netcl/__init__.py,sha256=hutb5UnhUSKfd-2fDnQgriFxdbdz62ZKKCOCv4y0xd8,702
netcl/amp.py,sha256=cXKDeXU3aA7En5T6rPy7Igfsg3zEXmvZk5BGpcapQ0c,4273
netcl/autograd/__init__.py,sha256=6kX57yNQpsNUP7lbT1lyUzI-FEbAb_dzMcXi5EvONsg,3008
netcl/autograd/compiler.py,sha256=m0V_PL77xYLdueSDtbLYVyjNza6DQp7snnXhhBuwmUo,36740
netcl/autograd/debug.py,sha256=fv92nPQ56C7eroXcbpCKaGT0kGZC5MbwZUZDhj_8pjM,236
netcl/autograd/engine.py,sha256=g6lKUiLh1xHkyiFIPL8Ml5vVotpixzWUWJm-W_t-vas,9824
netcl/autograd/graph.py,sha256=QUcyKrn_1w-rcf-I1rIvZb3-lpFxVUTZv0sCSEKXMxo,4539
netcl/autograd/ops.py,sha256=wuWtX04A2r-4qUUxkYvnUWYuQxqctEFtrq3KCjOv3Uk,104058
netcl/autograd/training_compiler.py,sha256=ouz7DB0FGKfYNMVjtckk6tcUb8X3eX37lDAZ5I9iw6Q,12687
netcl/core/__init__.py,sha256=0J_yAOzwSKruMV7EYqf2bQy9n5voPtd1h5D4ZZd6GMk,353
netcl/core/capabilities.py,sha256=7EySTnxrNWSNZq518OqKzyg3ISK7AtgK5pk2DnfSjVM,3392
netcl/core/device.py,sha256=6ceoWvvTP6Fq3DGF2bY4UZjSFAyTq5a4Zy49vl7egjI,4483
netcl/core/device_profile.py,sha256=d54N08ULSDecf4JpxTZfX-5fQMI1t0_-0M4Bg7AprTI,14471
netcl/core/kernel_selector.py,sha256=hxoBhbdKoOc6paEGRanF-rEv0RyOWhiAE38kVuph_vA,12307
netcl/core/memory.py,sha256=hQEcuiXzOeULuIrc8hCBTf6cYf43CKMwdLMw1Eo5-pI,13801
netcl/core/parameter.py,sha256=c5w2b6h6DLJGqSpK5_tVtYVjyR5pA_6bul5xiY9L5FU,3167
netcl/core/shape.py,sha256=WMNiBgsxKTeLZ7O_u6tuXLHcLVRZIX_jAeJdh8OqfWU,3453
netcl/core/tensor.py,sha256=pi2itd_sCgAIzCJrLUxi7mGDmcrQGzuWrrk-8dIdUI4,9367
netcl/core/backend/__init__.py,sha256=PhrBWnWPgQ6wgXbxZbEhav0CY3hF54a5r62RwFlMleE,636
netcl/core/backend/base.py,sha256=qzL8K2XxJeGNj1YlekUBc-LHGPo3gOwrBBbC5Wzlwl8,1520
netcl/core/backend/cpu.py,sha256=XfAdsr_rt3Blv0ScVCoM1pDfWN5w3GCNlm0182QpP8o,1629
netcl/core/backend/opencl.py,sha256=0vewyG2yv6SGCzcazNwprhPWORQ8YDV88pXDaprZ_6U,6129
netcl/core/kernels/__init__.py,sha256=g183FKUF5uCgJycpGRfoYytvaBViXtck5Pfxbb4R34I,278
netcl/core/kernels/primitives.py,sha256=rq5CEZLGpNh_64Pn2cxsxUxU_ptYmFeMvqQIEBOHEMw,5334
netcl/data/augment.py,sha256=b8Fml8sjwptT4YmYgRj8ZSR-hN80XaO-eyQN-Jx2aqM,1338
netcl/data/augment_gpu.py,sha256=wd9j2a47Z1SaXJ3lHpxgHJc12N3fmwGbapuFIURHwBY,5233
netcl/data/dataloader.py,sha256=mtGg8CXeQytG6fmN-yWh8FFlEw7Kc32F4iNQciNccsw,15069
netcl/data/filters.py,sha256=IHFi7hSWxKuJfVkq46VbP6vx8ajDG10fKy8pyKGyCkA,2902
netcl/distributed/__init__.py,sha256=7AlMk_116kXEVTO91SjFZYGTnv304ZUwjhV_M3hNBdU,535
netcl/distributed/collectives.py,sha256=oy9xM2y47XAWIKaLJFu77IpQkwKny79-lSNbDVg1NZo,4230
netcl/distributed/data_parallel.py,sha256=ZmNPB5jqCLkU0VxiccXhxnpnm7X2aXmvrZkSZHNG_7U,1751
netcl/distributed/device_manager.py,sha256=lvS2igDowimv0BdgibnOIgAGlD0AY9kHyi5STEct0LE,888
netcl/distributed/trainer.py,sha256=tlTMOiqbXPTg3ANDOacnAcsOPQl-m4z7q4pTq93fqSM,2166
netcl/io/__init__.py,sha256=hAaGyWWIy8_Ak_FvPyft1EBwmHcn5Em7SG6ejxhEuqA,90
netcl/io/checkpoint.py,sha256=-csTbBBZ5oUZdEQ6TEXze72Tw7uAwrwjL4fT0lBzyCQ,2410
netcl/io/serialization.py,sha256=D9TlmUz3TIwnsWTEgojksSk9WRPcA9JPat-728lNex4,3930
netcl/nn/__init__.py,sha256=Xt73gPKpTnnn2zjIdU1uHwH7Lo4jozH5ioF1mJ37tNs,2008
netcl/nn/batchnorm.py,sha256=_v3RJBY8veUF0B3tTi7ui6v5JXUHkiZoTSeTVV_au-U,25242
netcl/nn/decorators.py,sha256=degDype3MJ_RE_ehMEf8UkwpNq8xpunhPCYcc2NdZKI,1571
netcl/nn/factory.py,sha256=0EHyEM9UfBnADNmXYpSHkjtmDWtu4Vr6UIMmITnGsRU,12382
netcl/nn/functional.py,sha256=ePrYBJftltvNGOCCr9QshKO1bAeqf0wNz87qp6cFO8k,1815
netcl/nn/groupnorm.py,sha256=gRwd_TNro7FvIEK_qCnf8cGJ93UczUcpx65cnumb00Q,2145
netcl/nn/init.py,sha256=SSCZoin3kDxNEUirtkP_w0VAg9zGq1vBa9KMDwAskrY,2029
netcl/nn/layernorm.py,sha256=7GDntsIcbtv5Xx0pg-Zer9kGbmMWOG_NwKTcrGC0_AI,1730
netcl/nn/layers.py,sha256=OMTPgkl7OgmXmTT6dUgaJfgbqS-yzG-JS7D3wSfEHT4,34783
netcl/nn/loss.py,sha256=gMMjYBcABxCaEfbQzxRbTzwq7_59cNMTEu6gP0a48jQ,2005
netcl/nn/modules.py,sha256=72Cq2nEPOHAiKzVnh6T9yc6PAT13OhoQ5nqCJEOP4fw,3456
netcl/nn/padding.py,sha256=tyEjB1XwiXXEn8lf2BcNN45hx9SXyRlRbcVzZCK3O-A,7467
netcl/nn/pooling.py,sha256=QeWOOYfGZImxbkOnATFAPJrTRRVmyclYHXWVEJXqHfA,20136
netcl/nn/residual.py,sha256=lhYyfKQqKQm4tXCP-kNrXg62znKNy9G9CrC3Z6lT7fY,866
netcl/nn/resnet.py,sha256=v8rAaveUiyW6Ga6utFFsprsQQcodLjFnMsmOOJnNf3o,8412
netcl/nn/simple.py,sha256=ZGyFHg30KBqxJ7wiiwqiJ2N8kWFD5N0mJ6oiO4_XLA4,1386
netcl/ops/__init__.py,sha256=D31oMTV1wwrMYTA2Oi2Qg0hUamlc5zkBiJ3AHYK7wV4,1371
netcl/ops/bmm.py,sha256=5PqoSArcCn6rf2U654Se7J-hic92x_NZuEjeeEUe7iw,5705
netcl/ops/broadcast.py,sha256=WIuQMSg5Ipv8lLdGBl9hEQ5Akcxk_R6Raksq6w9bj5w,5255
netcl/ops/conv2d.py,sha256=8Gmd6TG0_XHmbKkam2hi29dPDNFnk2VUOAUvqrFzKQs,66025
netcl/ops/conv2d_cpu.py,sha256=fBecTcTOildNxb3QDcGBKvRKC82rwqgEArlOqBdSHUk,9222
netcl/ops/conv2d_optimized.py,sha256=hhOO5rWw-tInr8yxFcMdPjgKVeYfuBTW7Qz8UMshNXw,39962
netcl/ops/conv2d_planner.py,sha256=tfZ193YTimDrZC7bwtZNHLFk_6smD638ZN8P18u20lg,43842
netcl/ops/conv_transpose2d.py,sha256=f3xzHGG7jNHCdmYHbq8OW8bQvFFAjgZAiRedbvRQ32c,7116
netcl/ops/depthwise_conv2d.py,sha256=7VZ20GfnvUwdSyYoZALTZy_yJi1mBgUpk2fXrWAUQUU,9798
netcl/ops/elementwise.py,sha256=GBK5ta6N1Bi0ZvtYK1dCPa8ojW8za8kaS1uFL6Idh-Y,38813
netcl/ops/elementwise_optimized.py,sha256=w8J4Ygxx3qjBLkMY0wtn5PqfJc1tNl-JAiIKkFw53UY,11812
netcl/ops/fused_ops.py,sha256=FdVfh6RWk5c6zhoCV-pDtS871ETvg1NQWXvMKAdD48s,13124
netcl/ops/im2col.py,sha256=1XGvR1ATSLN8x6i_KRSgqvHOv275AZ5zDg062SOU-hE,8229
netcl/ops/jit_fusion.py,sha256=0ui1kiPuXh0WIK7J39bqp99D3Mdg1T3hFzreawS_DqQ,12542
netcl/ops/matmul.py,sha256=HPFxLZqouig1fVcn9hp1fiVXf9zineJnycSzoSAYebQ,19704
netcl/ops/matmul_optimized.py,sha256=YpZm9UuGpdwE4P4QZr-Yi7qvRGTQAu2w0xRkrl8_nUI,34460
netcl/ops/permute.py,sha256=Vb7ifrBrxh_MyoW1x25qUcE_spXLAefpCy5dYBN0qzQ,4756
netcl/ops/reduction.py,sha256=nARlqOiQ5x8AAaSZYC29R--WVis1Ri4BYNvzDlRw5Ps,7870
netcl/ops/softmax.py,sha256=kzQLyaZyEDgYm4uwFhc4zbpri_UUjEXKs4oPrtU5W9U,4763
netcl/ops/softmax_fp16.py,sha256=fanR_a1rUPtEDXaXPjP0L5G4RfBb3ATAbgOEuk2mEng,852
netcl/ops/softmax_fused.py,sha256=WlCRjfxcJg9MNN6hBxV0_W6XEx0LXrhkUAhjSsvX910,4891
netcl/ops/transpose.py,sha256=Agc1MaLjuRQZuPOaFjpbKx-Oig7sQOMI-FS02Xt9RGY,2908
netcl/ops/winograd_fused.py,sha256=-KEbc0s1C3Lj7sp7NLHYdZEfolfBhQNDZzXnd6S3RxY,8420
netcl/optim/__init__.py,sha256=aJiHYJPUq4qdq48EL0R55Ij-ABFXN7bcwRYwBa9Miks,512
netcl/optim/_utils.py,sha256=LSpOGKpaQMZGcpQix0KibFc6vrW7a2hqR6ceW3XWomQ,264
netcl/optim/adam.py,sha256=9MFCAYBtbcAw-R51fWHmdCM_VvQ0WJ6W_fZ4i10G_Io,6887
netcl/optim/adamw.py,sha256=ViTOSiqBY-q54OfR0PgxrfSMjl0C-NksRCOvgect1cE,13753
netcl/optim/amp.py,sha256=WCPaO3LtdUeUa9Dlf3XlhmTQNRkL35BbjM1RTIdpdyE,1626
netcl/optim/clip.py,sha256=WZH3RZSAv_xOKyrhu-aTtuIjVcVMDZM7iK1c3wT_i5I,3494
netcl/optim/lr_plateau.py,sha256=Br_J5NPKIFl7E39KQUbJaoPPr9sW_5LF0tpyzsOLG_4,2653
netcl/optim/lr_scheduler.py,sha256=6KN4UgxNHoiiFMbwNpdFUJpC_aTX2Qlc-ILobCKRHUI,614
netcl/optim/momentum.py,sha256=NEiwmJ6wMYCxXeCEjLRFdzD0neNT3VT40b6wBbsVYsw,1553
netcl/optim/rmsprop.py,sha256=U_W8RSaNoBpWGveUzRuJ1sKvQ9bWaDl92brmrFfkeIA,2533
netcl/optim/sgd.py,sha256=lFkRQXlmcFPNw_paGQKQRzWZ5pH4CeDDc2Tktq5kDdU,5655
netcl/profiling/__init__.py,sha256=wWL1Gnw7h4_4Hm_EXiiLGSm0SEq9HKgqlOeAqwWtsZg,128
netcl/profiling/autotuner.py,sha256=fh-EX6H-Hfyn5yXe59ET9E7h0qsTGAHET0yLIpv9XNc,16175
netcl/profiling/timing.py,sha256=qta72i2bZO_a_FEOzitQA-x6e5kF37DsIURGRqglxJg,832
netcl/runtime/__init__.py,sha256=58_2OaGL8yM42mEJvAMjJRtvlqgE1b4eNx7s7x8kTow,282
netcl/runtime/cache.py,sha256=kDZCKBNVHhCL3fTIkTLFVQhqBP5axiR3rdVCMALqfk8,2298
netcl/runtime/capture.py,sha256=7Bt6MopBlQe6lIYrUc7ckfrt0LEJxzvZo7OJj2uGcaA,7368
netcl/runtime/graph.py,sha256=d9wE51RG9nzEXhZJi4k7MN2YIZl_KVe-H1yVqCMvMNA,4632
netcl/runtime/graph_fusion.py,sha256=o-lQnjSFxfXFdoCzfIkkm8642q9lO7h-cqXeBuvUguw,13309
netcl/runtime/perf.py,sha256=x1kCLStHxnJ873wlZGNL4g9raBwJsTJ8ZZDTXY526oY,868
netcl/runtime/scheduler.py,sha256=2acsqGQijxC2pjs_3UuSvPA4pDv36TThxmhpKBZmt2U,1422
netcl/trainer/__init__.py,sha256=1A2Mhi9BNuCoWR_I-G--wOp32n_yPdUATg9eZ2iDwVU,52
netcl/trainer/trainer.py,sha256=N4mZiZf9sdTQoIoU8ymzwGMqM6TubYTtDK_2XYNch0M,11021
netcl/utils/__init__.py,sha256=TXYZH_UBMztg0xgyu21FvpCD8LKdDAnC_4c3UopWRG0,110
netcl/utils/data.py,sha256=lRGqQ0-iC-P3nKCH7brgqf_r2SVK6ujQgEi08HymVoA,1002
netcl/utils/progress.py,sha256=SBuS_NLZvZ5z7YVPlU2MSbqjkkL38Jg4bGn28bO2tds,1970
netcl-0.1.6.dist-info/METADATA,sha256=SK4rbczDne_G8VSzlfMJLPDq-R7nkydIWWDOpU9Q_qY,5228
netcl-0.1.6.dist-info/WHEEL,sha256=beeZ86-EfXScwlR_HKu4SllMC9wUEj_8Z_4FJ3egI2w,91
netcl-0.1.6.dist-info/top_level.txt,sha256=0WJelqZUD6HkEY3LQRu_il3UuoLbDzO5DiHSn9y0DnM,6
netcl-0.1.6.dist-info/RECORD,,
