FCInter opened a new issue #9693: mx.nd.array.reshape report error when reshape with special value -2 URL: https://github.com/apache/incubator-mxnet/issues/9693 ## Description I'm trying to reshape an ndarray from shape (2,3) to (1,2,3). I tried the command `a.reshape((-4,1,2,-2))` But I met with errors. ## Environment info (Required) ----------Python Info---------- ('Version :', '2.7.14') ('Compiler :', 'GCC 7.2.0') ('Build :', ('default', 'Oct 16 2017 17:29:19')) ('Arch :', ('64bit', '')) ------------Pip Info----------- ('Version :', '9.0.1') ('Directory :', '/home/users/mypath/anaconda2/lib/python2.7/site-packages/pip') ----------MXNet Info----------- /home/users/mypath/anaconda2/lib/python2.7/site-packages/urllib3/contrib/pyopenssl.py:46: DeprecationWarning: OpenSSL.rand is deprecated - you should use os.urandom instead import OpenSSL.SSL ('Version :', '1.0.0') ('Directory :', '/home/users/mypath/.local/lib/python2.7/site-packages/mxnet') ----------System Info---------- ('Platform :', 'Linux-3.10.0-693.2.2.el7.x86_64-x86_64-with-centos-7.4.1708-Core') ('system :', 'Linux') ----------Hardware Info---------- ('machine :', 'x86_64') ('processor :', 'x86_64') Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 16 On-line CPU(s) list: 0-15 Package used (Python/R/Scala/Julia): Python Installed by pip ## Error Message: Check failed: shape_.Size() >= shape.Size() (6 vs. 16) NDArray.Reshape: target shape size is larger current shape Stack trace returned 10 entries: [bt] (0) /home/users/mypath/.local/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x28965c) [0x7f3b0cc1c65c] [bt] (1) /home/users/mypath/.local/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x2604a3e) [0x7f3b0ef97a3e] [bt] (2) /home/users/mypath/.local/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x260ffd2) [0x7f3b0efa2fd2] [bt] (3) /home/users/mypath/.local/lib/python2.7/site-packages/mxnet/libmxnet.so(MXNDArrayReshape+0x8c6) [0x7f3b0ed760b6] [bt] (4) /home/users/mypath/anaconda2/lib/python2.7/lib-dynload/../../libffi.so.6(ffi_call_unix64+0x4c) [0x7f3b2784fec0] [bt] (5) /home/users/mypath/anaconda2/lib/python2.7/lib-dynload/../../libffi.so.6(ffi_call+0x22d) [0x7f3b2784f87d] [bt] (6) /home/users/mypath/anaconda2/lib/python2.7/lib-dynload/_ctypes.so(_ctypes_callproc+0x4d6) [0x7f3b27a65736] [bt] (7) /home/users/mypath/anaconda2/lib/python2.7/lib-dynload/_ctypes.so(+0x8a61) [0x7f3b27a5ba61] [bt] (8) /home/users/mypath/anaconda2/bin/../lib/libpython2.7.so.1.0(PyObject_Call+0x43) [0x7f3b2f75f773] [bt] (9) /home/users/mypath/anaconda2/bin/../lib/libpython2.7.so.1.0(PyEval_EvalFrameEx+0x190b) [0x7f3b2f7f353b] Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/users/mypath/.local/lib/python2.7/site-packages/mxnet/ndarray/ndarray.py", line 977, in reshape ctypes.byref(handle))) File "/home/users/mypath/.local/lib/python2.7/site-packages/mxnet/base.py", line 146, in check_call raise MXNetError(py_str(_LIB.MXGetLastError())) mxnet.base.MXNetError: [11:40:18] src/ndarray/ndarray.cc:73: Check failed: shape_.Size() >= shape.Size() (6 vs. 16) NDArray.Reshape: target shape size is larger current shape Stack trace returned 10 entries: [bt] (0) /home/users/mypath/.local/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x28965c) [0x7f3b0cc1c65c] [bt] (1) /home/users/mypath/.local/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x2604a3e) [0x7f3b0ef97a3e] [bt] (2) /home/users/mypath/.local/lib/python2.7/site-packages/mxnet/libmxnet.so(+0x260ffd2) [0x7f3b0efa2fd2] [bt] (3) /home/users/mypath/.local/lib/python2.7/site-packages/mxnet/libmxnet.so(MXNDArrayReshape+0x8c6) [0x7f3b0ed760b6] [bt] (4) /home/users/mypath/anaconda2/lib/python2.7/lib-dynload/../../libffi.so.6(ffi_call_unix64+0x4c) [0x7f3b2784fec0] [bt] (5) /home/users/mypath/anaconda2/lib/python2.7/lib-dynload/../../libffi.so.6(ffi_call+0x22d) [0x7f3b2784f87d] [bt] (6) /home/users/mypath/anaconda2/lib/python2.7/lib-dynload/_ctypes.so(_ctypes_callproc+0x4d6) [0x7f3b27a65736] [bt] (7) /home/users/mypath/anaconda2/lib/python2.7/lib-dynload/_ctypes.so(+0x8a61) [0x7f3b27a5ba61] [bt] (8) /home/users/mypath/anaconda2/bin/../lib/libpython2.7.so.1.0(PyObject_Call+0x43) [0x7f3b2f75f773] [bt] (9) /home/users/mypath/anaconda2/bin/../lib/libpython2.7.so.1.0(PyEval_EvalFrameEx+0x190b) [0x7f3b2f7f353b] ## Minimum reproducible example (If you are using your own code, please provide a short script that reproduces the error. Otherwise, please provide link to the existing example.) `a = mx.nd.array([[1,2,3],[4,5,6]])` `a.reshape((1,2,3)) # success` `a.reshape((-4,1,2,-2)) # fail` `a.reshape((1,2,-3)) # fail` ## Steps to reproduce (Paste the commands you ran that produced the error.) 1. Just import mxnet as mx. Then run the above mentioned code.
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