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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/02/14 23:51:53 UTC
[GitHub] vandanavk commented on issue #7853: ndarray.choose_element_0index
not differentiable / bug in gradients after slicing?
vandanavk commented on issue #7853: ndarray.choose_element_0index not differentiable / bug in gradients after slicing?
URL: https://github.com/apache/incubator-mxnet/issues/7853#issuecomment-463850347
Error on MXNet v1.5 (built from source). Tested on OSX
```
---------------------------------------------------------------------------
MXNetError Traceback (most recent call last)
<ipython-input-13-b04ee09a6160> in <module>()
12 element = nd.choose_element_0index(w.data(), nd.array([0]))
13 y = nd.square(element)
---> 14 y.backward()
~/Documents/mxnet/incubator-mxnet/python/mxnet/ndarray/ndarray.py in backward(self, out_grad, retain_graph, train_mode)
2213 ctypes.c_int(train_mode),
2214 ctypes.c_void_p(0),
-> 2215 ctypes.c_void_p(0)))
2216
2217 def tostype(self, stype):
~/Documents/mxnet/incubator-mxnet/python/mxnet/base.py in check_call(ret)
250 """
251 if ret != 0:
--> 252 raise MXNetError(py_str(_LIB.MXGetLastError()))
253
254
MXNetError: [15:24:46] src/pass/gradient.cc:192: Operator choose_element_0index is non-differentiable because it didn't register FGradient attribute.
Stack trace returned 10 entries:
[bt] (0) 0 libmxnet.so 0x000000011232dbd6 dmlc::StackTrace() + 1238
[bt] (1) 1 libmxnet.so 0x000000011232d5c5 dmlc::LogMessageFatal::~LogMessageFatal() + 53
[bt] (2) 2 libmxnet.so 0x00000001162009ea nnvm::pass::(anonymous namespace)::Gradient(nnvm::Graph) + 13066
[bt] (3) 3 libmxnet.so 0x00000001156de032 nnvm::Graph std::__1::__invoke_void_return_wrapper<nnvm::Graph>::__call<nnvm::Graph (*&)(nnvm::Graph), nnvm::Graph>(nnvm::Graph (*&&&)(nnvm::Graph), nnvm::Graph&&) + 162
[bt] (4) 4 libmxnet.so 0x00000001156dded0 std::__1::__function::__func<nnvm::Graph (*)(nnvm::Graph), std::__1::allocator<nnvm::Graph (*)(nnvm::Graph)>, nnvm::Graph (nnvm::Graph)>::operator()(nnvm::Graph&&) + 64
[bt] (5) 5 libmxnet.so 0x00000001161e5e18 nnvm::ApplyPasses(nnvm::Graph, std::__1::vector<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >, std::__1::allocator<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > > > const&) + 1448
[bt] (6) 6 libmxnet.so 0x000000011512548e nnvm::ApplyPass(nnvm::Graph, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > const&) + 590
[bt] (7) 7 libmxnet.so 0x00000001152376fc nnvm::pass::Gradient(nnvm::Graph, std::__1::vector<nnvm::NodeEntry, std::__1::allocator<nnvm::NodeEntry> >, std::__1::vector<nnvm::NodeEntry, std::__1::allocator<nnvm::NodeEntry> >, std::__1::vector<nnvm::NodeEntry, std::__1::allocator<nnvm::NodeEntry> >, std::__1::function<nnvm::NodeEntry (std::__1::vector<nnvm::NodeEntry, std::__1::allocator<nnvm::NodeEntry> >&&)>, std::__1::function<int (nnvm::Node const&)>, std::__1::function<nnvm::NodeEntry (nnvm::NodeEntry const&, nnvm::NodeEntry const&)>, std::__1::vector<nnvm::Op const*, std::__1::allocator<nnvm::Op const*> >, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >) + 8764
[bt] (8) 8 libmxnet.so 0x000000011537a8c5 mxnet::Imperative::Backward(std::__1::vector<mxnet::NDArray*, std::__1::allocator<mxnet::NDArray*> > const&, std::__1::vector<mxnet::NDArray*, std::__1::allocator<mxnet::NDArray*> > const&, std::__1::vector<mxnet::NDArray*, std::__1::allocator<mxnet::NDArray*> > const&, bool, bool, bool) + 13445
[bt] (9) 9 libmxnet.so 0x00000001150d434d MXAutogradBackwardEx + 3293
```
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