ChaiBapchya commented on pull request #18206:
URL: https://github.com/apache/incubator-mxnet/pull/18206#issuecomment-623579507


   `test_quantization_mkldnn.test_quantized_conv` failed with
   ```
   [2020-05-04T03:07:42.847Z] 
----------------------------------------------------------------------
   
   [2020-05-04T03:07:42.847Z] Traceback (most recent call last):
   
   [2020-05-04T03:07:42.847Z]   File 
"/usr/local/lib/python3.5/dist-packages/nose/case.py", line 198, in runTest
   
   [2020-05-04T03:07:42.847Z]     self.test(*self.arg)
   
   [2020-05-04T03:07:42.847Z]   File 
"/usr/local/lib/python3.5/dist-packages/nose/util.py", line 620, in newfunc
   
   [2020-05-04T03:07:42.847Z]     return func(*arg, **kw)
   
   [2020-05-04T03:07:42.847Z]   File 
"/work/mxnet/tests/python/mkl/../unittest/common.py", line 177, in test_new
   
   [2020-05-04T03:07:42.847Z]     orig_test(*args, **kwargs)
   
   [2020-05-04T03:07:42.847Z]   File 
"/work/mxnet/tests/python/mkl/../quantization/test_quantization.py", line 283, 
in test_quantized_conv
   
   [2020-05-04T03:07:42.847Z]     check_quantized_conv((1, 3, 4, 28, 28), (1, 
3, 3), 128, (1, 1, 1), (1, 1, 1), (2, 2, 2), False, qdtype)
   
   [2020-05-04T03:07:42.847Z]   File 
"/work/mxnet/tests/python/mkl/../quantization/test_quantization.py", line 217, 
in check_quantized_conv
   
   [2020-05-04T03:07:42.847Z]     arg_shapes, _, _ = 
conv.infer_shape(data=data_shape)
   
   [2020-05-04T03:07:42.847Z]   File 
"/work/mxnet/python/mxnet/symbol/symbol.py", line 1103, in infer_shape
   
   [2020-05-04T03:07:42.847Z]     res = self._infer_shape_impl(False, *args, 
**kwargs)
   
   [2020-05-04T03:07:42.847Z]   File 
"/work/mxnet/python/mxnet/symbol/symbol.py", line 1267, in _infer_shape_impl
   
   [2020-05-04T03:07:42.847Z]     ctypes.byref(complete)))
   
   [2020-05-04T03:07:42.847Z]   File "/work/mxnet/python/mxnet/base.py", line 
255, in check_call
   
   [2020-05-04T03:07:42.847Z]     raise 
MXNetError(py_str(_LIB.MXGetLastError()))
   
   [2020-05-04T03:07:42.847Z] mxnet.base.MXNetError: Error in operator conv: 
[03:07:30] src/operator/nn/convolution.cc:242: Check failed: 
param_.dilate.Size() == 1U (8 vs. 1) : Dilate is not supported in 3d convolution
   ```
   
   Cherrypicked #17491 which removed the conv3d dilate restriction.
   That should resolve unix-cpu pipeline errors.


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