Crunchy9 edited a comment on issue #15420: [R] MKL-DNN support: "Unknown exception" in mx.nd.internal.as.array URL: https://github.com/apache/incubator-mxnet/issues/15420#issuecomment-507500789 This will be hard, but... `traceback()` > 9: stop(list(message = "Unknown exception", call = mx.nd.internal.as.array(nd), > cppstack = list(file = "", line = -1L, stack = "C++ stack not available on this system"))) > 8: .External(list(name = "InternalFunction_invoke", address = <pointer: 0x0000000006998270>, > dll = list(name = "Rcpp", path = ".../R/win-library/3.6/Rcpp/libs/x64/Rcpp.dll", > dynamicLookup = TRUE, handle = <pointer: 0x000000006abc0000>, > info = <pointer: 0x0000000006961060>), numParameters = -1L), > <pointer: 0x000000000892b990>, ...) > 7: mx.nd.internal.as.array(nd) > 6: as.array.MXNDArray(res) > 5: as.array(res) > 4: feval(label, pred) > 3: metric$update(label = labels[[i]], pred = preds[[i]], state = train.metric) > 2: mx.model.train(symbol, ctx, input.shape, output.shape, params$arg.params, > params$aux.params, begin.round, num.round, optimizer = optimizer, > train.data = X, eval.data = eval.data, metric = eval.metric, > epoch.end.callback = epoch.end.callback, batch.end.callback = batch.end.callback, > kvstore = kvstore, fixed.param = fixed.param, verbose = verbose, > metric_cpu = metric_cpu) > 1: mx.model.FeedForward.create(softmax, initializer = mx.init.Xavier(factor_type = "in", > magnitude = 2), X = dane, ctx = devices, num.round = 300, > begin.round = epoch + 1, eval.data = NULL, optimizer = mx.opt.create("sgd", > learning.rate = 0.005, momentum = 0.9, wd = 0, lr_scheduler = fs), > eval.metric = mx.metric.accuracy, batch.end.callback = mx.callback.log.speedometer(...)), epoch.end.callback = mx.callback.save.checkpoint(paste0("...", > ...), 1)) Surprisingly, examples from [tutorial](https://mxnet.incubator.apache.org/versions/master/tutorials/r/fiveMinutesNeuralNetwork.html) works fine. Problem occurs when I use `eval.metric` with ` mx.metric.accuracy` arg. If it's changed to `mx.metric.logloss` > Start training with 1 devices Error in mx.nd.internal.dispatch.Ops(.Generic, e1, e2) : [06:03:51] c:\build_mxnet\with_mkldnn\incubator-mxnet\src\operator\tensor\../elemwise_op_common.h:135: Check failed: assign(&dattr, vec.at(i)): Incompatible attr in node at 1-th input: expected [8], got [16]
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