API 2.0 infer request io blob test case (openvinotoolkit#20336)

* add failToSetUninitializedInputBlob, failToSetUninitializedOutputBlob and canInferWithGetOut

* FailedAsyncInferWithNegativeTimeForWait

* Revert "FailedAsyncInferWithNegativeTimeForWait"

This reverts commit 3b67801.

* Update src/tests/functional/plugin/shared/src/behavior/ov_infer_request/io_tensor.cpp

Co-authored-by: River Li <river.li@intel.com>

* Update src/tests/functional/plugin/shared/src/behavior/ov_infer_request/io_tensor.cpp

Co-authored-by: River Li <river.li@intel.com>

---------

Co-authored-by: River Li <river.li@intel.com>

src/tests/functional/plugin/shared/src/behavior/ov_infer_request/io_tensor.cpp

@@ -46,6 +46,18 @@ TEST_P(OVInferRequestIOTensorTest, failToSetNullptrForOutput) {
     ASSERT_THROW(req.set_tensor(output, {}), ov::Exception);
 }
 
+TEST_P(OVInferRequestIOTensorTest, failToSetUninitializedInputTensor) {
+    ov::Tensor tensor;
+    OV_ASSERT_NO_THROW(req = execNet.create_infer_request());
+    ASSERT_THROW(req.set_tensor(input, tensor), ov::Exception);
+}
+
+TEST_P(OVInferRequestIOTensorTest, failToSetUninitializedOutputTensor) {
+    ov::Tensor tensor;
+    OV_ASSERT_NO_THROW(req = execNet.create_infer_request());
+    ASSERT_THROW(req.set_tensor(output, tensor), ov::Exception);
+}
+
 TEST_P(OVInferRequestIOTensorTest, canSetAndGetInput) {
     auto tensor = utils::create_and_fill_tensor(input.get_element_type(), input.get_shape());
     OV_ASSERT_NO_THROW(req.set_tensor(input, tensor));
@@ -175,6 +187,15 @@ TEST_P(OVInferRequestIOTensorTest, canInferAfterIOBlobReallocation) {
     OV_ASSERT_NO_THROW(req.get_tensor(output));
 }
 
+TEST_P(OVInferRequestIOTensorTest, canInferWithGetOut) {
+    ov::Tensor output_tensor;
+    OV_ASSERT_NO_THROW(output_tensor = req.get_tensor(output));
+    OV_ASSERT_NO_THROW(req.infer());
+    OV_ASSERT_NO_THROW(req.start_async());
+    OV_ASSERT_NO_THROW(req.wait());
+    OV_ASSERT_NO_THROW(req.get_tensor(output));
+}
+
 TEST_P(OVInferRequestIOTensorTest, InferStaticNetworkSetChangedInputTensorThrow) {
     const ov::Shape shape1 = {1, 2, 32, 32};
     const ov::Shape shape2 = {1, 2, 40, 40};