f9da91815cb62b0a334d0094dcd5ff53b926da953adb0445b69d9884895ff111  README.md
a1eae35a0e2be040e78d126f40f5a99ac1ce565bdad7db048f52133e4b28a1bc  environment.json
39f803d934076520fb6a6505c6463af40380d209c5e5ae5cc7ce16960bb2d979  gemm-after.log
10405f43441f13df5e83a84ec2d3811a9df76ffe790f4a3ac3dbf752b137524d  gemm-before.log
071c6881eb3740637391cf753f91d350b6b1926b40e121d0b8db8617b3086571  gemm_bench.cu
f2a4f3653ed8d43d09825276877d16e58f1cb8d71a20132b05d2ae3be2e0a857  inference-runs.csv
3c6fbf1647cf9f951be61796e15cf992565717e50e2e74a53cbc58f45695134e  inference-runs.json
83a925e662b804c40a9c1ed7e47972aca009f16804d1b049ca3a7d8a9b08bfc2  inference-summary.json
f6ec91c01c86bfa090183c2ce486f2dc50a94ce987a3fbc3d46e6656688fb24c  kernel-repeat-excerpt.log
a73ad8de5800ab2114c96761cc5a66cac13a9300c21017f820878caacca2654f  kernel-trial-excerpt.log
c532c0fd3e166fe3ca77757efd2633bb7f31247e4f547263c96d03eae375a505  mma-after.log
aaa5df3c7db27e04e87f3b3a30c688979854be957ad278c0ce48be197151ac3a  mma-before.log
1b32e840cf025d524bf7f002c12a29b331bf5c509026f5793d3503f55da76766  numeric-after.log
1b32e840cf025d524bf7f002c12a29b331bf5c509026f5793d3503f55da76766  numeric-before.log
a5d013664df90a9b49267d2811d2187503d8c20da44638c71007ed083a4bb7f2  rates.json
302bf3c8ca849c5856137038e52dc74ecb77631fd4ce82c9d36fa0ac62a7374c  rtx4090d.patch
6c8314b0ca67edfc28eb088511a20818dc8e988723ca66b5102f53a3bcf5d5a9  tensor-modes-after.log
9a5c3c9fb663f7b0d708ff89a3c0928f0af83c3ccda38b04f8a51a4d92dff916  tensor-modes-before.log
bb44ba60b50e9902a423b49d54aefc878fe2770fdb7be7a264bb4a375bc1eb43  tests.log
babb4b29128b15d48da0ac3be9cc45f9e2e45b1f999e74397c8b24c319441c5a  verify_results.py
