I’m trying to run a single test from pytorch/test/ with pytest.
I type py.test test_vmap.py -k test_trace in the shell to execute the test test_trace() from test_vmap.py.
It says ‘1 skipped’, so I assume the behavior of trace is not properly tested because of the skipped test. How can I fix this, respectively what do I need to change so that the test is not skipped?
I assume the main issue is this: Could not run 'aten::trace' with arguments from the 'Meta' backend.
What’s meant by ‘backend’ here? I’m running on a machine with GPU and can run PyTorch programs on it just fine.
The detailed pytest output is this:
platform linux -- Python 3.7.10, pytest-6.2.3, py-1.10.0, pluggy-0.13.1
rootdir: /home/myname/pytorch, configfile: pytest.ini
plugins: hypothesis-6.10.1
collected 185 items / 181 deselected / 4 selected

test_vmap.py .s..                                                                                                                                                                                            [100%]

============================================================================================= short test summary info ==============================================================================================
SKIPPED [1] test_vmap.py:2409: not implemented: Could not run 'aten::trace' with arguments from the 'Meta' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::trace' is only available for these backends: [CPU, CUDA, BackendSelect, Named, InplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, UNKNOWN_TENSOR_TYPE_ID, AutogradMLC, AutogradNestedTensor, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, Tracer, Autocast, Batched, VmapMode].

CPU: registered at aten/src/ATen/RegisterCPU.cpp:11836 [kernel]
CUDA: registered at aten/src/ATen/RegisterCUDA.cpp:13919 [kernel]
BackendSelect: fallthrough registered at ../aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback]
Named: registered at ../aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback]
InplaceOrView: fallthrough registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:60 [backend fallback]
AutogradOther: registered at ../torch/csrc/autograd/generated/VariableType_2.cpp:9854 [autograd kernel]
AutogradCPU: registered at ../torch/csrc/autograd/generated/VariableType_2.cpp:9854 [autograd kernel]
AutogradCUDA: registered at ../torch/csrc/autograd/generated/VariableType_2.cpp:9854 [autograd kernel]
AutogradXLA: registered at ../torch/csrc/autograd/generated/VariableType_2.cpp:9854 [autograd kernel]
UNKNOWN_TENSOR_TYPE_ID: registered at ../torch/csrc/autograd/generated/VariableType_2.cpp:9854 [autograd kernel]
AutogradMLC: registered at ../torch/csrc/autograd/generated/VariableType_2.cpp:9854 [autograd kernel]
AutogradNestedTensor: registered at ../torch/csrc/autograd/generated/VariableType_2.cpp:9854 [autograd kernel]
AutogradPrivateUse1: registered at ../torch/csrc/autograd/generated/VariableType_2.cpp:9854 [autograd kernel]
AutogradPrivateUse2: registered at ../torch/csrc/autograd/generated/VariableType_2.cpp:9854 [autograd kernel]
AutogradPrivateUse3: registered at ../torch/csrc/autograd/generated/VariableType_2.cpp:9854 [autograd kernel]
Tracer: registered at ../torch/csrc/autograd/generated/TraceType_2.cpp:9566 [kernel]
Autocast: fallthrough registered at ../aten/src/ATen/autocast_mode.cpp:250 [backend fallback]
Batched: registered at ../aten/src/ATen/BatchingRegistrations.cpp:1020 [kernel]
VmapMode: fallthrough registered at ../aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback]
=================================================================================== 3 passed, 1 skipped, 181 deselected in 2.05s ===================================================================================```