filter:pytorch: armhf error in PPA (print format)

[myungjoo]

Fix the print format string error:

In file included from /usr/include/glib-2.0/glib.h:62:0,
                 from ../gst/nnstreamer/nnstreamer_log.h:75,
                 from /<<PKGBUILDDIR>>/ext/nnstreamer/tensor_filter/tensor_filter_pytorch.cc:29:
/<<PKGBUILDDIR>>/ext/nnstreamer/tensor_filter/tensor_filter_pytorch.cc: In member function ‘int TorchCore::validateOutputTensor(at::Tensor, unsigned int)’:
/usr/include/glib-2.0/glib/gmessages.h:336:43: error: format ‘%ld’ expects argument of type ‘long int’, but argument 5 has type ‘gsize {aka unsigned int}’ [-Werror=format=]
                                __VA_ARGS__)
                                           ^
../gst/nnstreamer/nnstreamer_log.h:79:17: note: in expansion of macro ‘g_critical’
 #define ml_loge g_critical
                 ^~~~~~~~~~
/<<PKGBUILDDIR>>/ext/nnstreamer/tensor_filter/tensor_filter_pytorch.cc:348:5: note: in expansion of macro ‘ml_loge’
     ml_loge ("Invalid output meta: different element size at index %d. Found size %ld while expecting size %ld. Update the tensor shape/size to resolve the error.",
     ^~~~~~~
/usr/include/glib-2.0/glib/gmessages.h:336:43: error: format ‘%ld’ expects argument of type ‘long int’, but argument 6 has type ‘gsize {aka unsigned int}’ [-Werror=format=]
                                __VA_ARGS__)
                                           ^
../gst/nnstreamer/nnstreamer_log.h:79:17: note: in expansion of macro ‘g_critical’
 #define ml_loge g_critical
                 ^~~~~~~~~~
/<<PKGBUILDDIR>>/ext/nnstreamer/tensor_filter/tensor_filter_pytorch.cc:348:5: note: in expansion of macro ‘ml_loge’
     ml_loge ("Invalid output meta: different element size at index %d. Found size %ld while expecting size %ld. Update the tensor shape/size to resolve the error.",
     ^~~~~~~

Related with #3698

Signed-off-by: MyungJoo Ham myungjoo.ham@samsung.com

[taos-ci]

📝 TAOS-CI Version: 1.5.20200925. Thank you for submitting PR #3699. Please a submit 1commit/1PR (one commit per one PR) policy to get comments quickly from reviewers. Your PR must pass all verificiation processes of cibot before starting a review process from reviewers. If you are new member to join this project, please read manuals in documentation folder and wiki page. In order to monitor a progress status of your PR in more detail, visit http://nnstreamer.mooo.com/.

[taos-ci]

@myungjoo, 💯 All CI checkers are successfully verified. Thanks.

[again4you]

LGTM!