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File "/data/users/suo/fbsource/genai/frontier/verl/verl/single_controller/monarch/base.py", line 548, in func | |
File "/packages/verl_workspace/verl/verl/single_controller/base/decorator.py", line 594, in inner | |
return func(*args, **kwargs) | |
File "/packages/verl_workspace/verl/verl/utils/profiler/performance.py", line 96, in f | |
return self.log(decorated_function, *args, **kwargs) | |
File "/packages/verl_workspace/verl/verl/utils/profiler/performance.py", line 109, in log | |
output = func(*args, **kwargs) | |
File "/packages/verl_workspace/verl/verl/workers/megatron_workers.py", line 764, in compute_log_prob | |
output, entropys = self.actor.compute_log_prob( | |
File "/packages/verl_workspace/verl/verl/utils/profiler/performance.py", line 96, in f |
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I! CuDNN (v90800 87) function cudnnCreate() called: | |
i! handle: location=host; addr=0x55ba34aedc70; | |
i! Time: 2025-07-16T17:36:49.965429 (0d+0h+0m+3s since start) | |
i! Process=1973364; Thread=1973364; GPU=NULL; Handle=NULL; StreamId=NULL. | |
I! CuDNN (v90800 87) function cudnnGraphLibraryConfigInit() called: | |
i! apiLog: type=cudnnLibConfig_t; val=FULL; | |
i! Time: 2025-07-16T17:36:49.965483 (0d+0h+0m+3s since start) | |
i! Process=1973364; Thread=1973364; GPU=NULL; Handle=NULL; StreamId=NULL. |
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import torch | |
import transformer_engine | |
import transformer_engine_torch as tex | |
obj = torch.load("te_fused_attn_fwd_inputs.pt", weights_only=False) | |
print(obj) | |
print(tex.fused_attn_fwd(*obj)) |
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PyTorch version: 2.6.0+cu124 | |
Is debug build: False | |
CUDA used to build PyTorch: 12.4 | |
ROCM used to build PyTorch: N/A | |
OS: CentOS Stream 9 (x86_64) | |
GCC version: (conda-forge gcc 15.1.0-3) 15.1.0 | |
Clang version: 20.1.3 (CentOS 20.1.3-1.el9) | |
CMake version: Could not collect | |
Libc version: glibc-2.34 |
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No | X1 transaction date | X2 house age | X3 distance to the nearest MRT station | X4 number of convenience stores | X5 latitude | X6 longitude | Y house price of unit area | |
---|---|---|---|---|---|---|---|---|
1 | 2012.917 | 32 | 84.87882 | 10 | 24.98298 | 121.54024 | 37.9 | |
2 | 2012.917 | 19.5 | 306.5947 | 9 | 24.98034 | 121.53951 | 42.2 | |
3 | 2013.583 | 13.3 | 561.9845 | 5 | 24.98746 | 121.54391 | 47.3 | |
4 | 2013.500 | 13.3 | 561.9845 | 5 | 24.98746 | 121.54391 | 54.8 | |
5 | 2012.833 | 5 | 390.5684 | 5 | 24.97937 | 121.54245 | 43.1 | |
6 | 2012.667 | 7.1 | 2175.03 | 3 | 24.96305 | 121.51254 | 32.1 | |
7 | 2012.667 | 34.5 | 623.4731 | 7 | 24.97933 | 121.53642 | 40.3 | |
8 | 2013.417 | 20.3 | 287.6025 | 6 | 24.98042 | 121.54228 | 46.7 | |
9 | 2013.500 | 31.7 | 5512.038 | 1 | 24.95095 | 121.48458 | 18.8 |
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"LOCATION","Country","INDICATOR","Indicator","MEASURE","Measure","INEQUALITY","Inequality","Unit Code","Unit","PowerCode Code","PowerCode","Reference Period Code","Reference Period","Value","Flag Codes","Flags" | |
"AUS","Australia","JE_LMIS","Labour market insecurity","L","Value","TOT","Total","PC","Percentage","0","Units",,,3.1,, | |
"AUT","Austria","JE_LMIS","Labour market insecurity","L","Value","TOT","Total","PC","Percentage","0","Units",,,2.3,, | |
"BEL","Belgium","JE_LMIS","Labour market insecurity","L","Value","TOT","Total","PC","Percentage","0","Units",,,2.4,, | |
"CAN","Canada","JE_LMIS","Labour market insecurity","L","Value","TOT","Total","PC","Percentage","0","Units",,,3.8,, | |
"CZE","Czech Republic","JE_LMIS","Labour market insecurity","L","Value","TOT","Total","PC","Percentage","0","Units",,,2.3,, | |
"DNK","Denmark","JE_LMIS","Labour market insecurity","L","Value","TOT","Total","PC","Percentage","0","Units",,,4.5,, | |
"FIN","Finland","JE_LMIS","Labour market insecurity","L","Value","TOT","Total","PC","Percentage","0","U |
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File "/private/home/suo/scratch/test.py", line 11, in <module> | |
func(a, b) | |
File "/raid/suo/pytorch/torch/_dynamo/eval_frame.py", line 176, in _fn | |
return fn(*args, **kwargs) | |
File "/private/home/suo/scratch/test.py", line 5, in func | |
@torchdynamo.optimize("nvprims_nvfuser") | |
File "/raid/suo/pytorch/torch/_dynamo/eval_frame.py", line 176, in _fn | |
return fn(*args, **kwargs) | |
File "/raid/suo/pytorch/functorch/_src/aot_autograd.py", line 870, in forward | |
return compiled_f( |
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Traceback (most recent call last): | |
File "/raid/suo/pytorch/torch/_dynamo/convert_frame.py", line 380, in _compile | |
out_code = transform_code_object(code, transform) | |
File "/raid/suo/pytorch/torch/_dynamo/bytecode_transformation.py", line 341, in transform_code_object | |
transformations(instructions, code_options) | |
File "/raid/suo/pytorch/torch/_dynamo/convert_frame.py", line 357, in transform | |
tracer = InstructionTranslator( | |
File "/raid/suo/pytorch/torch/_dynamo/symbolic_convert.py", line 1399, in __init__ | |
self.symbolic_locals = collections.OrderedDict( | |
File "/raid/suo/pytorch/torch/_dynamo/symbolic_convert.py", line 1400, in <genexpr> |
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[{"name": "CMakeFiles/install.util", "cat": "targets", "ph": "X", "ts": 264686000, "dur": 1228000, "pid": 0, "tid": 0, "args": {}}, {"name": "lib/libnnapi_backend.so", "cat": "targets", "ph": "X", "ts": 264563000, "dur": 123000, "pid": 0, "tid": 0, "args": {}}, {"name": "lib/libtorch_python.so", "cat": "targets", "ph": "X", "ts": 264230000, "dur": 333000, "pid": 0, "tid": 0, "args": {}}, {"name": "bin/torch_shm_manager", "cat": "targets", "ph": "X", "ts": 264230000, "dur": 130000, "pid": 0, "tid": 1, "args": {}}, {"name": "lib/libtorch_cuda_linalg.so", "cat": "targets", "ph": "X", "ts": 263984000, "dur": 342000, "pid": 0, "tid": 2, "args": {}}, {"name": "lib/libshm.so", "cat": "targets", "ph": "X", "ts": 264108000, "dur": 122000, "pid": 0, "tid": 0, "args": {}}, {"name": "lib/libtorch.so", "cat": "targets", "ph": "X", "ts": 263984000, "dur": 124000, "pid": 0, "tid": 0, "args": {}}, {"name": "lib/libtorch_cuda.so", "cat": "targets", "ph": "X", "ts": 263110000, "dur": 873000, "pid": 0, "tid": 0, "args": {}}, {" |
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[{"name": "CMakeFiles/install.util", "cat": "targets", "ph": "X", "ts": 294887000, "dur": 2602000, "pid": 0, "tid": 0, "args": {}}, {"name": "lib/libnnapi_backend.so", "cat": "targets", "ph": "X", "ts": 294568000, "dur": 319000, "pid": 0, "tid": 0, "args": {}}, {"name": "lib/libtorch_python.so", "cat": "targets", "ph": "X", "ts": 291494000, "dur": 3074000, "pid": 0, "tid": 0, "args": {}}, {"name": "bin/torch_shm_manager", "cat": "targets", "ph": "X", "ts": 291494000, "dur": 274000, "pid": 0, "tid": 1, "args": {}}, {"name": "lib/libshm.so", "cat": "targets", "ph": "X", "ts": 291225000, "dur": 269000, "pid": 0, "tid": 0, "args": {}}, {"name": "lib/libtorch_cuda_linalg.so", "cat": "targets", "ph": "X", "ts": 290957000, "dur": 533000, "pid": 0, "tid": 1, "args": {}}, {"name": "lib/libtorch.so", "cat": "targets", "ph": "X", "ts": 290957000, "dur": 268000, "pid": 0, "tid": 0, "args": {}}, {"name": "lib/libtorch_cuda.so", "cat": "targets", "ph": "X", "ts": 283423000, "dur": 7534000, "pid": 0, "tid": 0, "args": {}}, |
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