num_filters in UpSampling

According to the description linear upsampling is not supposed to depend on the number of filters. However the default value results in a segfault and setting a number not equal to the number of filters of the input produces a cryptic error:

INFO: Start training...

[14:05:57] /home/k/mxnet/dmlc-core/include/dmlc/logging.h:235: [14:05:57] /home/k/mxnet/mshadow/mshadow/./tensor_blob.h:647: Check failed: (this->shape_.Size()) == (shape.Size()) TBlob.get_with_shape: new and old shape do not match total elements


An fatal error occurred in asynchronous engine operation. If you do not know what caused this error, you can try set environment variable MXNET_ENGINE_TYPE to NaiveEngine and run with debugger (i.e. gdb). This will force all operations to be synchronous and backtrace will give you the series of calls that lead to this error. Remember to set MXNET_ENGINE_TYPE back to empty after debugging.

terminate called after throwing an instance of 'dmlc::Error'