[GitHub] feevos opened a new issue #9138: I cannot make mxnet.ndarray.UpSampling work with bilinear interpolation

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

feevos opened a new issue #9138: I cannot make mxnet.ndarray.UpSampling work with bilinear interpolation
URL: https://github.com/apache/incubator-mxnet/issues/9138
 
 
   ## Description
   Dear all, when I run UpSampling (python) with nearest interpolation, everything goes normal: 
   ```Python
   nfilters = 16
   xx = nd.random_normal(shape=[2,nfilters,64,64],ctx=mx.cpu())
   print xx.asnumpy().shape
   temp = nd.UpSampling(xx,scale=2,sample_type='nearest')
   print temp.asnumpy().shape
   ```
   
   when I try to perform sample_type = 'bilinear' I get errors: 
   ```Python
   nfilters = 16
   xx = nd.random_normal(shape=[2,nfilters,64,64],ctx=mx.cpu())
   print xx.asnumpy().shape
   temp = nd.UpSampling(xx,scale=2,sample_type='bilinear')
   print temp.asnumpy().shape
   ```
   any pointers/ideas on what I am doing wrong? I need it to work correctly for both ndarray and mx.sym (but I assume should be the same for both). 
   
   Thank you
   
   
   ## Error Message:
   ```Python
   ---------------------------------------------------------------------------
   MXNetError                                Traceback (most recent call last)
   <ipython-input-57-7b8d60ea54bb> in <module>()
         3 xx = nd.random_normal(shape=[2,nfilters,64,64],ctx=mx.cpu())
         4 print xx.asnumpy().shape
   ----> 5 temp = mx.nd.UpSampling(xx,scale=2,sample_type='bilinear')
         6 print temp.asnumpy().shape
   
   /home/dia021/anaconda2/lib/python2.7/site-packages/mxnet/ndarray/register.pyc in UpSampling(*data, **kwargs)
   
   /home/dia021/anaconda2/lib/python2.7/site-packages/mxnet/_ctypes/ndarray.pyc in _imperative_invoke(handle, ndargs, keys, vals, out)
        90         c_str_array(keys),
        91         c_str_array([str(s) for s in vals]),
   ---> 92         ctypes.byref(out_stypes)))
        93 
        94     if original_output is not None:
   
   /home/dia021/anaconda2/lib/python2.7/site-packages/mxnet/base.pyc in check_call(ret)
       144     """
       145     if ret != 0:
   --> 146         raise MXNetError(py_str(_LIB.MXGetLastError()))
       147 
       148 
   
   MXNetError: [17:20:11] src/c_api/../imperative/imperative_utils.h:303: Check failed: num_inputs == infered_num_inputs (1 vs. 2) Operator UpSampling expects 2 inputs, but got 1 instead.
   
   Stack trace returned 10 entries:
   [bt] (0) /home/dia021/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x289a1c) [0x7fe0ed9d6a1c]
   [bt] (1) /home/dia021/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x240538f) [0x7fe0efb5238f]
   [bt] (2) /home/dia021/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x24029a2) [0x7fe0efb4f9a2]
   [bt] (3) /home/dia021/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(MXImperativeInvokeEx+0x63) [0x7fe0efb4ffb3]
   [bt] (4) /home/dia021/anaconda2/lib/python2.7/lib-dynload/_ctypes.so(ffi_call_unix64+0x4c) [0x7fe12e6dd57c]
   [bt] (5) /home/dia021/anaconda2/lib/python2.7/lib-dynload/_ctypes.so(ffi_call+0x1f5) [0x7fe12e6dccd5]
   [bt] (6) /home/dia021/anaconda2/lib/python2.7/lib-dynload/_ctypes.so(_ctypes_callproc+0x3e6) [0x7fe12e6d4376]
   [bt] (7) /home/dia021/anaconda2/lib/python2.7/lib-dynload/_ctypes.so(+0x9db3) [0x7fe12e6cbdb3]
   [bt] (8) /home/dia021/anaconda2/bin/../lib/libpython2.7.so.1.0(PyObject_Call+0x53) [0x7fe13375de93]
   [bt] (9) /home/dia021/anaconda2/bin/../lib/libpython2.7.so.1.0(PyEval_EvalFrameEx+0x715d) [0x7fe13381080d]
   
   ```
   
   

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services