Hi, I have performed all the necessary steps as mentioned in the readme section. Also, for mxnet I have installed using the command "pip install mxnet-cu101". I have performed all these steps in Google Colab. Everything works fine, but when running command "sudo bash train.sh", I got the following error:
[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.updatedict(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]):
Please, guide me in this and how I can detach these errors and run TASN successfully
Hi, I have performed all the necessary steps as mentioned in the readme section. Also, for mxnet I have installed using the command "pip install mxnet-cu101". I have performed all these steps in Google Colab. Everything works fine, but when running command "sudo bash train.sh", I got the following error:
[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.updatedict(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]):
Please, guide me in this and how I can detach these errors and run TASN successfully