[Nightly] Sync benchmark list with pytorch for nightly tests

.ci/benchmarks/huggingface_models_list.txt

@@ -17,27 +17,36 @@ DistilBertForQuestionAnswering,512
 DistillGPT2,32
 ElectraForCausalLM,64
 ElectraForQuestionAnswering,128
+GoogleFnet,32
+google/gemma-2-2b,8
+google/gemma-3-4b-it,8
 GPT2ForSequenceClassification,8
 GPTJForCausalLM,1
 GPTJForQuestionAnswering,1
 GPTNeoForCausalLM,32
 GPTNeoForSequenceClassification,32
-GoogleFnet,32
 LayoutLMForMaskedLM,32
 LayoutLMForSequenceClassification,32
 M2M100ForConditionalGeneration,64
 MBartForCausalLM,8
 MBartForConditionalGeneration,4
-MT5ForConditionalGeneration,32
 MegatronBertForCausalLM,16
 MegatronBertForQuestionAnswering,16
+meta-llama/Llama-3.2-1B,8
+mistralai/Mistral-7B-Instruct-v0.3,8
+mistralai/Mistral-7B-Instruct-v0.3,8
 MobileBertForMaskedLM,256
 MobileBertForQuestionAnswering,256
+MT5ForConditionalGeneration,32
+openai/gpt-oss-20b,8
+openai/gpt-oss-20b,8
+openai/whisper-tiny,8
 OPTForCausalLM,4
-PLBartForCausalLM,16
-PLBartForConditionalGeneration,8
 PegasusForCausalLM,128
 PegasusForConditionalGeneration,64
+PLBartForCausalLM,16
+PLBartForConditionalGeneration,8
+Qwen/Qwen3-0.6B,8
 RobertaForCausalLM,32
 RobertaForQuestionAnswering,32
 T5ForConditionalGeneration,8
@@ -46,10 +55,3 @@ TrOCRForCausalLM,64
 XGLMForCausalLM,32
 XLNetLMHeadModel,16
 YituTechConvBert,32
-meta-llama/Llama-3.2-1B,8
-google/gemma-2-2b,8
-google/gemma-3-4b-it,8
-openai/whisper-tiny,8
-Qwen/Qwen3-0.6B,8
-mistralai/Mistral-7B-Instruct-v0.3,8
-openai/gpt-oss-20b,8

.ci/benchmarks/timm_models_list.txt

@@ -6,9 +6,11 @@ coat_lite_mini 128
 convit_base 128
 convmixer_768_32 64
 convnext_base 128
+convnextv2_nano.fcmae_ft_in22k_in1k 128
 crossvit_9_240 256
 cspdarknet53 128
 deit_base_distilled_patch16_224 128
+deit_tiny_patch16_224.fb_in1k 128
 dla102 128
 dm_nfnet_f0 128
 dpn107 64
@@ -56,10 +58,8 @@ tinynet_a 128
 tnt_s_patch16_224 128
 twins_pcpvt_base 128
 visformer_small 128
+vit_base_patch14_dinov2.lvd142m 128
 vit_base_patch16_224 128
+vit_base_patch16_siglip_256 128
 volo_d1_224 128
 xcit_large_24_p8_224 16
-convnextv2_nano.fcmae_ft_in22k_in1k
-deit_tiny_patch16_224.fb_in1k
-vit_base_patch14_dinov2.lvd142m
-vit_base_patch16_siglip_256

.ci/benchmarks/torchbench.yaml

@@ -43,6 +43,7 @@ tolerance:
     - doctr_reco_predictor
     - drq
     - phlippe_resnet
+    - pytorch_CycleGAN_and_pix2pix
 
   higher_bf16:
     - doctr_reco_predictor
@@ -154,7 +155,7 @@ trt_not_yet_working:
 skip:
   all:
     # OOMs (A100 40G)
-    - detectron2_maskrcnn
+    # - detectron2_maskrcnn
     # TIMEOUT, https://github.com/pytorch/pytorch/issues/98467
     - tacotron2
     # Failing in eager mode
@@ -216,6 +217,8 @@ skip:
 
     cuda: []
 
+    xpu: []
+
   test:
     training:
       - *DETECTRON2_MODELS