NotImplementedError

[Ajithbalakrishnan]

Hi Team,

I followed your instructions as it is and I got an error listed below.
`

+---------+-----------+----------+
| example | sentences | entities |
+---------+-----------+----------+
| train | 1 | 6 |
| dev | 1 | 1 |
| test | 1 | 2 |
+---------+-----------+----------+
2022-05-27 11:20:50 - INFO: Building Model
2022-05-27 11:20:56 - INFO: Epoch: 0
Traceback (most recent call last):
File "main.py", line 299, in
trainer.train(i, train_loader)
File "main.py", line 75, in train
label_result = torch.cat(label_result)
NotImplementedError: There were no tensor arguments to this function (e.g., you passed an empty list of Tensors), but no fallback function is registered for schema aten::_cat. This usually means that this function requires a non-empty list of Tensors, or that you (the operator writer) forgot to register a fallback function. Available functions are [CPU, CUDA, QuantizedCPU, BackendSelect, Python, Named, Conjugate, Negative, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, AutogradLazy, AutogradXPU, AutogradMLC, AutogradHPU, AutogradNestedTensor, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, Tracer, UNKNOWN_TENSOR_TYPE_ID, Autocast, Batched, VmapMode].

CPU: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/build/aten/src/ATen/RegisterCPU.cpp:18433 [kernel]
CUDA: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/build/aten/src/ATen/RegisterCUDA.cpp:26496 [kernel]
QuantizedCPU: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/build/aten/src/ATen/RegisterQuantizedCPU.cpp:1068 [kernel]
BackendSelect: fallthrough registered at /opt/conda/conda-bld/pytorch_1634272068694/work/aten/src/ATen/core/BackendSelectFallbackKernel.cpp:3 [backend fallback]
Python: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/aten/src/ATen/core/PythonFallbackKernel.cpp:47 [backend fallback]
Named: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback]
Conjugate: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/aten/src/ATen/ConjugateFallback.cpp:18 [backend fallback]
Negative: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/aten/src/ATen/native/NegateFallback.cpp:18 [backend fallback]
ADInplaceOrView: fallthrough registered at /opt/conda/conda-bld/pytorch_1634272068694/work/aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback]
AutogradOther: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradCPU: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradCUDA: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradXLA: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradLazy: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradXPU: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradMLC: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradHPU: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradNestedTensor: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradPrivateUse1: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradPrivateUse2: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
AutogradPrivateUse3: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/torch/csrc/autograd/generated/VariableType_3.cpp:10141 [autograd kernel]
Tracer: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/torch/csrc/autograd/generated/TraceType_3.cpp:11560 [kernel]
UNKNOWN_TENSOR_TYPE_ID: fallthrough registered at /opt/conda/conda-bld/pytorch_1634272068694/work/aten/src/ATen/autocast_mode.cpp:466 [backend fallback]
Autocast: fallthrough registered at /opt/conda/conda-bld/pytorch_1634272068694/work/aten/src/ATen/autocast_mode.cpp:305 [backend fallback]
Batched: registered at /opt/conda/conda-bld/pytorch_1634272068694/work/aten/src/ATen/BatchingRegistrations.cpp:1016 [backend fallback]
VmapMode: fallthrough registered at /opt/conda/conda-bld/pytorch_1634272068694/work/aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback]

`

I am attaching my conda env here
w2ner.txt

[ljynlp]

Hi,
The example data is only for demostraing the data format we used. You can use datasets in this link.

[Ajithbalakrishnan]

Thanks. It works now.