STT-tensorflow/tensorflow/lite/model_flex_test.cc
Austin Anderson 61c6c84964 Migrate TensorFlow Lite out of tensorflow/contrib
This change moves //tensorflow/contrib/lite to //tensorflow/lite in preparation
for TensorFlow 2.0's deprecation of contrib/. If you refer to TF Lite build
targets or headers, you will need to update them manually. If you use TF Lite
from the TensorFlow python package, "tf.contrib.lite" now points to "tf.lite".
Please update your imports as soon as possible.

For more details, see https://groups.google.com/a/tensorflow.org/forum/#!topic/tflite/iIIXOTOFvwQ

@angersson and @aselle are conducting this migration. Please contact them if
you have any further questions.

PiperOrigin-RevId: 219536476
2018-10-31 14:20:28 -07:00

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1.5 KiB
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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/lite/model.h"
#include <gtest/gtest.h>
#include "tensorflow/lite/kernels/register.h"
#include "tensorflow/lite/testing/util.h"
namespace tflite {
// Ensures that a model with TensorFlow ops can be imported as long as the
// appropriate delegate is linked into the client.
TEST(FlexModel, WithFlexDelegate) {
auto model = FlatBufferModel::BuildFromFile(
"tensorflow/lite/testdata/multi_add_flex.bin");
ASSERT_TRUE(model);
std::unique_ptr<Interpreter> interpreter;
ASSERT_EQ(InterpreterBuilder(*model,
ops::builtin::BuiltinOpResolver{})(&interpreter),
kTfLiteOk);
ASSERT_TRUE(interpreter);
ASSERT_EQ(interpreter->AllocateTensors(), kTfLiteOk);
}
} // namespace tflite
int main(int argc, char** argv) {
::tflite::LogToStderr();
::testing::InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}