Update CI skips (#96554)

Signed-off-by: Edward Z. Yang <ezyang@meta.com>

Pull Request resolved: https://github.com/pytorch/pytorch/pull/96554
Approved by: https://github.com/janeyx99
diff --git a/benchmarks/dynamo/common.py b/benchmarks/dynamo/common.py
index 5dccf2c..5109004 100644
--- a/benchmarks/dynamo/common.py
+++ b/benchmarks/dynamo/common.py
@@ -226,13 +226,9 @@
     # torchbench
     "functorch_dp_cifar10",  # timeout
     "opacus_cifar10",  # timeout
-    "fastNLP_Bert",  # AssertionError: 1900: <class 'torch.Tensor'>, 256: <class 'int'>
-    "speech_transformer",  # AssertionError: 2040: <class 'torch.Tensor'>, 256: <class 'int'>
-    "yolov3",  # AssertionError: 2304: <class 'torch.Tensor'>, 32: <class 'int'>
     # timm_models
     "convit_base",  # TypeError: Cannot convert symbols to int
-    "pnasnet5large",  # ceiling is not defined
-    "volo_d1_224",  # ceiling is not defined
+    "pnasnet5large",  # CompilationError: math.ceil
 ]
 
 CI_SKIP[CI("inductor", training=True, dynamic=True)] = [
@@ -242,14 +238,15 @@
     *CI_SKIP[CI("inductor", training=True)],
     # torchbench
     "pytorch_unet",  # TypeError: unhashable type: 'SymInt'
+    "yolov3",  # 'float' object has no attribute '_has_symbolic_sizes_strides'
     # timm_models
     "eca_botnext26ts_256",  # 'float' object has no attribute '_has_symbolic_sizes_strides'
-    "dla102",  # Accuracy failed for key name base_layer.1.bias.grad
     "mixnet_l",  # 'float' object has no attribute '_has_symbolic_sizes_strides'
     "rexnet_100",  # Accuracy failed for key name stem.bn.weight.grad
     "tf_efficientnet_b0",  # 'float' object has no attribute '_has_symbolic_sizes_strides'
     "tf_mixnet_l",  # 'float' object has no attribute '_has_symbolic_sizes_strides'
     "visformer_small",  # 'float' object has no attribute '_has_symbolic_sizes_strides'
+    "volo_d1_224",  # NameError: name 'ceiling' is not defined
 ]