mlx_train_perf/__init__.py,sha256=D0sl_1bUju0Gxd1mLcsk-8dJNDEt0mW_h44y02_ZtTU,294
mlx_train_perf/_compat.py,sha256=LEpHoIkyXGGSxK1LhaiX_uKdu8dbiCZ0LPAcJcqdRBY,1078
mlx_train_perf/cli.py,sha256=_Mh9CWEK4eYeDWN0jdvmcePVqy1v9ETMdPsFL84oUF4,16825
mlx_train_perf/contribute.py,sha256=wCNBTPzZTTlAK5N_mSmdY1VZpSv2GbzDzD3TThvftpA,37178
mlx_train_perf/errors.py,sha256=isW1ZLQJ8NOJeK4kP-NPO-keWkzsKYRMI-bJd8NxI78,2695
mlx_train_perf/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
mlx_train_perf/adapters/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
mlx_train_perf/adapters/mlx_lm.py,sha256=U5pwI47BqoJSl42EqC_gOpUKzBUwjFppTTo1jA5PIkk,10024
mlx_train_perf/attention/__init__.py,sha256=UNQ2wplT6jJH-3MXu_UXoDkOxqochiAfAp-lT6o_hfk,831
mlx_train_perf/attention/api.py,sha256=D_BhGsHy_GHcepXf7ZXyiy1XSNKPER-fwbPYx71cQ8M,12444
mlx_train_perf/attention/reference.py,sha256=XQeGy59xq7G6lsKqGfavRRWYD9FlmrQCZRuvqC1Lggg,3927
mlx_train_perf/attention/wrapper.py,sha256=e_5niIY3Nzs1X1qlEGyMIXltyB1GB8qg_rd-cFSgN-c,13320
mlx_train_perf/attention/kernel/__init__.py,sha256=8_t-wNLTTWl1zgNbhZiZW5IAdmx1HbsCRTp_eXc5Vjw,692
mlx_train_perf/attention/kernel/dispatch.py,sha256=FfvzQ0-V_NjDDibhpLszzDhKPskk9577aksYdvPO2kQ,7881
mlx_train_perf/attention/kernel/launch.py,sha256=_ffKiR5v66WoNJe9Ir3KlQq3C-Dy7hrTx0CF2gqVCXs,68243
mlx_train_perf/attention/kernel/source.py,sha256=af79Ga0Qa2jQLWopfagfbmp-4QTe9LzSbYoOS6BgidA,87509
mlx_train_perf/bench/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
mlx_train_perf/bench/artifacts.py,sha256=IpxN290RbgMdjSDQFxDEqwiXFRZZSrv3egq4tQLjRAI,12389
mlx_train_perf/bench/runner.py,sha256=LVQF2jBQc_wVZxwIt-GvfuEMRtfFJEl1DaEttAMBnhw,9794
mlx_train_perf/bench/worker.py,sha256=l27O8700F0ExS6-KAaf0Trp2mjydxGY5VJ479bsa6Os,28394
mlx_train_perf/core/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
mlx_train_perf/core/chunked.py,sha256=RaB_4ddAhFfy5C9XMqJbJRTEaRXYHTLdyiIHX86Kq6k,7425
mlx_train_perf/core/guards.py,sha256=xwNvtt7-LJ66uVOzwO0d-nDA8-XNRbk0DFVNu3oR79c,22745
mlx_train_perf/core/loss.py,sha256=9LuepcC_WQJ7PVTXnKZhOF1E00GHHpSGcNu_8W901zQ,17202
mlx_train_perf/core/naive.py,sha256=Ww1NlfN57pLrKC81ykyMwlR7958WGrxkv31XzK8dR60,607
mlx_train_perf/core/kernel/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
mlx_train_perf/core/kernel/dispatch.py,sha256=Rxlc2zjSJwOlpj09klfDkkkUbT7cFsxx9fHm72LPqs4,1040
mlx_train_perf/core/kernel/launch.py,sha256=zlfIq11xzc3Mm72gHbfd-6re4Onoeo10gW5v_ikvlEs,23807
mlx_train_perf/core/kernel/source.py,sha256=-k4boVerc5FeqIqWPnFsygnR-nu7hv_j7wjQRWAjEuo,38483
mlx_train_perf/devtools/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
mlx_train_perf/devtools/regpressure.py,sha256=DleLgq-wfMrw7Z1xdsouH_6vs5kD7DJeInec1MxjuwY,14284
mlx_train_perf/plan/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
mlx_train_perf/plan/calibration.py,sha256=wMZOP2aZ3ThNamU1F-VyJMdd1DGNtqIDRFhWb2H5isU,5361
mlx_train_perf/plan/calibration_data.json,sha256=vrInWku0APRLpdWkAyoYSxJybYevQ1U_c0GT_ZWIBnc,1933
mlx_train_perf/plan/estimate.py,sha256=6Ljf0eMCrk5EdAp1c36tx8mHSfVD8z9hzXXAqDdaj4M,24795
mlx_train_perf/_bench_scripts/bench_attention_op.py,sha256=fdKxWAOWUwCHn_xR5JkPrecMD-QBbXuvQpTbJf6Gvu0,20714
mlx_train_perf/_bench_scripts/northstar_context_sweep.py,sha256=MEeHZS43qy5q9_FeVEwc239ZVssFbeSCe9PcXqsudgo,15935
mlx_train_perf-0.3.1.dist-info/METADATA,sha256=H_WiKEhjae9SV8L6uxS9evtnl598eCZ9t9s6eOIJWoU,19717
mlx_train_perf-0.3.1.dist-info/WHEEL,sha256=lCkmxWfQsSc9CfIClYeavTdQeEX2toPqufh9gI35EQA,87
mlx_train_perf-0.3.1.dist-info/entry_points.txt,sha256=gifhDquF3YpeinraLnBBPDX6HBTGFKMoY-j1yyrDHgA,59
mlx_train_perf-0.3.1.dist-info/licenses/LICENSE,sha256=nNBb2p6y9GjCzlDGy5OgN6HcFD5-L5TvAgL7iRfGDYk,1070
mlx_train_perf-0.3.1.dist-info/RECORD,,
