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
]