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Traceback (most recent call last):
File "/home/xu/Project/Deep-Feature-Flow/dff_rfcn/train_end2end.py", line 186, in
main()
File "/home/xu/Project/Deep-Feature-Flow/dff_rfcn/train_end2end.py", line 183, in main
config.TRAIN.begin_epoch, config.TRAIN.end_epoch, config.TRAIN.lr, config.TRAIN.lr_step)
File "/home/xu/Project/Deep-Feature-Flow/dff_rfcn/train_end2end.py", line 175, in train_net
arg_params=arg_params, aux_params=aux_params, begin_epoch=begin_epoch, num_epoch=end_epoch)
File "/home/xu/Project/Deep-Feature-Flow/dff_rfcn/core/module.py", line 977, in fit
self.update_metric(eval_metric, data_batch.label)
File "/home/xu/Project/Deep-Feature-Flow/dff_rfcn/core/module.py", line 1069, in update_metric
self._curr_module.update_metric(eval_metric, labels)
File "/home/xu/Project/Deep-Feature-Flow/dff_rfcn/core/module.py", line 670, in update_metric
self._exec_group.update_metric(eval_metric, labels)
File "/home/xu/Project/Deep-Feature-Flow/dff_rfcn/core/DataParallelExecutorGroup.py", line 481, in update_metric
eval_metric.update(labels, texec.outputs)
File "/usr/local/lib/python2.7/dist-packages/mxnet/metric.py", line 318, in update
metric.update(labels, preds)
File "/home/xu/Project/Deep-Feature-Flow/dff_rfcn/core/metric.py", line 56, in update
pred_label = mx.ndarray.argmax_channel(pred).asnumpy().astype('int32')
File "/usr/local/lib/python2.7/dist-packages/mxnet/ndarray/ndarray.py", line 1972, in asnumpy
ctypes.c_size_t(data.size)))
File "/usr/local/lib/python2.7/dist-packages/mxnet/base.py", line 251, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [18:36:26] /home/travis/build/dmlc/mxnet-distro/mxnet-build/3rdparty/mshadow/mshadow/././././cuda/tensor_gpu-inl.cuh:58: too large launch parameter: AddTakeGrad[142000,1], [64,1,1]
Who can help me?thanks a lot
Traceback (most recent call last):
File "/home/xu/Project/Deep-Feature-Flow/dff_rfcn/train_end2end.py", line 186, in
main()
File "/home/xu/Project/Deep-Feature-Flow/dff_rfcn/train_end2end.py", line 183, in main
config.TRAIN.begin_epoch, config.TRAIN.end_epoch, config.TRAIN.lr, config.TRAIN.lr_step)
File "/home/xu/Project/Deep-Feature-Flow/dff_rfcn/train_end2end.py", line 175, in train_net
arg_params=arg_params, aux_params=aux_params, begin_epoch=begin_epoch, num_epoch=end_epoch)
File "/home/xu/Project/Deep-Feature-Flow/dff_rfcn/core/module.py", line 977, in fit
self.update_metric(eval_metric, data_batch.label)
File "/home/xu/Project/Deep-Feature-Flow/dff_rfcn/core/module.py", line 1069, in update_metric
self._curr_module.update_metric(eval_metric, labels)
File "/home/xu/Project/Deep-Feature-Flow/dff_rfcn/core/module.py", line 670, in update_metric
self._exec_group.update_metric(eval_metric, labels)
File "/home/xu/Project/Deep-Feature-Flow/dff_rfcn/core/DataParallelExecutorGroup.py", line 481, in update_metric
eval_metric.update(labels, texec.outputs)
File "/usr/local/lib/python2.7/dist-packages/mxnet/metric.py", line 318, in update
metric.update(labels, preds)
File "/home/xu/Project/Deep-Feature-Flow/dff_rfcn/core/metric.py", line 56, in update
pred_label = mx.ndarray.argmax_channel(pred).asnumpy().astype('int32')
File "/usr/local/lib/python2.7/dist-packages/mxnet/ndarray/ndarray.py", line 1972, in asnumpy
ctypes.c_size_t(data.size)))
File "/usr/local/lib/python2.7/dist-packages/mxnet/base.py", line 251, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [18:36:26] /home/travis/build/dmlc/mxnet-distro/mxnet-build/3rdparty/mshadow/mshadow/././././cuda/tensor_gpu-inl.cuh:58: too large launch parameter: AddTakeGrad[142000,1], [64,1,1]
Stack trace returned 10 entries:
[bt] (0) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x37f51a) [0x7fce50ff851a]
[bt] (1) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x37fb51) [0x7fce50ff8b51]
[bt] (2) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x45f24eb) [0x7fce5526b4eb]
[bt] (3) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x48433f4) [0x7fce554bc3f4]
[bt] (4) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x484375d) [0x7fce554bc75d]
[bt] (5) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x49b315d) [0x7fce5562c15d]
[bt] (6) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2b041a9) [0x7fce5377d1a9]
[bt] (7) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2b0aec7) [0x7fce53783ec7]
[bt] (8) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2ae90f4) [0x7fce537620f4]
[bt] (9) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2aed3c3) [0x7fce537663c3]
The text was updated successfully, but these errors were encountered: