nncf/__init__.py,sha256=uqDeKHTDNt5HYSjgAoi8gLtw4NNOo779EjUjj44Kdyw,2255
nncf/definitions.py,sha256=e9_8YoooG-bjUN2BbZyTAO21NEKB7PgGOuuv-DDVjvk,1071
nncf/parameters.py,sha256=E04XrmM-Wg5P-_mhPbnrqfY5OHMJ8Bmg42PBeDsld1g,3630
nncf/version.py,sha256=Mqr43cxSTmt2rt23vo0pbAS9euDLBO9xDOb4f80Zpdg,112
nncf/api/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/api/compression.py,sha256=dT1K3tKQhSshLyt2yAIj0Atk5DenYbxPEr_4GciUh58,14717
nncf/api/statistics.py,sha256=zDWUXy6TQAbXUhIA9uJ37nshYrAX-HVXbOFqb9gexPM,979
nncf/common/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/common/collector.py,sha256=g2NFPuy8FJtey-XufJHsCKVX50EtKG07In3Gc8QNYUE,944
nncf/common/composite_compression.py,sha256=IBA_segTZqUlnCsfhOTV7p4e2KEmFktF0HCU9syz4PU,15141
nncf/common/compression.py,sha256=319U7b1vqU24dQKIXLV34d1KIxawTJIwG89cwpOB5Us,11848
nncf/common/engine.py,sha256=2FK7IToP2yQ2mbcangAoTnUONTDu05gKbgCj6lMaNVY,1020
nncf/common/exporter.py,sha256=N8H_cgfLKpe9lw6oFzN-JdCQkDM7s_EZrHru0oj1VNg,2401
nncf/common/factory.py,sha256=rJ8PfhgKOfKLI0pDTwKTfZXNVs8qxUOU5ajTLseFu8c,2913
nncf/common/insertion_point_graph.py,sha256=dlGeACQ24verRrI9SZkVh6pV60xglB3L-ozW-r0d08A,22165
nncf/common/schedulers.py,sha256=aopSL1kFPktqRqqgF2AZ_Zsg06iMMGqYnWmYO4yLrxc,10342
nncf/common/scopes.py,sha256=n1Wx98EIvqWJapuHAq9aHFeTVBMV5FQZfsHLzzCC59E,5570
nncf/common/stateful_classes_registry.py,sha256=2wHPRSkYJyVHPbjiZaNyAwGeVz7WNHeN0TYa5Drt-5E,4593
nncf/common/statistics.py,sha256=ftzIUjrWvD4dj-Nx1_EopVcfqSV6RlG5rE-hQiPHP48,5138
nncf/common/tensor.py,sha256=tjQ1Q3Dby6jgx9X1k6UAUipZoPLjEyu-1IOHvzpoUaA,1421
nncf/common/accuracy_aware_training/__init__.py,sha256=DT9fxTHnD9rsvRrm9G87kvvCDtanFj9tWmCLkZgZ8fo,765
nncf/common/accuracy_aware_training/runner.py,sha256=eRbqdYfoB5bVAtZXbPgl99qxV4KhdiSC9vpsiN44uMQ,21273
nncf/common/accuracy_aware_training/runner_factory.py,sha256=P7CdkIGBjZhavt2ZDjU2jzqN0p2iiIwar53bpDnBafQ,5614
nncf/common/accuracy_aware_training/statistics.py,sha256=Q-H9qc-TZPmRaxbFn1HpPACzUECq95ZmZdnQb7mYrPY,1535
nncf/common/accuracy_aware_training/training_loop.py,sha256=8PwKxRDRSCehBINaFA_XAF7HkCWvH3HXK_UUQxZivSQ,25140
nncf/common/graph/__init__.py,sha256=B5-1bPBLN9BZPxIRHDm0AS76H0g8uNvd1plz3aYPULM,617
nncf/common/graph/definitions.py,sha256=yfOiY9wxQIHbxi8PBP3bOnG6lhgwJCDasmt4TnLO7RU,766
nncf/common/graph/graph.py,sha256=fY9DImp_ra5SEo0ggyjul_DTPY2Oo9Jp96hzSbLZSPQ,29648
nncf/common/graph/graph_matching.py,sha256=XS97h9FN2RG3Bnl6ILIY683SmUdyRzwGlDUhUvJ3H8k,6853
nncf/common/graph/layer_attributes.py,sha256=_q3vJNeGyvVJlBn74kQDhjSQewN4Ptkj_HANqwshpkE,6682
nncf/common/graph/model_transformer.py,sha256=rLSUBSjKHXWfpRErvYSDfifLvXEDIvXnse3SYA12bJY,1360
nncf/common/graph/operator_metatypes.py,sha256=rGJtIxFaYtK8taWxw9IuTe3MuNaZi0gGmSXFutmya4A,5157
nncf/common/graph/patterns.py,sha256=uZoH4_rvGy0LcB4cDqDDDyxYfV4wWrMlQg1MoWCu2n0,10700
nncf/common/graph/utils.py,sha256=7xBE3MiyHMN9kIht0SBEcVHt4Rt_pM1VcKs-S0KEmf8,3271
nncf/common/graph/transformations/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/common/graph/transformations/commands.py,sha256=QZG0Svf9Ul40epQymzB8ZcLRJ6oi9iMjziBxt_nR3vI,7957
nncf/common/graph/transformations/layout.py,sha256=_KgOCSoGFJBNzkGBdLxH-PEZedsRpqm0RCr9yVPuJHk,1936
nncf/common/hardware/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/common/hardware/config.py,sha256=bQdgGRKkxV8dakvOZT5VxAK25q2Q9zcc5Tswct_exCE,11653
nncf/common/hardware/opset.py,sha256=JeIg7Aji94akoTRRRLHOl9g2V54_SLrXQaRdhC3kmkM,1719
nncf/common/hardware/configs/cpu.json,sha256=A9sijtkasJPh15-nWrTYxOzg-IjyXgQLhy1OtglZHQ8,6837
nncf/common/hardware/configs/gpu.json,sha256=ui7qoTOTI6VIH_O-yLoMKYu-bKHdf-vTM8HoejAy4nw,6311
nncf/common/hardware/configs/template.json,sha256=CW3div-ln5nmkp4EgHRNtSvA_7maNuTYwByI6Qvgy4Y,3113
nncf/common/hardware/configs/vpu.json,sha256=YZar4YAt4XxPB3xMjBf3o_CgeQLUD9BxkZ_-tmMa85U,8499
nncf/common/initialization/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/common/initialization/batchnorm_adaptation.py,sha256=GRu_UDN15Un8PDqr8mpxRZPm0qvYh9PgeVEkaVTTilg,4347
nncf/common/initialization/dataloader.py,sha256=XTu6N2g2DpG-VsRyca-m2N9zjNcbYAJtXp0uGtw49m8,1188
nncf/common/logging/__init__.py,sha256=ug_L0hTlp1vTFFrM2AjwbGzaiPQbUi54ZkW_zNqesWQ,630
nncf/common/logging/logger.py,sha256=6kxAfyUgKXHquCwAy0GgSTwe3-WHJ4UbFqGDOeQfg-s,2618
nncf/common/logging/progress_bar.py,sha256=X94ksn1rNCWLgUeymwRhFkYOHKwo5cw8n4MKUljHE6g,3280
nncf/common/pruning/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/common/pruning/clusterization.py,sha256=8BgySYgU_F_Ls4wh3aXWqJsT422uWzd3Jpk8NCAnuPY,5915
nncf/common/pruning/mask_propagation.py,sha256=64l-sXjRi7VZm3AoAohgs6Al8vVsFMe35XsjqIfqoWA,7885
nncf/common/pruning/model_analysis.py,sha256=EoX74y2GF37jZaDQoTTccM0VO70mLw2I_qLO3CKADX0,10404
nncf/common/pruning/node_selector.py,sha256=ObVGh15vbIxm3wMcxFPZjVdrCqXWhALubrdh_vW62rg,20043
nncf/common/pruning/operations.py,sha256=vbDVo0T4AFkuaXenTIboKCYO9bRwfAMRVvuc_ExL4Ec,15335
nncf/common/pruning/schedulers.py,sha256=DACpg2tLZaLNwStldwPk3EiRquSZHTkc-dIk-VItVg4,8398
nncf/common/pruning/shape_pruning_processor.py,sha256=6G3kz_qowWM9-XJ3v8yzQrqx9eZyVo_GO4Ptv-eHiiM,10562
nncf/common/pruning/statistics.py,sha256=839ceKfCFnTR9wgDsRP9OCioFM9wUkfKdqP7TRfSWAo,8338
nncf/common/pruning/structs.py,sha256=vJFZTRWyJiZjvhGCfF1bqnVrBGZzIaYzxYjWe7vysMc,845
nncf/common/pruning/symbolic_mask.py,sha256=UXz5dfOu9Zm48Wd5nbliMWFmJSrVfroohlCulKTbPp8,6328
nncf/common/pruning/tensor_processor.py,sha256=1EeFFfbI9lSCSyKDDCgJMx6UKaZ67aiz6V-FhUb4wLY,2976
nncf/common/pruning/utils.py,sha256=ZHApy2Q2k2TxvWtOO8fAt0b-iAcunAXSqLbILp-Bly0,16826
nncf/common/pruning/weights_flops_calculator.py,sha256=8wxiLSojdmzAh2ZbEPZIFybN8jWjnbAlNjbtMjYpdtc,8521
nncf/common/quantization/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/common/quantization/collectors.py,sha256=OQVdcVm-fWZ0eFehnCpbTVZO0oLlrmQ23tQMl2BEp7E,5092
nncf/common/quantization/config_assignment.py,sha256=qg_m4eG3HlXT11UuzsDjrCrNPvSPnZmZsW0a27jBCTY,6362
nncf/common/quantization/quantizer_setup.py,sha256=q_jDlb7uegu6TYAQP--H0blIPVUlnF3CgLw5qI8fsS8,23887
nncf/common/quantization/quantizers.py,sha256=EfWe_O9E3o5OTuwJ_jvv9uHQgc_Kfdgkw6dmulkLPk0,2588
nncf/common/quantization/statistics.py,sha256=hesd8Io4I_9sGLvrV7SNWXjws4sur-3NG38_gsi_AXY,7903
nncf/common/quantization/structs.py,sha256=ZX5wYOk2ftJb3WAiUlollReY4DrHf_GuYwHr9K42XBw,13137
nncf/common/quantization/initialization/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/common/quantization/initialization/range.py,sha256=nwvKQ-JYfbaBHWHlliulUgLrODA3ELcLWHKPXGFXOmI,7621
nncf/common/quantization/quantizer_propagation/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/common/quantization/quantizer_propagation/graph.py,sha256=tDdYwYTdaTj1FgHdceCznrZilFy6pA_5cchovhMj71I,75590
nncf/common/quantization/quantizer_propagation/grouping.py,sha256=gqNPjJKNKKKoOJFwb7Q5JJsNZevik4qaIU1a_Ll0EJM,7827
nncf/common/quantization/quantizer_propagation/solver.py,sha256=23nbui3mcOka7McTwGuht48VsJN4Wa9LL3gnzuR_rcc,87568
nncf/common/quantization/quantizer_propagation/structs.py,sha256=9qpcx_-6w7u7hOwO0fRrJRTNKZxgAQSKoHSzFOLBJIw,4483
nncf/common/quantization/quantizer_propagation/visualizer.py,sha256=rGhK4YgLJi2_z01csiRiXowR34tC_HZPqvkEOi5BuJA,1643
nncf/common/sparsity/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/common/sparsity/collector.py,sha256=hcct4eGiEHoMcnepMMbZmwSS8gcDZnhqpTZFDpkiKVs,4309
nncf/common/sparsity/controller.py,sha256=0olLY2dJMVdm8kXOVrxMKdxwHDKAAT2hboqtQ9V_QAI,1186
nncf/common/sparsity/schedulers.py,sha256=DZUzfBw5AyC5kLnsXGAevHKRXPogBWq3meX_RguJ7p4,13359
nncf/common/sparsity/statistics.py,sha256=xkHYHFEV7RcMLHLv__t9GaxZ0mmqCYjxIVK_NSq1VaQ,8034
nncf/common/tensor_statistics/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/common/tensor_statistics/aggregator.py,sha256=s5UUOOze33Ug-Ma04IV5-l67zhpSM6V1xXqxTajWSTo,4509
nncf/common/tensor_statistics/collectors.py,sha256=pvVs2FhXw30A6eBYLNRrL9-IDtB7jCIHBS5dzcYt-AA,16339
nncf/common/tensor_statistics/reduction.py,sha256=Dh4BEK9BZZuVdRUM9T29M6NRN6nKXb6F0VpFvYLwVLQ,2834
nncf/common/tensor_statistics/statistic_point.py,sha256=34DLZcMKWgLcZiyZUtyUKymGfiFkuGhFe51NiT6NykU,4247
nncf/common/tensor_statistics/statistics.py,sha256=6DTys_MagN7UaflMvwUCCFjpGWqV-8SvjBuFdpQzyDg,3335
nncf/common/utils/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/common/utils/backend.py,sha256=GCk8-cUGzzYWIH_5lfkQgVxUS8rzHob4L5exN1CPoIk,2860
nncf/common/utils/debug.py,sha256=PfDCdzEv-EBYQOXp6cKWYCTC43v_0ATI1OjjH3H0iQE,1072
nncf/common/utils/decorators.py,sha256=Vehx8lWUObcxydkkVqj41x_JjenrryDVfA3Y4VYdG8A,1987
nncf/common/utils/dot_file_rw.py,sha256=MrV-SuPv4Zelk0Odrjs3lX7gEFaX4fB6lUHIxWl_qYc,975
nncf/common/utils/helpers.py,sha256=gmSlleVfNGFcQb_u8QMqLxBGBWhhEYy0gyzBBEuYxo4,2369
nncf/common/utils/os.py,sha256=B6SpVSjTMd3dQKOxF4dzm993Zudv6ciD5MCw_NageVw,1159
nncf/common/utils/registry.py,sha256=MqYmKwMAkXtn0hIYKgwEA2eA0PCK3IN3BGPTjCJlZEk,1852
nncf/common/utils/tensorboard.py,sha256=bebNeinuPRsgfcpu9BlRD4bCd46W2TAamCJTT-XAeJc,3279
nncf/common/utils/logger/__init__.py,sha256=_R-utABw6aIgK8qWlAUhlAGuNDzoIaZkbKqcQVQloI8,1231
nncf/config/__init__.py,sha256=hO_ssBT3TF9Se-836vyuDAm3EAVRi7bVuNaZGmddcyg,621
nncf/config/config.py,sha256=EMul1ubYRj8DdlCIlxgFsyYRf92_bz81WHVUQmHVHPY,5880
nncf/config/definitions.py,sha256=uta-qivPYoZyYO0aco7xqQmGRgCPKp7bdyDrUcODSX4,2077
nncf/config/extractors.py,sha256=PbWRQUN07sfnjED3z_eIxet8kgdwkTs3q2tK2X3HFC4,9726
nncf/config/schema.py,sha256=67gG0kp-hhDlDXPkQvh72ka9zdvMBWyYkMj4RaHHFGc,10961
nncf/config/structures.py,sha256=Tqz-qRph_5Ui20fADqpBRNoxRO2r_ZKL7xjklSxziZg,3019
nncf/config/telemetry_extractors.py,sha256=yCzzG6wOgVX5AggmNPm7w8x2jRwTvM_FxsBOrVnOjwo,1079
nncf/config/utils.py,sha256=nguQf48ZI6qq7T_Rqr8srtF52i_uuU7PhS9bvHQU7y8,1244
nncf/config/schemata/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/config/schemata/accuracy_aware.py,sha256=B0Cyf78kfAGtmQVXCs5fq1R-87fWewlZhyp8KlUH7pE,7571
nncf/config/schemata/basic.py,sha256=XHsFeQZydP0Xk2bRnvo6IZNn9ocRj3bTbrNd3Cs-xt4,1976
nncf/config/schemata/defaults.py,sha256=gvfsLfcm_RKspGpW6pHzneZgVA-EAojDD7Ib3PwqnVI,2777
nncf/config/schemata/experimental_schema.py,sha256=-LYSBSPaQn1MbTno1Md1rcgonbp866JyAllXnj9asrg,20253
nncf/config/schemata/algo/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/config/schemata/algo/binarization.py,sha256=kDFsYzZd5xNelzynwQVl-cWPoPzC9jNYBm_RHm6MZ7k,2406
nncf/config/schemata/algo/const_sparsity.py,sha256=V8MxSW6R_RUkDKlvgMSNNq6vUOWNb6jW6gy6QLNW1Xs,1307
nncf/config/schemata/algo/filter_pruning.py,sha256=nZc92ryd2nQ-ufGtWKWVgg3fhzTFR9tZHtgTEvBaaAs,11690
nncf/config/schemata/algo/knowledge_distillation.py,sha256=vH7oFuAHh7b-GPH_mXcR5KWIOhNKCwsZ_x9P_Jks7Ck,2659
nncf/config/schemata/algo/magnitude_sparsity.py,sha256=c0TS1kYPnACExPKKHZPpCHJMBux2qAVp0TWIWOwC6Yg,3334
nncf/config/schemata/algo/quantization.py,sha256=ZhqDg-8O6e2m3bFpjqocnBnOa4TlWtV6Zj0IzLA4wzY,32683
nncf/config/schemata/algo/rb_sparsity.py,sha256=2OTI28Wr0pk2p54ysWZIIEp8_kHjO59JBsguwPtcYJk,2561
nncf/config/schemata/common/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/config/schemata/common/compression.py,sha256=7bBNVhGSCbRr7MzkIcdYINJT1x-bIYIt55msAi45vsc,1191
nncf/config/schemata/common/initialization.py,sha256=aWr-Vlh5P7yjzqrZkeCnGK4aHoggpkLiWbe5kJuV1GA,2178
nncf/config/schemata/common/sparsity.py,sha256=x_dq0AV4Swo482VH4s1ihorIPaFTGc_87xUX6GWro-I,7422
nncf/config/schemata/common/targeting.py,sha256=SGHagTi3RmAO9MmYQ-zHdIXlefkuwjfiT-ChJaX1cSE,2578
nncf/data/__init__.py,sha256=gjai-od7rhirfH4zCYYGrmLl_5jQ752eVw14PQj8aqA,617
nncf/data/dataset.py,sha256=vmkJiN5mwesEXpXXVJBUvrytOKjv1zBzfvhzWRrc2Mg,5557
nncf/experimental/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/openvino_native/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/openvino_native/engine.py,sha256=Emr-NXzCR3MxIRKM5anzmOdCxgWMfcTY9OJyALgU31M,2083
nncf/experimental/openvino_native/graph/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/openvino_native/graph/model_transformer.py,sha256=pg1IAposRtCcMgOglg0ZOb5Zw9xX3ykUs4FXa2aXxqs,5605
nncf/experimental/openvino_native/graph/nncf_graph_builder.py,sha256=Q3SlCrh3ckVKaouHK191bXX-eIx6fdU5fSwZ3NjcxYM,4657
nncf/experimental/openvino_native/graph/metatypes/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/openvino_native/graph/metatypes/openvino_metatypes.py,sha256=OHknqb88rh9S8zLf4B3OxCIixm_ZuJVhZH6qzrYdVcI,11650
nncf/experimental/openvino_native/quantization/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/openvino_native/quantization/algorithms/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/openvino_native/quantization/algorithms/min_max/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/tensorflow/__init__.py,sha256=zdmgAId5WmP21qx-XUSBVo-Nr3htKk8LDqO0f-CBVKg,682
nncf/experimental/tensorflow/context.py,sha256=bdf5h7TARmdY1fNEdA37bNBWlnTgl-AtHIdZs_v1_Kw,5931
nncf/experimental/tensorflow/nncf_network.py,sha256=OpcE0e9C7p4Uonsjg0m9598EqNmifxta7vClLgBKLaU,5734
nncf/experimental/tensorflow/patch_tf.py,sha256=6KztK7l4o5gdMJygTVzGJjfiC9aK1xhCvU2AROEnbl8,10492
nncf/experimental/tensorflow/scope.py,sha256=p5yTZugr54W2jpNmkeJlz0Pp5CqHuPPSc_0vCtboZyg,1787
nncf/experimental/tensorflow/graph/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/tensorflow/graph/argprovider.py,sha256=0z6oV9d_wF5JgwkTBD_deMAeFTYLm8-oW2Ge5In0Ux0,9340
nncf/experimental/tensorflow/graph/converter.py,sha256=B3iYhUICDpvecJ4Olt7KEirVGk-UcGD79jT6aiG6dBU,18105
nncf/experimental/tensorflow/graph/model_transformer.py,sha256=_gRK2w-c7vRJDdRu_Z0bhizIxAiYV25X82S80tVkgeQ,2306
nncf/experimental/tensorflow/graph/node_attributes.py,sha256=oDNLPhM82VRmwwrp6N6MtQAhzyBwUX8wf8rH2WzKKvs,2176
nncf/experimental/tensorflow/graph/transformations/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/tensorflow/graph/transformations/commands.py,sha256=Al7LguaD3dlC2daX_pRQee26XCIkHkRYBR35b4vqfJ8,3410
nncf/experimental/tensorflow/graph/transformations/layout.py,sha256=IqYfMsvMizuRGYFopT9FDsoM_0MHS1IZ717KcFHKrCY,2171
nncf/experimental/tensorflow/quantization/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/tensorflow/quantization/algorithm.py,sha256=hVRksMbdDQv5hTLRhav8hCuEvhJSrZ-sLPS36gOFpG8,17215
nncf/experimental/tensorflow/quantization/init_range.py,sha256=DEAGpAZZfQmHOPdwDSBo357cX4Z_QsFD53VQvrynPiY,5021
nncf/experimental/tensorflow/quantization/quantizers.py,sha256=UIwy-dVM1hv8MuG5opqw4H9fUIZLu2imfqKNqCv4vs0,5650
nncf/experimental/torch/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/torch/nas/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/torch/nas/bootstrapNAS/__init__.py,sha256=pK9_yjGwy1_XHU6_K0uFqrRR70-4moTByi6NBF8Q0GM,975
nncf/experimental/torch/nas/bootstrapNAS/elasticity/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/torch/nas/bootstrapNAS/elasticity/base_handler.py,sha256=uk8thye-gucKFiumi2z8YC7FCc7PQSGcTQH3WL3_KzE,9861
nncf/experimental/torch/nas/bootstrapNAS/elasticity/elastic_depth.py,sha256=JXpe87IPy_5wO073WHkjjRqG0qobQa4gsH474KFXesY,21882
nncf/experimental/torch/nas/bootstrapNAS/elasticity/elastic_kernel.py,sha256=C9uFstCdcpzInwoyQYmDcj0IgB8MR9ZvyAxb0nGosow,24097
nncf/experimental/torch/nas/bootstrapNAS/elasticity/elastic_width.py,sha256=L81gc6M_KKZm0tFyqSTOONRDR9_Df9GHO5Cug9T0z-A,55486
nncf/experimental/torch/nas/bootstrapNAS/elasticity/elasticity_builder.py,sha256=EAZRt4BtNXKYLn4SfThDz757pGGQfPaP914-MzNCQCo,8207
nncf/experimental/torch/nas/bootstrapNAS/elasticity/elasticity_controller.py,sha256=2ySu7XNC5cQfsnVqrOQE3qVftvKqM0XB1dMxa_nl-c0,4285
nncf/experimental/torch/nas/bootstrapNAS/elasticity/elasticity_dim.py,sha256=pvquI-xMtIyDKffivG8h8elJ6r_IRRSqKMlbXMspHUI,783
nncf/experimental/torch/nas/bootstrapNAS/elasticity/filter_reorder.py,sha256=g0uExdEmZVMorkG7IuV7XM3yK5i7NWyPz7_lNS8iLn0,2840
nncf/experimental/torch/nas/bootstrapNAS/elasticity/multi_elasticity_handler.py,sha256=HCHtPN_rKqIzScgAGPY8sYgY3oukpg5-WayDOgfb4Cw,14258
nncf/experimental/torch/nas/bootstrapNAS/elasticity/visualization.py,sha256=rN9RFWKZ9nxFnNBDXIxnVMWxwlbyTdYBaecOLSH4jrg,4345
nncf/experimental/torch/nas/bootstrapNAS/search/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/torch/nas/bootstrapNAS/search/evaluator.py,sha256=UVyi7Y2190nzJyVnpArIkexRwli3uIKadcIq7LzuCsw,8139
nncf/experimental/torch/nas/bootstrapNAS/search/evaluator_handler.py,sha256=if5P-QjiOaxnWiMDGUzIJdmp9ytA55-5YmqKkcnZTRQ,3566
nncf/experimental/torch/nas/bootstrapNAS/search/search.py,sha256=OBrWsyK6Is0dVVrCyHpVsMFNxEjVv7Yd8xtOKIw3rAU,22744
nncf/experimental/torch/nas/bootstrapNAS/training/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/torch/nas/bootstrapNAS/training/base_training.py,sha256=ct6aWPISH1AkA50EWrdfkDceXSykivy-Ft0bSPCZC4A,2826
nncf/experimental/torch/nas/bootstrapNAS/training/lr_scheduler.py,sha256=HL2aWH2PZrLyYRoUP5GSMvKZsTo-yANT285ItUqgnW8,8511
nncf/experimental/torch/nas/bootstrapNAS/training/model_creator_helpers.py,sha256=dng1LIoetCpkJaJ5LjRWbZ16ISOFfKmtHWs_gXmB8ng,5858
nncf/experimental/torch/nas/bootstrapNAS/training/progressive_shrinking_builder.py,sha256=TKMe3yImP0CObKiFJfbQqeJOy4iCrAYzoiMEp7YpWRw,7159
nncf/experimental/torch/nas/bootstrapNAS/training/progressive_shrinking_controller.py,sha256=PbI1glufSD_NiHfqj9S5SbKuJM2WFW9w3wVIABEfV2Y,10424
nncf/experimental/torch/nas/bootstrapNAS/training/scheduler.py,sha256=RqdKQvtnjEBjlMBAYcSA5RXzm8qdd25n8rdfR-ADQBI,13498
nncf/experimental/torch/nas/bootstrapNAS/training/stage_descriptor.py,sha256=S96fK_Ip_eJatLxcwru8VQhTPNC8qNRzXkjo5Bb6pmw,4589
nncf/experimental/torch/nas/bootstrapNAS/training/training_algorithm.py,sha256=Nu75q7kZK1VgSUql79izoLCdvUHj5uJs-sSKSAQx9Kg,13698
nncf/experimental/torch/search_building_blocks/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/torch/search_building_blocks/search_blocks.py,sha256=iVpX6GRuckG700LaobRrhBkJtu4yi7jRDYzhjwbLoZc,30953
nncf/experimental/torch/search_building_blocks/search_graph.py,sha256=qWREWgC2Y6nbzMamBpaBilFisSO8CVPN2afJoAaF-mw,16796
nncf/experimental/torch/sparsity/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/torch/sparsity/movement/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/experimental/torch/sparsity/movement/algo.py,sha256=hLANCCen8D6yDH6Elj6YsofcHHRGhBEI3Hzne3gqhnc,11129
nncf/experimental/torch/sparsity/movement/functions.py,sha256=2-8uxLTXMJ9bZR6FW-8IpfDsnbTHanEjnEkBZXO6bN0,1484
nncf/experimental/torch/sparsity/movement/layers.py,sha256=1LUe00JZ6h-X2DMUUSS7VQnZpeToHH-2XJ2yx8pg2h4,14896
nncf/experimental/torch/sparsity/movement/loss.py,sha256=gXfUHn7ujJa4G5OlxC70GGeP0aYeui46TL4-nx5h2Wo,1767
nncf/experimental/torch/sparsity/movement/scheduler.py,sha256=XCWb3pp3Bwl3V6tpXDapr15KGLzC5UXiGWWDmL60sv0,16672
nncf/experimental/torch/sparsity/movement/structured_mask_handler.py,sha256=OVn96QyhnhqA9kDoFhFfGJwXKdCgt5MtS7TCaco9no8,21024
nncf/experimental/torch/sparsity/movement/structured_mask_strategy.py,sha256=zBajuTtoy_guhEmwg8Cu2eWcJxPFyxBE4e3VYJJd8JU,8159
nncf/onnx/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/onnx/engine.py,sha256=tOPbUAZdJzRZupX_6aTFvLuA78ayPOMHeJVEcohCvpg,1757
nncf/onnx/tensor.py,sha256=A-Ggyvz3ZXCxxzEGMPeQuxZB6JL_4Ec9MV6G3iQX8XE,899
nncf/onnx/graph/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/onnx/graph/model_transformer.py,sha256=jvj-zXPWvgri-ZA8hvTcL2P75cJPabPQ8BwWBq1dIz0,19768
nncf/onnx/graph/nncf_graph_builder.py,sha256=niVNhKNQpyGQyAlbWuPjgqAN1icAdwSaIKhg8ROJ8HU,12433
nncf/onnx/graph/onnx_graph.py,sha256=RSh3Ebx0_oGbJJ34Pn4YMa0PHJNaQCCcVJusj9a8b2Y,21158
nncf/onnx/graph/metatypes/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/onnx/graph/metatypes/onnx_metatypes.py,sha256=UF8kiMKJ-OpRn-H2vCxYnU0FDh3eoI-BD9ew0zwIaMI,14732
nncf/onnx/graph/transformations/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/onnx/graph/transformations/commands.py,sha256=3bAs2exa9cZoa6B5K3Dew1IZcSsuJjAWEXrtLvyNjnE,5366
nncf/onnx/hardware/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/onnx/hardware/config.py,sha256=d9TSiagqzJaGD_a7Eva543dDxBJyGEh4oFdg3pfu_uY,966
nncf/onnx/hardware/fused_patterns.py,sha256=R3PLyGqIj8Xw3jFHsK23471yUY9uVHJreg7IWtd2Spw,3444
nncf/onnx/hardware/pattern_operations.py,sha256=xn9E-9FKdAMsq8KjHiq0JEcZ049WHbf8jPm7G-mtxWQ,4291
nncf/onnx/hardware/patterns.py,sha256=6A55iDM57EUhBTSCJjmdbULKihdizYyLSDF5s2GrHYk,6636
nncf/onnx/quantization/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/onnx/quantization/default_quantization.py,sha256=fCgchtuf7B6Ue_B3PnULkovRPkIOuNPfh4Iemik8_HE,3183
nncf/onnx/quantization/quantize.py,sha256=YypczsPsdLezcCX5nPF5UUR8IjSk6ZrCE0JKqWiL82E,2830
nncf/onnx/quantization/quantizer_parameters.py,sha256=G_8x9atXOcy-g3KGhSqID_-9SGdM4GlKbBxpHYigMbc,6735
nncf/onnx/statistics/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/onnx/statistics/aggregator.py,sha256=Um_zZ4roW8u1Nq5HTjeITy9UoexgoZnLY7XW3pQ-3dQ,3959
nncf/onnx/statistics/collectors.py,sha256=8mrE_oOmDGuNWIg_e4KnNyNSbltl2gt4BdWrPWjUdd0,5045
nncf/onnx/statistics/statistics.py,sha256=vHzZNxeSZyZ_oetTc7r4Zt6CRR_FzBmmaYP3NGAdCkc,1395
nncf/openvino/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/openvino/engine.py,sha256=A816mc9rYECV59kyyL5ESgPS6H3YrAe_FKYRGjT2b9g,7874
nncf/openvino/quantization/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/openvino/quantization/accuracy_aware.py,sha256=9J40irfQAWsFqV0JFXe3ExUbpfOJHWdrTzaClBr-OI0,3658
nncf/openvino/quantization/quantize.py,sha256=n00MAJdsqPWZF9kXN0C5RCdlr0sW2JAjeyAiMa1Rv6I,8347
nncf/quantization/__init__.py,sha256=s1coKSkxv5wI8qe7rdZcF-SJ9lWS8HdIvvZovXymPZ0,761
nncf/quantization/quantize.py,sha256=bhKvpi4fn1JRbATaAZxMqf5l2MwQMgctJ2QOVtDQH9A,7084
nncf/quantization/telemetry_extractors.py,sha256=65cMA06NW4Dl3kr0_RLXSFK1NdEZPeNDeSiwIDLFqPg,934
nncf/quantization/algorithms/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/quantization/algorithms/algorithm.py,sha256=A9kQJQbIM9mrj30JR6cnGXr3aN43nwnnmu2RaF2WLbg,2738
nncf/quantization/algorithms/definitions.py,sha256=1UCbEl7tUsDXLhWwE6QaBqi_T-2ALL_LSF6Y6nY8o30,767
nncf/quantization/algorithms/bias_correction/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/quantization/algorithms/bias_correction/algorithm.py,sha256=z_UZ1qVX60yUBqxUZIzMgT3W97VmjDco4SfcNkpScmo,27465
nncf/quantization/algorithms/bias_correction/backend.py,sha256=fqPzizjt_ve1jbA8arvaS6SPbSfHuRVANzNO7RCZHys,8254
nncf/quantization/algorithms/bias_correction/onnx_backend.py,sha256=DRgY4d0fAZvoyW35sPisf3YAVxpMH8Ez8qgSdar_-vU,9259
nncf/quantization/algorithms/fast_bias_correction/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/quantization/algorithms/fast_bias_correction/algorithm.py,sha256=bbrqkx223-XgZDpMHLyp8nxpfdwhQRtd0MM1gGXEMdY,15908
nncf/quantization/algorithms/fast_bias_correction/backend.py,sha256=Os8wOVvkbGHWG-AFAdPlV2bpAC3lf99at65Cl0f2haE,7361
nncf/quantization/algorithms/fast_bias_correction/onnx_backend.py,sha256=-2AsTbmkcHAS7440SV9X9ku6kosot6DXy0XtqK-LESs,6471
nncf/quantization/algorithms/min_max/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/quantization/algorithms/min_max/algorithm.py,sha256=7fkqNa75qsurywkrTVNnBw745o9ul-VClQCmq8fcTPM,25542
nncf/quantization/algorithms/min_max/backend.py,sha256=1ez3tchpOHLRqqKHW8xQAXMy9WiVPqZzKDtyd8I6Aoc,7598
nncf/quantization/algorithms/min_max/onnx_backend.py,sha256=LSmpru14wB5a5glTHpn-FzvtxxJL7UVc1ruZsaMFROQ,6671
nncf/quantization/algorithms/post_training/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/quantization/algorithms/post_training/algorithm.py,sha256=8wbv2QdJxBSNna1nSd1GvjNsZrzPxTzyzOrFvsv8qCg,9299
nncf/telemetry/__init__.py,sha256=V0at8FPItAcFYG-EZtwRzY36TipjtwSPvN2BRkk6BWg,736
nncf/telemetry/decorator.py,sha256=51y2k1nwIEj04ZGEe_yvO2hEIAOLpd0u0o7i2wE3Ifs,3649
nncf/telemetry/events.py,sha256=XY2AxtkdXP3exN3QDHIKx61NcCVRqSdZaBWrajrV37c,1349
nncf/telemetry/extractors.py,sha256=7YaxmfyI3jH4WyUuqXjTeTQPVzcFeoIx3QzlZWfTzoY,2101
nncf/telemetry/wrapper.py,sha256=TXS48jckxujTY_K-xRAIC0qRAqfblHsEkmxk6mjBApE,4225
nncf/tensorflow/__init__.py,sha256=UISalqkqHN51IAhrEtUiyEPfHLPjxJuhyLHUpgKULmQ,2010
nncf/tensorflow/algorithm_selector.py,sha256=U3f8W1fwNWO6LXna2tt8NZsqeGeQpWAUWWCWTkj1Hcw,2666
nncf/tensorflow/batchnorm_adaptation.py,sha256=tuGBKFlAorfvMs4LKpaQzhlf2mJmzfR1bozJj68tqC4,2832
nncf/tensorflow/exporter.py,sha256=JpW7uFTPymqLRTl5HXf6mfXS7Y0Bn0IJkhx5N-Solzg,3926
nncf/tensorflow/functions.py,sha256=7oSVN5aSJH3QljeUraXQM5pUeNpyHcp6CjeHfX3r0G0,798
nncf/tensorflow/initialization.py,sha256=ynbfnVhm8oR43UHUMZ3sh4PbM39ZM2AxkDdgD27yFDU,2461
nncf/tensorflow/loss.py,sha256=WtreqxWGjWlchwABqtn6YXw_hIItoAiWNYYb6qfFuqM,944
nncf/tensorflow/tensor.py,sha256=_Ijbz1Oe_J-IVbPuXzXMx8odPF8u8wRStD6H1-lksHs,1084
nncf/tensorflow/tf_internals.py,sha256=2UI_JOjMGQHHpea1QsR33cG71z_m6wWuK-HYP20e-sA,1495
nncf/tensorflow/accuracy_aware_training/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/tensorflow/accuracy_aware_training/keras_model_utils.py,sha256=PqXLZZF-wwAB6rV6_kJONvYD13FcaB2iWJ6GDF4kXtU,5099
nncf/tensorflow/accuracy_aware_training/runner.py,sha256=Zx4tPdlobz4I5OiE-kq1PIL2bFTvTDfrsOT3728jF0M,5518
nncf/tensorflow/api/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/tensorflow/api/composite_compression.py,sha256=8absDBPIHhM_S09u80KlWQgn20ABr-qr8MiRVzntbA0,2548
nncf/tensorflow/api/compression.py,sha256=jdypn2Fz8NuKucVXW8EEb-nCk7gg1SZEnIEMGEzFLF4,2855
nncf/tensorflow/callbacks/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/tensorflow/callbacks/checkpoint_callback.py,sha256=AFkzcWC9sr2BYe96tOVss3i4iruevMLWSkM02Kp0jas,2884
nncf/tensorflow/callbacks/statistics_callback.py,sha256=h1wP5TGi1sDmxKWInKWDEXyxO3FaX9qfksFeSJyleU4,3204
nncf/tensorflow/graph/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/tensorflow/graph/converter.py,sha256=wOoQcWT0BZHn-_6XKobJ2uovWpc76YpdpBQckfgVCcM,39653
nncf/tensorflow/graph/model_transformer.py,sha256=CcsCYpuVpMCahEWipSzTxI1H8UWPhQF2nswCzNCqCCE,24655
nncf/tensorflow/graph/pattern_operations.py,sha256=GCyReQs-hzFYuQWP6IVi1xXqAMmveEOuzqlIme5sW3A,3742
nncf/tensorflow/graph/patterns.py,sha256=hfsXVD7sRQMxNN7WB86lQpYgtrVLqQqRpoKtFDdAayY,5378
nncf/tensorflow/graph/utils.py,sha256=1vmkWYCwiAOflUWgt48PndOzk0cbE65XI-sm4XM_sDo,9120
nncf/tensorflow/graph/metatypes/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/tensorflow/graph/metatypes/common.py,sha256=6wLqlZBmngz_bCNfyL8XWKGy0zre86CTn-c2Q2DNxTw,6934
nncf/tensorflow/graph/metatypes/keras_layers.py,sha256=6n_9IkELOwP8r7mhhKa_QM_oU-Slj_iBaVze9BOLlfE,22086
nncf/tensorflow/graph/metatypes/matcher.py,sha256=VKauhwnS7ytPQ6Amvc-urKZ3DyIn2g3sq87IDZAc8kg,2723
nncf/tensorflow/graph/metatypes/tf_ops.py,sha256=r7r-L2jMNwnzHMvgCrKAd7oM987I1hqNA33sWEH6fMY,11644
nncf/tensorflow/graph/transformations/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/tensorflow/graph/transformations/commands.py,sha256=IZ-UCRNdEbnoee7baDr44iWxkfa2YRpVo0g8TF3o3qc,17405
nncf/tensorflow/graph/transformations/layout.py,sha256=vHwsUoy3ELuurX6npWfpW8-7dP2VJQ_2xQaimXJaM-8,6007
nncf/tensorflow/hardware/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/tensorflow/hardware/config.py,sha256=djVpTlAA0vvO4k_BVWKqfRgBYP3Rec_Q7x3eOypfCGU,962
nncf/tensorflow/hardware/fused_patterns.py,sha256=yeOjI1SyB0BO6InO8cP16WXk0N7nlNK3uBPB-dwr04c,3455
nncf/tensorflow/helpers/__init__.py,sha256=a7L-Bnd9aIroUbAtvJFrbkXAQ5pJml1WRPyrp4ZtcAA,654
nncf/tensorflow/helpers/callback_creation.py,sha256=Dr-NI9CLJY98N2YLPGDFAbr6gml0l8bC4hOdzHQ6LTg,2097
nncf/tensorflow/helpers/model_creation.py,sha256=sM76ysWjN_bPWkW5RxIiTH6TPpH4Rsxm2KDoKM_KOgs,6317
nncf/tensorflow/helpers/model_manager.py,sha256=2OrWQXFgRWw4KHmO-d37kfQlZ-3wNfAb_WFuk1mx-7I,2453
nncf/tensorflow/helpers/utils.py,sha256=NcsEJUJBUVJoaKiWKFGFv0kk0vTQTZiTC841-hKOH-w,1079
nncf/tensorflow/layers/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/tensorflow/layers/custom_objects.py,sha256=zo6lPjSbC-7Gr_vyfLHGUQn9rkHeAjmB7zBnialj5G4,832
nncf/tensorflow/layers/data_layout.py,sha256=RhfexK4WwcfPUAZoPn6BW6Wg6LM2q23HHmdNh4_Ss3o,2672
nncf/tensorflow/layers/operation.py,sha256=9FAOaAm1wr0ASh7xkd3GykmPFekpV7TCp4dXkfw2uq4,3516
nncf/tensorflow/layers/wrapper.py,sha256=1ot0o92izqe_Q9kYLD6wIJV6QHvcar_piQwWpL_Fdgk,10959
nncf/tensorflow/pruning/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/tensorflow/pruning/base_algorithm.py,sha256=dWKzE0XolbkykGTypcQNGTFLELxiRUSOZcZy500hWEU,17116
nncf/tensorflow/pruning/callbacks.py,sha256=FhhhFyyiXFHuy3tvGMUPTPBuAz4pCBs1Ww8KJJP_T9M,1719
nncf/tensorflow/pruning/operations.py,sha256=suUwGNVlJE4oJCD7tZ5XgWxaV51F56LXcZXlXbcU5P0,4939
nncf/tensorflow/pruning/tensor_processor.py,sha256=iCwOyNk5bhfpLScidbh032K0h_mzCH2OV6tccIG-DVk,2246
nncf/tensorflow/pruning/utils.py,sha256=paFN7lxNF_g4MnF13remr9T4gd-wjgkXroL_cIikTTQ,4827
nncf/tensorflow/pruning/filter_pruning/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/tensorflow/pruning/filter_pruning/algorithm.py,sha256=wXx-S-OdfA59lyPnEIbBJkIpgAHiIEXNamLCxt0VJJ4,27177
nncf/tensorflow/pruning/filter_pruning/functions.py,sha256=TGa6Mv3PRfqFrDt7C3TU6NY8PNEo-NKw0rI9yek1yPA,2516
nncf/tensorflow/quantization/__init__.py,sha256=7CeQ3neBcySLcp67ehGlhbUmP1uQCGZOByFhVO1Dij8,826
nncf/tensorflow/quantization/algorithm.py,sha256=hPY0o7ITAPV6bOqhKvgESrzZD7AqWng3aZAfWdqMLd8,36049
nncf/tensorflow/quantization/collectors.py,sha256=tWBi4juwT8PoaSqUue0vffgXa5GZl8TryH4TeBv4gEI,3452
nncf/tensorflow/quantization/default_quantization.py,sha256=Lad1p5o_14dWijUtZ3yoWGoFusvJ_qyY8VB9ZeqFwMk,3328
nncf/tensorflow/quantization/functions.py,sha256=FC1p7mOTcSTcAx4DWdbvGgfEp1jsP5SIGs4E2BiLtq0,2255
nncf/tensorflow/quantization/init_range.py,sha256=CC28xR4Os1h0IaZKBl_wV1vkVaOamuy31Y0QLN7js3U,12296
nncf/tensorflow/quantization/layers.py,sha256=2gO-9iXWbph1KlYKJnFUYWD0Mx5sizhVCNFSkuPcWDk,4248
nncf/tensorflow/quantization/quantize.py,sha256=XT7bEdeDhgQEr4YANm8PMtmnXRVjfjPrFGk7MulR2zI,4526
nncf/tensorflow/quantization/quantizers.py,sha256=kaFR4LMc9EPT7lFJxCITOgkwd7BLhiQIgNJYKfw6jxE,21047
nncf/tensorflow/quantization/utils.py,sha256=M1K1STY_aiXSFo3iV6g9bHeRyRWoIsf0QEaU9Sg729w,2448
nncf/tensorflow/sparsity/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/tensorflow/sparsity/base_algorithm.py,sha256=c5VnCggG1bmh-6TIy6U0l1uxretwfVkqJapSs9e83Yo,2298
nncf/tensorflow/sparsity/callbacks.py,sha256=7wYKWloVXwn15nYTfyNdlVartJEGzVtH3TI2CMmUs-s,2097
nncf/tensorflow/sparsity/collector.py,sha256=pN4tdJw1go9wJdcHCZD-MDAyC2-xsSmXLmffeZwssbA,3558
nncf/tensorflow/sparsity/utils.py,sha256=IKi9jP1kdOIaZbmyBpVol_KDAdq43GlwX36VkzlZZfY,2212
nncf/tensorflow/sparsity/magnitude/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/tensorflow/sparsity/magnitude/algorithm.py,sha256=eT9K_xMb-MV-U72rob8xcp1tfkokux-i9Yxio7XxR20,12847
nncf/tensorflow/sparsity/magnitude/functions.py,sha256=Md0ZGRq9wIpxSwu-vkEwvzmJJKu-d7RB55-mhU1WCDc,1036
nncf/tensorflow/sparsity/magnitude/operation.py,sha256=X__pv5BDTT8jy9s_LsDJPJ_8RDjmGnf5qUVP-pLQMXE,3021
nncf/tensorflow/sparsity/rb/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/tensorflow/sparsity/rb/algorithm.py,sha256=Y4E5AbGTZ4aThCWGX5L5PAXaRKKanD0mw3xPrdsD-7k,8253
nncf/tensorflow/sparsity/rb/functions.py,sha256=BkCRAfWuRConIdCP4QfTXIQps1kmbDV_KUu8Oa7ESVI,1036
nncf/tensorflow/sparsity/rb/loss.py,sha256=UzwdnOGcGdSIiKINmTF_xp1vaL30suuO7u4he6xDrEA,2855
nncf/tensorflow/sparsity/rb/operation.py,sha256=6s5iTiBJ8BS0Omw8QHO87T52sTBIcrsxbcPsE_RHF_8,5373
nncf/tensorflow/tensor_statistics/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/tensorflow/tensor_statistics/collectors.py,sha256=rDFPRKM1M7RhwfEDJ7mngnmgJmc38oFEGHNqEu4qObU,6800
nncf/tensorflow/tensor_statistics/reduction.py,sha256=maU6ZtRjeet10RsZOYCkylCj-WJ2fxl_C_DNaMFp8fg,2555
nncf/tensorflow/tensor_statistics/statistics.py,sha256=Zz8iYZCzzauGL-da1GEARPmZc6u8ykydnDpLMXU3LmM,2774
nncf/tensorflow/utils/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/tensorflow/utils/hook_handle.py,sha256=gMc_YuZzf6ahLd407v7AApDPycs600EE7SOJCGEHK8Y,1046
nncf/tensorflow/utils/node.py,sha256=zt7RDQwVXMueqMTvbQ15bpqut1rgmPhU_-DBCBMZQFU,972
nncf/tensorflow/utils/scopes_handle.py,sha256=B6QyNuP8a8mcZYLu3l_fggKWDqcGa0TazYcCOf-Ykh8,950
nncf/tensorflow/utils/state.py,sha256=cqYX-dI2VnMuk-biiNc8_EEuoCqJxn-rgipNS71NRjA,2837
nncf/torch/__init__.py,sha256=fP-NacWQaRUzu5Ohnv5UzO062lhq13ldFCrkw7L1rbs,2713
nncf/torch/algo_selector.py,sha256=NignAmv1HBlJceNq7VxvHvnUFjzn6xx-C1IHS-JPbTY,3259
nncf/torch/batchnorm_adaptation.py,sha256=lqpDPugJsDGyOHDeA_m12IJUmXsXR3AsfrjfYo4z_Xw,1275
nncf/torch/checkpoint_loading.py,sha256=SQwW_u9lbQWlCCGSwi4x5k_VAOBt4qFlu3pVe5-Nd_4,23743
nncf/torch/composite_compression.py,sha256=67hx-dQj-yH1XnLiC2D64722B-4bj6i34y19UfQTT3s,5667
nncf/torch/compression_method_api.py,sha256=OE_napl4v3itRkWVRpLivLU8721k_NNHQ0yu8AWnnT0,9765
nncf/torch/debug.py,sha256=X3X9YSvbFkzrWG0mOvzwU1sVxjs3Al-pvacRuqq9W6g,3165
nncf/torch/exporter.py,sha256=oi7cojgKyNNTx0JZhqNwUcZRsidgal1xbcE53jDHNEc,7601
nncf/torch/functions.py,sha256=6i88pl7V8FuVWOaiOfYW_Lh1a1cWMNyjsQ4ecWuerls,1463
nncf/torch/initialization.py,sha256=nnrA_rwL0NFjeWGGkODfYy2FWhjbs2bZRsmpkLhEu7U,12062
nncf/torch/layer_utils.py,sha256=GkYzQgIJbdgCSdOBwRm2rL6L6uIoApt-pjK0RIhH9CE,3676
nncf/torch/layers.py,sha256=yeZE_pFnBT1tHSrOz2_fGmqIwqUf5Y74hXjzhekpRPQ,34981
nncf/torch/model_creation.py,sha256=VQpwiAl2clQkY-BA6kxs8wW7TlO2ANRROloRJWMbVp8,15456
nncf/torch/module_operations.py,sha256=FJcu-3qlscgp9ZPrOijs4fxqp6X3J41f8cOqiTTCNaQ,5234
nncf/torch/nested_objects_traversal.py,sha256=iYrsYHBiGe-HUwytPp5x3Y-sxVxE50NBkVa5hhbwP8Y,7385
nncf/torch/nncf_network.py,sha256=EfOBfUX0E7vIVA9YtCGbL5uquoBZv78aXnCAZ7ThJ3I,36828
nncf/torch/structures.py,sha256=fUWioDxMFw_ABOdub0-WrHhgXwsQhzLjgm355yfekDk,7668
nncf/torch/tensor.py,sha256=6qz_VdJVgw2H2tOUOHH3S6OZr8uP3tbZnOq2ixsxnhQ,1074
nncf/torch/utils.py,sha256=BVHT9NcUld-uc9SxVTV22M9mwhmSL6WjzefQj4Ap5fc,15231
nncf/torch/accuracy_aware_training/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/torch/accuracy_aware_training/runner.py,sha256=MqpPdZimfZS2BKldRKdI_8sTmcyn4LPX4J_-bylFpvg,7811
nncf/torch/accuracy_aware_training/utils.py,sha256=ay_TWIOhi0oG1eckBDj6gcya0JNOPgcJJXS7YXNAmWQ,938
nncf/torch/binarization/__init__.py,sha256=hcmyhA-6-z1Cr7MjT5Yfm2xavoo3dcJadSJXLsXEBmw,583
nncf/torch/binarization/algo.py,sha256=uLiLMa6GwcDKzU91X12w-1Kg57j_tGfyajO95eyD-7U,9576
nncf/torch/binarization/binarize_functions.py,sha256=r6be2Bk5mOT35yGfkWHhNL6aL_Purha8NHHLJXGMTVk,7600
nncf/torch/binarization/extensions.py,sha256=sBruhNOlc6QEgGg_oVMit6_xFxBBJrTZniE6Q96qUMY,3812
nncf/torch/binarization/layers.py,sha256=x5MSQKJsCDgqIMjRaxKhVzOVaLk7ZgKZWFCcWp-7ULw,4669
nncf/torch/binarization/reference.py,sha256=sGEXn21S6E_zsncPy3u8U30UfhCjMAvzEKHiBDy8QAc,3586
nncf/torch/dynamic_graph/__init__.py,sha256=hcmyhA-6-z1Cr7MjT5Yfm2xavoo3dcJadSJXLsXEBmw,583
nncf/torch/dynamic_graph/context.py,sha256=AXZbjKRhyihbGBDmG09aibHlFnugK2S_LglgeCHb2kA,16002
nncf/torch/dynamic_graph/graph.py,sha256=14ZP_otwvYIMhOvQjvUeQBfqyAp0AVUFdLKHCmbQv70,30658
nncf/torch/dynamic_graph/graph_tracer.py,sha256=m6nfduC-bziKH_sNDCWUXvw9PtpFrMLFtTPIjXQe2RY,6516
nncf/torch/dynamic_graph/io_handling.py,sha256=uHErtNtqlA1kwK73wX71pCaIsDWKfPuNbxP4WhK61o8,6216
nncf/torch/dynamic_graph/op_input_processing.py,sha256=Xwcn07qMrkgGeTWQaF_thtcg7hRbb1_ieKJjwBX_DJE,1839
nncf/torch/dynamic_graph/operation_address.py,sha256=wiBlGmq7JM_m_SO2WC7M7zpX-6XYJwSJeUDoa9ibnnE,1715
nncf/torch/dynamic_graph/patch_pytorch.py,sha256=iRB-N8Z92W6J53pm7Cr290UORVQ2cczLvVLCHmk73aU,11509
nncf/torch/dynamic_graph/scope.py,sha256=SVIt2MOQSSH8-9Chnf1NGi3jq2nT82Z3ib5EoFyKGgA,3816
nncf/torch/dynamic_graph/trace_functions.py,sha256=oebCKACm2VB7FAfD41oOHGNrV9kEVl_Q1CWpMrYIvbs,3798
nncf/torch/dynamic_graph/trace_tensor.py,sha256=t1O4qZ1zidE1ko4RLDg9FFd9YlvKTk7DqJdEub5_Sj8,5098
nncf/torch/dynamic_graph/transform_graph.py,sha256=w8lFi8QuJZclYvkJ68wkpDGbtmUBj8X4aWJqyW9QCv4,9938
nncf/torch/dynamic_graph/wrappers.py,sha256=-rDfJFB4PagkP-7mJtnje1q6J45Xzo6ud_3UyeoM1ts,12186
nncf/torch/extensions/__init__.py,sha256=uW2Rl-s5Gyvvk3ebAzkxWHOn5x7Qpkm1SHnd8OsEOZg,2786
nncf/torch/extensions/include/common_cpu_funcs.h,sha256=SGtbTLJD-gFBAREmdMAJ4UC9cXiBZ8emGMxbKLyyw0Q,242
nncf/torch/extensions/include/common_cuda_defs.cuh,sha256=ZqZagXJql8y6l2ncFP4WB5QfCspjLSpdxUq253usF9o,3822
nncf/torch/extensions/include/common_cuda_funcs.cuh,sha256=kbSks--7dQDIZuB8FxxTiZkRePCCcRVl83ilBBVoO6Q,3891
nncf/torch/extensions/include/common_defs.h,sha256=fuUP4b63gVju4lMziAc07ljXEASxdp2L0k2TCtoqc3w,311
nncf/torch/extensions/include/binarization/functions_cuda_impl.h,sha256=HKEAZPkv6ELBqahsjYXdclTbBKuhHuisC5F0gt40nA4,488
nncf/torch/extensions/include/quantization/functions_cuda_impl.h,sha256=_3brb-M96YxhUBJQtTOvqhEn93J9-N9Ak0kE8vCY23M,507
nncf/torch/extensions/src/binarization/cpu/functions_cpu.cpp,sha256=Y99-97WK-3Vf_-Vo4nKlGYqXxlujvPWFsnnXKLQhnho,3785
nncf/torch/extensions/src/binarization/cuda/functions_cuda.cpp,sha256=Ps8rsR4AKAVT8vCzDczSM9nwei7DZ9GAK1OG_Gj8_ho,1469
nncf/torch/extensions/src/binarization/cuda/functions_cuda_impl.cu,sha256=SnB5vu2yewclE8yp41Z5rGJsZ0mU23BUlNyxwujnrwI,13042
nncf/torch/extensions/src/common/cpu/tensor_funcs.cpp,sha256=wOUwxfYV-lYtthLKA6cDRN6bs1PHGUKVidP8YbwR7Bk,870
nncf/torch/extensions/src/quantization/cpu/functions_cpu.cpp,sha256=gO11sXLen8HUKkdpJkyG6oLHUsa1_giCh4kyTSJBWNo,3723
nncf/torch/extensions/src/quantization/cuda/functions_cuda.cpp,sha256=ySNZr_kZv4TkR1A1wE2faraTIhIu1Jh3nUogsJWKc6A,1072
nncf/torch/extensions/src/quantization/cuda/functions_cuda_impl.cu,sha256=GqeeDFzEzVtn1jckVmDJO1IzQNt2ckGHtx7AbyX6HoU,23467
nncf/torch/graph/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/torch/graph/graph.py,sha256=BGwx7sdos2m-YkzqdSQ96uVqqKmBc3JSL-kquppcf1w,3401
nncf/torch/graph/graph_builder.py,sha256=wb-B1vjhIH9yBc1LZa4Qx-SVpyNY3PcyzsK2FEr_SZE,7219
nncf/torch/graph/operator_metatypes.py,sha256=TyMRoInDkOHoOiGEMq3oBQZXibes4bwt3bI-cjbTbW8,29152
nncf/torch/graph/pattern_operations.py,sha256=shCISMZM04bnKBVrydw7gK7Cd_dfWlz80c8-xY70jis,3428
nncf/torch/graph/patterns.py,sha256=nzVvU5PPsmbQ8T6KKdVeWTPOae36WMsQcvydkh3Q1fQ,6410
nncf/torch/graph/transformations/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/torch/graph/transformations/commands.py,sha256=DzUQlvqWSGUPno4UF5HF_EwGX5RRdoqlssUsHbjn0x0,3743
nncf/torch/graph/transformations/layout.py,sha256=_bf5RwBDMtx_OdahmBzXI5KHnD_MNasLhW7-6E-Gnt0,137
nncf/torch/hardware/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/torch/hardware/config.py,sha256=vLf6owFQw5b5UTQLTSyjHSWaQ1EwRj2_VoJBcMlfcdc,959
nncf/torch/hardware/fused_patterns.py,sha256=FRgHKqJuy1RzTGPOXEyareD6HieZEDTc4bTi8ZtaIQk,2843
nncf/torch/knowledge_distillation/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/torch/knowledge_distillation/algo.py,sha256=j79JhfY9Ff5kKsB066Xp3Qp98XGDrtcovVs-jhEw6-k,3952
nncf/torch/knowledge_distillation/knowledge_distillation_handler.py,sha256=s1qSmD_kDcjLT1IRXcAbnWqScBEXdiMS6SQTrKiBR8M,3164
nncf/torch/knowledge_distillation/knowledge_distillation_loss.py,sha256=9RQf5n4tthCKBox7n6Weg9BitV50tpaBkyen04aWfx0,6447
nncf/torch/pruning/__init__.py,sha256=hcmyhA-6-z1Cr7MjT5Yfm2xavoo3dcJadSJXLsXEBmw,583
nncf/torch/pruning/base_algo.py,sha256=7WdwTrnHrbyfksK1MS6tpQI5pz-bE09_XHXbixrkjkM,13480
nncf/torch/pruning/export_utils.py,sha256=g--g_LqucCT6yIFekDtASTOglG-xE30rCh0jTDngmRY,1144
nncf/torch/pruning/operations.py,sha256=v1WC8i-q-kiySFlpKURZBP1HYm3OfaOgSZDwuZKbjNU,20380
nncf/torch/pruning/structs.py,sha256=IlY7KvxymKdvfxiWGjfaYwSONcfHdEIW2IEqbF1NUCA,1250
nncf/torch/pruning/tensor_processor.py,sha256=6mwtd4XBPbjzlD7nYQDHqzTLWbu87jyBJ7Hpl1ncX9w,2157
nncf/torch/pruning/utils.py,sha256=9KtLdJwl9TZ-Ji5UuWeO0OlD1gSeAT8rXcyT9ndQUY0,4873
nncf/torch/pruning/filter_pruning/__init__.py,sha256=RietXNO5QIbnnbG7HsItuxw_GxZpnK2D1HuhnzaIrMc,578
nncf/torch/pruning/filter_pruning/algo.py,sha256=Yvxz0iFuoF50ujqgbYDS3mwrijr9_MAJZcg88zU4FPw,33867
nncf/torch/pruning/filter_pruning/functions.py,sha256=aXRzfJZDZ3U02x9HWHojKXbY-AhyUMJ0HkVKxA_BabU,2107
nncf/torch/pruning/filter_pruning/layers.py,sha256=lBLajtBnEZW1gYzAojscuDeEfjlxrfgMrdDlzEkZeaI,3672
nncf/torch/pruning/filter_pruning/global_ranking/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nncf/torch/pruning/filter_pruning/global_ranking/evolutionary_optimization.py,sha256=_CWtergGhd_xomE6m2SY-1QbGnLPFHn7b1Y7xZwhdM8,14122
nncf/torch/pruning/filter_pruning/global_ranking/legr.py,sha256=-kMCldUoeoTUELA1pn50EHt_3ZGzae9f1JWjGIZSXaw,5237
nncf/torch/quantization/__init__.py,sha256=3e9BZrd8Wu2bZwQeqK9BOzL8kSvJShD6JduAyd0CC58,669
nncf/torch/quantization/adjust_padding.py,sha256=QwfFy_i-93xo9qZlcZMZuRT6ir2g2M_avL06hb27oLs,3937
nncf/torch/quantization/algo.py,sha256=6MV31X1CauFa-xfew7N_d_jfyz3heDtuEPLwhKLMmZM,100219
nncf/torch/quantization/default_quantization.py,sha256=-xDufg0PvktyBrYbnFka0r6k0831AC3PCxvnXUokws0,3509
nncf/torch/quantization/extensions.py,sha256=HFl0AeJqbrTIYgHKKfKIU0c23okb2Jxbx2IkCAtXzAE,3813
nncf/torch/quantization/hessian_trace.py,sha256=mWjXJi6eBTVHQZuB3yntr8r77Tx-e-uC8W8TBuHJ_gg,6770
nncf/torch/quantization/init_precision.py,sha256=6bMp-H121nAgvGZLOgPqc2EyzlZ1xV1-99VQDUgIiJo,764
nncf/torch/quantization/init_range.py,sha256=imJ5B0o9ZDaCXJkTgUhw3Tpi-u4D76MMN1obL4nY-LU,16218
nncf/torch/quantization/layers.py,sha256=fuRpTinG5LMzly20YwkUdCC-cTTOSsz5woz3YmQSjOQ,37915
nncf/torch/quantization/metrics.py,sha256=snoxsbL4rgQuv6ZYCqKgjC8cvCaoq1A9cLQHpd3tiNA,17726
nncf/torch/quantization/precision_constraints.py,sha256=z4oNp8ue1XGrdFvhTbCVpGW5_NgmgkPk95Ax3beihIg,2377
nncf/torch/quantization/quantize.py,sha256=TFcYbtjrZlSz8kr7-cmfF88pDCiflosVXEZVGIL0Z9U,8008
nncf/torch/quantization/quantize_functions.py,sha256=a-Xt29u66GgCrZQoOft0gvkzGcEvZuH1fn2lTknK5Jo,9929
nncf/torch/quantization/reference.py,sha256=kt8GilzLV2itdtXlmekqwaKengi3tqzr-ripwld1Gvc,3445
nncf/torch/quantization/schedulers.py,sha256=9rx3dh7mExwqN6WnvS67hh2_iGVdHtRp8iFjHHGdMfo,3724
nncf/torch/quantization/statistics.py,sha256=fS5R3qw1fNjmt28T9AhAjNzhrnMa9NFMm75AmkjMMNg,4195
nncf/torch/quantization/structs.py,sha256=WetVTLcNPiy3YrBwain5Yh38m8AxjmE8kCKoEKbwBY4,1403
nncf/torch/quantization/translator.py,sha256=ZZeVNBbDN7vQihOXlznPDxcxieM37syXYhoTgdKt8FE,1809
nncf/torch/quantization/precision_init/__init__.py,sha256=hcmyhA-6-z1Cr7MjT5Yfm2xavoo3dcJadSJXLsXEBmw,583
nncf/torch/quantization/precision_init/adjacent_quantizers.py,sha256=dPydrVJ3AquNHRPkrvFv09gUAp7h5etJ4e2Nrx6fxdU,5604
nncf/torch/quantization/precision_init/autoq_init.py,sha256=XIWsW-GuGBHEClto16YCGZwthWUd0DRoOqLY5KQ_Pi8,22372
nncf/torch/quantization/precision_init/base_init.py,sha256=zhWMzi5HcAFhsEh7WcQ3gtzgzLUVApeQ82XAwIyY0Ys,7208
nncf/torch/quantization/precision_init/bitwidth_graph.py,sha256=-aIOU7PxgrDUr_VDW-a07zfrg_eVydfh1u240K-nivs,9089
nncf/torch/quantization/precision_init/compression_ratio.py,sha256=X5NZlgcqFpfrVHRv5vxr4h5mFi0b3HD7K2WEL00x3gk,3108
nncf/torch/quantization/precision_init/hawq_debug.py,sha256=26SlzFdgAk9A-A-drnrcMndFjoGUWqAPjCH2IJ84V6g,10488
nncf/torch/quantization/precision_init/hawq_init.py,sha256=039KH3IjLj2r_1PAFDagNdUy-jR789uOibNexm_QWt4,44372
nncf/torch/quantization/precision_init/manual_init.py,sha256=b0i0ifeOwFpQhsexkOq8w2dGCfCTR2yXWhVHCkzLnuo,3498
nncf/torch/quantization/precision_init/perturbations.py,sha256=ww7V-QaVcD5gMJhn2kmWm_Y-JTjIoXNPuipPIfnvajQ,2243
nncf/torch/quantization/precision_init/traces_order.py,sha256=kmvV8VqucXN-JGl6_f7tR8yrQiCX-qtprDLGHB6vNe0,3287
nncf/torch/sparsity/__init__.py,sha256=hcmyhA-6-z1Cr7MjT5Yfm2xavoo3dcJadSJXLsXEBmw,583
nncf/torch/sparsity/base_algo.py,sha256=EcfFhAfUJV167eq25fa4UB-r9S8IqeBNlFxBrGCbAZA,5117
nncf/torch/sparsity/collector.py,sha256=L146x6oTpQp6cdXmfuQ9eKeGDDzSUhxJz6CIKxFD4xw,3593
nncf/torch/sparsity/functions.py,sha256=A2-OQ_kTi2P989_WsaCKpVQw9SnsCUAI5AKXy8fsalM,732
nncf/torch/sparsity/layers.py,sha256=kiHGUlkBgRvZO_VpKMK4KHJtrYRGp08XPLlUjK05q2Q,1676
nncf/torch/sparsity/const/__init__.py,sha256=hcmyhA-6-z1Cr7MjT5Yfm2xavoo3dcJadSJXLsXEBmw,583
nncf/torch/sparsity/const/algo.py,sha256=K03x0d8tnND2wO-zr1vNpM3KtEVegZxT7Nl-7vNVopo,2345
nncf/torch/sparsity/magnitude/__init__.py,sha256=hcmyhA-6-z1Cr7MjT5Yfm2xavoo3dcJadSJXLsXEBmw,583
nncf/torch/sparsity/magnitude/algo.py,sha256=LqN2r5nrajxDOuZZ3icgHKLZGrd-KKYxJTvYxP2wOAU,8848
nncf/torch/sparsity/magnitude/functions.py,sha256=e39nfej9_gzq0_IhQuB6pioIbqaDTP8ae8OwN5hQVJY,961
nncf/torch/sparsity/rb/__init__.py,sha256=hcmyhA-6-z1Cr7MjT5Yfm2xavoo3dcJadSJXLsXEBmw,583
nncf/torch/sparsity/rb/algo.py,sha256=PqOKctpp-wEur9HBH6f0KQjql9n9jU0BZycBVSuR5R8,7058
nncf/torch/sparsity/rb/functions.py,sha256=TZlgoudlLBoVMKVPG9FwRvUoA9hAPWvoNCjNmtIkKr8,1026
nncf/torch/sparsity/rb/layers.py,sha256=zpR7uEqfzhibZv6k9qUjQQ40F9WDA5d7tYPN4U6YRhc,2391
nncf/torch/sparsity/rb/loss.py,sha256=d8SRwsgtwkCT9JX2UYxh4ES8DZ-V79s-1p68NSUGEtc,3797
nncf/torch/tensor_statistics/__init__.py,sha256=hcmyhA-6-z1Cr7MjT5Yfm2xavoo3dcJadSJXLsXEBmw,583
nncf/torch/tensor_statistics/algo.py,sha256=RWwI2PYUq2OTsKq9GGnj2WpU13Yz2-aIsQAvYQrpr8A,4891
nncf/torch/tensor_statistics/collectors.py,sha256=wgTnxwTbO4sTTTstvxLk3oi7Nn-37SMV7U8eUpfpyvA,8732
nncf/torch/tensor_statistics/reduction.py,sha256=AKJLXIXcnNIwyI4WnXw5zsUrPpVmjMsVIAboAgcrXNM,2231
nncf/torch/tensor_statistics/statistics.py,sha256=3uTtZV6BEq8BS455Z1cc4dm9F2nlFOHl0mbugKXdyJU,2785
nncf-2.4.0.dist-info/LICENSE,sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ,11357
nncf-2.4.0.dist-info/METADATA,sha256=wS5GOuzwamgHaUuZM6bXbgtR_cShLeXSl7fC8B_Uew8,28968
nncf-2.4.0.dist-info/WHEEL,sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo,92
nncf-2.4.0.dist-info/top_level.txt,sha256=xH902LbBkf8bLETJ6-gnFWQuyprZ7DktgTGTYFQB5bI,5
nncf-2.4.0.dist-info/RECORD,,
