message: Update naming in test to prevent presubmit error.
diff: @@ -72,7 +72,7 @@ TF_LITE_MICRO_TEST(SimpleTestFloat) {
  tflite::testing::kBiasShape, tflite::testing::kBiasData,
  tflite::testing::kOutputShape, tflite::testing::kGoldenData,
  &tflite::testing::common_conv_params,
  - tflite::Register_TRANSPOSE_CONV_2D(), output_data));
  + tflite::Register_TRANSPOSE_CONV(), output_data));
  }
  TF_LITE_MICRO_TEST(SimpleTestQuantizedPerChannel) {
  @@ -101,7 +101,7 @@ TF_LITE_MICRO_TEST(SimpleTestQuantizedPerChannel) {
  tflite::testing::kOutputShape, tflite::testing::kGoldenData,
  golden_quantized, output_scale, output_zero_point,
  &tflite::testing::common_conv_params,
  - tflite::Register_TRANSPOSE_CONV_2D(), output_data));
  + tflite::Register_TRANSPOSE_CONV(), output_data));
  }
  TF_LITE_MICRO_TEST(InputOutputDifferentTypeIsError) {
  @@ -126,11 +126,11 @@ TF_LITE_MICRO_TEST(InputOutputDifferentTypeIsError) {
  CreateQuantizedTensor(output_data, output_dims, /*scale=*/1.0f,
  /*zero_point=*/0),
  };
  - TF_LITE_MICRO_EXPECT_EQ(
  - kTfLiteError, tflite::testing::InvokeConv(
  + TF_LITE_MICRO_EXPECT_EQ(kTfLiteError,
  + tflite::testing::InvokeConv(
  tensors, tensors_size, output_dims_count,
  &tflite::testing::common_conv_params,
  - tflite::Register_TRANSPOSE_CONV_2D(), output_data));
  + tflite::Register_TRANSPOSE_CONV(), output_data));
  }
  TF_LITE_MICRO_TEST(HybridModeIsError) {
  @@ -157,11 +157,11 @@ TF_LITE_MICRO_TEST(HybridModeIsError) {
  CreateTensor(tflite::testing::kBiasData, bias_dims),
  CreateTensor(output_data, output_dims),
  };
  - TF_LITE_MICRO_EXPECT_EQ(
  - kTfLiteError, tflite::testing::InvokeConv(
  + TF_LITE_MICRO_EXPECT_EQ(kTfLiteError,
  + tflite::testing::InvokeConv(
  tensors, tensors_size, output_dims_count,
  &tflite::testing::common_conv_params,
  - tflite::Register_TRANSPOSE_CONV_2D(), output_data));
  + tflite::Register_TRANSPOSE_CONV(), output_data));
  }
  TF_LITE_MICRO_TESTS_END
  