[ROCm] Add more timm models, forward fix pytorch#165381 (pytorch#165569)

jeffdaily · Chao1Han · commit e4bbaa26f443 · 2025-10-21T15:38:11.000+08:00
PR pytorch#165381 added timm models to cuda and cpu expected accuracy files. ROCm expected accuracy files were not updated. Pull Request resolved: pytorch#165569 Approved by: https://github.com/jeffdaily Co-authored-by: Jeff Daily <jeff.daily@amd.com>
diff --git a/benchmarks/dynamo/ci_expected_accuracy/rocm/aot_eager_timm_inference.csv b/benchmarks/dynamo/ci_expected_accuracy/rocm/aot_eager_timm_inference.csv
@@ -10,10 +10,18 @@ beit_base_patch16_224,pass,0
 
 
 
+convnextv2_nano.fcmae_ft_in22k_in1k,pass,0
+
+
+
 deit_base_distilled_patch16_224,pass,0
 
 
 
+deit_tiny_patch16_224.fb_in1k,pass,0
+
+
+
 dm_nfnet_f0,pass,0
 
 
@@ -55,3 +63,11 @@ tf_efficientnet_b0,pass,0
 
 
 visformer_small,pass,0
+
+
+
+vit_base_patch14_dinov2.lvd142m,pass,0
+
+
+
+vit_base_patch16_siglip_256,pass,0
diff --git a/benchmarks/dynamo/ci_expected_accuracy/rocm/aot_eager_timm_training.csv b/benchmarks/dynamo/ci_expected_accuracy/rocm/aot_eager_timm_training.csv
@@ -10,10 +10,18 @@ beit_base_patch16_224,pass,7
 
 
 
+convnextv2_nano.fcmae_ft_in22k_in1k,pass,7
+
+
+
 deit_base_distilled_patch16_224,pass,7
 
 
 
+deit_tiny_patch16_224.fb_in1k,pass,7
+
+
+
 dm_nfnet_f0,pass,6
 
 
@@ -55,3 +63,11 @@ tf_efficientnet_b0,pass,6
 
 
 visformer_small,pass,7
+
+
+
+vit_base_patch14_dinov2.lvd142m,pass,7
+
+
+
+vit_base_patch16_siglip_256,pass,7
diff --git a/benchmarks/dynamo/ci_expected_accuracy/rocm/aot_inductor_timm_inference.csv b/benchmarks/dynamo/ci_expected_accuracy/rocm/aot_inductor_timm_inference.csv
@@ -10,10 +10,18 @@ beit_base_patch16_224,pass,0
 
 
 
+convnextv2_nano.fcmae_ft_in22k_in1k,pass,0
+
+
+
 deit_base_distilled_patch16_224,pass,0
 
 
 
+deit_tiny_patch16_224.fb_in1k,pass,0
+
+
+
 dm_nfnet_f0,pass,0
 
 
@@ -55,3 +63,11 @@ tf_efficientnet_b0,pass,0
 
 
 visformer_small,pass,0
+
+
+
+vit_base_patch14_dinov2.lvd142m,pass,0
+
+
+
+vit_base_patch16_siglip_256,pass,0
diff --git a/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_aot_eager_timm_inference.csv b/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_aot_eager_timm_inference.csv
@@ -10,10 +10,18 @@ beit_base_patch16_224,pass,0
 
 
 
+convnextv2_nano.fcmae_ft_in22k_in1k,pass,0
+
+
+
 deit_base_distilled_patch16_224,pass,0
 
 
 
+deit_tiny_patch16_224.fb_in1k,pass,0
+
+
+
 dm_nfnet_f0,pass,0
 
 
@@ -55,3 +63,11 @@ tf_efficientnet_b0,pass,0
 
 
 visformer_small,pass,0
+
+
+
+vit_base_patch14_dinov2.lvd142m,pass,0
+
+
+
+vit_base_patch16_siglip_256,pass,0
diff --git a/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_aot_eager_timm_training.csv b/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_aot_eager_timm_training.csv
@@ -10,10 +10,18 @@ beit_base_patch16_224,pass,7
 
 
 
+convnextv2_nano.fcmae_ft_in22k_in1k,pass,7
+
+
+
 deit_base_distilled_patch16_224,pass,7
 
 
 
+deit_tiny_patch16_224.fb_in1k,pass,7
+
+
+
 dm_nfnet_f0,pass,6
 
 
@@ -55,3 +63,11 @@ tf_efficientnet_b0,pass,6
 
 
 visformer_small,pass,7
+
+
+
+vit_base_patch14_dinov2.lvd142m,pass,7
+
+
+
+vit_base_patch16_siglip_256,pass,7
diff --git a/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_inductor_timm_inference.csv b/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_inductor_timm_inference.csv
@@ -10,10 +10,18 @@ beit_base_patch16_224,pass,0
 
 
 
+convnextv2_nano.fcmae_ft_in22k_in1k,pass,0
+
+
+
 deit_base_distilled_patch16_224,pass,0
 
 
 
+deit_tiny_patch16_224.fb_in1k,pass,0
+
+
+
 dm_nfnet_f0,pass,0
 
 
@@ -55,3 +63,11 @@ tf_efficientnet_b0,pass,0
 
 
 visformer_small,pass,0
+
+
+
+vit_base_patch14_dinov2.lvd142m,pass,0
+
+
+
+vit_base_patch16_siglip_256,pass,0
diff --git a/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_inductor_timm_training.csv b/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamic_inductor_timm_training.csv
@@ -10,10 +10,18 @@ beit_base_patch16_224,pass,7
 
 
 
+convnextv2_nano.fcmae_ft_in22k_in1k,pass,7
+
+
+
 deit_base_distilled_patch16_224,pass,7
 
 
 
+deit_tiny_patch16_224.fb_in1k,pass,7
+
+
+
 dm_nfnet_f0,pass,6
 
 
@@ -55,3 +63,11 @@ tf_efficientnet_b0,pass,6
 
 
 visformer_small,fail_accuracy,7
+
+
+
+vit_base_patch14_dinov2.lvd142m,pass,7
+
+
+
+vit_base_patch16_siglip_256,pass,7
diff --git a/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamo_eager_timm_inference.csv b/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamo_eager_timm_inference.csv
@@ -10,10 +10,18 @@ beit_base_patch16_224,pass,0
 
 
 
+convnextv2_nano.fcmae_ft_in22k_in1k,pass,0
+
+
+
 deit_base_distilled_patch16_224,pass,0
 
 
 
+deit_tiny_patch16_224.fb_in1k,pass,0
+
+
+
 dm_nfnet_f0,pass,0
 
 
@@ -55,3 +63,11 @@ tf_efficientnet_b0,pass,0
 
 
 visformer_small,pass,0
+
+
+
+vit_base_patch14_dinov2.lvd142m,pass,0
+
+
+
+vit_base_patch16_siglip_256,pass,0
diff --git a/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamo_eager_timm_training.csv b/benchmarks/dynamo/ci_expected_accuracy/rocm/dynamo_eager_timm_training.csv
@@ -10,10 +10,18 @@ beit_base_patch16_224,pass,7
 
 
 
+convnextv2_nano.fcmae_ft_in22k_in1k,pass,7
+
+
+
 deit_base_distilled_patch16_224,pass,7
 
 
 
+deit_tiny_patch16_224.fb_in1k,pass,7
+
+
+
 dm_nfnet_f0,pass,6
 
 
@@ -55,3 +63,11 @@ tf_efficientnet_b0,pass,6
 
 
 visformer_small,pass,7
+
+
+
+vit_base_patch14_dinov2.lvd142m,pass,7
+
+
+
+vit_base_patch16_siglip_256,pass,7
diff --git a/benchmarks/dynamo/ci_expected_accuracy/rocm/inductor_timm_inference.csv b/benchmarks/dynamo/ci_expected_accuracy/rocm/inductor_timm_inference.csv
@@ -10,10 +10,18 @@ beit_base_patch16_224,pass,0
 
 
 
+convnextv2_nano.fcmae_ft_in22k_in1k,pass,0
+
+
+
 deit_base_distilled_patch16_224,pass,0
 
 
 
+deit_tiny_patch16_224.fb_in1k,pass,0
+
+
+
 dm_nfnet_f0,pass,0
 
 
@@ -55,3 +63,11 @@ tf_efficientnet_b0,pass,0
 
 
 visformer_small,pass,0
+
+
+
+vit_base_patch14_dinov2.lvd142m,pass,0
+
+
+
+vit_base_patch16_siglip_256,pass,0
diff --git a/benchmarks/dynamo/ci_expected_accuracy/rocm/inductor_timm_training.csv b/benchmarks/dynamo/ci_expected_accuracy/rocm/inductor_timm_training.csv
@@ -10,10 +10,18 @@ beit_base_patch16_224,pass,7
 
 
 
+convnextv2_nano.fcmae_ft_in22k_in1k,fail_accuracy,7
+
+
+
 deit_base_distilled_patch16_224,pass,7
 
 
 
+deit_tiny_patch16_224.fb_in1k,pass,7
+
+
+
 dm_nfnet_f0,pass,6
 
 
@@ -55,3 +63,11 @@ tf_efficientnet_b0,pass,6
 
 
 visformer_small,pass,7
+
+
+
+vit_base_patch14_dinov2.lvd142m,fail_accuracy,7
+
+
+
+vit_base_patch16_siglip_256,pass,7
