[POT] Update tests with new data (openvinotoolkit#8209)

* Update POT tests with new data

* Revert package changes

* Remove mobinenet-ssd from POT tests

* Update benchmark.py IE Python API usage

.gitattributes

@@ -67,9 +67,11 @@
 
 #POT attributes
 tools/pot/tests/data/test_cases_refs/* filter=lfs diff=lfs merge=lfs -text
+tools/pot/tests/data/models/*/* filter=lfs diff=lfs merge=lfs -text
+tools/pot/tests/data/reference_models/* filter=lfs diff=lfs merge=lfs -text
+tools/pot/tests/data/video/* filter=lfs diff=lfs merge=lfs -text
+tools/pot/tests/data/reference_fake_quantize_conf/* filter=lfs diff=lfs merge=lfs -text
 /tools/pot/tests/** -pot_package
-/configs/accuracy_checker/** -pot_package
-/configs/quantization/** -pot_package
 /tools/pot/tools/auxilary/** -pot_package
 /tools/pot/tools/run_series_experiments.py -pot_package
 /tools/pot/.pylintrc -pot_package

tools/pot/openvino/tools/pot/benchmark/benchmark.py

@@ -95,7 +95,7 @@ def get_dummy_inputs(batch_size, input_info, requests):
         for key, value in input_info.items():
             m = []
             dt = np_d_type[value.precision]
-            for x in value.shape:
+            for x in value.input_data.shape:
                 m.append(x)
             m[0] = m[0] * batch_size
             input_data[key] = np.empty(tuple(m), dtype=dt)
@@ -122,7 +122,7 @@ def get_dummy_inputs(batch_size, input_info, requests):
     infer_requests = exe_network.requests
     batch_size = ie_network.batch_size
     request_queue = InferRequestsQueue(infer_requests)
-    requests_input_data = get_dummy_inputs(batch_size, ie_network.inputs, infer_requests)
+    requests_input_data = get_dummy_inputs(batch_size, ie_network.input_info, infer_requests)
     infer_request = request_queue.get_idle_request()
 
     # For warming up

tools/pot/tests/data/image_loading/image_files.txt

@@ -0,0 +1,5 @@
+./images/0.JPEG
+./images/1.JPEG
+./images/2.JPEG
+./images/3.JPEG
+./images/4.JPEG