ashokei opened a new issue #14301: SoftmaxOutput crashes with normalization "valid" URL: https://github.com/apache/incubator-mxnet/issues/14301 ## Description ## Environment info (Required) ubuntu 16.04 default build and, run below script. ``` import numpy as np import mxnet as mx xpu = mx.cpu() x = mx.sym.Variable('x') label = mx.sym.Variable('label') x_nd = mx.nd.array([[1, 6, 4, 2],[1, 6, 4, 2]], ctx=xpu) grad_x = mx.nd.zeros((2,4), ctx=xpu) label_nd = mx.nd.array([1,1], ctx=xpu) sym = mx.sym.SoftmaxOutput(data=x, label=label, ignore_label=0, use_ignore=True, normalization="valid") ex = sym.bind(ctx=xpu, args={'x': x_nd, 'label': label_nd}, args_grad={'x': grad_x}) ex.forward(is_train=True) softmax_out = ex.outputs[0].asnumpy() ex.backward(is_train=True) ``` MXNet commit hash: fb4f9d55382538fe688638b741830d84ae0d783 Build config: make ## Error Message: ``` terminated by signal SIGSEGV (Address boundary error) ```
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