sparseml/__init__.py,sha256=F8VVKeTRy1P4zWbt_9IP-BOnVbuo3vFuxohmRslIPXM,1683
sparseml/base.py,sha256=oOPiaU2JhI0beFwp8Obe7hbt3kUuNvI5XD1wTBCtLnc,10284
sparseml/log.py,sha256=K5E3goPRIPY7Uc14JcX-4oLXVWu7ecOPf1NYBGHc1r0,2483
sparseml/version.py,sha256=dgX7wpa0a1SiWLTv0rt3lNlBevXeHp2vopKoLKPLTFc,1510
sparseml/benchmark/__init__.py,sha256=WynUhMzXq3-iQAhPwcmcMOj2_xCa9brLubs7gxq9T3U,758
sparseml/benchmark/info.py,sha256=yRA5QgKQNKjOZhQH9uNvVuWlqL4eXDVikA8pL5Mzha4,17631
sparseml/benchmark/serialization.py,sha256=FPpcC93x5H86Fqil9YbERUpltu7qhhIQjsyYaSlW_20,10778
sparseml/deepsparse/__init__.py,sha256=o5ITzTEOlH--61_SXMISrmPcRk4ci91FGlR-aQxwOn4,863
sparseml/deepsparse/base.py,sha256=nRjU6TSao0J2iWXcdHwj62X6dVT9vl6TQ2y4Bdn3KN0,3516
sparseml/deepsparse/framework/__init__.py,sha256=ZHrXXM3AMH78zKcF8Y40IBuy38UFy4fLrvytozw_bNY,801
sparseml/deepsparse/framework/info.py,sha256=HVDPHFXggFeDqbpM20PkByf1nBccwKnjpTWh0EfrVas,6032
sparseml/deepsparse/sparsification/__init__.py,sha256=re_2FtHWvO-iQQwRRJZDKz3l_pFZuwe266-4ZFxQqbY,813
sparseml/deepsparse/sparsification/info.py,sha256=O5FJg5KMJvj-HcJn9W9iiKGZ6Z7_1SavOX-TstXRr6Q,1348
sparseml/exporters/__init__.py,sha256=fH6rjBYAxuwrTzBTlTjTgCYNyh6TCvCqajCz4Im4YrA,617
sparseml/exporters/base_exporter.py,sha256=M1HEe9GNf51uYx1z-qxWjIYo5iGZ_Ish8uZ3mj6OZR8,1477
sparseml/exporters/onnx_to_deepsparse.py,sha256=-Xa7-XECHjggxLv9EIOXzWzbeGsGNPIurcfQbVG_2M8,4684
sparseml/exporters/transforms/__init__.py,sha256=aWe9RsizlhUcp97UIEd5kwR2BSXL6c1h_W_x821ua0Y,2170
sparseml/exporters/transforms/base_transform.py,sha256=IpvdUdEADl2SfqHawcp6-lcNgz-R3L0zpS05WaWF5h8,2333
sparseml/exporters/transforms/constants_to_initializers.py,sha256=_PX3y16OC-q85d-6DeOOVpKAAMNIU1m5BdYTZlFV_tk,1388
sparseml/exporters/transforms/conv_to_convinteger_add_cast_mul.py,sha256=9z2HRqJAM68HPiSfu2RMyrn93dr8HCTpMcMrh_1-x2w,3866
sparseml/exporters/transforms/conv_to_qlinearconv.py,sha256=CwCXtIBCOQ1qX5Z2JZhsdXSDk683wRCIBILF_1vd0GI,5838
sparseml/exporters/transforms/delete_repeated_qdq.py,sha256=YiIOrvKqrxYboOA4A8YTbQIQ4s4MDdmqeLNYHPP4kjs,2440
sparseml/exporters/transforms/delete_trivial_onnx_adds.py,sha256=St3-PQP8tPXYoyQTFn8fvJi7JF3LoX9Vb9nc-Zbx4Wg,1842
sparseml/exporters/transforms/flatten_qparams.py,sha256=u0POagPJ_sqaS-DMe2x1Fd40RdlS9nYlLFZqHdsXx4Y,2181
sparseml/exporters/transforms/fold_conv_div_bn.py,sha256=ckYdMKO2Z31NKRxQk4C4EbMWlVrsuhUDtyeMTMTErE4,3553
sparseml/exporters/transforms/fold_identity_initializers.py,sha256=Yfv46MvL_vMxNGmUYSvlbucbrWIIDnjWnifmFCzyILA,1669
sparseml/exporters/transforms/fold_relu_quants.py,sha256=qDGl-6aGmaQ8lAii3v0NvqkjbqtZB1UgHEkd3RzvjXQ,2070
sparseml/exporters/transforms/gemm_to_matmulinteger_add_cast_mul.py,sha256=r1oVnnu-U0mISkqBJrebXO1o-cmbkSMbo1X4xA0l-t4,4418
sparseml/exporters/transforms/gemm_to_qlinearmatmul.py,sha256=PxWNloG30hp-PDDoHGwwpZHmlkmL3CChxH-bZ2pIJ5c,7546
sparseml/exporters/transforms/initializers_to_uint8.py,sha256=GxveAKe1xSNBZh1hjUx61veL6LTf9Msnx663Mrhvtxg,1645
sparseml/exporters/transforms/matmul_to_matmulinteger_add_cast_mul.py,sha256=KXSelW6JzsRGXXWJIoiO8QhlGficcqCp8trPIziTnQo,4350
sparseml/exporters/transforms/matmul_to_qlinearmatmul.py,sha256=Siii4mZ3LtqWY1blD1KT7ePVJud1oyLDrcr21YosU7E,4156
sparseml/exporters/transforms/onnx_transform.py,sha256=o3jRAOag020HzYRtqQdp-CXEFReZm3yGng7tHvqWM5Q,3724
sparseml/exporters/transforms/propagate_embedding_quantization.py,sha256=XTEiUTX5nzLUtndGs_0t7nTgjIad-FyjuNc0O4f6Xro,3398
sparseml/exporters/transforms/quantize_qat_embedding.py,sha256=_v1dEEt5vCSaMF6dJkg9fVGof145-_Lmo0DMjpXsnUE,4464
sparseml/exporters/transforms/quantize_residuals.py,sha256=f3kNF930ymHI5CmCA0OmYW7vDKvEm9sYhN0UX0UC1EQ,3869
sparseml/exporters/transforms/remove_duplicate_qconv_weights.py,sha256=mod-7bnlkg20LjerZ7tKKmp_7XyO3FKo13BtIZkDsmM,3331
sparseml/exporters/transforms/remove_duplicate_quantize_ops.py,sha256=2FSXzaY3jdxOgj3xBaUOUqtk-hzg4kwhheELhoOKpS8,2545
sparseml/exporters/transforms/skip_input_quantize.py,sha256=ANiYDwSos9gPW4960fMwmGubTDgpAcqFVSIHKf_ffYw,3210
sparseml/exporters/transforms/unwrap_batchnorms.py,sha256=ly7GHCXN_2r8Gnk8PABWCqcoS-NL3GMfquEK0hRlFCs,1373
sparseml/exporters/transforms/utils/__init__.py,sha256=tXSSUnzdyIc_H73xQ5dYhHb1Gj4Nb7GLLDVwJds8c_s,730
sparseml/exporters/transforms/utils/add_quantized_conv_matmul_add_ops.py,sha256=lUutqioFTP3ZVa5IIA-Z5WbriNj_8m2mXut_QOyo_J0,8704
sparseml/exporters/transforms/utils/helpers.py,sha256=vkEYL2Bdp_YNXlPg_TGd82Q2ef1EYEr11LVgmORQDiY,6457
sparseml/exporters/transforms/utils/matching.py,sha256=h0DCUGRSy22LVTrwZEuo9XdJ662dt-SuyFCTalgjxd4,14130
sparseml/framework/__init__.py,sha256=EcIX435yx552d7BkbxmAbQ_X3KAISInHVbD9X-AT1Uk,790
sparseml/framework/info.py,sha256=TaZAMYdhBHcjl9Xyk3PWjJkDB6g3_f4vD3B6KmhgOl8,9479
sparseml/keras/__init__.py,sha256=Xzt82FZ2iOD5g7dxYJqDCFX-9w9kHcC7yxlcUZSWWvk,858
sparseml/keras/base.py,sha256=yt1EO6KIeCkdg8rF37U5Y3FNGeAqOQLVGyxRANsyBy0,8054
sparseml/keras/datasets/__init__.py,sha256=USLH-kFbXiubqgMW8IMkZfycVByQAOdAtzuPHzTok9I,943
sparseml/keras/datasets/dataset.py,sha256=W6wdx4WXtyy4r1JVbc8fO0Xt5SM03zm8Vq306uNFkaw,3297
sparseml/keras/datasets/helpers.py,sha256=PfDBKDMr3A8XG9wP0QRABu4h63eHZT15gDuO8naIXxY,2423
sparseml/keras/datasets/registry.py,sha256=41aieOOADwl0V1n127OA6zyxhCwLwHy4jo7SkyzSUwo,2761
sparseml/keras/datasets/classification/__init__.py,sha256=YGWvyTK6h32vDtAD3Vcr3bsNqGvfFXOiQy9wydvzEDc,786
sparseml/keras/datasets/classification/imagefolder.py,sha256=Ay5xsUH4zR2xgTg6HM7qXiOMs02PMMg3-_pD0tgzzgE,8369
sparseml/keras/datasets/classification/imagenet.py,sha256=HPagXs8nYfyt2n3SWMjg5i8KD3tnn5ocmicd_f2Luek,4301
sparseml/keras/datasets/classification/imagenette.py,sha256=Ya3xzdtfR-ZNqzBwNCYFh2XINH97Z8kM1J53gIm3iVo,2727
sparseml/keras/framework/__init__.py,sha256=ks_jbDdVO7I5Q7At8Ya9E0lpRniqGTljwrSOdeaT8Qs,793
sparseml/keras/framework/info.py,sha256=AkIMl0s8XKnAzxkdrYuhm3VOOKgE7fzKpmts5lr71H4,5906
sparseml/keras/models/__init__.py,sha256=HtZsaraqfCzwshCpNxJSSy9EMjg6cETnaFJR3XXFloA,921
sparseml/keras/models/registry.py,sha256=5sDWaOBhODv8B32w8UUXvV-BaapoC01u3h2PPJc_R1g,11814
sparseml/keras/models/classification/__init__.py,sha256=HTQkGw66BEUwQLbp8idpd8noAtIOOIj4qRLSQiXVqKo,656
sparseml/keras/models/classification/resnet.py,sha256=bpeqRinFoDtr9sVT8KwSDt9sAdgUPe2xQNO9UKnimnI,17932
sparseml/keras/models/external/__init__.py,sha256=9IvwXbdCFi5cfUGRmsn5IMxQNJ1jcHtvOO8kt1tAOgE,768
sparseml/keras/models/external/keras_applications.py,sha256=apVwY6mZuXyR07wiNc-Ethc42jlQYskteDvDTM-8U_I,4402
sparseml/keras/optim/__init__.py,sha256=xM6_aXmb9RD_7DsIskVfnIhDeV7bwFTmewzVSHYqe5Q,1166
sparseml/keras/optim/manager.py,sha256=QAT4-wXs6cQzArBzj7TV5Lf1Wpa2gvLxiST2cxEaaIQ,5677
sparseml/keras/optim/mask_pruning.py,sha256=HzT4doFm4RIlF1xblxVSH-Q-rwOoVXkVud9YbZffsXI,14777
sparseml/keras/optim/mask_pruning_creator.py,sha256=A2FcuOjSG8SvtgTKFnvXD_OE0Pmfrzsf2_6gZgzyLAA,19740
sparseml/keras/optim/modifier.py,sha256=HLFdvE9avdBlZ3x8fFbc4NtSc4VryYey6__W29rkWrk,9183
sparseml/keras/optim/modifier_epoch.py,sha256=SseX6L104I2Y_A_Wu4bhhHa-wVWRZpanpZEsQCHmBCE,1676
sparseml/keras/optim/modifier_lr.py,sha256=gU07CEZu1vvUwTLEvwCEhyK78hCeQYVSWoGrecnuTyw,14736
sparseml/keras/optim/modifier_params.py,sha256=4_oRD3sWeuVqPCqE9XDQG3KsiJhLZ-gPwOMIGle6V3c,5477
sparseml/keras/optim/modifier_pruning.py,sha256=dGewsUKn2cd9lG0huh3nhRnrtzsuAiUPYPxX-UELN7M,24031
sparseml/keras/optim/utils.py,sha256=rX_VdT3ZBFKezE0uAdTnhFrwtVUzS-todF16IbG9BTc,1133
sparseml/keras/sparsification/__init__.py,sha256=Q5852BD8XciD9iLXmHRu-mFJrQsJchsmkzoaUNWhxhA,808
sparseml/keras/sparsification/info.py,sha256=HVIGhKG2HHOaYxgvltQ7hjOQXbqbvT2DO3F4gBP1lbc,1356
sparseml/keras/utils/__init__.py,sha256=JkMJHbL8sCUKcDOfOGNpqexmdsnq6vdQpNUQCbVMNY8,962
sparseml/keras/utils/callbacks.py,sha256=WqycV-Wq2YEQ1uYuTmqEW-C_5Aeowt_DTB8C4oruOSk,8202
sparseml/keras/utils/compat.py,sha256=oPMoTw2NKedJTk2PhA_75YBM6Nwxg_Yx0MyUdcgbisw,1022
sparseml/keras/utils/exporter.py,sha256=mC-and9qFuOT5qVHRR3iBTvvwRpUUz_C8oR1WK078lM,5737
sparseml/keras/utils/logger.py,sha256=xsOmL5qUHvWwFhGIRlNuQLAO8DMpx_-fxvr5N3QrQt8,6087
sparseml/keras/utils/model.py,sha256=Or2Vijn7JPrE4QMTwBYX8zgmoucYRQK8y1VVDL9vJ1Q,1738
sparseml/onnx/__init__.py,sha256=Z17rCpIq-GH4_UejqYRTksEDAvz7nEj9fYtaBgxgY6k,925
sparseml/onnx/base.py,sha256=Kv3YC0Xh1xlxpIuwh9916SHuz96phaf36KbL71DSZWk,6202
sparseml/onnx/benchmark/__init__.py,sha256=tl8cy1ta02lUmMxwmDfRAYcVQfaj5OpU3igqYJHMGg8,743
sparseml/onnx/benchmark/info.py,sha256=iCNry2VAuSmTLrPl3a8pxDU_R-U9-Lpcka40QIg5BZg,15366
sparseml/onnx/framework/__init__.py,sha256=HpgplVizgXIPOmnE24RM1geQLp924227_T12jJjQCaA,823
sparseml/onnx/framework/info.py,sha256=YzZmDaR6Z1y66xo_OKtmQGA1ZVFOozZNXBJ_Ec74ueU,6116
sparseml/onnx/optim/__init__.py,sha256=EZeHGH5zDRfb0MrXqh4_3ci0ViBS2WWb8NqhAi8nd3A,820
sparseml/onnx/optim/analyzer_model.py,sha256=NLxYEH9QaU-xl2h1SagMHyfQ3skEsuYRFTqeYpKTgIM,13274
sparseml/onnx/optim/sensitivity_pruning.py,sha256=uibp_XyIwFID8J-Gym-00R0WQgw0Zai7ByDUyhnLlEE,19634
sparseml/onnx/optim/structured_pruning.py,sha256=XyyoNqa7855JM-R3B6UgSez2h4V1EuEi4jUhuK0ztT8,6470
sparseml/onnx/optim/quantization/__init__.py,sha256=mKe75Yza1RlQOe43pcLb-IzWJD34LhwAALF7LYU2f2E,815
sparseml/onnx/optim/quantization/calibration.py,sha256=LGguzFAMfqu57lBSfus79hMFuq7YduWW7HRn6svXjvs,14520
sparseml/onnx/optim/quantization/quantize.py,sha256=TXrlfpE3NssIJuAzdDctWG3w9jCF82PXJDC46GRMJLA,73551
sparseml/onnx/optim/quantization/quantize_model_post_training.py,sha256=EAcb7Tp8NKX8BZ4FWzzypfWgN09mcQ9zLaVWX66Thgw,4514
sparseml/onnx/sparsification/__init__.py,sha256=hFZDQQXFcXqSqiXlRBRUX7e7GavLphgRd8c21peq8fg,869
sparseml/onnx/sparsification/analyzer.py,sha256=DCKc8nYo0i3NDu73GVjvBYjuflXUZhkhB14FoFRlTBE,10209
sparseml/onnx/sparsification/info.py,sha256=UnrwVgOuj-HErwTMc-19h-QOrs1yG_mM45O9VL8oiXU,1363
sparseml/onnx/sparsification/model_info.py,sha256=Y0tpY9fWN3gr4KlkAdXv2QYJrrrjMvVZOCA-ujPJFPM,8009
sparseml/onnx/utils/__init__.py,sha256=fGZED95Xmko70ZmTWlZWX3-C4dajmbZcKgaap3HXmVw,867
sparseml/onnx/utils/data.py,sha256=6Rw3hkSG1DZ057USkzioSDFcYH92ZLwdHYlQY2PdkwQ,13002
sparseml/onnx/utils/graph_editor.py,sha256=IBNbKWjOLy7oW-bjsxBkSw5HULHIoeVFQFs2ccYVTs0,16407
sparseml/onnx/utils/graph_optimizer.py,sha256=AfS2zdxW1tJ6xYAe-2n3KdAdDenxiqslOFUIVAzD-cY,8133
sparseml/onnx/utils/helpers.py,sha256=1BBCS5YD1B1Gqj-iGRt8UFguxN9TV5GzkGmNUbOPdRo,40241
sparseml/onnx/utils/loss.py,sha256=2njnY0qY2n6DS9HHB0kqLz7N8wgPaDTkAi6Z2DLYPLc,1958
sparseml/onnx/utils/model.py,sha256=cK6oiwDZ_AZya9_wbxR6Cdu6pcLozIy_wP0PIF1xviA,31516
sparseml/onnx/utils/sparse_tensor.py,sha256=6Bu9fVJqLCtve3qpg9ScYGqcv4X7ZcRKhVrp8pCLBRI,5437
sparseml/openpifpaf/__init__.py,sha256=fH6rjBYAxuwrTzBTlTjTgCYNyh6TCvCqajCz4Im4YrA,617
sparseml/openpifpaf/export.py,sha256=YkX06A384K17AfKYli1RcYHcoVg4gF79ttZ-73H_6rI,3694
sparseml/openpifpaf/train.py,sha256=vl5ioCcnzep9XNVMOsveO9QRRrXSn8VDnEM1LGv71Ew,10950
sparseml/openpifpaf/trainer.py,sha256=Du9W5fW9ImC3XlOVVWesbcBv1SjJOfP_D94_hBUR6VY,4211
sparseml/optim/__init__.py,sha256=3oGQ4LY0MSrbTAwuyPHEOEyYiZ7JI7OX2BgWup5NPuw,882
sparseml/optim/analyzer.py,sha256=LUYBYyvfVwaw_V1aAiOmaybUGJQk4vRK5RG3k3nD7pA,6302
sparseml/optim/helpers.py,sha256=Zb7YPYe07vuVyYUhHJ-BlcMrZa-sxt1TUZ-Ec9Z6o_U,25563
sparseml/optim/manager.py,sha256=GLfvXBVkYWdIbEBf-cEk2Mq06MZPETgRr3ezTa7Iumw,21823
sparseml/optim/modifier.py,sha256=qYfVUL9thw94p4oEsNZgitUJ3y9izWYb8nUI3enyzOU,30708
sparseml/optim/sensitivity.py,sha256=neMP_hTRqzDUV0MrATevC2-JQYnOIvNW_AlIf_y_ydw,26315
sparseml/pytorch/__init__.py,sha256=3E40C1X1fjhlU0ZwdHZ-xhORHb-qDUtr7ALDv9xbzI0,1848
sparseml/pytorch/base.py,sha256=NTBT19CSpUiQKvGDw-cUbSCkLvVobBbt6zpnxfB6cwc,6173
sparseml/pytorch/opset.py,sha256=-BsKarkkKfq09HYJLZfxt_AEHEfuENpRDZF_J2va1Ck,933
sparseml/pytorch/torch_to_onnx_exporter.py,sha256=hluxRT9RdpIeZmA4Z4KU-ajielvT_09rov-1MYDCR08,10826
sparseml/pytorch/datasets/__init__.py,sha256=2xoH_fCMojldFY1RCWSkt9pGfa8SzHAxU5em-_ZiwV8,998
sparseml/pytorch/datasets/generic.py,sha256=nl-fFlpd7u5sNswe1AORZvQUne3sqrrPWnNgOUp6_Fc,4193
sparseml/pytorch/datasets/registry.py,sha256=cEA3d5ju5EMft92f2StVLWARnAxlRpidKZaozujmFdE,2814
sparseml/pytorch/datasets/classification/__init__.py,sha256=GMKhziJkRwSC7E_1Nox8FxnxhPFozZ6MxQWUWi1BN_Y,828
sparseml/pytorch/datasets/classification/cifar.py,sha256=k32Z552YrrJv7IlshH8AWylaRKCOUC8KSrzRLLTHTag,4017
sparseml/pytorch/datasets/classification/imagefolder.py,sha256=rOvwqy2Zp89VkT7zat2hQxRmgPyvCpSAhZ4mWEsL9JI,3669
sparseml/pytorch/datasets/classification/imagenet.py,sha256=CHzsckzsSsUCLR-oxaxJ8NH7j4WBqg_Wg5ge27bPk5Q,4000
sparseml/pytorch/datasets/classification/imagenette.py,sha256=cac2poejwyNyVUsxw4odSTmmrEkJ0AoIkDqDapAINnQ,6491
sparseml/pytorch/datasets/classification/mnist.py,sha256=hDmxt2oCugMIuhtUPn8m4f811t-BdZx9cxjPiarZuxo,2434
sparseml/pytorch/datasets/detection/__init__.py,sha256=RgS6mZ9-uAgaJ9GAgt40QI-kKl-gpLJf96MTrMUnd74,767
sparseml/pytorch/datasets/detection/coco.py,sha256=s9dL59xBIkKH3lvXDmTD-9SKCtTt3i6lgFgbLl26N0I,16159
sparseml/pytorch/datasets/detection/helpers.py,sha256=geEPIIsy1PuVxQRZi9xTopvSVAgLwSg9xSmYK1iucvs,5705
sparseml/pytorch/datasets/detection/voc.py,sha256=ntif1itgg0o4GRkZHHexBHIm_E9NaJh5opdPSG5jMeQ,10759
sparseml/pytorch/datasets/image_classification/__init__.py,sha256=fH6rjBYAxuwrTzBTlTjTgCYNyh6TCvCqajCz4Im4YrA,617
sparseml/pytorch/datasets/image_classification/ffcv_dataset.py,sha256=yMUOho19OugY5yaH5oXOho41_uYYjkwmvfhzdAA1u4w,9512
sparseml/pytorch/datasets/recommendation/__init__.py,sha256=Ngvu1hKPBJs8KQ-3f_FnGrp4Zw49VGrTg-3uQbYhIXo,684
sparseml/pytorch/datasets/video/__init__.py,sha256=FCWCuDjr7Vs7u1UYDOfe0AJvJlGoskWv6Rx0kyc0i9M,693
sparseml/pytorch/framework/__init__.py,sha256=9PE8aAdkuM75YAo4CKmDJZf49VcZu3d0g9ywcxQUiGE,814
sparseml/pytorch/framework/info.py,sha256=bD9mZK163Ozqetr14_bwlzn4VJJ5RSUbfiP7V9sEy8o,5580
sparseml/pytorch/image_classification/__init__.py,sha256=fH6rjBYAxuwrTzBTlTjTgCYNyh6TCvCqajCz4Im4YrA,617
sparseml/pytorch/image_classification/export.py,sha256=IDWzbwsWuppbPWRla3ePm9vOKO3buzPoej-TgoOQAbs,18258
sparseml/pytorch/image_classification/lr_analysis.py,sha256=qweXU51KeWjW86RJknvsavKPPXMd3PGAO7bcGosjTqE,15494
sparseml/pytorch/image_classification/pr_sensitivity.py,sha256=RA64lC4NOmFm2H11MO4HSuiw2ImtiRwvixtIw7Rol0o,14444
sparseml/pytorch/image_classification/train.py,sha256=-My1yUclgRA5wQoV4B_jtoOMRO1nQj389WfDkebu3fs,29287
sparseml/pytorch/image_classification/utils/__init__.py,sha256=ambjlzpSCaSZ7ZadPk2vMAB6kaZCm7f_hVqOVSWz8k8,682
sparseml/pytorch/image_classification/utils/cli_helpers.py,sha256=qypcmjezy-fZn2Cjozv9vumZoB44_9PDe_WXnChbvLg,4278
sparseml/pytorch/image_classification/utils/constants.py,sha256=k01fijyL2BicSWLL1EzhhdvG07WYMMXHZeFz-9fxecM,1257
sparseml/pytorch/image_classification/utils/helpers.py,sha256=0VtpB5TFfPp8oNtSVlyAk70mTSOBmhbjnYCP49j-Jmg,20912
sparseml/pytorch/image_classification/utils/trainer.py,sha256=KuTNR9lc-HE0zmin6T0xJQqAO0vFwkV7fpjvyiI27RU,11781
sparseml/pytorch/models/__init__.py,sha256=Lj1KLciXTQiZObA5HHgrPMHNQ1bGYswrsP776eizaUc,976
sparseml/pytorch/models/registry.py,sha256=cJLPsK8zzhVyZPvcJ8_Kj9-Ru9lTOywv61xuE50LiC8,14753
sparseml/pytorch/models/classification/__init__.py,sha256=opnCtf6WMl1kuQ_vRAZRLl1eFZefpG9GFc9o729HndQ,901
sparseml/pytorch/models/classification/darknet.py,sha256=rR4XXQu7shLADU4Th0D-eodnv-Z3AmA6kj8tDgHmtxU,11658
sparseml/pytorch/models/classification/efficientnet.py,sha256=_TedHJr332qt-9etaVCYnk9eOvfeSane3RoToFHILN4,40335
sparseml/pytorch/models/classification/inception_v3.py,sha256=wxWU3ja6E0_ERhYniDlzcsnVWi-rvJVfgxmhsyrpuC4,16512
sparseml/pytorch/models/classification/mnist.py,sha256=RyFLHgKzmbmSvI-7F4nkbUI7xkz5pKElT7ve1ZIn7VU,4164
sparseml/pytorch/models/classification/mobilenet.py,sha256=0ffCRqolRchhz4YoDH--tyDzLuQ1vyVbXL5LpAkXuIM,9546
sparseml/pytorch/models/classification/mobilenet_v2.py,sha256=e6SqGzdIuOEzwp_sbvEAXSwrv5eHPpYz-lgHACqrSXs,13014
sparseml/pytorch/models/classification/resnet.py,sha256=gQzFigjFUWNfUSp6oQWrvKF0ak0HlFpsE5YuupX-HYc,40931
sparseml/pytorch/models/classification/vgg.py,sha256=_7Dyaj58dSzvi7KcooOYlUEg8kJGkQsDLhxpIWFhnS0,16649
sparseml/pytorch/models/detection/__init__.py,sha256=NIlqCw6brqzhSlo6SyGz3eHmj3W1njG0qyvR4n5E3ZM,824
sparseml/pytorch/models/detection/ssd.py,sha256=38w-HWL9SiM3KvVN1KyPfpJVq-U1i-wx4zZeucxKvss,6820
sparseml/pytorch/models/detection/ssd_lite.py,sha256=UoXcZlEsOxw_1chviAluKKYEJZajflYvuvLF5lsfsCM,8116
sparseml/pytorch/models/detection/ssd_mobilenet.py,sha256=fDmIPuCnDh8jvNTV3F7TUZZSc3hugxO7wGFJxrIeF1o,4046
sparseml/pytorch/models/detection/ssd_resnet.py,sha256=Im4m61GZfDdgwtemTqzVK1hduoCOSf8c_Fnif1zvGZQ,9069
sparseml/pytorch/models/detection/yolo_v3.py,sha256=JMjZbIqx5uT1M2lbTVvTmZwkizrmcFsyreOAusa7f8c,10190
sparseml/pytorch/models/external/__init__.py,sha256=AiEtY-pE9G_KjBSauDEkvV4tmcDEqFrDNrx5aCuKHhQ,763
sparseml/pytorch/models/external/torchvision.py,sha256=pa44NKWjGHmY7tP99PcOm3sZjciHNzWP21R_-Y2ICUs,6759
sparseml/pytorch/models/recommendation/__init__.py,sha256=_UPdXBGXmCpAEg7pgJ-0rZjoBhUkFje1JxcItjktRK8,676
sparseml/pytorch/nn/__init__.py,sha256=bd3tEwx7afmeU0yK0ywTsq4bI1QoxtjRA4Dq-C5ImMs,925
sparseml/pytorch/nn/activations.py,sha256=dNDJaeZIUOqtQW-aAvARBVz0uE4MXKKZFbGt6_vu6Yk,8673
sparseml/pytorch/nn/fatrelu.py,sha256=twbvUqaJsKkjplrUJaVm4mfq-OC63eN-IboG70nhZO8,11854
sparseml/pytorch/nn/identity.py,sha256=vCs9du3P0fQS6clFFNCacHE-J_OGZiKcvsEz-iHZy4s,1690
sparseml/pytorch/nn/se.py,sha256=kR9agk8OKTEq_iPRLX8NHlbFUJlZEVFt7Otgtk5LoXQ,2828
sparseml/pytorch/optim/__init__.py,sha256=pV-8sO8TP23X6gS81BvCfEC9LCnRYws3ek-pylOnaHg,1243
sparseml/pytorch/optim/analyzer_as.py,sha256=6WCMuxF-8rcFYNTNiNoQMNloISfJBrk_9bYbSiMK1-8,13638
sparseml/pytorch/optim/analyzer_module.py,sha256=u8E3l-hvIhicNqsGcY4WTrT1hZBtPsIN2unqix8RAhI,17069
sparseml/pytorch/optim/analyzer_pruning.py,sha256=V-VWmMgTU1nHgcLlVmyl3aNo4yeeG0HGleAfTkhNiyI,3955
sparseml/pytorch/optim/manager.py,sha256=YVqmzFMCcsUumw8atHXkPXEcNIphVSvV1E8dmd1nXBk,26711
sparseml/pytorch/optim/mask_creator_pruning.py,sha256=k0gHVM8fThZqLOBfdfte1l7zoylvDRpaAxfcM32eioc,36844
sparseml/pytorch/optim/mask_pruning.py,sha256=QqBrPfskL0vJlFOsxrqZp0sCk8NQUf4srj5WNuWHyJY,23085
sparseml/pytorch/optim/mask_pruning_scorer.py,sha256=IKiIegTFtez2taiWwDwaxJOMvEd8---GQ28CeZD24gI,10449
sparseml/pytorch/optim/optimizer.py,sha256=f20_TaCsvNRybm0qqG1BqXu1KOQpDeQkIOZWiMvftJc,6605
sparseml/pytorch/optim/sensitivity_as.py,sha256=9QJiRvMkFXCFCCQYuA77BwJgJRoHDtuQ4fxx3T3cwtY,14879
sparseml/pytorch/optim/sensitivity_lr.py,sha256=j78fmJBoAhK-NKM8mVLdc78Hh8-6Jzyplba-UJp_Yfg,6101
sparseml/pytorch/optim/sensitivity_pruning.py,sha256=9cxUlgVW2JFL69rVe2UYX6ID8m9_-d-x4_J6iSN-W1Y,9324
sparseml/pytorch/recipe_template/__init__.py,sha256=TF5uEKrpc2qYdbgmXh9xVp2GQ3p--by-LoCegY19EeI,633
sparseml/pytorch/recipe_template/cli.py,sha256=OJ9iJmEv0dyQQRFSeXp6TVjqcmtF7QTkJ0ul3RZKIR0,4534
sparseml/pytorch/recipe_template/description.py,sha256=oSZPUPnhDxOFcxX5Zr7BZHiGGQfZOQPp_phbbA31T74,1559
sparseml/pytorch/recipe_template/main.py,sha256=o7sK_d3AXpdwn8ze-_bNClBgPp_lzM9TRl0HFbtLMCY,15943
sparseml/pytorch/sparsification/__init__.py,sha256=ilePtrdbOlUDo54J3thfX_aWpaGmy081zfjAe1wLBVU,992
sparseml/pytorch/sparsification/info.py,sha256=BWPbqg1ODqmoDxuPYzXes7A1hGMrMcH1rqnJapW36pY,1366
sparseml/pytorch/sparsification/modifier.py,sha256=cEOpqCzfQpputxN4Xn2kWHabMxWbIzqTCuAv5pSkKFQ,32014
sparseml/pytorch/sparsification/modifier_thinning.py,sha256=HLfbTZbqNTaqQ1fWu2y5J_QVqj57cKbK0p0zrdKu1MI,18952
sparseml/pytorch/sparsification/distillation/__init__.py,sha256=btJ9Wl7isNbxgmzE7PjTeffGgRovVqTkcBfv9M1tV5U,705
sparseml/pytorch/sparsification/distillation/modifier_distillation.py,sha256=o26xRGsPP0SIyKZ7j6THdfj5802WFlQHEDIeNbxrfUQ,4741
sparseml/pytorch/sparsification/distillation/modifier_distillation_base.py,sha256=qznm9EWML--DtVzvdqhmgMRFJxJHSK_SCu2yZ9KpWQc,14533
sparseml/pytorch/sparsification/distillation/modifier_per_layer.py,sha256=SzM-TDC2SS0hBLr3PbeVE01oBcbHGL2SvqT0awCiMVo,19177
sparseml/pytorch/sparsification/pruning/__init__.py,sha256=cTCk2F5tGMUwKVDhTFSvjGtx42MRRxQR2ei_zn6djyg,1158
sparseml/pytorch/sparsification/pruning/mask_creator.py,sha256=Ysq75fdYo5WQcvt6ox8HTKv6SVNQjy_Y4rSs1JeLsuI,29250
sparseml/pytorch/sparsification/pruning/mask_params.py,sha256=Xfwjsl86zbBAvGnUCAE6MzU6ABB87eMYCvnAgoztqnI,22391
sparseml/pytorch/sparsification/pruning/modifier_as.py,sha256=7JKrvWdm3-xHF4z8IUd046BuU08P0Z-Hqqbl5YwShog,13389
sparseml/pytorch/sparsification/pruning/modifier_pruning_acdc.py,sha256=jRMApqylXjFHW31nZY_iMveu265uqQqIqNHrXGzmmyU,10455
sparseml/pytorch/sparsification/pruning/modifier_pruning_base.py,sha256=HsLi7Mdu9Lty5A9w4nY9sTe9NgzDxgJRoM-LzFkl6Ao,33219
sparseml/pytorch/sparsification/pruning/modifier_pruning_constant.py,sha256=D3zx4rL5ccwi9kFGsIo1OoPW9zl--ditOu7JKb-9hGs,5757
sparseml/pytorch/sparsification/pruning/modifier_pruning_layer.py,sha256=giv8z84R0-nQ7MRfW6MrqBd0C19GFnFTUNjJz_5HlRo,8860
sparseml/pytorch/sparsification/pruning/modifier_pruning_magnitude.py,sha256=5W-H7scPflGySPoeLZaFwyvihbqsYcZP6xwMWsQ75WQ,15595
sparseml/pytorch/sparsification/pruning/modifier_pruning_mfac.py,sha256=wqjXEs-dabdED__dOHUngYtOn-A60X02I49dCEDJ65o,63525
sparseml/pytorch/sparsification/pruning/modifier_pruning_movement.py,sha256=gmRbalMpVEJ-U5xdL5Vh-XcTOhkfr8z_cWlKw_m1c9k,8774
sparseml/pytorch/sparsification/pruning/modifier_pruning_obs.py,sha256=AD5pENo3WL9FbFyWpYAZjSt3p5h4tZcVrHwn4apEEno,23769
sparseml/pytorch/sparsification/pruning/modifier_pruning_structured.py,sha256=h7ASPoik7zrBXE_lbdfBO3UkbrTeXG5gGE1Flg75h8s,18245
sparseml/pytorch/sparsification/pruning/scorer.py,sha256=EmeyC_YenT1K1xEu53J3DnEeALmi8T5sKRgisC-aCwA,4580
sparseml/pytorch/sparsification/quantization/__init__.py,sha256=OjbeCzzhoeFJEJQvLmXZc89pghO83sLRhmvNF7_q_oQ,813
sparseml/pytorch/sparsification/quantization/constants.py,sha256=sla-j0QwLFq92AbDZkHkNLxugpGrNEQJIuLWoWqV3Ks,2220
sparseml/pytorch/sparsification/quantization/helpers.py,sha256=MmY5iOMlBUBEMrotPyj3H5drzpXhf13v4FJjb1N2aaw,32271
sparseml/pytorch/sparsification/quantization/legacy_modifier_quantization.py,sha256=VDbm7BhpZQal_u26HSixmERKk3nZCW0gb3EMzdeAR6U,33543
sparseml/pytorch/sparsification/quantization/modifier_quantization.py,sha256=VQnQZozal38sffuIZjL1vKs6LeDhmiy-BvKebzewYO4,26253
sparseml/pytorch/sparsification/quantization/quantization_scheme.py,sha256=zNlQmvlJtyLCKLDqp12fA7swf_abKgsiSIVc-CtCwj4,12560
sparseml/pytorch/sparsification/quantization/quantize.py,sha256=Pc1AB2xDQQnq89CxoBRQnDkruUlGYpGgs-9GTKlcSk4,17476
sparseml/pytorch/sparsification/quantization/quantize_qat_export.py,sha256=njDZqmxyFAnfC4Pd3zUWsYMrAZD_zcboXdylTeFV74Q,67038
sparseml/pytorch/sparsification/training/__init__.py,sha256=KBFeVJ9Q8F2uNFGkN7UHVp2Y-fqbQvmTvAZDL8e2sXA,758
sparseml/pytorch/sparsification/training/modifier_epoch.py,sha256=_5p1EZk2qbwTnWsMXbVan3vRj1IRyIM4wYYZdLGA5GE,1778
sparseml/pytorch/sparsification/training/modifier_lr.py,sha256=m_tCydo_BHiXCHMUKZu6iqKLAP24acAT8-NLjH9RIlE,24287
sparseml/pytorch/sparsification/training/modifier_params.py,sha256=G_0eVqu0Cup8WNLFhkfPmYnKtJlNrxcJt0FcOOdq9tA,21497
sparseml/pytorch/sparsification/training/modifier_regularizer.py,sha256=ezHbcwI8ITgq4vwkzsWXgnq_ls6NONW_D8jEN-YR7u8,6690
sparseml/pytorch/torchvision/__init__.py,sha256=fH6rjBYAxuwrTzBTlTjTgCYNyh6TCvCqajCz4Im4YrA,617
sparseml/pytorch/torchvision/export_onnx.py,sha256=oiittOzvPEWMBpyldcfX6Yr7GQjKiKkOH4IUX-QQ718,6490
sparseml/pytorch/torchvision/presets.py,sha256=PMRKjg4sBm6_UdhAV29wSSeOdDR6QlCzjcJbQWSenUA,2870
sparseml/pytorch/torchvision/sampler.py,sha256=VuebeOVoQWLsafwJEeGgKQrDfF8PxzimHWFLs9odGz8,2530
sparseml/pytorch/torchvision/train.py,sha256=fgRQyuuEV1QDgqkuI-3e3-HBiFaZHE6WMy66Y91elec,39334
sparseml/pytorch/torchvision/transforms.py,sha256=_WfLKV2G9ZLt2zdpKvaHA1ricPGufVIF-lzgKaOL2Ec,7128
sparseml/pytorch/torchvision/utils.py,sha256=weRmF78Qf9_Kgd-L7aAHERmXKoCVqUP4J8pbSZmav58,16675
sparseml/pytorch/utils/__init__.py,sha256=SZ-ovxCBrryvoZmgMcDKN9AQ8PMSA8G7T4o_YNJ57io,1121
sparseml/pytorch/utils/benchmarker.py,sha256=Zw1pEj7wDe4ZU_-G0JOCymdLXydN19K1QZKzPJvBp9E,9706
sparseml/pytorch/utils/callbacks.py,sha256=1z10T8xE0IY5mcL2ARSsHDt6sDWRVF-Nq6zVf9OvD0s,2846
sparseml/pytorch/utils/distributed.py,sha256=lJtEvgMg6LvH9iUwhveCaWNrx_t7pjn-sOW9rfYViwI,1061
sparseml/pytorch/utils/exporter.py,sha256=PXzV3yTpRKFCYkMc4oN5DaGlNgQxf3gzIfqH6aIKqMI,30629
sparseml/pytorch/utils/helpers.py,sha256=QDkl7HVbCe1rzt1BPqlB9h-WqEUxfewd58WC_ycPQ6g,38943
sparseml/pytorch/utils/logger.py,sha256=8GGXs2Icdec5qLvwxvc6ztGAkFBJoe1n7tMmUh1fdCY,30198
sparseml/pytorch/utils/loss.py,sha256=RWFyThMBaB-7jAVuS3_CU5bmsWOVFG1jqzPciSpVsj8,27048
sparseml/pytorch/utils/model.py,sha256=cBMU6x0HP6zGaVdCrUAhRi2hTEw8Ap0nw9e_11QBivw,11707
sparseml/pytorch/utils/module.py,sha256=gWKNLqn8bI_q97u_QC95WkxBPAclMCwz3HmrZEHEYtU,39117
sparseml/pytorch/utils/sparsification.py,sha256=tNsC2E9YAVplcjaqDKyLQOTy3xtyZkY8VGK9dt8IJYQ,8382
sparseml/pytorch/utils/ssd_helpers.py,sha256=05fySE5KNwrt7UF213niHp2STRSeprlU1NbLAjpYRaU,30059
sparseml/pytorch/utils/yolo_helpers.py,sha256=nFlDPOEWfooq8GrUzKRpr7vS36m9NQMPGZSqCYmGMks,12337
sparseml/recipe_template/__init__.py,sha256=0HHlF01-zO71wTzxQ9AE8UvqmXbgoyEEykAVGcyVjWA,655
sparseml/recipe_template/utils.py,sha256=_ASxYYYJPIkK-Ffsicn9hezlHt6dXBLObCPqh9Uz6zE,4788
sparseml/sparsification/__init__.py,sha256=YmxZ5Gbbn3zfInFZDA2aH9gM-gK-JRgYTnOgXSNskAQ,1058
sparseml/sparsification/analyzer.py,sha256=ky-GJNpDUssyN8HBxxqBC_LmUxnaL9eL9Rl2aVgbNgU,9387
sparseml/sparsification/info.py,sha256=kH1RZJGpz0yHgFVvJaj0WEzID8WCozMjiJdQ5M08PTQ,9065
sparseml/sparsification/model_info.py,sha256=fNOh_pVc9lGaBLcEf3YIemIbJfZxFNR4JuILvRN-pks,15565
sparseml/sparsification/modifier_epoch.py,sha256=JKUM2cVQPYGx4vKbpF5IGwQFWM0NevFHc8dq8InQdbQ,2002
sparseml/sparsification/modifier_lr.py,sha256=-3t0ozub6vfyh9NAgvgRgbyXIP1yu9_URuArr5TdTXg,10117
sparseml/sparsification/modifier_params.py,sha256=n6O1tD4nsOTeeGJ5ym4hB7PQwSEWNduymW8_ObjAO7g,5505
sparseml/sparsification/modifier_pruning.py,sha256=7_i4dzdkfOFcD7A_d8cublgX5KB-hyOGOJZtU41JUwU,12845
sparseml/sparsification/oracle.py,sha256=9J8iIdr_aztwc06tRgw-2ZdGN_1RgJBYWZDY1ZfHhAY,3700
sparseml/sparsification/recipe_builder.py,sha256=i8cFAkDemk8UXiPff5s9necHXECk6WO2AySnqiqr8MU,18570
sparseml/sparsification/recipe_editor.py,sha256=6PqExzex1nmMj2a0jkE7JUeeuMTGA27GCH32C9B8V40,14413
sparseml/sparsification/types.py,sha256=wi05A10SkgSBFmBUtzdHIIMTsY4lPTXP0ycZrBgbub0,1250
sparseml/tensorflow_v1/__init__.py,sha256=8-ffiWbZ1u7dexBap4ypGN4NQ1-iXFinHiiaTwrFxnU,867
sparseml/tensorflow_v1/base.py,sha256=PHZOsjEtcG3gEGRdU7tu2jNRAYYo8KrCmPenZyo5IQo,7272
sparseml/tensorflow_v1/datasets/__init__.py,sha256=X0o7cmzhXhLwjrawfN3pIqrFTKALH_xftMIerzWaLjQ,925
sparseml/tensorflow_v1/datasets/dataset.py,sha256=t4OfviMyfbn63kNrNiH19blDvoxcxhyBiLgUh03Ryhc,8121
sparseml/tensorflow_v1/datasets/helpers.py,sha256=mGy1YuQqERWRG-dknPmOspyWtzUinY9GUSEdSPycGF8,5600
sparseml/tensorflow_v1/datasets/registry.py,sha256=2H2fG0iUQ0h41XVpZp-GHXM3Ti6axePI1O2LQKqSqhI,2768
sparseml/tensorflow_v1/datasets/classification/__init__.py,sha256=xNLlq5y7_cssxlZZP95CuYioqEiU6TanVbzMCqoCVTo,807
sparseml/tensorflow_v1/datasets/classification/cifar.py,sha256=_ETXHcC9cPtQbQIoBLgQQd2GC0Ue6kEO3XXpaZY54xg,12686
sparseml/tensorflow_v1/datasets/classification/imagefolder.py,sha256=Gg7Lyh1TcHwikn4fe6t4ojKItuKX9b2CclZZ7dE4414,8690
sparseml/tensorflow_v1/datasets/classification/imagenet.py,sha256=ugCw2fA5mi_VC4hddl97lxJRBsfgb8cS9Ifo7-oTzec,2032
sparseml/tensorflow_v1/datasets/classification/imagenette.py,sha256=efwffxNgoENZLnai3S3j1gZ048_ieypTv6pzaR-azV8,4695
sparseml/tensorflow_v1/framework/__init__.py,sha256=lL4pMe-VUJQ4ScCvobEI2KZ1d1zZ3cMHHEJ-9bOrAGQ,805
sparseml/tensorflow_v1/framework/info.py,sha256=JOUbHASSWmnYey0wH7uaZzqcYd1nptCVDniJ5sRak20,5859
sparseml/tensorflow_v1/models/__init__.py,sha256=hDaK-6YuxTZFz5aMod4sY1rvE5YubMtfBGRXW8IrXI4,925
sparseml/tensorflow_v1/models/estimator.py,sha256=q5kUccqQ-PPDvtM3Fz-y6B4bAFMEsXF0QPtNmwsN7-I,19752
sparseml/tensorflow_v1/models/registry.py,sha256=mNJyle9nW-UokpklyYlmy1OjL3QBgRVJLL9hGJ5f1lo,14774
sparseml/tensorflow_v1/models/classification/__init__.py,sha256=ytcBTa6Uio-_nGAKdtcUES-RPnDN_61v9Ogfd8xdeJ4,822
sparseml/tensorflow_v1/models/classification/mnist.py,sha256=pwAvInb3560mOIEKgTWvsyGZPRBdwc461AAh3__82mQ,3540
sparseml/tensorflow_v1/models/classification/mobilenet.py,sha256=FVLJxMbLQrueLoqY8vEO-uyIOhSUny2lDJwVvOIp6L4,11161
sparseml/tensorflow_v1/models/classification/mobilenet_v2.py,sha256=ajsi4q7BVSj-En2BPde1xgcw90EK4-1FwTZzTasZxiY,18359
sparseml/tensorflow_v1/models/classification/resnet.py,sha256=94BYM4rwh4rwi3EoYLyMx-OYzoEQtpYHKb8ueEtVFYM,28103
sparseml/tensorflow_v1/models/classification/vgg.py,sha256=y1V24OoQbkIdNie-dlkx8ltawqOA-vCBzpzyGuQ4Qys,26886
sparseml/tensorflow_v1/nn/__init__.py,sha256=ETjmZIpCQzoczXrZ7mP6R5xxPMv5XiuRapxYcM2ysB4,865
sparseml/tensorflow_v1/nn/layers.py,sha256=gRchGnN_q5uMF1ucFMUOnvLficPrOAClDU-rnzD6q0A,18670
sparseml/tensorflow_v1/optim/__init__.py,sha256=3DlfBDSV2IMs3AW1odyLizyOk7UVPPqV678KZZQK5bQ,1238
sparseml/tensorflow_v1/optim/analyzer_module.py,sha256=dRsCXyLdON47NK69FZx5h_e8rRtflzbzZ1VP-2O0JIo,8607
sparseml/tensorflow_v1/optim/manager.py,sha256=_nwg_zi4NkwFqDlOrhP-ts7Ht0xow3xKQhq6t-ShRoQ,9591
sparseml/tensorflow_v1/optim/mask_creator_pruning.py,sha256=JnLsKeL_YDaP-QghZeNcugpd6J-Re2AJhWabhCtsmn0,19683
sparseml/tensorflow_v1/optim/mask_pruning.py,sha256=cLugPyXABz6SUVftYTYrIhLCREL_8l5GH_ssAkbPIm8,33919
sparseml/tensorflow_v1/optim/modifier.py,sha256=himHLuNp3raJ4-KbjCNq-tW6mvFkBlbNvJua-0irk1I,15955
sparseml/tensorflow_v1/optim/modifier_epoch.py,sha256=my2uUEfYkY9mXSMI-P4-j_TIsFNQyj0KPh2KtzMjFJk,1715
sparseml/tensorflow_v1/optim/modifier_lr.py,sha256=M9wf-dEQ7Wwhwf6ytu34LKxTFVAtFu8XmorbD97UFWU,10685
sparseml/tensorflow_v1/optim/modifier_params.py,sha256=MaRkIMWfRCtDfok46iRrZCJY4MFa8QB6h6ek4YOSEG0,7092
sparseml/tensorflow_v1/optim/modifier_pruning.py,sha256=L9RwEGV6QHgre7OdyIOM77pG07Vds9WtyvTBCqX7W5Q,15702
sparseml/tensorflow_v1/optim/schedule_lr.py,sha256=0ZMyRWrdKDimpp_EBAcY9qZxrO5GFr0qT14FnRVcLMk,5682
sparseml/tensorflow_v1/optim/sensitivity_pruning.py,sha256=Mym7MRCBH1h844J5z3QxCGuyz7DgYGT8ox4ydiTxfHY,9232
sparseml/tensorflow_v1/sparsification/__init__.py,sha256=nI9CP4wr2Z6iiTNPcEjmEd55CTLcdItEKy3QothTrnU,801
sparseml/tensorflow_v1/sparsification/info.py,sha256=FjeVbIta_BgFDffrpct9vJmFC29iIF3onVzM9h-Q818,1385
sparseml/tensorflow_v1/utils/__init__.py,sha256=FhgTPE_G6lftVrwrOCUghTMxmi_1TbRwOX3TYJt5X7A,967
sparseml/tensorflow_v1/utils/exporter.py,sha256=RqpSP-w21SrkA_ik9WoIWdIVAAui88AiBXxRWaDZJJs,10913
sparseml/tensorflow_v1/utils/helpers.py,sha256=40eZgnejvIki_CdupK4V1gETAgGDE9rbEXEwuNg9ASA,996
sparseml/tensorflow_v1/utils/loss.py,sha256=4AsXh70fjp1dDcxBUzgjjpLgndwVa1CBiMG1sYi5Was,1974
sparseml/tensorflow_v1/utils/nets_utils.py,sha256=cOTKgw7PVPEjRVU-bvcsNLdBJGTi-A7djJaUaZQwsT4,8119
sparseml/tensorflow_v1/utils/summary.py,sha256=A2ub7KDwzsaindIuCHa7N3cRpCU6d7QbD5uNHV-R6H8,1327
sparseml/tensorflow_v1/utils/variable.py,sha256=6ziLaNOLnxQrSPWJ2RaINqg4w-4NK9reVJWH-weK3-k,12536
sparseml/transformers/__init__.py,sha256=iVfe-rgSRQSgfi91M4B90Sn96d2WDJkwFJv8z6th19U,4268
sparseml/transformers/export.py,sha256=JR5cWm0u9pZsn5EiXpJkEZrIHuVLtzSB0js84GsoGn8,19721
sparseml/transformers/masked_language_modeling.py,sha256=3NVCBveaLUI-BNgTqX5Pm97-apHNFVbyNUDr5z5x1cI,30936
sparseml/transformers/question_answering.py,sha256=koobYWD4GBcGqWkW1L005QCw4huh5rbFa8rJp_wnWko,36738
sparseml/transformers/text_classification.py,sha256=9uVAi6vGSl7rF5DHPS005lW0dxOpz2N4ZIXk5-50u8c,40358
sparseml/transformers/token_classification.py,sha256=hwEcnB-3V4IjOV9fhOAy15I0tHfgqkhNbiZCl7BVm14,32878
sparseml/transformers/sparsification/__init__.py,sha256=22XZNePvLFXNxp5NrcUIXzjgynCZm6jvQOErpRGlQNY,833
sparseml/transformers/sparsification/question_answering.py,sha256=FAXhtQ8MW_2ar1dix2tQ1x1RXZuSWMLHZbVHToNWwmo,19529
sparseml/transformers/sparsification/trainer.py,sha256=JwbmevvYb5ddqou3b_j8970PQGO267bd37Zt1ahyN9Y,43523
sparseml/transformers/sparsification/training_args.py,sha256=gGivIDchLi__PZMNQRmzDOaQcQLkUVFystq3LaVko3Y,1890
sparseml/transformers/utils/__init__.py,sha256=dxyg6b2XznhBzOsduHdOalgTmoX1JC32Rb4AHns6rVk,794
sparseml/transformers/utils/helpers.py,sha256=pgxtf0ygP7qJEVPse_dGxm7UpWSJ9JVebA_ex1c8Muw,3090
sparseml/transformers/utils/metrics.py,sha256=ciZsxgdrzlSMnyzbgKOFE3spWsKql0z82BiYFRXiVOU,2536
sparseml/transformers/utils/model.py,sha256=HlU7NMTEy34eDA1dyqX8AH34GHR3ClwE8DVWD7a5tNM,15797
sparseml/utils/__init__.py,sha256=-WKBN4DERhw7rTJkarilkyAM9pw4rW8qkXGRPSEJ8SM,844
sparseml/utils/frameworks.py,sha256=S-cGkbVc6DoWfI6Hu5AkIqF0Vi1PyxKX5GfhwRfpv_E,886
sparseml/utils/helpers.py,sha256=smNZXr2VnhVfvM6s_1XTq1UIJtjRg0-cDn5to_DBIWs,26321
sparseml/utils/restricted_eval.py,sha256=bBScMel61Cl3OcXs1TvxQgao1P2cJgmeDHeLSHF5Cqg,3983
sparseml/utils/singleton.py,sha256=SbOoiw_CW7d9TEYIcvfb_ueaAD4iKbURZiTlBfM173g,1083
sparseml/utils/worker.py,sha256=swoPegdTmV8nYbyie2WUytLLdwaK9skjx4RejHD3cww,6312
sparseml/utils/wrapper.py,sha256=xrhPKRrXajQtDGIS--ZZxLsvnVTnnP0vlcnt_Tyd--g,2952
sparseml/utils/datasets/__init__.py,sha256=HFbqzS5n0692VGBO5eqlTxc14WlRM2S_Qt2xhFxsGE4,819
sparseml/utils/datasets/cifar.py,sha256=tvkMGu8afg9-EVlHXAEfEYXkje8nFzgnlG4mREsbxzE,833
sparseml/utils/datasets/coco.py,sha256=5w9Fm0O2kUtrC1upa6DCC4WZ13df-ZlORPUHEwGFDLc,3750
sparseml/utils/datasets/helpers.py,sha256=1i1jiOoj1q-_Nef5dJBWHoO9v7ZjogggihDjBMNbf_A,1217
sparseml/utils/datasets/imagenet.py,sha256=qAL7K6tmlfwBY7FI14wcVb-7g3Rzs4wtZIOV1kvoV0w,23366
sparseml/utils/datasets/imagenette.py,sha256=AIxAI0wfUqu08XPJ1cG8SNUVocjoeFHVepQZDfsztFI,8967
sparseml/utils/datasets/voc.py,sha256=CzSEnTe-KqWyOLwleame66PtYqF8vuq9EXaNgmms6u0,1009
sparseml/yolact/COCO.sh,sha256=Q_1I3VZwS4N1e3AwOoimQH2plK2K0athUDWooWR4ZVQ,1875
sparseml/yolact/COCO_test.sh,sha256=ZoA_h_68zM8EWF510o24_5xBaQtbJLMHenNjSzldYYc,1418
sparseml/yolact/__init__.py,sha256=g3jqcuxdvDPBE14-ESOOfSFRV6TW3dNERyjkwLoHwd0,3908
sparseml/yolact/scripts.py,sha256=7GE3xp_B8JJpa2H-Vum6rmiOJHcChyffuno4-yteUUw,1784
sparseml/yolov5/__init__.py,sha256=GkDTxi-5WwAG8xjuGA7g5DRXbI9CWBI3bBJoAkNk_YU,3154
sparseml/yolov5/helpers.py,sha256=jxzJrgKjsb0PHTeGevKICaL8iBOUzxwZXvPAyGyVE-c,4505
sparseml/yolov5/scripts.py,sha256=rbVgQ3yNsBCk57BMVh5mKomDHql0S-PkHNGCy_qUfEg,1609
sparseml-1.4.0.dist-info/LICENSE,sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ,11357
sparseml-1.4.0.dist-info/METADATA,sha256=EUBVbzaqMj2IOk_7WSdu8kioA4l8HasEY396oKkz1O0,22025
sparseml-1.4.0.dist-info/NOTICE,sha256=4XaU0pCaSBt7sTZ5qA0WEn0jzOHUEL4FR52UEea4G3w,2158
sparseml-1.4.0.dist-info/WHEEL,sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA,92
sparseml-1.4.0.dist-info/entry_points.txt,sha256=cleX1Ani7yuDYD_K-r1rLlZMRkvVtmroOAzQOj-JvbA,2206
sparseml-1.4.0.dist-info/top_level.txt,sha256=JOOlWKgkyuJBScnty7pC1SQ58fOo1ONbslvMdxB6L2M,9
sparseml-1.4.0.dist-info/RECORD,,
