Vikas89 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-483452493 @ThomasDelteil I tried running code on my mac , ``` import mxnet as mx from mxnet import gluon, autograd, nd for i in range(1): ctx = mx.cpu() data = mx.nd.ones((1,10,), ctx=ctx) param = mx.nd.ones((1,10,), ctx=ctx) data.attach_grad(grad_req='write') param.attach_grad(grad_req='write') with autograd.record(): z = data*param # print(z.shape()) z1, z2 = z.split(2,1) #z1, z2 = z[:,:5], z[:,5:] z1.backward(retain_graph=True) print(data.grad.asnumpy()) z2.backward(retain_graph=True) print(data.grad.asnumpy()) print() break ``` The results I get is : ``` [[1. 1. 1. 1. 1. 0. 0. 0. 0. 0.]] [[ 0.0000000e+00 2.0000000e+00 2.5715471e+36 -4.6577453e-10 1.6986417e-14 3.6433760e-44 4.8807685e+13 6.0397474e+26 4.3427447e-20 1.4012985e-45]] ``` I guess, the expected output of print(data.grad.asnumpy()) is : `[[0. 0. 0. 0. 0. 1. 1. 1. 1. 1.]] ` Can you confirm my understanding is correct ? I also verified that split_v2 is giving correct results ?
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