libtorch-bin: 1.10.0 -> 1.12.1

+18 -1
+1 -1
pkgs/development/libraries/science/math/libtorch/bin.nix
··· 17 17 # this derivation. However, we should ensure on version bumps 18 18 # that the CUDA toolkit for `passthru.tests` is still 19 19 # up-to-date. 20 - version = "1.10.0"; 20 + version = "1.12.1"; 21 21 device = if cudaSupport then "cuda" else "cpu"; 22 22 srcs = import ./binary-hashes.nix version; 23 23 unavailable = throw "libtorch is not available for this platform";
+17
pkgs/development/libraries/science/math/libtorch/binary-hashes.nix
··· 16 16 hash = "sha256-jPylK4j0V8SEQ8cZU+O22P7kQ28wanIB0GkBzRGyTj8="; 17 17 }; 18 18 }; 19 + "1.12.1" = { 20 + x86_64-darwin-cpu = { 21 + name = "libtorch-macos-1.12.1.zip"; 22 + url = "https://download.pytorch.org/libtorch/cpu/libtorch-macos-1.12.1.zip"; 23 + hash = "sha256-HSisxHs466c6XwvZEbkV/1kVNBzJOy3uVw9Bh497Vk8="; 24 + }; 25 + x86_64-linux-cpu = { 26 + name = "libtorch-cxx11-abi-shared-with-deps-1.12.1-cpu.zip"; 27 + url = "https://download.pytorch.org/libtorch/cpu/libtorch-cxx11-abi-shared-with-deps-1.12.1%2Bcpu.zip"; 28 + hash = "sha256-bHhC0WTli9vDJv56TaT6iA/d8im9zRkK1TlBuqkh4Wg="; 29 + }; 30 + x86_64-linux-cuda = { 31 + name = "libtorch-cxx11-abi-shared-with-deps-1.12.1-cu116.zip"; 32 + url = "https://download.pytorch.org/libtorch/cu116/libtorch-cxx11-abi-shared-with-deps-1.12.1%2Bcu116.zip"; 33 + hash = "sha256-YRcusDhrHYwIFOzt7vOuUlc11VyEUjIcBzjWEyi/874="; 34 + }; 35 + }; 19 36 }