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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/03/24 02:26:07 UTC
[GitHub] lightingghost commented on issue #10220: Check failed: !ndinputs.back()->is_none()
lightingghost commented on issue #10220: Check failed: !ndinputs.back()->is_none()
URL: https://github.com/apache/incubator-mxnet/issues/10220#issuecomment-375840105
Here is a minimum sample to reproduce the error
```python
import mxnet as nd
from mxnet import nd, sym, autograd
from mxnet import gluon as g
inp = nd.ones((20, 10))
class Test(g.nn.HybridBlock):
def __init__(self):
super(Test, self).__init__()
self.fc1 = g.nn.Dense(100)
self.fc2 = g.nn.Dense(20)
def hybrid_forward(self, F, x):
A = self.fc1(x)
X = self.fc2(x)
A = A.reshape((-1, 10, 10))
X = X.reshape((-1, 10, 2))
return A, X
test = Test()
#test.hybridize()
test.initialize()
with autograd.record():
A, X = test(inp)
A = 0.5 <= A
X = 0.5 <= X
s = nd.batch_dot(A, X)
l = s.sum()
l.backward()
```
As stated earlier, calling `hybridize()` will make the error disappear.
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