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* 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> |
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aliases.nix | ||
all-packages.nix | ||
beam-packages.nix | ||
coq-packages.nix | ||
darwin-packages.nix | ||
default.nix | ||
dotnet-packages.nix | ||
emacs-packages.nix | ||
emscripten-packages.nix | ||
haskell-packages.nix | ||
haxe-packages.nix | ||
impure.nix | ||
java-packages.nix | ||
lua-packages.nix | ||
make-tarball.nix | ||
metrics.nix | ||
ocaml-packages.nix | ||
perl-packages.nix | ||
php-packages.nix | ||
pure-packages.nix | ||
python-packages.nix | ||
release-cross.nix | ||
release-lib.nix | ||
release-python.nix | ||
release-small.nix | ||
release.nix | ||
splice.nix | ||
stage.nix | ||
unix-tools.nix |