Got error after running "sudo bash train.sh" command

[thapaliya123]

First, Hi, I have followed all the necessary steps as mentioned in the readme section. I have install mxnet, nccl, cudnn using "sudo bash install.sh". Upto here, everything works fine, all the necessary files have downloaded and installed. On continuing, executing the final command i.e "sudo bash train.sh", I got the following error, please guide me in this. Traceback (most recent call last): File "train.py", line 13, in from common import fit, evaluate File "/content/gdrive/My Drive/MobulaOP/tasn/tasn-mxnet/example/tasn/common/fit.py", line 1, in import mxnet as mx File "/content/gdrive/My Drive/MobulaOP/tasn/tasn-mxnet/example/tasn/mxnet_python/python/mxnet/init.py", line 24, in from .context import Context, current_context, cpu, gpu, cpu_pinned File "/content/gdrive/My Drive/MobulaOP/tasn/tasn-mxnet/example/tasn/mxnet_python/python/mxnet/context.py", line 24, in from .base import classproperty, with_metaclass, _MXClassPropertyMetaClass File "/content/gdrive/My Drive/MobulaOP/tasn/tasn-mxnet/example/tasn/mxnet_python/python/mxnet/base.py", line 213, in _LIB = _load_lib() File "/content/gdrive/My Drive/MobulaOP/tasn/tasn-mxnet/example/tasn/mxnet_python/python/mxnet/base.py", line 204, in _load_lib lib = ctypes.CDLL(lib_path[0], ctypes.RTLD_LOCAL) File "/usr/lib/python3.6/ctypes/init.py", line 348, in init self._handle = _dlopen(self._name, mode) OSError: libcudart.so.8.0: cannot open shared object file: No such file or directory

Second, I have followed similar process, except I have commented mxnet installation process from "install.sh" files, with the target of removing above mentioned error. So, I have installed mxnet using command "pip install mxnet-cu101". On executing command "sudo bash train.sh", above error was gone but I have been with next error which is shown below:

Error-Start [10:25:25] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:97: Running performance tests to find the best convolution algorithm, this can take a while... (set the environment variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable) sh: 1: nvcc: not found sh: 1: nvcc: not found Error in CustomOp.forward: Traceback (most recent call last): File "/usr/local/lib/python3.6/dist-packages/mxnet/operator.py", line 1005, in forward_entry aux=tensors[4]) File "/content/gdrive/My Drive/MobulaOP/mobula/glue/mxnet_glue.py", line 109, in forward out = self._forward(*in_data) File "./AttentionSampler/attention_sampler/attention_sampler.py", line 60, in forward mobula.func.map_step(N, attxi, index_y, stepx, att_size, out_size) File "/content/gdrive/My Drive/MobulaOP/mobula/func.py", line 264, in call using_async=using_async) File "/content/gdrive/My Drive/MobulaOP/mobula/func.py", line 145, in call func = self.loader(self, arg_types, ctx, **self.loader_kwargs) File "/content/gdrive/My Drive/MobulaOP/mobula/op/loader.py", line 499, in init _build_lib(cpp_fname, code_buffer, ctx, dll_fname) File "/content/gdrive/My Drive/MobulaOP/mobula/op/loader.py", line 237, in _build_lib source_to_so_ctx(build_path, srcs, target_name, ctx) File "/content/gdrive/My Drive/MobulaOP/mobula/building/build.py", line 167, in source_to_so_ctx buildin_cpp, buildin_o), compiler, cflags) File "/content/gdrive/My Drive/MobulaOP/mobula/building/build.py", line 41, in source_to_o run_command_parallel(commands) File "/content/gdrive/My Drive/MobulaOP/mobula/building/build_utils.py", line 97, in run_command_parallel raise RuntimeError(info) RuntimeError: Error, terminated :-(

Traceback (most recent call last): File "train.py", line 57, in eval_metric = evaluate.Multi_Accuracy(num=6)) File "/content/gdrive/My Drive/MobulaOP/tasn/tasn-mxnet/example/tasn/common/fit.py", line 195, in fit monitor = monitor) File "/usr/local/lib/python3.6/dist-packages/mxnet/module/base_module.py", line 533, in fit self.update_metric(eval_metric, data_batch.label) File "/usr/local/lib/python3.6/dist-packages/mxnet/module/module.py", line 775, in update_metric self.exec_group.update_metric(eval_metric, labels, pre_sliced) File "/usr/local/lib/python3.6/dist-packages/mxnet/module/executor_group.py", line 648, in update_metric eval_metric.update_dict(labels, preds) File "/usr/local/lib/python3.6/dist-packages/mxnet/metric.py", line 132, in update_dict self.update(label, pred) File "/content/gdrive/My Drive/MobulaOP/tasn/tasn-mxnet/example/tasn/common/evaluate.py", line 23, in update pred_label = mx.nd.argmax_channel(preds[i]).asnumpy() File "/usr/local/lib/python3.6/dist-packages/mxnet/ndarray/ndarray.py", line 2566, in asnumpy ctypes.c_size_t(data.size))) File "/usr/local/lib/python3.6/dist-packages/mxnet/base.py", line 246, in check_call raise get_last_ffi_error() mxnet.base.MXNetError: Traceback (most recent call last): File "src/operator/custom/custom.cc", line 346 MXNetError: Check failed: reinterpret_cast( params.info->callbacks[kCustomOpForward])( ptrs.size(), const_cast<void**>(ptrs.data()), const_cast<int*>(tags.data()), reinterpret_cast<const int*>(req.data()), static_cast(ctx.is_train), params.info->contexts[kCustomOpForward]): **Error-End

Please, guide me in this, how I can detach these errors and run TASN successfully