apeforest commented on issue #14340: [bug] Bug in Gradient flow with backward(retain_graph=True) and split() URL: https://github.com/apache/incubator-mxnet/issues/14340#issuecomment-470286826 @ThomasDelteil I ran it on CPU and didn't get core dump. Here is my output: ``` [[1. 1. 1. 1. 1. 0. 0. 0. 0. 0.]] [[0. 0. 0. 0. 0. 1. 1. 1. 1. 1.]] [[1. 1. 1. 1. 1. 0. 0. 0. 0. 0.]] [[0. 0. 0. 0. 0. 1. 1. 1. 1. 1.]] [[1. 1. 1. 1. 1. 0. 0. 0. 0. 0.]] [[0. 0. 0. 0. 0. 1. 1. 1. 1. 1.]] [[1. 1. 1. 1. 1. 0. 0. 0. 0. 0.]] [[0. 0. 0. 0. 0. 1. 1. 1. 1. 1.]] ``` We also have a unit test to cover split operator with gradient: tests/python/unittest/test_infer_type.py ``` def test_split() data = mx.nd.arange(16, dtype=np.float64).reshape((4, 4)) data.attach_grad() with autograd.record(): y = mx.nd.split(data, axis=0, num_outputs=2) y[0].backward() assert data.grad.dtype == np.float64 ```
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