[install MXNET] wrong: src/operator/contrib/roi_align_v2.cc

[heiyuxiaokai]

src/operator/contrib/roi_align_v2.cc:210:2: error: no matching function for call to ‘nnvm::Op::set_attr(const char [12], mxnet::op::<lambda(const nnvm::NodeAttrs&, std::vectormxnet::TShape, std::vectormxnet::TShape)>)’
})
^
In file included from include/mxnet/base.h:35:0,
from src/operator/contrib/./../mshadow_op.h:29,
from src/operator/contrib/./roi_align_v2-inl.h:12,
from src/operator/contrib/roi_align_v2.cc:7:
/home/fw/Softwares/simpledet/mxnet/3rdparty/tvm/nnvm/include/nnvm/op.h:432:12: note: candidate: template nnvm::Op& nnvm::Op::set_attr(const string&, const ValueType&, int)
inline Op& Op::set_attr( // NOLINT()
^
/home/fw/Softwares/simpledet/mxnet/3rdparty/tvm/nnvm/include/nnvm/op.h:432:12: note: template argument deduction/substitution failed:
src/operator/contrib/roi_align_v2.cc:210:2: note: cannot convert ‘mxnet::op::<lambda(const nnvm::NodeAttrs&, std::vectormxnet::TShape, std::vectormxnet::TShape)>{}’ (type ‘mxnet::op::<lambda(const nnvm::NodeAttrs&, std::vectormxnet::TShape, std::vectormxnet::TShape)>’) to type ‘const std::function<bool(const nnvm::NodeAttrs&, std::vector<nnvm::TShape, std::allocatornnvm::TShape >, std::vector<nnvm::TShape, std::allocatornnvm::TShape >)>&’
})
^
src/operator/contrib/roi_align_v2.cc:211:27: error: expected primary-expression before ‘>’ token
.set_attrnnvm::FInferType("FInferType", [](const nnvm::NodeAttrs& attrs,
^
src/operator/contrib/roi_align_v2.cc:223:1: warning: left operand of comma operator has no effect [-Wunused-value]
})
^
src/operator/contrib/roi_align_v2.cc:224:2: error: ‘struct mxnet::op::<lambda(const struct nnvm::NodeAttrs&, class std::vector<int, std::allocator >, class std::vector<int, std::allocator >)>’ has no member named ‘set_attr’
.set_attr("FCompute", ROIAlignForward_v2)
^
src/operator/contrib/roi_align_v2.cc:224:19: error: expected primary-expression before ‘>’ token
.set_attr("FCompute", ROIAlignForward_v2)
^
src/operator/contrib/roi_align_v2.cc:224:38: warning: left operand of comma operator has no effect [-Wunused-value]
.set_attr("FCompute", ROIAlignForward_v2)
^
src/operator/contrib/roi_align_v2.cc:224:38: error: no context to resolve type of ‘ROIAlignForward_v2mxnet::cpu’
src/operator/contrib/roi_align_v2.cc:225:26: error: expected primary-expression before ‘>’ token
.set_attrnnvm::FGradient("FGradient", ROIAlignGrad_v2{"_backward_ROIAlign_v2"})
^
src/operator/contrib/roi_align_v2.cc:225:80: warning: left operand of comma operator has no effect [-Wunused-value]
.set_attrnnvm::FGradient("FGradient", ROIAlignGrad_v2{"_backward_ROIAlign_v2"})
^
src/operator/contrib/roi_align_v2.cc:226:2: error: ‘struct mxnet::op::ROIAlignGrad_v2’ has no member named ‘add_argument’
.add_argument("data", "NDArray-or-Symbol", "Input data to the pooling operator, a 4D Feature maps")
^
g++ -std=c++11 -c -DMSHADOW_FORCE_STREAM -Wall -Wsign-compare -O3 -DNDEBUG=1 -I/home/fw/Softwares/simpledet/mxnet/3rdparty/mshadow/ -I/home/fw/Softwares/simpledet/mxnet/3rdparty/dmlc-core/include -fPIC -I/home/fw/Softwares/simpledet/mxnet/3rdparty/tvm/nnvm/include -I/home/fw/Softwares/simpledet/mxnet/3rdparty/dlpack/include -I/home/fw/Softwares/simpledet/mxnet/3rdparty/tvm/include -Iinclude -funroll-loops -Wno-unused-parameter -Wno-unknown-pragmas -Wno-unused-local-typedefs -msse3 -mf16c -I/usr/local/cuda/include -DMSHADOW_USE_CBLAS=1 -DMSHADOW_USE_MKL=0 -I/home/fw/Softwares/simpledet/mxnet/3rdparty/mkldnn/build/install/include -DMSHADOW_RABIT_PS=0 -DMSHADOW_DIST_PS=0 -DMSHADOW_USE_PASCAL=0 -DMXNET_USE_MKLDNN=1 -DUSE_MKL=1 -I/home/fw/Softwares/simpledet/mxnet/src/operator/nn/mkldnn/ -I/home/fw/Softwares/simpledet/mxnet/3rdparty/mkldnn/build/install/include -DMXNET_USE_OPENCV=0 -DMSHADOW_USE_CUDNN=1 -DMXNET_USE_DIST_KVSTORE -I/home/fw/Softwares/simpledet/mxnet/3rdparty/ps-lite/include -I/home/fw/Softwares/simpledet/mxnet/deps/include -I/home/fw/Softwares/simpledet/mxnet/3rdparty/nvidia_cub -I/include -DMXNET_USE_NCCL=1 -DMXNET_USE_LIBJPEG_TURBO=0 -MMD -c src/operator/contrib/sync_batch_norm.cc -o build/src/operator/contrib/sync_batch_norm.o
Makefile:508: recipe for target 'build/src/operator/contrib/roi_align_v2.o' failed
make: *** [build/src/operator/contrib/roi_align_v2.o] Error 1
make: *** Waiting for unfinished jobs....
In file included from src/operator/contrib/sync_batch_norm.cc:26:0:
src/operator/contrib/sync_batch_norm-inl.h: In member function ‘virtual bool mxnet::op::SyncBatchNormProp::InferType(std::vector<int, std::allocator >, std::vector<int, std::allocator >, std::vector<int, std::allocator >) const’:
src/operator/contrib/sync_batch_norm-inl.h:587:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
for (index_t i = 1; i < in_type->size(); ++i) {
^
src/operator/contrib/sync_batch_norm-inl.h:594:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
for (index_t i = 0; i < aux_type->size(); ++i) {
^

[chenxia-han]

It is due to the modification of NNVM API in apache/mxnet#14270. We will fix it soon, or you can switch to an early version of MXNet such as 1.4.0.

[heiyuxiaokai]

Thanks for your reply!@xchani
I will try an early version.But when I tried the docker image to train, I got some error with CUDA:

04-24 16:02:04 total iter 868428
04-24 16:02:04 lr 0.00125, lr_iters [2880000, 3840000]
04-24 16:02:04 warmup lr 0.0, warmup step 48000
04-24 16:02:07 Initialized bbox_cls_logit_bias as bias: 0.0
04-24 16:02:07 Initialized bbox_cls_logit_weight as ["normal", {"sigma": 0.01}]: 0.009981153
04-24 16:02:07 Initialized bbox_reg_delta_bias as bias: 0.0
04-24 16:02:07 Initialized bbox_reg_delta_weight as ["normal", {"sigma": 0.001}]: 0.0009942584
04-24 16:02:07 Initialized rpn_bbox_delta_bias as bias: 0.0
04-24 16:02:07 Initialized rpn_bbox_delta_weight as ["normal", {"sigma": 0.01}]: 0.009982816
04-24 16:02:07 Initialized rpn_cls_logit_bias as bias: 0.0
04-24 16:02:07 Initialized rpn_cls_logit_weight as ["normal", {"sigma": 0.01}]: 0.010042911
04-24 16:02:07 Initialized rpn_conv_3x3_bias as bias: 0.0
04-24 16:02:07 Initialized rpn_conv_3x3_weight as ["normal", {"sigma": 0.01}]: 0.009972133
04-24 16:02:08 Initialized stage3_unit21_conv2_offset_bias as bias: 0.0
04-24 16:02:08 Initialized stage3_unit21_conv2_offset_weight as weight: 0.029432593
04-24 16:02:08 Initialized stage3_unit22_conv2_offset_bias as bias: 0.0
04-24 16:02:08 Initialized stage3_unit22_conv2_offset_weight as weight: 0.029415503
04-24 16:02:08 Initialized stage3_unit23_conv2_offset_bias as bias: 0.0
04-24 16:02:08 Initialized stage3_unit23_conv2_offset_weight as weight: 0.029460358
Traceback (most recent call last):
File "detection_train.py", line 231, in
train_net(parse_args())
File "detection_train.py", line 215, in train_net
num_epoch=end_epoch
File "/home/core/detection_module.py", line 995, in fit
self.update_metric(eval_metric, data_batch.label)
File "/home/core/detection_module.py", line 783, in update_metric
self.exec_group.update_metric(eval_metric, labels, pre_sliced)
File "/root/.pyenv/versions/3.6.8/lib/python3.6/site-packages/mxnet-1.3.1-py3.6.egg/mxnet/module/executor_group.py", line 639, in update_metric
eval_metric.update_dict(labels, preds)
File "/root/.pyenv/versions/3.6.8/lib/python3.6/site-packages/mxnet-1.3.1-py3.6.egg/mxnet/metric.py", line 304, in update_dict
metric.update_dict(labels, preds)
File "/root/.pyenv/versions/3.6.8/lib/python3.6/site-packages/mxnet-1.3.1-py3.6.egg/mxnet/metric.py", line 132, in update_dict
self.update(label, pred)
File "/home/core/detection_metric.py", line 41, in update
pred_label = mx.ndarray.argmax_channel(pred).astype('int32').asnumpy().reshape(-1)
File "/root/.pyenv/versions/3.6.8/lib/python3.6/site-packages/mxnet-1.3.1-py3.6.egg/mxnet/ndarray/ndarray.py", line 1972, in asnumpy
ctypes.c_size_t(data.size)))
File "/root/.pyenv/versions/3.6.8/lib/python3.6/site-packages/mxnet-1.3.1-py3.6.egg/mxnet/base.py", line 251, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [08:02:14] /mnt/ournas/yuntao.chen/mxnet-1.3.1-cuda9.0/3rdparty/mshadow/mshadow/././././cuda/tensor_gpu-inl.cuh:110: Check failed: err == cudaSuccess (48 vs. 0) Name: MapPlanKernel ErrStr:no kernel image is available for execution on the device

Stack trace returned 10 entries:
[bt] (0) /root/.pyenv/versions/3.6.8/lib/python3.6/site-packages/mxnet-1.3.1-py3.6.egg/mxnet/libmxnet.so(dmlc::StackTraceabi:cxx11+0x5b) [0x7f49ad84743b]
[bt] (1) /root/.pyenv/versions/3.6.8/lib/python3.6/site-packages/mxnet-1.3.1-py3.6.egg/mxnet/libmxnet.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x28) [0x7f49ad847fa8]
[bt] (2) /root/.pyenv/versions/3.6.8/lib/python3.6/site-packages/mxnet-1.3.1-py3.6.egg/mxnet/libmxnet.so(void mshadow::cuda::MapPlan<mshadow::sv::saveto, mshadow::Tensor<mshadow::gpu, 2, float>, mshadow::expr::ScalarExp, float>(mshadow::expr::Plan<mshadow::Tensor<mshadow::gpu, 2, float>, float>, mshadow::expr::Plan<mshadow::expr::ScalarExp, float> const&, mshadow::Shape<2>, CUstream_st*)+0x1d0) [0x7f49b2563b30]
[bt] (3) /root/.pyenv/versions/3.6.8/lib/python3.6/site-packages/mxnet-1.3.1-py3.6.egg/mxnet/libmxnet.so(void mxnet::ndarray::Evalmshadow::gpu(float const&, mxnet::TBlob*, mxnet::RunContext)+0x16a) [0x7f49b275ce2a]
[bt] (4) /root/.pyenv/versions/3.6.8/lib/python3.6/site-packages/mxnet-1.3.1-py3.6.egg/mxnet/libmxnet.so(+0x3890d19) [0x7f49b0342d19]
[bt] (5) /root/.pyenv/versions/3.6.8/lib/python3.6/site-packages/mxnet-1.3.1-py3.6.egg/mxnet/libmxnet.so(+0x3df061b) [0x7f49b08a261b]
[bt] (6) /root/.pyenv/versions/3.6.8/lib/python3.6/site-packages/mxnet-1.3.1-py3.6.egg/mxnet/libmxnet.so(mxnet::engine::ThreadedEngine::ExecuteOprBlock(mxnet::RunContext, mxnet::engine::OprBlock*)+0x8e5) [0x7f49b089bf15]
[bt] (7) /root/.pyenv/versions/3.6.8/lib/python3.6/site-packages/mxnet-1.3.1-py3.6.egg/mxnet/libmxnet.so(void mxnet::engine::ThreadedEnginePerDevice::GPUWorker<(dmlc::ConcurrentQueueType)0>(mxnet::Context, bool, mxnet::engine::ThreadedEnginePerDevice::ThreadWorkerBlock<(dmlc::ConcurrentQueueType)0>, std::shared_ptrdmlc::ManualEvent const&)+0xeb) [0x7f49b08b28ab]
[bt] (8) /root/.pyenv/versions/3.6.8/lib/python3.6/site-packages/mxnet-1.3.1-py3.6.egg/mxnet/libmxnet.so(std::_Function_handler<void (std::shared_ptrdmlc::ManualEvent), mxnet::engine::ThreadedEnginePerDevice::PushToExecute(mxnet::engine::OprBlock, bool)::{lambda()#4}::operator()() const::{lambda(std::shared_ptrdmlc::ManualEvent)#1}>::_M_invoke(std::_Any_data const&, std::shared_ptrdmlc::ManualEvent&&)+0x4e) [0x7f49b08b2b1e]
[bt] (9) /root/.pyenv/versions/3.6.8/lib/python3.6/site-packages/mxnet-1.3.1-py3.6.egg/mxnet/libmxnet.so(std::thread::_Impl<std::_Bind_simple<std::function<void (std::shared_ptrdmlc::ManualEvent)> (std::shared_ptrdmlc::ManualEvent)> >::_M_run()+0x4a) [0x7f49b089b51a]

[RogerChern]

Could you please provide your gpu model. This docker will not run on RTX GPUs.

[heiyuxiaokai]

2X GTX TITAN X @RogerChern

[RogerChern]

@heiyuxiaokai maxwell or pascal TITAN X?

[heiyuxiaokai]

maxwell @RogerChern

[chenxia-han]

@heiyuxiaokai We will provide docker for this gpu arch later.

[heiyuxiaokai]

@xchani Thanks!

[heiyuxiaokai]

mxnet==1.3x works
When I import mxnet, libcudart.so.8.0 can't be found. But My ubuntu use cuda9.
Python 3.5.2 (default, Nov 12 2018, 13:43:14)
[GCC 5.4.0 20160609] on linux
Type "help", "copyright", "credits" or "license" for more information.

import mxnet
Traceback (most recent call last):
File "", line 1, in
File "/home/fw/Softwares/simpledet/mxnet/python/mxnet/init.py", line 24, in
from .context import Context, current_context, cpu, gpu, cpu_pinned
File "/home/fw/Softwares/simpledet/mxnet/python/mxnet/context.py", line 24, in
from .base import classproperty, with_metaclass, _MXClassPropertyMetaClass
File "/home/fw/Softwares/simpledet/mxnet/python/mxnet/base.py", line 213, in
_LIB = _load_lib()
File "/home/fw/Softwares/simpledet/mxnet/python/mxnet/base.py", line 204, in _load_lib
lib = ctypes.CDLL(lib_path[0], ctypes.RTLD_LOCAL)
File "/usr/lib/python3.5/ctypes/init.py", line 347, in init
self._handle = _dlopen(self._name, mode)
OSError: libcudart.so.8.0: cannot open shared object file: No such file or directory

That's information of libmxnet.so:
fw@whu:~/Softwares/simpledet/mxnet/lib$ ldd libmxnet.so
linux-vdso.so.1 => (0x00007fff1376e000)
libcudart.so.9.0 => /usr/local/cuda/targets/x86_64-linux/lib/libcudart.so.9.0 (0x00007fb16dbdc000)
libcublas.so.9.0 => /usr/local/cuda/targets/x86_64-linux/lib/libcublas.so.9.0 (0x00007fb16a7a6000)
libcurand.so.9.0 => /usr/local/cuda/targets/x86_64-linux/lib/libcurand.so.9.0 (0x00007fb166842000)
libcusolver.so.9.0 => /usr/local/cuda/targets/x86_64-linux/lib/libcusolver.so.9.0 (0x00007fb161c47000)
libopenblas.so.0 => /usr/lib/libopenblas.so.0 (0x00007fb15fbb3000)
librt.so.1 => /lib/x86_64-linux-gnu/librt.so.1 (0x00007fb15f9ab000)
libcudnn.so.7 => /usr/local/cuda/targets/x86_64-linux/lib/libcudnn.so.7 (0x00007fb14e514000)
libcufft.so.9.0 => /usr/local/cuda/targets/x86_64-linux/lib/libcufft.so.9.0 (0x00007fb146473000)
libnccl.so.1 => /usr/local/lib/libnccl.so.1 (0x00007fb143e10000)
libstdc++.so.6 => /usr/lib/x86_64-linux-gnu/libstdc++.so.6 (0x00007fb143a8e000)
libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007fb143785000)
libgomp.so.1 => /usr/lib/x86_64-linux-gnu/libgomp.so.1 (0x00007fb143563000)
libgcc_s.so.1 => /lib/x86_64-linux-gnu/libgcc_s.so.1 (0x00007fb14334d000)
libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007fb143130000)
libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007fb142d66000)
/lib64/ld-linux-x86-64.so.2 (0x00007fb18057a000)
libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007fb142b62000)
libgfortran.so.3 => /usr/lib/x86_64-linux-gnu/libgfortran.so.3 (0x00007fb142837000)
libcudart.so.8.0 => not found
libquadmath.so.0 => /usr/lib/x86_64-linux-gnu/libquadmath.so.0 (0x00007fb1425f8000)

cuda9 can be found, but cuda8 can't be found while there is no cuda8. Or cuda8 is required?
@xchani @RogerChern

[RogerChern]

We have updated cuda9 image to support Maxwell GPUs. Please follow instructions in setup.