[CI] Remove extra PRs for CI tests (#1929)

1. Remove FP64 fallback PR
pytorch/pytorch#156456
2. Remove tolerance PR pytorch/pytorch#143739
3. Remove PT2E half-precision support PR
pytorch/pytorch#154339

disable_distributed
disable_windows

Author: mengfei25

.github/ci_expected_accuracy/lts/inductor_timm_models_training.csv

@@ -5,7 +5,7 @@ botnet26t_256,pass,pass,pass,pass,pass
 cait_m36_384,pass,pass,pass,pass,pass
 coat_lite_mini,pass,pass,pass,pass,pass
 convit_base,pass,pass,pass,pass,pass
-convmixer_768_32,pass,pass,pass,pass,pass
+convmixer_768_32,pass,fail_accuracy,pass,fail_accuracy,pass
 # https://github.com/intel/torch-xpu-ops/issues/1274
 convnext_base,pass,fail_accuracy,fail_accuracy,pass,pass
 crossvit_9_240,pass,pass,pass,pass,pass

.github/ci_expected_accuracy/rolling/inductor_timm_models_training.csv

@@ -2,10 +2,10 @@ name,float32,bfloat16,float16,amp_bf16,amp_fp16
 adv_inception_v3,pass,pass,pass,pass,pass
 beit_base_patch16_224,pass,pass,pass,pass,pass
 botnet26t_256,pass,pass,pass,pass,pass
-cait_m36_384,pass,pass,pass,pass,pass
+cait_m36_384,pass,pass,fail_accuracy,pass,pass
 coat_lite_mini,pass,pass,pass,pass,pass
 convit_base,pass,pass,pass,pass,pass
-convmixer_768_32,pass,pass,pass,pass,pass
+convmixer_768_32,pass,fail_accuracy,pass,fail_accuracy,pass
 # https://github.com/intel/torch-xpu-ops/issues/1274
 convnext_base,pass,fail_accuracy,fail_accuracy,pass,pass
 crossvit_9_240,pass,pass,pass,pass,pass

.github/ci_expected_accuracy/rolling/inductor_torchbench_inference.csv

@@ -19,11 +19,11 @@ densenet121,pass,pass,pass,pass,pass
 # https://github.com/intel/torch-xpu-ops/issues/1278
 detectron2_fasterrcnn_r_101_c4,pass,eager_fail_to_run,fail_accuracy,fail_accuracy,fail_accuracy
 detectron2_fasterrcnn_r_101_dc5,pass,eager_fail_to_run,fail_accuracy,fail_accuracy,fail_accuracy
-detectron2_fasterrcnn_r_101_fpn,pass,eager_fail_to_run,fail_accuracy,fail_accuracy,fail_accuracy
+detectron2_fasterrcnn_r_101_fpn,eager_1st_run_OOM,eager_fail_to_run,fail_accuracy,fail_accuracy,fail_accuracy
 detectron2_fasterrcnn_r_50_c4,pass,eager_fail_to_run,fail_accuracy,fail_accuracy,fail_accuracy
 detectron2_fasterrcnn_r_50_dc5,pass,eager_fail_to_run,fail_accuracy,fail_accuracy,fail_accuracy
-detectron2_fasterrcnn_r_50_fpn,pass,eager_fail_to_run,fail_accuracy,fail_accuracy,pass
-detectron2_fcos_r_50_fpn,pass,pass,pass,pass,pass
+detectron2_fasterrcnn_r_50_fpn,eager_1st_run_OOM,eager_fail_to_run,eager_1st_run_OOM,fail_accuracy,pass
+detectron2_fcos_r_50_fpn,pass,pass,pass,fail_accuracy,pass
 detectron2_maskrcnn,fail_to_run,eager_fail_to_run,fail_to_run,eager_fail_to_run,fail_to_run
 detectron2_maskrcnn_r_101_c4,fail_accuracy,eager_fail_to_run,fail_accuracy,fail_accuracy,fail_accuracy
 detectron2_maskrcnn_r_101_fpn,fail_accuracy,eager_fail_to_run,eager_1st_run_OOM,eager_1st_run_OOM,fail_accuracy

.github/scripts/apply_torch_pr.py

@@ -9,12 +9,7 @@
 parser = argparse.ArgumentParser()
 parser.add_argument('--pr-list', '-n', nargs='+',
     default=[
-        # Fallback to CPU for XPU FP64
-        "https://github.com/pytorch/pytorch/pull/156456",
-        # Modify the tolerance level in TIMM benchmark
-        "https://github.com/pytorch/pytorch/pull/143739",
-        # "Enhance testing infrastructure to add half-precision support for histc on XPU"
-        "https://github.com/pytorch/pytorch/pull/154339",
+        # Additional PRs link if need for CICD tests
     ]
 )
 parser.add_argument('--extra-pr-list', '-e', nargs='+',default=[])