how to solve this error?

[ahmadmubashir]

runfile('C:/Users/Mubashir/Desktop/pytorch-deeplab-resnet-master/train.py', wdir='C:/Users/Mubashir/Desktop/pytorch-deeplab-resnet-master') Reloaded modules: torch._utils, torch.version, torch._C, torch.serialization, torch._tensor_str, torch.storage, torch.tensor, torch.functional, torch.cuda, torch.cuda.random, torch.cuda.sparse, torch.sparse, torch.cuda.nvtx, torch.cuda.streams, torch.autograd, torch.autograd.variable, torch.utils, torch.utils.hooks, torch.autograd._functions, torch.autograd._functions.basic_ops, torch.autograd.function, torch._six, torch.autograd._functions.utils, torch.autograd._functions.tensor, torch.autograd._functions.pointwise, torch._thnn, torch._thnn.utils, torch.autograd._functions.reduce, torch.autograd._functions.linalg, torch.autograd._functions.blas, torch.autograd._functions.stochastic, torch.autograd.stochastic_function, torch.autograd._functions.compare, torch.autograd.gradcheck, torch.nn, torch.nn.modules, torch.nn.modules.module, torch.nn.backends, torch.nn.backends.thnn, torch.nn.backends.backend, torch.nn._functions, torch.nn._functions.thnn, torch.nn._functions.thnn.auto, torch.nn._functions.thnn.auto_double_backwards, torch.nn._functions.thnn.normalization, torch.nn._functions.thnn.activation, torch.nn._functions.thnn.pooling, torch.nn.modules.utils, torch.nn._functions.thnn.sparse, torch.nn._functions.thnn.upsampling, torch.nn._functions.thnn.rnnFusedPointwise, torch.nn._functions.thnn.batchnorm_double_backwards, torch.nn._functions.rnn, torch.backends, torch.backends.cudnn, torch.nn.functional, torch.nn._functions.linear, torch.nn._functions.padding, torch.nn._functions.vision, torch.backends.cudnn.rnn, torch.nn._functions.dropout, torch.nn._functions.activation, torch.nn._functions.loss, torch.nn.parameter, torch.nn.modules.linear, torch.nn.modules.conv, torch.nn.modules.activation, torch.nn.modules.loss, torch.nn.modules.container, torch.nn.modules.pooling, torch.nn.modules.batchnorm, torch.nn.modules.instancenorm, torch.nn.modules.dropout, torch.nn.modules.padding, torch.nn.modules.normalization, torch.nn.modules.sparse, torch.nn.modules.rnn, torch.nn.utils, torch.nn.utils.rnn, torch.nn.utils.clip_grad, torch.nn.utils.weight_norm, torch.nn.modules.pixelshuffle, torch.nn.modules.upsampling, torch.nn.modules.distance, torch.nn.parallel, torch.nn.parallel.parallel_apply, torch.nn.parallel.replicate, torch.cuda.comm, torch.cuda.nccl, torch.nn.parallel.data_parallel, torch.nn.parallel.scatter_gather, torch.nn.parallel._functions, torch.nn.parallel.distributed, torch.distributed, torch.nn.init, torch.optim, torch.optim.adadelta, torch.optim.optimizer, torch.optim.adagrad, torch.optim.adam, torch.optim.adamax, torch.optim.asgd, torch.optim.sgd, torch.optim.rprop, torch.optim.rmsprop, torch.optim.lbfgs, torch.multiprocessing, torch.multiprocessing.reductions, torch.utils.backcompat Traceback (most recent call last):

File "", line 1, in runfile('C:/Users/Mubashir/Desktop/pytorch-deeplab-resnet-master/train.py', wdir='C:/Users/Mubashir/Desktop/pytorch-deeplab-resnet-master')

File "D:/Anaconda3/lib/site-packages/spyder/utils/site/sitecustomize.py", line 705, in runfile execfile(filename, namespace)

File "D:/Anaconda3/lib/site-packages/spyder/utils/site/sitecustomize.py", line 102, in execfile exec(compile(f.read(), filename, 'exec'), namespace)

File "C:/Users/Mubashir/Desktop/pytorch-deeplab-resnet-master/train.py", line 1, in import torch

File "D:\Anaconda3\lib\site-packages\torch__init__.py", line 358, in from . import _torch_docs, _tensor_docs, _storage_docs

File "D:\Anaconda3\lib\site-packages\torch_torch_docs.py", line 15, in """)

RuntimeError: function 'abs' already has a docstring