message: resolving nit style issues
diff: @@ -109,7 +109,6 @@ TEST_P(UnifiedCAPI, TestBasicEagerMatMul) {
  float vals [] = {0.0f,0.0f,0.0f,0.0f};
  TFE_Context* eager_ctx = TF_ExecutionContextGetTFEContext(ctx);
  TFE_TensorHandle* t = TestMatrixTensorHandleWithInput(eager_ctx, vals);
  - TFE_TensorHandle* expected_tensor = TestMatrixTensorHandleWithInput(eager_ctx, vals); // 2x2 matrix of zeros as expected result
  TF_AbstractTensor* at =
  TF_CreateAbstractTensorFromEagerTensor(t, status.get()); // get abstract tensor
  @@ -193,9 +192,6 @@ TEST_P(UnifiedCAPI, TestBasicEagerMatMul2) {
  TF_CreateAbstractTensorFromEagerTensor(t2, status.get()); // get abstract tensor
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());
  - // Build expected result
  - float e_vals [] = {19.0f,22.0f,43.0f,50.0f};
  -
  // Build an abstract operation.
  auto* op = TF_NewAbstractOp(ctx);
  TF_AbstractOpSetOpType(op, "MatMul", status.get());
  @@ -229,6 +225,9 @@ TEST_P(UnifiedCAPI, TestBasicEagerMatMul2) {
  float result_data[4] = {0};
  memcpy(&result_data[0], TF_TensorData(result_tensor), TF_TensorByteSize(result_tensor));
  + // Build expected result & verify.
  + float e_vals [] = {19.0f,22.0f,43.0f,50.0f};
  +
  int data_len = 4; // length of e_vals
  for(int i = 0; i < data_len; i++){
  EXPECT_EQ(result_data[i], e_vals[i]);
  