Fix ASAN error by removing tensor data filling for kNone in test.

PiperOrigin-RevId: 630492968
google-ai-edge · May 3, 2024 · 55ba90e · 55ba90e
1 parent 119d569
commit 55ba90e
Showing 1 changed file with 0 additions and 4 deletions.
diff --git a/mediapipe/calculators/tensor/inference_calculator_utils_test.cc b/mediapipe/calculators/tensor/inference_calculator_utils_test.cc
@@ -272,8 +272,6 @@ TEST(InferenceCalculatorUtilsTest,
   std::vector<float> values{1.0f, 2.0f, 3.0f, 4.0f};
   int values_len = values.size();
   Tensor tensor(ElementType::kNone, Tensor::Shape({values_len}));
-  std::memcpy(tensor.GetCpuWriteView().buffer<float>(), values.data(),
-              values_len * sizeof(float));
   absl::Status status =
       CopyCpuInputIntoInterpreterTensor(tensor, interpreter, tensor_index);
   EXPECT_FALSE(status.ok());
@@ -392,8 +390,6 @@ TEST(InferenceCalculatorUtilsTest,
   std::vector<uint8_t> values{1, 2, 3, 4};
   int values_len = values.size();
   Tensor tensor(ElementType::kNone, Tensor::Shape({values_len}));
-  std::memcpy(tensor.GetCpuWriteView().buffer<uint8_t>(), values.data(),
-              values_len * sizeof(uint8_t));
   absl::Status status =
       CopyInterpreterTensorIntoCpuOutput(interpreter, tensor_index, tensor);
   EXPECT_FALSE(status.ok());