96 lines
3.6 KiB
C++
96 lines
3.6 KiB
C++
/* Copyright 2019 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 "absl/strings/str_cat.h"
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#include "tensorflow/compiler/jit/tests/auto_clustering_test_helper.h"
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#include "tensorflow/core/lib/core/status_test_util.h"
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namespace tensorflow {
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namespace {
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class AutoClusteringTestImpl : public AutoClusteringTest {
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protected:
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// Test auto-clustering with a proto text file ${key}.pbtxt.
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Status RunAutoClusteringTestWithPbtxt(absl::string_view key) {
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string file_name_without_extension =
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absl::StrCat(testing::TensorFlowSrcRoot(), "/compiler/jit/tests/", key);
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return AutoClusteringTest::RunAutoClusteringTestWithPbtxt(
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absl::StrCat(file_name_without_extension, ".pbtxt"),
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absl::StrCat(file_name_without_extension, ".golden_summary"));
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}
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// Test auto-clustering with a gzipped proto text file ${key}.pbtxt.gz.
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Status RunAutoClusteringTestWithGzippedPbtxt(absl::string_view key) {
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string file_name_without_extension =
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absl::StrCat(testing::TensorFlowSrcRoot(), "/compiler/jit/tests/", key);
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return AutoClusteringTest::RunAutoClusteringTestWithGzippedPbtxt(
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absl::StrCat(file_name_without_extension, ".pbtxt.gz"),
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absl::StrCat(file_name_without_extension, ".golden_summary"));
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}
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};
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TEST_F(AutoClusteringTestImpl, KerasImagenetMain) {
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// Generated from
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//
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// TARGET_PATH=tensorflow_models/official/vision/image_classification \
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// bazel run -c opt --config=cuda ${TARGET_PATH}:resnet_imagenet_main \
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// -- --skip_eval --num_gpus=1 --dtype=fp16 --batch_size=192 \
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// --train_steps=210 --enable_xla --enable_eager=true
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//
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// At CL 245846452
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TF_ASSERT_OK(RunAutoClusteringTestWithPbtxt("keras_imagenet_main"));
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}
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TEST_F(AutoClusteringTestImpl, KerasImagenetMainGraphMode) {
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// Generated from
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//
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// TARGET_PATH=tensorflow_models/official/vision/image_classification \
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// bazel run -c opt --config=cuda ${TARGET_PATH}:resnet_imagenet_main \
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// -- --use_synthetic_data --num_gpus=1 --batch_size=117 --train_steps=600 \
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// --skip_eval=True --logtostderr --enable_xla
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TF_ASSERT_OK(
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RunAutoClusteringTestWithPbtxt("keras_imagenet_main_graph_mode"));
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}
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TEST_F(AutoClusteringTestImpl, OpenSeq2SeqGNMT) {
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// Model is from https://github.com/NVIDIA/OpenSeq2Seq.
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// Generated from
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//
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// python run.py \
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// --config_file=example_configs/text2text/en-de/en-de-gnmt-like-4GPUs.py \
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// --use_xla_jit
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TF_ASSERT_OK(
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RunAutoClusteringTestWithGzippedPbtxt("opens2s_gnmt_mixed_precision"));
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}
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#if defined(PLATFORM_GOOGLE)
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Status BenchmarkHelper(absl::string_view key, benchmark::State& state) {
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return BenchmarkMarkForCompilation(
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absl::StrCat(testing::TensorFlowSrcRoot(), "/compiler/jit/tests/", key,
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".pbtxt"),
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state);
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}
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void BM_MarkForCompilationPass_KerasImagenetMain(benchmark::State& state) {
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TF_CHECK_OK(BenchmarkHelper("keras_imagenet_main", state));
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}
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BENCHMARK(BM_MarkForCompilationPass_KerasImagenetMain);
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#endif // PLATFORM_GOOGLE
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} // namespace
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} // namespace tensorflow
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