1e67c90e2c
XLA is a compiler-based linear algebra execution engine that targets CPUs, GPUs and custom accelerators. XLA is still experimental; we are releasing it early to get the community involved. Change: 143990941
47 lines
1.4 KiB
C++
47 lines
1.4 KiB
C++
/* Copyright 2017 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/compiler/aot/benchmark.h"
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#include "tensorflow/compiler/aot/test_graph_tfadd.h"
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#include "tensorflow/core/platform/test.h"
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namespace tensorflow {
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namespace tfcompile {
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namespace benchmark {
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namespace {
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// There isn't much we can verify in a stable fashion, so we just run the
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// benchmark with max_iters, and ensure we end up with that many iter stats.
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TEST(Benchmark, Benchmark) {
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AddComp add;
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Options options;
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options.max_iters = 1;
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Stats stats1;
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Benchmark(options, [&] { add.Run(); }, &stats1);
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EXPECT_EQ(stats1.per_iter_us.size(), 1);
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options.max_iters = 5;
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Stats stats5;
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Benchmark(options, [&] { add.Run(); }, &stats5);
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EXPECT_EQ(stats5.per_iter_us.size(), 5);
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}
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} // namespace
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} // namespace benchmark
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} // namespace tfcompile
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} // namespace tensorflow
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