* pytorch-0.3 with optional cuda and cudnn
* pytorch tests reenabled if compiling without cuda
* pytorch: Conditionalize cudnn dependency on cudaSupport
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
* pytorch: Compile with the same GCC version used by CUDA if cudaSupport
Fixes this error:
In file included from /nix/store/gv7w3c71jg627cpcff04yi6kwzpzjyap-cudatoolkit-9.1.85.1/include/host_config.h:50:0,
from /nix/store/gv7w3c71jg627cpcff04yi6kwzpzjyap-cudatoolkit-9.1.85.1/include/cuda_runtime.h:78,
from <command-line>:0:
/nix/store/gv7w3c71jg627cpcff04yi6kwzpzjyap-cudatoolkit-9.1.85.1/include/crt/host_config.h:121:2: error: #error -- unsupported GNU version! gcc versions later than 6 are not supported!
#error -- unsupported GNU version! gcc versions later than 6 are not supported!
^~~~~
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
* pytorch: Build with joined cudatoolkit
Similar to #30058 for TensorFlow.
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
* pytorch: 0.3.0 -> 0.3.1
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
* pytorch: Patch for “refcounted file mapping not supported” failure
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
* pytorch: Skip distributed tests
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
* pytorch: Use the stub libcuda.so from cudatoolkit for running tests
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
This hardcoded list of CFFI extension modules gets stale when PyPy adds
more, but fortunately the main translation step already builds these now
(hack_for_cffi_modules in pypy/goal/targetpypystandalone.py).
Signed-off-by: Anders Kaseorg <andersk@mit.edu>
Anders Kaseorg