1 files changed, 113 insertions, 0 deletions
diff --git a/tensorflow/contrib/lite/delegates/eager/util_test.cc b/tensorflow/contrib/lite/delegates/eager/util_test.cc
new file mode 100644
index 0000000000..c4fbf54127
--- /dev/null
+++ b/tensorflow/contrib/lite/delegates/eager/util_test.cc
@@ -0,0 +1,113 @@
+/* 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/delegates/eager/util.h"
+
+#include <cstdarg>
+
+#include <gmock/gmock.h>
+#include <gtest/gtest.h>
+#include "tensorflow/contrib/lite/testing/util.h"
+
+namespace tflite {
+namespace eager {
+namespace {
+
+using tensorflow::DT_FLOAT;
+using tensorflow::Tensor;
+using ::testing::ElementsAre;
+
+struct TestContext : public TfLiteContext {
+  string error;
+  std::vector<int> new_size;
+};
+
+void ReportError(TfLiteContext* context, const char* format, ...) {
+  TestContext* c = static_cast<TestContext*>(context);
+  const size_t kBufferSize = 1024;
+  char temp_buffer[kBufferSize];
+
+  va_list args;
+  va_start(args, format);
+  vsnprintf(temp_buffer, kBufferSize, format, args);
+  va_end(args);
+
+  c->error = temp_buffer;
+}
+
+TfLiteStatus ResizeTensor(TfLiteContext* context, TfLiteTensor* tensor,
+                          TfLiteIntArray* new_size) {
+  TestContext* c = static_cast<TestContext*>(context);
+  c->new_size.clear();
+  for (int i = 0; i < new_size->size; ++i) {
+    c->new_size.push_back(new_size->data[i]);
+  }
+  TfLiteIntArrayFree(new_size);
+  return kTfLiteOk;
+}
+
+TEST(UtilTest, ConvertStatus) {
+  TestContext context;
+  context.ReportError = ReportError;
+
+  EXPECT_EQ(ConvertStatus(&context, tensorflow::errors::Internal("Some Error")),
+            kTfLiteError);
+  EXPECT_EQ(context.error, "Some Error");
+
+  context.error.clear();
+  EXPECT_EQ(ConvertStatus(&context, tensorflow::Status()), kTfLiteOk);
+  EXPECT_TRUE(context.error.empty());
+}
+
+TEST(UtilTest, CopyShape) {
+  TestContext context;
+  context.ReportError = ReportError;
+  context.ResizeTensor = ResizeTensor;
+
+  TfLiteTensor dst;
+
+  EXPECT_EQ(CopyShape(&context, Tensor(), &dst), kTfLiteOk);
+  EXPECT_THAT(context.new_size, ElementsAre(0));
+
+  EXPECT_EQ(CopyShape(&context, Tensor(DT_FLOAT, {1, 2}), &dst), kTfLiteOk);
+  EXPECT_THAT(context.new_size, ElementsAre(1, 2));
+
+  EXPECT_EQ(CopyShape(&context, Tensor(DT_FLOAT, {1LL << 44, 2}), &dst),
+            kTfLiteError);
+  EXPECT_EQ(context.error,
+            "Dimension value in TensorFlow shape is larger than supported by "
+            "TF Lite");
+}
+
+TEST(UtilTest, TypeConversions) {
+  EXPECT_EQ(TF_FLOAT, GetTensorFlowDataType(kTfLiteNoType));
+  EXPECT_EQ(TF_FLOAT, GetTensorFlowDataType(kTfLiteFloat32));
+  EXPECT_EQ(TF_INT16, GetTensorFlowDataType(kTfLiteInt16));
+  EXPECT_EQ(TF_INT32, GetTensorFlowDataType(kTfLiteInt32));
+  EXPECT_EQ(TF_UINT8, GetTensorFlowDataType(kTfLiteUInt8));
+  EXPECT_EQ(TF_INT64, GetTensorFlowDataType(kTfLiteInt64));
+  EXPECT_EQ(TF_COMPLEX64, GetTensorFlowDataType(kTfLiteComplex64));
+  EXPECT_EQ(TF_STRING, GetTensorFlowDataType(kTfLiteString));
+  EXPECT_EQ(TF_BOOL, GetTensorFlowDataType(kTfLiteBool));
+}
+
+}  // namespace
+}  // namespace eager
+}  // namespace tflite
+
+int main(int argc, char** argv) {
+  ::tflite::LogToStderr();
+  ::testing::InitGoogleTest(&argc, argv);
+  return RUN_ALL_TESTS();
+}