AUX pytorch-2.10.0-cpp-extension-multilib.patch 657 BLAKE2B 0f3010d800bedc434edc204b2431f72bd902cbdaab7a0d5cb6d908ec6121027ec99fc6462817f1004f3bbf84b84423aec50fb77a552707aabc4c38f35dea0364 SHA512 5093319d408b3ede3c415c3ae73a57a74d7183b58cc482a57974ee380d584d74d171783abbc309f0b147cd7f76ba5d13a46b53719b6b9bd0b4bb5b7c0c0c7e9c
AUX pytorch-2.7.1-cpp-extension-libcxx.patch 1349 BLAKE2B 2a4a267cc18b69ff4d4f57af5c9bd8efe31d43bd14904a2359bf8ae37dba37f9090d437957324fd2ae4fb36e8bf7e0df8ce7975efd6e39b90c050e9e91b04e0c SHA512 bc9ba2100e535d4b92ab2746c09dbb103381ed5ae3d2e65f8eda8beed6b359e51ae28d8e809a01f94eb2dc71eca0e19cc084ace53207c1f08916b3d603e40ab1
AUX pytorch-2.7.1-cpp-extension-multilib.patch 1115 BLAKE2B 3612fe6aa85cd19eb6522f5c31ec2b88497b8e50449909cc2efc3d558ff4aa46940f30f47ea7be9be03a3e5320f5eb2f62ec9492c409f65cde484168830f86c7 SHA512 37c1f04d499eedf9fda433828fb83e923c7bdfa31537133fd2c292ccd6ae94ccae6932f27bfb5c4df7f2e7d61de959b181b184945b31a8205c6e07df7b09b45c
AUX pytorch-2.9.0-dontbuildagain.patch 632 BLAKE2B b9884aa11b9756d922255cb0d0b4bd75fa90fe42c85cf83cdf2fb9d27e2d31612b6ac73f7c5ce9452363bfe37041263e1abdf901ba252f2e69d370b7833c9bbd SHA512 075274bf1c6958db109cb3b25d5841f4c26362adb7a1e412795ab0064b6b358060c64aeb17b173927e0e6c2f0b4de79fc7fb8fdcb062554f97f9f733f57a748d
DIST pytorch-2.10.0.tar.gz 62555251 BLAKE2B 6b48b4d3d3802a82d37231c472032f8c9390bdbfe9e810ff811f5521737b46794db51e87f7aad3928be917923ae8ac9c619b14d8d0cfacfc115dffb38347bd43 SHA512 929b1be42954f22e2091e0696d6175c8f30752925ce0bbe3a60a9393aff1f0afb228fa5efaf1ce26e78cd9e99294d150109e9ba9cb3243c90e9ec06cc082f74d
DIST pytorch-2.9.1.tar.gz 55764697 BLAKE2B b22e154034f8a25aa3ef949eb6b0456777e11fe5f97de56c6112d93a2e154db425e97848911af458d179f03d7154956f53b715c7b9d7e7f074e0baceac35dad8 SHA512 d7098408d44e0fee9ded4afd6622df6f08757bf02eee878ae25b62a275f82eb16f96a07027c670c6ffdd431c8714c569249bd8518ac8828a504e99908b8c38b1
EBUILD pytorch-2.10.0.ebuild 1622 BLAKE2B 7255511e41727895d5966b60fa96ef4d4d37e4e1e20575b292d932e17409194339e46a66085ae41e34a67c89af18d8004e49398dad0922fa41f31d123e053f98 SHA512 e3c0ed3cce7932ac53f3e5edc4ea5b6e1df3f3d61da22b18eae1b6523aea58362dff0ddc7b66f2c0abe73e60b8a7e05077f3f1b6e069210e05a18dd50b0a78eb
EBUILD pytorch-2.9.1.ebuild 1737 BLAKE2B 4e1856c057fc83e3ee5c20c5c48ab79e3a38b4f7cfc79ae3b1e2ad6e082c55840f539350639098beb72097b7a48ef8b7b105a721dd7b02ad2ffeb04d50df6b1e SHA512 95b5282526f948047edcb72fb61f31a074b75e7c6f1cdd713e6aab340142aa7cfc207a16e890d6ec884805f94da19e53000e4238129595f48fd1801d391f6952
MISC metadata.xml 516 BLAKE2B 91217d92fb2a588197740116e4d60d2429c1e4dc21845605bcaba4f6f5c941d27024175eae9cbd3dd89deb30496fb3d56f2a771f115887548e4a81b1947837d4 SHA512 85e43fc8be4da3677d1bfadaaeb8d23a17277fa4a684e89f5d8da0279f6b2d9744716ca82d7fe5e070b163de4d153e4d0c433b2d5ef9b609b7b9b53d57e32906