pytorch/modules/detectron
Mo Zhou 69e2f1aaff [cmake] add HAVE_SOVERSION option (default=OFF). (#37502)
Summary:
This is useful for linux distributions when the ABI/API of libtorch has
been changed. The default SOVERSION is set to
"${TORCH_VERSION_MAJOR}.${TORCH_VERSION_MINOR}".

ezyang

But if the release strategy of pytorch/caffe2 involves avoiding breaking API/ABI changes to libtorch for minor/patch releases, then we can set `TORCH_SOVERSION` to simply `TORCH_VERSION_MAJOR`. Please confirm that.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/37502

Differential Revision: D21303565

Pulled By: ezyang

fbshipit-source-id: 798f5ec7fc5f0431ff1a7f9e8e5d3a0d3b25bb22
2020-04-30 06:52:33 -07:00
..
CMakeLists.txt
group_spatial_softmax_op.cc
group_spatial_softmax_op.cu
group_spatial_softmax_op.h
ps_roi_pool_op.cc
ps_roi_pool_op.cu
ps_roi_pool_op.h
roi_pool_f_op.cc
roi_pool_f_op.cu
roi_pool_f_op.h
sample_as_op.cc
sample_as_op.cu
sample_as_op.h
select_smooth_l1_loss_op.cc
select_smooth_l1_loss_op.cu
select_smooth_l1_loss_op.h
sigmoid_cross_entropy_loss_op.cc
sigmoid_cross_entropy_loss_op.cu
sigmoid_cross_entropy_loss_op.h
sigmoid_focal_loss_op.cc
sigmoid_focal_loss_op.cu
sigmoid_focal_loss_op.h
smooth_l1_loss_op.cc
smooth_l1_loss_op.cu
smooth_l1_loss_op.h
softmax_focal_loss_op.cc
softmax_focal_loss_op.cu
softmax_focal_loss_op.h
spatial_narrow_as_op.cc
spatial_narrow_as_op.cu
spatial_narrow_as_op.h
upsample_nearest_op.cc
upsample_nearest_op.cu
upsample_nearest_op.h
upsample_nearest_op_test.py