TobiasSkovgaardJepsen edited a comment on issue #10220: Check failed: !ndinputs.back()->is_none() URL: https://github.com/apache/incubator-mxnet/issues/10220#issuecomment-454733804 I appear to have encountered this error as well. In my case the error initially failed silently because I am adding two losses, but it turns out only one of them is used during backpropagation. Using just the other loss I get: ``` MXNetError: [11:35:53] src/imperative/imperative_utils.cc:58: Check failed: !ndinputs.back()->is_none() node_588342 0 Stack trace returned 7 entries: [bt] (0) 0 libmxnet.so 0x0000000123133b90 libmxnet.so + 15248 [bt] (1) 1 libmxnet.so 0x000000012313393f libmxnet.so + 14655 [bt] (2) 2 libmxnet.so 0x000000012468ee74 MXNDListFree + 587044 [bt] (3) 3 libmxnet.so 0x00000001246848e3 MXNDListFree + 544659 [bt] (4) 4 libmxnet.so 0x00000001245d8f2e MXAutogradBackwardEx + 1022 [bt] (5) 5 _ctypes.cpython-36m-darwin.so 0x000000010fdbf427 ffi_call_unix64 + 79 [bt] (6) 6 ??? 0x00007ffee1aeb630 0x0 + 140732684744240 ``` As @lightingghost, I could fix this by using a custom Dense layer that uses `F.dot` in `hybrid_forward`.
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