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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/contrib/lite/core/api/flatbuffer_conversions.h"
#include <cstring>
#include <gtest/gtest.h>
#include "tensorflow/contrib/lite/c/builtin_op_data.h"
namespace tflite {
namespace {
class MockErrorReporter : public ErrorReporter {
public:
MockErrorReporter() : buffer_size_(0) {}
int Report(const char* format, va_list args) override {
buffer_size_ = vsnprintf(buffer_, kBufferSize, format, args);
return buffer_size_;
}
char* GetBuffer() { return buffer_; }
int GetBufferSize() { return buffer_size_; }
private:
static constexpr int kBufferSize = 256;
char buffer_[kBufferSize];
int buffer_size_;
};
} // namespace
TEST(FlatbufferConversions, TestParseOpDataConv) {
MockErrorReporter mock_reporter;
ErrorReporter* reporter = &mock_reporter;
flatbuffers::FlatBufferBuilder builder;
flatbuffers::Offset<void> conv_options =
CreateConv2DOptions(builder, Padding_SAME, 1, 2,
ActivationFunctionType_RELU, 3, 4)
.Union();
flatbuffers::Offset<Operator> conv_offset = CreateOperatorDirect(
builder, 0, nullptr, nullptr, BuiltinOptions_Conv2DOptions, conv_options,
nullptr, CustomOptionsFormat_FLEXBUFFERS, nullptr);
builder.Finish(conv_offset);
void* conv_pointer = builder.GetBufferPointer();
const Operator* conv_op = flatbuffers::GetRoot<Operator>(conv_pointer);
void* output_data = nullptr;
EXPECT_EQ(kTfLiteOk, ParseOpData(conv_op, BuiltinOperator_CONV_2D, reporter,
&output_data));
EXPECT_NE(nullptr, output_data);
TfLiteConvParams* params = reinterpret_cast<TfLiteConvParams*>(output_data);
EXPECT_EQ(kTfLitePaddingSame, params->padding);
EXPECT_EQ(1, params->stride_width);
EXPECT_EQ(2, params->stride_height);
EXPECT_EQ(kTfLiteActRelu, params->activation);
EXPECT_EQ(3, params->dilation_width_factor);
EXPECT_EQ(4, params->dilation_height_factor);
free(output_data);
}
TEST(FlatbufferConversions, TestParseOpDataCustom) {
MockErrorReporter mock_reporter;
ErrorReporter* reporter = &mock_reporter;
flatbuffers::FlatBufferBuilder builder;
flatbuffers::Offset<void> null_options;
flatbuffers::Offset<Operator> custom_offset = CreateOperatorDirect(
builder, 0, nullptr, nullptr, BuiltinOptions_NONE, null_options, nullptr,
CustomOptionsFormat_FLEXBUFFERS, nullptr);
builder.Finish(custom_offset);
void* custom_pointer = builder.GetBufferPointer();
const Operator* custom_op = flatbuffers::GetRoot<Operator>(custom_pointer);
void* output_data = nullptr;
EXPECT_EQ(kTfLiteOk, ParseOpData(custom_op, BuiltinOperator_CUSTOM, reporter,
&output_data));
EXPECT_EQ(nullptr, output_data);
}
TEST(FlatbufferConversions, TestConvertTensorType) {
MockErrorReporter mock_reporter;
ErrorReporter* reporter = &mock_reporter;
TfLiteType type;
EXPECT_EQ(kTfLiteOk, ConvertTensorType(TensorType_FLOAT32, &type, reporter));
EXPECT_EQ(kTfLiteFloat32, type);
}
} // namespace tflite
int main(int argc, char** argv) {
::testing::InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}
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