[GitHub] [incubator-mxnet] matteosal commented on issue #15497: [MKLDNN] Independent gradients requests check with respect to weights and bias of convolution

[GitBox <gi...@apache.org>]

matteosal commented on issue #15497: [MKLDNN] Independent gradients requests check with respect to weights and bias of convolution
URL: https://github.com/apache/incubator-mxnet/pull/15497#issuecomment-510563332
 
 
   The example of https://github.com/apache/incubator-mxnet/issues/15464 is fixed here, but I see a failure with this one, where the weights gradient is requested in isolation (so the opposite of https://github.com/apache/incubator-mxnet/issues/15464 ):
   ```
   import mxnet as mx
   
   sym = mx.sym.Convolution(
   	mx.sym.Variable('in'), 
   	mx.sym.Variable('w'), 
   	mx.sym.Variable('b'),
   	kernel=(1, 1), 
   	num_filter=1
   )
   args = {
   	'in': mx.nd.ones([1, 1, 3, 3]),
   	'w': mx.nd.ones([1, 1, 1, 1]),
   	'b': mx.nd.ones([1]),
   }
   grad = {
   	'in': mx.nd.zeros([1, 1, 3, 3]),
   	'w': mx.nd.zeros([1, 1, 1, 1]),
   	'b': mx.nd.zeros([1]),
   }
   req = {'in': 'null', 'w': 'write', 'b': 'null'}
   outgrad = mx.nd.ones([1, 1, 3, 3])
   
   ex = sym.bind(mx.cpu(), args, args_grad=grad, grad_req=req)
   
   ex.forward(True);
   ex.backward(out_grads=outgrad);
   mx.ndarray.waitall()
   ```
   This is what gets printed to command line:
   ```
   Traceback (most recent call last):
     File "script2.py", line 27, in <module>
       mx.ndarray.waitall()
     File "/home/matteo/Git/mxnet/python/mxnet/ndarray/ndarray.py", line 166, in waitall
       check_call(_LIB.MXNDArrayWaitAll())
     File "/home/matteo/Git/mxnet/python/mxnet/base.py", line 253, in check_call
       raise MXNetError(py_str(_LIB.MXGetLastError()))
   mxnet.base.MXNetError: std::exception
   ```
   
   It doesn't fail on master

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