Remove xfail marker and update test duration (#3034)

### Summary

In today’s nightly pipeline, several models previously marked as `xfail`
have now passed successfully. So
- Removed `xfail` markers for **Swin**, **BLIP**, and **CLIP**
PaddlePaddle models.
- Updated test durations for **Ernie** and **GLM** PaddlePaddle models
and **NBeats** ONNX models.


### Detailed Test Results

| **Test Path** | **Status** | **Failure (if any)** | **Prev Duration
(s)** | **Current Duration (s)** |

|----------------|------------|----------------------|-----------------------|--------------------------|
|
`forge/test/models/paddlepaddle/text/glm/test_glm.py::test_glm[THUDM/glm-large-chinese]`
| ❌ **Failed** | `tvm.error.OpNotImplemented: share_data` | 183.16 |
652.521 |
|
`forge/test/models/onnx/vision/swin/test_swin.py::test_swin_v2_tiny_masked_onnx[microsoft/swinv2-tiny-patch4-window8-256]`
| ✅ **Passed** | — | 591.81 | 553.997 |
|
`forge/test/models/paddlepaddle/text/ernie/test_ernie.py::test_ernie_for_sequence_classification[ernie-1.0]`
| ✅ **Passed** | — | 201.608 | 439.756 |
|
`forge/test/models/paddlepaddle/text/t5/test_t5.py::test_t5_conditional_generation[t5-base]`
| ❌ **Failed** | `tvm.error.OpNotImplemented: conditional_block,
select_input` | 536.16 | 136.287 |
|
`forge/test/models/onnx/timeseries/test_nbeats_onnx.py::test_nbeats_with_seasonality_basis_onnx[seasionality_basis]`
| ❌ **Failed** | `ValueError: Data mismatch (AutomaticValueChecker)` |
120.44 | 168.031 |
|
`forge/test/models/paddlepaddle/multimodal/blip/test_blip.py::test_blip[Salesforce/blip-image-captioning-base]`
| ✅ **Passed** | — | 477.72 | 473.577 |
|
`forge/test/models/paddlepaddle/multimodal/clip/test_chineseclip.py::test_chineseclip[OFA-Sys/chinese-clip-vit-base-patch16]`
| ✅ **Passed** | — | 397.86 | 216.907 |

Author: chandrasekaranpradeep

.test_durations

@@ -23500,7 +23500,7 @@
     "forge/test/models/paddlepaddle/multimodal/blip/test_blip.py::test_blip_text[Salesforce/blip-image-captioning-base]": 312.226,
     "forge/test/models/paddlepaddle/text/albert/test_albert.py::test_albert_maskedlm[input0-albert-chinese-tiny]": 37.596,
     "forge/test/models/paddlepaddle/text/bert/test_bert.py::test_bert_question_answering[cl-tohoku/bert-base-japanese-input1]": 157.885,
-    "forge/test/models/paddlepaddle/text/ernie/test_ernie.py::test_ernie_for_sequence_classification[ernie-1.0]": 201.608,
+    "forge/test/models/paddlepaddle/text/ernie/test_ernie.py::test_ernie_for_sequence_classification[ernie-1.0]": 439.756,
     "forge/test/models/paddlepaddle/text/roberta/test_roberta.py::test_roberta_sequence_classification[hfl/rbt4]": 142.64,
     "forge/test/models/onnx/text/phi1/test_phi1_onnx.py::test_phi1_clm_onnx[microsoft/phi-1]": 0.001,
     "forge/test/models/onnx/vision/alexnet/test_alexnet_onnx.py::test_alexnet_onnx": 21.733,
@@ -23527,7 +23527,7 @@
     "forge/test/models/pytorch/vision/yolo/test_yolo_v4.py::test_yolov4_tiny": 0.859,
     "forge/test/models/paddlepaddle/multimodal/blip/test_blip.py::test_blip_vision[Salesforce/blip-image-captioning-base]": 325.629,
     "forge/test/models/paddlepaddle/multimodal/blip/test_blip.py::test_blip[Salesforce/blip-image-captioning-base]": 477.72,
-    "forge/test/models/paddlepaddle/text/glm/test_glm.py::test_glm[THUDM/glm-large-chinese]": 183.16,
+    "forge/test/models/paddlepaddle/text/glm/test_glm.py::test_glm[THUDM/glm-large-chinese]": 652.521,
     "forge/test/models/pytorch/atomic/hippynn/test_hippynn.py::test_hippynn": 1.047,
     "forge/test/models/pytorch/text/flux/test_flux.py::test_flux[black-forest-labs/FLUX.1-schnell]": 0.549,
     "forge/test/models/pytorch/text/llama/test_llama3.py::test_llama3_causal_lm[meta-llama/Meta-Llama-3.1-70B]": 0.584,
@@ -50256,6 +50256,6 @@
     "forge/test/models/pytorch/text/phi1/test_phi1_5.py::test_phi1_5_token_classification_pytorch[microsoft/phi-1_5]": 407.22,
     "forge/test/models/pytorch/vision/yolo/test_yolo_v8.py::test_yolov8[yolov8x]": 455.56,
     "forge/test/models/pytorch/vision/detr/test_detr.py::test_detr_segmentation[resnet_50_panoptic]": 257.31,
-    "forge/test/models/onnx/timeseries/test_nbeats_onnx.py::test_nbeats_with_seasonality_basis_onnx[seasionality_basis]": 120.44,
+    "forge/test/models/onnx/timeseries/test_nbeats_onnx.py::test_nbeats_with_seasonality_basis_onnx[seasionality_basis]": 168.031,
     "forge/test/models/pytorch/text/xglm/test_xglm.py::test_xglm_causal_lm[xglm-1.7B]": 274.53
 }

forge/test/models/onnx/vision/swin/test_swin.py

@@ -56,7 +56,6 @@ def test_swin_v2_tiny_image_classification_onnx(variant, forge_tmp_path):
 
 
 @pytest.mark.nightly
-@pytest.mark.xfail(reason="https://github.com/tenstorrent/tt-forge-fe/issues/2998")
 @pytest.mark.parametrize("variant", ["microsoft/swinv2-tiny-patch4-window8-256"])
 def test_swin_v2_tiny_masked_onnx(variant, forge_tmp_path):
 

forge/test/models/paddlepaddle/multimodal/blip/test_blip.py

@@ -78,7 +78,6 @@ def test_blip_vision(variant):
 
 
 @pytest.mark.nightly
-@pytest.mark.xfail(reason="https://github.com/tenstorrent/tt-forge-fe/issues/2998")
 @pytest.mark.parametrize("variant", variants)
 def test_blip(variant):
     # Record Forge properties

forge/test/models/paddlepaddle/multimodal/clip/test_chineseclip.py

@@ -89,7 +89,6 @@ def test_chineseclip_vision(variant):
 
 
 @pytest.mark.nightly
-@pytest.mark.xfail(reason="https://github.com/tenstorrent/tt-forge-fe/issues/2998")
 @pytest.mark.parametrize("variant", variants)
 def test_chineseclip(variant):
     # Record Forge properties