Update Time Duration (#2963)

### Problem description
Facing Crash Issue
Getting Xpass Cases

### What's changed
Updated time duration
Removed Xfail marker

cc: @nvukobratTT

Author: pdeviTT

.test_durations

@@ -3099,7 +3099,7 @@
     "forge/test/models/pytorch/vision/pointpillars/test_pointpillars.py::test_pointpillars": 0.598,
     "forge/test/models/pytorch/vision/segformer/test_segformer.py::test_segformer_semantic_segmentation_pytorch[nvidia/segformer-b4-finetuned-ade-512-512]": 619.508,
     "forge/test/models/pytorch/vision/unet/test_unet.py::test_unet_qubvel_pytorch": 50.701,
-    "forge/test/models/pytorch/vision/unet/test_unet.py::test_unet_torchhub_pytorch": 101.852,
+    "forge/test/models/pytorch/vision/unet/test_unet.py::test_unet_torchhub_pytorch": 203.704,
     "forge/test/models/pytorch/vision/yolo/test_yolo_world.py::test_yolo_world_inference": 45.038,
     "forge/test/models/paddlepaddle/text/glm/test_glm.py::test_glm[THUDM/glm-515m]": 565.3,
     "forge/test/models/paddlepaddle/text/t5/test_t5.py::test_t5_conditional_generation[t5-small]": 21.172,
@@ -21121,7 +21121,7 @@
     "forge/test/models/pytorch/vision/yolo/test_yolo_v6.py::test_yolo_v6_pytorch[yolov6l]": 280.243,
     "forge/test/models/pytorch/vision/yolo/test_yolox.py::test_yolox_pytorch[yolox_nano]": 119.101,
     "forge/test/models/paddlepaddle/text/bert/test_bert.py::test_bert_question_answering[bert-base-uncased-input0]": 102.993,
-    "forge/test/models/paddlepaddle/vision/resnet/test_resnet.py::test_resnet_pd[resnet34]": 40.791,
+    "forge/test/models/paddlepaddle/vision/resnet/test_resnet.py::test_resnet_pd[resnet34]": 81.582,
     "forge/test/models/paddlepaddle/vision/resnet/test_resnet.py::test_resnet_pd[resnet152]": 138.265,
     "forge/test/models/onnx/text/bert/test_bert.py::test_bert_masked_lm_onnx[17-bert-base-uncased]": 123.335,
     "forge/test/models/onnx/vision/deit/test_deit_onnx.py::test_deit_onnx[facebook/deit-small-patch16-224]": 117.438,
@@ -50200,9 +50200,9 @@
     "forge/test/models/pytorch/vision/segformer/test_segformer.py::test_segformer_semantic_segmentation_pytorch[nvidia/segformer-b3-finetuned-ade-512-512]": 708.26,
     "forge/test/models/pytorch/vision/unet/test_unet.py::test_unet_osmr_cityscape_pytorch": 31.535,
     "forge/test/models/pytorch/vision/yolo/test_yolo_v5.py::test_yolov5_320x320[yolov5x]": 54.41,
-    "forge/test/models/paddlepaddle/vision/googlenet/test_googlenet.py::test_googlenet": 66.837,
+    "forge/test/models/paddlepaddle/vision/googlenet/test_googlenet.py::test_googlenet": 133.674,
     "forge/test/models/onnx/vision/segformer/test_segformer.py::test_segformer_semantic_segmentation_onnx[nvidia/segformer-b1-finetuned-ade-512-512]": 116.086,
     "forge/test/models/onnx/vision/segformer/test_segformer.py::test_segformer_semantic_segmentation_onnx[nvidia/segformer-b2-finetuned-ade-512-512]": 369.02,
-    "forge/test/models/onnx/audio/test_whisper_onnx.py::test_whisper_onnx[openai/whisper-medium]": 6501.96,
+    "forge/test/models/onnx/audio/test_whisper_onnx.py::test_whisper_onnx[openai/whisper-medium]": 8127.45,
     "forge/test/models/onnx/vision/perceiverio/test_perceiverio_onnx.py::test_perceiverio_for_image_classification_onnx[deepmind/vision-perceiver-conv]": 3213.3
 }

forge/test/models/paddlepaddle/multimodal/paddleocr/test_paddleocr_rec.py

@@ -33,9 +33,6 @@
 
 
 @pytest.mark.nightly
-@pytest.mark.xfail(variant in ["v4_rec_ch", "v0_rec_ch"] for variant, urls in model_urls.items())(
-    reason="https://github.com/tenstorrent/tt-forge-fe/issues/2948"
-)
 @pytest.mark.parametrize(
     "variant,url",
     [(f"{variant}_rec_{lang}", url) for variant, urls in model_urls.items() for lang, url in urls.items()],
@@ -49,8 +46,6 @@ def test_paddleocr_rec(variant, url):
         source=Source.PADDLE,
         task=Task.SCENE_TEXT_RECOGNITION,
     )
-    if variant in ["v4_rec_ch", "v0_rec_ch"]:
-        pytest.xfail()
 
     # Fetch model
     framework_model = fetch_paddle_model(url, cache_dir)

forge/test/models/pytorch/audio/whisper/test_whisper_large.py

@@ -33,6 +33,7 @@ def test_whisper_large_v3(variant):
         source=Source.HUGGINGFACE,
         group=ModelGroup.RED,
     )
+    pytest.xfail()
 
     # Load model and inputs
     loader = ModelLoader(variant=variant)

forge/test/models/pytorch/vision/unet/test_unet.py

@@ -89,7 +89,6 @@ def test_unet_torchhub_pytorch():
         source=Source.TORCH_HUB,
         task=Task.IMAGE_SEGMENTATION,
     )
-    pytest.xfail(reason="https://github.com/tenstorrent/tt-forge-fe/issues/2956")
 
     loader = ModelLoader(variant=ModelVariant.TORCHHUB_BRAIN_UNET)
     framework_model = loader.load_model(dtype_override=torch.bfloat16)