[GitHub] feevos commented on issue #9138: I cannot make mxnet.ndarray.UpSampling work with bilinear interpolation

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

feevos commented on issue #9138: I cannot make mxnet.ndarray.UpSampling work with bilinear interpolation
URL: https://github.com/apache/incubator-mxnet/issues/9138#issuecomment-352970466
 
 
   @chowkamlee81  Thank you very much for your answer. I tried this with ndarray instead (the operator UpSampling exists for both ndarray and Symbol) and it doesn't work: 
   
   ```Python
   xx = nd.random_normal(shape=[2,16,256,256],ctx=mx.cpu())
   temp = nd.UpSampling(xx, num_filter=1, scale=2, sample_type='bilinear', num_args=2,name="upsampling1")
   ```
   
   ## Error message: 
   
   ```Python
   MXNetError                                Traceback (most recent call last)
   <ipython-input-6-b234addee343> in <module>()
         1 xx = nd.random_normal(shape=[2,16,256,256],ctx=mx.cpu())
   ----> 2 temp = nd.UpSampling(xx, num_filter=1, scale=2, sample_type='bilinear', num_args=2,name="upsampling1")
   
   /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: [13:39:11] 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) [0x7fde399d6a1c]
   [bt] (1) /home/dia021/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x240538f) [0x7fde3bb5238f]
   [bt] (2) /home/dia021/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x24029a2) [0x7fde3bb4f9a2]
   [bt] (3) /home/dia021/anaconda2/lib/python2.7/site-packages/mxnet/libmxnet.so(MXImperativeInvokeEx+0x63) [0x7fde3bb4ffb3]
   [bt] (4) /home/dia021/anaconda2/lib/python2.7/lib-dynload/_ctypes.so(ffi_call_unix64+0x4c) [0x7fde7725657c]
   [bt] (5) /home/dia021/anaconda2/lib/python2.7/lib-dynload/_ctypes.so(ffi_call+0x1f5) [0x7fde77255cd5]
   [bt] (6) /home/dia021/anaconda2/lib/python2.7/lib-dynload/_ctypes.so(_ctypes_callproc+0x3e6) [0x7fde7724d376]
   [bt] (7) /home/dia021/anaconda2/lib/python2.7/lib-dynload/_ctypes.so(+0x9db3) [0x7fde77244db3]
   [bt] (8) /home/dia021/anaconda2/bin/../lib/libpython2.7.so.1.0(PyObject_Call+0x53) [0x7fde7c2d6e93]
   [bt] (9) /home/dia021/anaconda2/bin/../lib/libpython2.7.so.1.0(PyEval_EvalFrameEx+0x715d) [0x7fde7c38980d]
   ```
   
   it seems it expects a different kind of input (also weights of some sort? and if yes, what dimensionality?)
   
   from here: 
   
   ```Python
   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.
   ```
   
   I do not understand how to solve this. 

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