Sample migration

Author: veblush

tensorflow/lite/micro/flatbuffer_utils_test.cc

@@ -19,11 +19,9 @@ limitations under the License.
 
 #include "flatbuffers/flexbuffers.h"
 #include "tensorflow/lite/micro/test_helpers.h"
-#include "tensorflow/lite/micro/testing/micro_test.h"
+#include "tensorflow/lite/micro/testing/micro_test_v2.h"
 
-TF_LITE_MICRO_TESTS_BEGIN
-
-TF_LITE_MICRO_TEST(TestFlexbufferWrapper) {
+TEST(FlatbufferUtilsTest, TestFlexbufferWrapper) {
   struct TestParam {
     std::string name;
     std::string type;
@@ -66,16 +64,15 @@ TF_LITE_MICRO_TEST(TestFlexbufferWrapper) {
   for (int i = 0; i < param_num; i++) {
     std::string& param_value = params[params_sorted[i]].value;
     if (params[params_sorted[i]].type == "Int") {
-      TF_LITE_MICRO_EXPECT(wrapper.ElementAsInt32(i) == std::stoi(param_value));
+      EXPECT_EQ(wrapper.ElementAsInt32(i), std::stoi(param_value));
     } else if (params[params_sorted[i]].type == "Bool") {
-      TF_LITE_MICRO_EXPECT(wrapper.ElementAsBool(i) == (param_value == "true"));
+      EXPECT_EQ(wrapper.ElementAsBool(i), (param_value == "true"));
     } else if (params[params_sorted[i]].type == "Double") {
-      TF_LITE_MICRO_EXPECT(wrapper.ElementAsDouble(i) ==
-                           std::stod(param_value));
+      EXPECT_EQ(wrapper.ElementAsDouble(i), std::stod(param_value));
     } else if (params[params_sorted[i]].type == "Float") {
-      TF_LITE_MICRO_EXPECT(wrapper.ElementAsFloat(i) == std::stof(param_value));
+      EXPECT_EQ(wrapper.ElementAsFloat(i), std::stof(param_value));
     }
   }
 }
 
-TF_LITE_MICRO_TESTS_END
+TF_LITE_MICRO_TESTS_MAIN

tensorflow/lite/micro/hexdump_test.cc

@@ -18,7 +18,7 @@
 #include <cstdint>
 
 #include "tensorflow/lite/micro/span.h"
-#include "tensorflow/lite/micro/testing/micro_test.h"
+#include "tensorflow/lite/micro/testing/micro_test_v2.h"
 
 constexpr tflite::Span<const char> input{
     "This is an input string for testing."};
@@ -38,22 +38,20 @@ constexpr tflite::Span<const char> expected{
 constexpr tflite::Span<const char> expected_no_null{expected.data(),
                                                     expected.size() - 1};
 
-TF_LITE_MICRO_TESTS_BEGIN
-
-TF_LITE_MICRO_TEST(TestOutputToBuffer) {
+TEST(HexdumpTest, TestOutputToBuffer) {
   // Allocate a buffer with an arbitrary amount of extra room so the test has
   // the possibility of failing if hexdump mishandles the extra space.
   std::array<char, expected.size() + 10> buffer;
 
   tflite::Span<char> output = tflite::hexdump(region, buffer);
-  TF_LITE_MICRO_EXPECT(output == expected_no_null);
+  EXPECT_EQ(output, expected_no_null);
 }
 
-TF_LITE_MICRO_TEST(TestOutputToDebugLog) {
+TEST(HexdumpTest, TestOutputToDebugLog) {
   // There's no easy way to verify DebugLog output; however, test it anyhow to
   // catch an outright crash, and so the output appears in the log should
   // someone wish to examine it.
   tflite::hexdump(region);
 }
 
-TF_LITE_MICRO_TESTS_END
+TF_LITE_MICRO_TESTS_MAIN

tensorflow/lite/micro/memory_arena_threshold_test.cc

@@ -22,7 +22,7 @@ limitations under the License.
 #include "tensorflow/lite/micro/models/keyword_scrambled_model_data.h"
 #include "tensorflow/lite/micro/recording_micro_allocator.h"
 #include "tensorflow/lite/micro/recording_micro_interpreter.h"
-#include "tensorflow/lite/micro/testing/micro_test.h"
+#include "tensorflow/lite/micro/testing/micro_test_v2.h"
 #include "tensorflow/lite/micro/testing/test_conv_model.h"
 
 /**
@@ -138,12 +138,11 @@ void EnsureAllocatedSizeThreshold(const char* allocation_type, size_t actual,
   // TODO(b/158651472): Better auditing of non-64 bit systems:
   if (kIs64BitSystem) {
     // 64-bit systems should check floor and ceiling to catch memory savings:
-    TF_LITE_MICRO_EXPECT_NEAR(actual, expected,
-                              expected * kAllocationThreshold);
+    EXPECT_NEAR(actual, expected, expected * kAllocationThreshold);
   } else {
     // Non-64 bit systems should just expect allocation does not exceed the
     // ceiling:
-    TF_LITE_MICRO_EXPECT_LE(actual, expected + expected * kAllocationThreshold);
+    EXPECT_LE(actual, expected + expected * kAllocationThreshold);
   }
 }
 
@@ -213,24 +212,22 @@ void ValidateModelAllocationThresholds(
                            sizeof(tflite::NodeAndRegistration) *
                                thresholds.node_and_registration_count +
                            thresholds.op_runtime_data_size;
-  TF_LITE_MICRO_EXPECT_LE(thresholds.tail_alloc_size - tail_est_length,
-                          kAllocationTailMiscCeiling);
+  EXPECT_LE(thresholds.tail_alloc_size - tail_est_length,
+            kAllocationTailMiscCeiling);
 }
 
 }  // namespace
 
-TF_LITE_MICRO_TESTS_BEGIN
-
-TF_LITE_MICRO_TEST(TestKeywordModelMemoryThreshold) {
+TEST(MemoryArenaThresholdTest, TestKeywordModelMemoryThreshold) {
   tflite::MicroMutableOpResolver<4> op_resolver;
-  TF_LITE_MICRO_EXPECT_EQ(
+  EXPECT_LEGACY_EQ(
       op_resolver.AddFullyConnected(tflite::Register_FULLY_CONNECTED_INT8()),
       kTfLiteOk);
-  TF_LITE_MICRO_EXPECT_EQ(op_resolver.AddQuantize(), kTfLiteOk);
-  TF_LITE_MICRO_EXPECT_EQ(
+  EXPECT_LEGACY_EQ(op_resolver.AddQuantize(), kTfLiteOk);
+  EXPECT_LEGACY_EQ(
       op_resolver.AddSoftmax(tflite::Register_SOFTMAX_INT8_INT16()), kTfLiteOk);
-  TF_LITE_MICRO_EXPECT_EQ(op_resolver.AddSvdf(tflite::Register_SVDF_INT8()),
-                          kTfLiteOk);
+  EXPECT_LEGACY_EQ(op_resolver.AddSvdf(tflite::Register_SVDF_INT8()),
+                   kTfLiteOk);
   tflite::RecordingMicroInterpreter interpreter(
       tflite::GetModel(g_keyword_scrambled_model_data), op_resolver,
       keyword_model_tensor_arena, kKeywordModelTensorArenaSize);
@@ -261,14 +258,14 @@ TF_LITE_MICRO_TEST(TestKeywordModelMemoryThreshold) {
                                     thresholds);
 }
 
-TF_LITE_MICRO_TEST(TestConvModelMemoryThreshold) {
+TEST(MemoryArenaThresholdTest, TestConvModelMemoryThreshold) {
   tflite::MicroMutableOpResolver<6> op_resolver;
-  TF_LITE_MICRO_EXPECT_EQ(op_resolver.AddConv2D(), kTfLiteOk);
-  TF_LITE_MICRO_EXPECT_EQ(op_resolver.AddQuantize(), kTfLiteOk);
-  TF_LITE_MICRO_EXPECT_EQ(op_resolver.AddMaxPool2D(), kTfLiteOk);
-  TF_LITE_MICRO_EXPECT_EQ(op_resolver.AddReshape(), kTfLiteOk);
-  TF_LITE_MICRO_EXPECT_EQ(op_resolver.AddFullyConnected(), kTfLiteOk);
-  TF_LITE_MICRO_EXPECT_EQ(op_resolver.AddDequantize(), kTfLiteOk);
+  EXPECT_LEGACY_EQ(op_resolver.AddConv2D(), kTfLiteOk);
+  EXPECT_LEGACY_EQ(op_resolver.AddQuantize(), kTfLiteOk);
+  EXPECT_LEGACY_EQ(op_resolver.AddMaxPool2D(), kTfLiteOk);
+  EXPECT_LEGACY_EQ(op_resolver.AddReshape(), kTfLiteOk);
+  EXPECT_LEGACY_EQ(op_resolver.AddFullyConnected(), kTfLiteOk);
+  EXPECT_LEGACY_EQ(op_resolver.AddDequantize(), kTfLiteOk);
 
   tflite::RecordingMicroInterpreter interpreter(
       tflite::GetModel(kTestConvModelData), op_resolver, test_conv_tensor_arena,
@@ -298,4 +295,4 @@ TF_LITE_MICRO_TEST(TestConvModelMemoryThreshold) {
                                     thresholds);
 }
 
-TF_LITE_MICRO_TESTS_END
+TF_LITE_MICRO_TESTS_MAIN