calc.run_total_us();
+ EXPECT_EQ(1, run_time_us.min());
+ EXPECT_FLOAT_EQ(1.5, run_time_us.avg());
+}
+
+TEST(StatsCalculatorTest, AddNodeStatsUpdate) {
+ auto options = StatSummarizerOptions();
+ StatsCalculator calc(options);
+ EXPECT_TRUE(calc.GetDetails().empty());
+
+ const int64_t node1_run_order = 1;
+ const int64_t run1_start_us = 1;
+ const int64_t run1_end_us = 2;
+ const int64_t run1_mem_used = 45;
+ calc.AddNodeStats("node1", "type_1", node1_run_order, run1_start_us,
+ run1_end_us, run1_mem_used);
+ ASSERT_EQ(1, calc.GetDetails().size());
+ const Detail& detail = calc.GetDetails().at("node1");
+ EXPECT_EQ(1, detail.times_called);
+ EXPECT_EQ("node1", detail.name);
+ EXPECT_EQ("type_1", detail.type);
+ EXPECT_EQ(node1_run_order, detail.run_order);
+
+ const int64_t run2_start_us = 3;
+ const int64_t run2_end_us = 5;
+ const int64_t run2_mem_used = 145;
+ calc.AddNodeStats("node1", "type_1", node1_run_order, run2_start_us,
+ run2_end_us, run2_mem_used);
+ EXPECT_EQ(1, calc.GetDetails().size());
+
+ EXPECT_EQ(2, detail.times_called);
+ EXPECT_EQ("node1", detail.name);
+ EXPECT_EQ("type_1", detail.type);
+ EXPECT_EQ(node1_run_order, detail.run_order);
+
+ EXPECT_EQ(run1_start_us + run2_start_us, detail.start_us.sum());
+ EXPECT_EQ(run1_end_us + run2_end_us, detail.rel_end_us.sum());
+ EXPECT_EQ(run1_mem_used + run2_mem_used, detail.mem_used.sum());
+}
+
+} // namespace
+} // namespace tensorflow