Fix Crash Cases (#3017)

### Problem description
Facing Unstable Crash Cases

### What's changed
Removed nightly marker
Updated test duration

cc: @nvukobratTT

Author: pdeviTT

.test_durations

@@ -5550,12 +5550,12 @@
     "forge/test/models/pytorch/vision/yolo/test_yolox.py::test_yolox_pytorch[yolox_m]": 174.326,
     "forge/test/models/paddlepaddle/text/bert/test_bert.py::test_bert_sequence_classification[cl-tohoku/bert-base-japanese-input1]": 99.234,
     "forge/test/models/paddlepaddle/vision/alexnet/test_alexnet.py::test_alexnet": 51.897,
-    "forge/test/models/paddlepaddle/vision/resnet/test_resnet.py::test_resnet_pd[resnet50]": 198.948,
+    "forge/test/models/paddlepaddle/vision/resnet/test_resnet.py::test_resnet_pd[resnet50]": 208.948,
     "forge/test/models/onnx/text/bert/test_bert.py::test_bert_question_answering_onnx[17-phiyodr/bert-large-finetuned-squad2]": 0.625,
     "forge/test/models/onnx/vision/deit/test_deit_onnx.py::test_deit_onnx[facebook/deit-tiny-patch16-224]": 116.24,
     "forge/test/models/onnx/vision/dla/test_dla.py::test_dla_onnx[dla102x2]": 188.084398,
     "forge/test/models/onnx/vision/efficientnet/test_efficientnet.py::test_efficientnet_onnx[efficientnet_b0]": 154.76,
-    "forge/test/models/onnx/vision/ghostnet/test_ghostnet_onnx.py::test_ghostnet_onnx[ghostnet_100]": 123.884,
+    "forge/test/models/onnx/vision/ghostnet/test_ghostnet_onnx.py::test_ghostnet_onnx[ghostnet_100]": 303.884,
     "forge/test/models/onnx/vision/mobilenetv2/test_mobilenetv1_onnx.py::test_mobilenetv1_onnx[mobilenet_v1]": 20.793,
     "forge/test/operators/pytorch/test_query.py::test_query[no_device-ne-FROM_ANOTHER_OP-None-(1, 1920)-None-None]": 7.495,
     "forge/test/operators/pytorch/test_query.py::test_query[no_device-ne-FROM_ANOTHER_OP-None-(10000, 1)-None-None]": 0.849,
@@ -23584,8 +23584,8 @@
     "forge/test/models/pytorch/vision/segformer/test_segformer.py::test_segformer_semantic_segmentation_pytorch[b2_finetuned_ade_512_512]": 622.5,
     "forge/test/models/pytorch/vision/ssd300_vgg16/test_ssd300_vgg16.py::test_ssd300_vgg16[ssd300_vgg16]": 3.882,
     "forge/test/models/pytorch/vision/swin/test_swin.py::test_swin_v2_tiny_masked[microsoft/swinv2-tiny-patch4-window8-256]": 165.3,
-    "forge/test/models/paddlepaddle/multimodal/clip/test_clip.py::test_clip_text[openai/clip-vit-base-patch16]": 69.728,
-    "forge/test/models/paddlepaddle/multimodal/clip/test_clip.py::test_clip_vision[openai/clip-vit-base-patch16]": 230.65,
+    "forge/test/models/paddlepaddle/multimodal/clip/test_clip.py::test_clip_text[openai/clip-vit-base-patch16]": 99.728,
+    "forge/test/models/paddlepaddle/multimodal/clip/test_clip.py::test_clip_vision[openai/clip-vit-base-patch16]": 250.65,
     "forge/test/models/paddlepaddle/multimodal/clip/test_clip.py::test_clip[openai/clip-vit-base-patch16]": 18.313,
     "forge/test/models/onnx/vision/efficientnet/test_efficientnet.py::test_efficientnet_onnx[efficientnet_b3]": 268.184081,
     "forge/test/models/onnx/vision/xception/test_xception_onnx.py::test_xception_onnx[xception71.tf_in1k]": 103.353,

forge/test/models/pytorch/vision/detr/test_detr.py

@@ -96,7 +96,6 @@ def test_detr_detection(variant):
     )
 
 
-@pytest.mark.nightly
 @pytest.mark.parametrize(
     "variant",
     [

forge/test/models/pytorch/vision/segformer/test_segformer.py

@@ -84,15 +84,14 @@ def test_segformer_image_classification_pytorch(variant):
 
 
 variants_semseg = [
-    pytest.param(SemSegVariant.B0_FINETUNED),
-    pytest.param(SemSegVariant.B1_FINETUNED),
+    pytest.param(SemSegVariant.B0_FINETUNED, marks=pytest.mark.nightly),
+    pytest.param(SemSegVariant.B1_FINETUNED, marks=pytest.mark.nightly),
     pytest.param(SemSegVariant.B2_FINETUNED, marks=pytest.mark.xfail),
     pytest.param(SemSegVariant.B3_FINETUNED, marks=pytest.mark.xfail),
     pytest.param(SemSegVariant.B4_FINETUNED, marks=pytest.mark.xfail),
 ]
 
 
-@pytest.mark.nightly
 @pytest.mark.parametrize("variant", variants_semseg)
 def test_segformer_semantic_segmentation_pytorch(variant):