lebeg edited a comment on issue #15374: NightlyTestsForBinaries tutorials test broken URL: https://github.com/apache/incubator-mxnet/issues/15374#issuecomment-505971155 The test was broken by this PR [#15170: [MXNET-1413] Adding Large Tensor support for sort operators](https://github.com/apache/incubator-mxnet/pull/15170). The reason is that the default type of NDArray for `ArgSort` operator [changed](https://github.com/apache/incubator-mxnet/pull/15170/files#diff-067178695b7fe40b05ad18fa1a25c69dR91 ) from `kFloat32` to `kInt64` or `kInt32`. ```cpp #if USE_INT64_TENSOR_SIZE == 1 .set_default(mshadow::kInt64) #else .set_default(mshadow::kInt32) #endif ``` This has caused a problem in [gluon-cv](https://github.com/dmlc/gluon-cv) in [`SSDMultiBoxLoss`](https://github.com/dmlc/gluon-cv/blob/c2296f87484b204db4c563987db819c768ae51c6/gluoncv/loss.py#L99) in particular at [this line](https://github.com/dmlc/gluon-cv/blob/c2296f87484b204db4c563987db819c768ae51c6/gluoncv/loss.py#L158) ```python rank = (cls_loss * (pos - 1)).argsort(axis=1).argsort(axis=1) hard_negative = rank < nd.maximum(self._min_hard_negatives, pos.sum(axis=1) * self._negative_mining_ratio).expand_dims(-1) ``` ``` MXNetError: [20:54:33] /work/mxnet/3rdparty/mshadow/../../src/operator/tensor/../elemwise_op_common.h:135: Check failed: assign(&dattr, vec.at(i)): Incompatible attr in node at 1-th input: expected int32, got float32 Stack trace: [bt] (0) /work/mxnet/python/mxnet/../../lib/libmxnet.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x3c) [0x7f465e8070bc] [bt] (1) /work/mxnet/python/mxnet/../../lib/libmxnet.so(bool mxnet::op::ElemwiseAttr<int, &mxnet::op::type_is_none, &mxnet::op::type_assign, true, &mxnet::op::type_string[abi:cxx11], -1, -1>(nnvm::NodeAttrs const&, std::vector<int, std::allocator<int> >*, std::vector<int, std::allocator<int> >*, int const&)::{lambda(std::vector<int, std::allocator<int> > const&, unsigned long, char const*)#1}::operator()(std::vector<int, std::allocator<int> > const&, unsigned long, char const*) const+0x346) [0x7f465e953636] [bt] (2) /work/mxnet/python/mxnet/../../lib/libmxnet.so(bool mxnet::op::ElemwiseAttr<int, &mxnet::op::type_is_none, &mxnet::op::type_assign, true, &mxnet::op::type_string[abi:cxx11], -1, -1>(nnvm::NodeAttrs const&, std::vector<int, std::allocator<int> >*, std::vector<int, std::allocator<int> >*, int const&)+0x25d) [0x7f465e954a0d] [bt] (3) /work/mxnet/python/mxnet/../../lib/libmxnet.so(bool mxnet::op::ElemwiseType<2, 1>(nnvm::NodeAttrs const&, std::vector<int, std::allocator<int> >*, std::vector<int, std::allocator<int> >*)+0x34f) [0x7f465eb9bc5f] [bt] (4) /work/mxnet/python/mxnet/../../lib/libmxnet.so(std::_Function_handler<bool (nnvm::NodeAttrs const&, std::vector<int, std::allocator<int> >*, std::vector<int, std::allocator<int> >*), bool (*)(nnvm::NodeAttrs const&, std::vector<int, std::allocator<int> >*, std::vector<int, std::allocator<int> >*)>::_M_invoke(std::_Any_data const&, nnvm::NodeAttrs const&, std::vector<int, std::allocator<int> >*&&, std::vector<int, std::allocator<int> >*&&)+0x1d) [0x7f465e8adfcd] [bt] (5) /work/mxnet/python/mxnet/../../lib/libmxnet.so(mxnet::imperative::SetShapeType(mxnet::Context const&, nnvm::NodeAttrs const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&, mxnet::DispatchMode*)+0x22d5) [0x7f4661792ba5] [bt] (6) /work/mxnet/python/mxnet/../../lib/libmxnet.so(mxnet::Imperative::Invoke(mxnet::Context const&, nnvm::NodeAttrs const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&)+0x110) [0x7f466179e1b0] [bt] (7) /work/mxnet/python/mxnet/../../lib/libmxnet.so(MXImperativeInvokeImpl(void*, int, void**, int*, void***, int, char const**, char const**)+0x1c9) [0x7f466228acf9] [bt] (8) /work/mxnet/python/mxnet/../../lib/libmxnet.so(MXImperativeInvokeEx+0x8f) [0x7f466228b1ff] ```
---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
