pydtnn/__init__.py,sha256=jmY07SLBeqNfT5Zgxk-wHuWg8f70s-cU_2Nlt25RzxU,3423
pydtnn/layer_base.py,sha256=G7At29IVGc8KcvWxABiBQ2FqPd-F7IGuuFoNlNX6mOU,6701
pydtnn/model.py,sha256=VSrTbr8mL_J0784jSc1EzCGnSEtq73Yjvi9lb0jeXjY,52140
pydtnn/parser.py,sha256=3xPCVSkni59GTybL2KRy7xt6K4o6E6uwi4047Qc8mLQ,28385
pydtnn/pydtnn_benchmark.py,sha256=J2SGSGVbb_AINhhworAdQ6GFQKO8jq-yWMSZVd-vv7A,5100
pydtnn/activations/activation.py,sha256=mobJB9KbcHDb9rbFieonJH7y1R-fwXcdWqAUVvBfSQc,606
pydtnn/activations/arctanh.py,sha256=fUKnOWVAv6cJgsOe2jsWUYc7AmXUb4YqdI8Qc6jps_E,144
pydtnn/activations/leaky_relu.py,sha256=1C1MAQe9vVnfTkZBbgzr5UICHusxJkg4LGIyp7m_VN8,320
pydtnn/activations/log.py,sha256=6eQBEAzhAb3h4-aiEN-fzUQVeNOOzxv7GrvgsWgZYHw,182
pydtnn/activations/relu.py,sha256=NPAsFix1ZZeGdjDPxTixR2IzrWjSuz8-2yXzOTixA5Y,340
pydtnn/activations/relu6.py,sha256=LKAr31VJ4uvJy9UbEAsspdGYKlSCZWPC0yUaMuhW9ws,481
pydtnn/activations/sigmoid.py,sha256=dHs69tv-W4OmwB3I0hS2Wd8zHihQ3OvXeX1xzsbVi4s,144
pydtnn/activations/softmax.py,sha256=IibHHmAek4AHVQBpqOSnEFILF5-TBOJEzVboRfCQRoE,274
pydtnn/activations/tanh.py,sha256=5FFwlezm2WpIGLFnIpRXtppcAfE6lzt6WhNtKWMH3cg,141
pydtnn/backends/__init__.py,sha256=qHs5SOTuUrXDxc9otAzhDCXJEDrtpHqBWsWzn1EZ7NI,3323
pydtnn/backends/cpu/activations/activation.py,sha256=zqHK1VBYQUGC9bYdUAKgM_VHLaokEHDwh7WJfbkJ52c,3170
pydtnn/backends/cpu/activations/arctanh.py,sha256=pbRUt-D6CaZBO0eDPp3F5kReaCqovm4Lqy6ns4dwMds,1242
pydtnn/backends/cpu/activations/leaky_relu.py,sha256=JY1y1IqkWINh4Cwhn-UlfoMHnp374Mfw3EiCKFpJq_Q,1428
pydtnn/backends/cpu/activations/log.py,sha256=0g1aJwnHfEEg0TOjePKE0kzf-8ojZkevHVQIajdhZb8,1801
pydtnn/backends/cpu/activations/relu.py,sha256=3xf_5sjaEm9PoFzcByrIXI5ma4T54jnv26Uvw1W0TMM,1535
pydtnn/backends/cpu/activations/relu6.py,sha256=dhYeH0RUH1IwAVWU_rrrI_S_ojY9H6eAuTvsN9cYSzc,1506
pydtnn/backends/cpu/activations/sigmoid.py,sha256=LW3a7qPP9d7Aiuctiyt_h7RrHEapE0OtKUIzfgxoSjk,1363
pydtnn/backends/cpu/activations/softmax.py,sha256=U1CX02w5_KNhztiES2RGZpFagF_XrT4s4RU7501Hxsw,2664
pydtnn/backends/cpu/activations/tanh.py,sha256=Wz3q6jTdREom4MutBN7fr4CFLfgjhUakPvf-m84LEIg,1106
pydtnn/backends/cpu/layers/adaptive_average_pool_2d.py,sha256=lH-XiaPoIPXo1XbFlEwJqd8Dt3kOU1gBCM3TAEGQiGw,4473
pydtnn/backends/cpu/layers/addition_block.py,sha256=FVJaoi8jMxqtP1ejJo20ZbPAkCquthBC7e489BirHH8,2913
pydtnn/backends/cpu/layers/average_pool_2d.py,sha256=sJt8URIpKfJR1yorMUZA2hhai6VG4YaiT566r1SKsgM,8356
pydtnn/backends/cpu/layers/batch_normalization.py,sha256=4QJyki6440408FQR_JemDGwtSk9f9GdIOWEF463xbBA,7169
pydtnn/backends/cpu/layers/batch_normalization_relu.py,sha256=eNF3IkZJSry-feVCx48ou-UN1A3-IAXogxPSwpyHLfE,2043
pydtnn/backends/cpu/layers/concatenation_block.py,sha256=HD2LBca1wXUPp8SkYDUQfEwc5Bqlu_kL1RLhT2dao4U,3217
pydtnn/backends/cpu/layers/conv_2d.py,sha256=DqDqKc6zqz5uQ9BWbrZ-SginS_WsYD7Pk4VGLF_zRJA,2952
pydtnn/backends/cpu/layers/conv_2d_batch_normalization.py,sha256=XRLixRHTDpiduSOgA8gjHXSwvgZXHKNBJOTyC-ab9Og,4489
pydtnn/backends/cpu/layers/conv_2d_batch_normalization_relu.py,sha256=2Xv0fkswqVQPhl-DcCYZox_xfvAPbtARRqQmKMXa20o,4521
pydtnn/backends/cpu/layers/conv_2d_relu.py,sha256=R59atVV6CDhpFf1torMmNQD8Fm5uww-S2PxJMk7dTzk,3728
pydtnn/backends/cpu/layers/decoder.py,sha256=pCgoDbt1_zREGDluK9r5sv23TAi37WkUlAx1ODU71BE,6518
pydtnn/backends/cpu/layers/dropout.py,sha256=QWIt3LHUHJWJkCMjiEhoysI8TnzuZK7fBODniPvlw_c,1423
pydtnn/backends/cpu/layers/encoder.py,sha256=XRBR01fPD5ILKSiRpS_7yqxZT7vhGAon6-znjhv1ou0,5371
pydtnn/backends/cpu/layers/encoder_decoder.py,sha256=baxNlTAgfpuim8hYihXeNpeaS2vZqYu___Lc1LJWZg8,2930
pydtnn/backends/cpu/layers/fc.py,sha256=jwXeaP54ChMnAd56-2PZ5fMh7yvW7G5HOAVn0fZPd9o,4160
pydtnn/backends/cpu/layers/feed_forward.py,sha256=i6IGubtTitB-3bCP_w-a-2JFx2jbo5lo8HBYW2rYcyg,1862
pydtnn/backends/cpu/layers/flatten.py,sha256=f9cCYFAyKQxEKKRvExJ_W-c3L1RszcNXQ_Aoyd3IemU,1030
pydtnn/backends/cpu/layers/input.py,sha256=5mWLP1V3pluAWv_KkrvE-u_MXN2gJLh9zQYc3bYdi28,417
pydtnn/backends/cpu/layers/layer.py,sha256=3JheIox_mC1CpxGCX6defTwOH6T75cgmLfPeXJ3nSWs,3715
pydtnn/backends/cpu/layers/layer_normalization.py,sha256=DJqhOhFxYTS3ea4KrXPb2PXYGs00CCDO9mFx1ICVK7o,883
pydtnn/backends/cpu/layers/max_pool_2d.py,sha256=4_OW5qd_Hull7i9BLtiCAVRR3WNi0d9HjYD-Hjkbkyc,8957
pydtnn/backends/cpu/layers/multi_head_attention.py,sha256=Z7zjSmMdu8r1OhllhXSWyEEYjSEzEhYLxkD5fi96coI,7219
pydtnn/backends/cpu/layers/multiplication.py,sha256=mh6Pf6Ji3z__EZ_cZxw3BhZAZSxUKhG3owa-wt1T74I,933
pydtnn/backends/cpu/layers/scalar.py,sha256=ImyhHFfq2uA3fim7kOoOaf3VnOoT-8S_x1u34D2L9nM,553
pydtnn/backends/cpu/layers/abstract/block_layer.py,sha256=15ReIAkn2bCrT5u-XsXnVS0qyeSEQgzzU0K_y3b8XX0,220
pydtnn/backends/cpu/layers/abstract/conv_2d_standard.py,sha256=d7OjBBXYMpCAboO7f3Zzohbxy1NgABe-OEEupyVdC2Y,1872
pydtnn/backends/cpu/layers/abstract/pool_2d_layer.py,sha256=8PK8ZM924SKc9OTPlfik6O9m2UA08A8rwKBhEk5mIDA,3297
pydtnn/backends/cpu/layers/conv_2d_variants/best_of_variant.py,sha256=aHcFQEBOnb3_KlvbGgemIsenyA3kS3rxHrOzglc-B7E,4742
pydtnn/backends/cpu/layers/conv_2d_variants/depthwise.py,sha256=tLb_HW39KQrB9brp4PcIt5bOU289y9wC18Pz2mjMqrw,6650
pydtnn/backends/cpu/layers/conv_2d_variants/direct.py,sha256=PROOPExddDbcQ8HCMQAuA1_vr5WiB0mXcmg41UsBtVg,3646
pydtnn/backends/cpu/layers/conv_2d_variants/gemm.py,sha256=3Go-VP9U9gXjfdEhBub431XCIu3XiTyMkSRBX40-zek,6405
pydtnn/backends/cpu/layers/conv_2d_variants/i2c.py,sha256=NVRjrrvPnp1S3-SVAKT4CoLzPFdc1-hdk3-25EBBwnw,12797
pydtnn/backends/cpu/layers/conv_2d_variants/pointwise.py,sha256=6Nqu-vA4pDwJj1BbJfpmzGVgvcM5pH8NwGxJKgrNcK4,9408
pydtnn/backends/cpu/layers/conv_2d_variants/winograd.py,sha256=RPPJCLhYNLOmaBq60qr0UEzQ3WOh2HwJpB23JSOHg1I,4806
pydtnn/backends/cpu/losses/binary_cross_entropy.py,sha256=-nnOtQs-YBPFvWoJ_rT89Rsnjfq604byVQCXqDEScCk,759
pydtnn/backends/cpu/losses/categorical_cross_entropy.py,sha256=ZCihHmt9lwc6wZb0c3s7_QUS38ukjG1VrLT2B6lC43g,1231
pydtnn/backends/cpu/losses/kl_divergence.py,sha256=ZvEplF702nHTU_GJggYTznrXi4q-xaCOwAsHWyjwSPo,601
pydtnn/backends/cpu/losses/loss.py,sha256=1CFCWUOUz2QgP_B8udN7qNCE1bOK1qC-AJdRrpd6nJ8,186
pydtnn/backends/cpu/metrics/binary_confusion_matrix.py,sha256=sXgHhKQO2bi7Ka0wo-nxX3DU-kXe2xtITLyGcBdC-mU,2098
pydtnn/backends/cpu/metrics/categorical_accuracy.py,sha256=XU_W8hFF4_rtl6fv1YM4KCzld9d4B3Gj_xVUI-fDk60,549
pydtnn/backends/cpu/metrics/categorical_hinge.py,sha256=JGypaxhBL2E4NWFZXpUlH_5Txo4augNY3t_ZDIzMl84,1051
pydtnn/backends/cpu/metrics/categorical_mae.py,sha256=W9IBq087Bl1sbQMJUdqXXrykqf4ezwF4vTpqJTTRXcI,548
pydtnn/backends/cpu/metrics/categorical_mse.py,sha256=Ji0RiKPhoxjC9kdTqTF8M9bIcKKR20Wp23942Fd8T3Q,563
pydtnn/backends/cpu/metrics/f1_score.py,sha256=GIaGpVoF_TtC3jyM0gA5oh5Yt80OSwkHhIB9EK6lzAE,1114
pydtnn/backends/cpu/metrics/kl_divergence_metric.py,sha256=xJ_3lOqBt7KVTsgxqbxOZm_Sy81LcNNflpPXWpPl-BM,424
pydtnn/backends/cpu/metrics/metric.py,sha256=oeqspl3ul1LSwtJDJM3Uo2y9FHXzLYYtWA5p5hb50vc,204
pydtnn/backends/cpu/metrics/multiclass_confusion_matrix.py,sha256=IqdtSOkolgiIQFpo8SAyGnelwAFrlKSxnpqdxK9YvAo,1186
pydtnn/backends/cpu/metrics/precision.py,sha256=bR-eqsDIxtqRQ6ZtXqvYLSJJ3SXJ0_RMWPMC41QpIio,978
pydtnn/backends/cpu/metrics/recall.py,sha256=Uoq6EqdQkkgKCZ6Ph1LfpI1zL-ZtigqeYe-hqosSQb8,946
pydtnn/backends/cpu/metrics/regression_mae.py,sha256=6cuaaHzEQ1y_8PfmvCIlI_zuYko_bv7soVhiwbMB-sk,522
pydtnn/backends/cpu/metrics/regression_mse.py,sha256=93T22efeCCAN_xnGx43SQ9WlKMD7d72YbVjfVLH3iy8,513
pydtnn/backends/cpu/optimizers/adam.py,sha256=HkmOyLdATtVe7vY2apU-tCzL-E5Znl_D5Vm47rMNT5U,3539
pydtnn/backends/cpu/optimizers/nadam.py,sha256=pjS3WNhsMsSWUYLj4fyu98mhItRubHMD7JuPolzAr1w,3856
pydtnn/backends/cpu/optimizers/oktopk.py,sha256=4UTSBqx9mt3qU9qVc710kMrRDlWZs4JG5aqMujknBFo,27977
pydtnn/backends/cpu/optimizers/optimizer.py,sha256=4LfaPgkiDbsrEGcsSPUj_rGdk5YCnONLdjcNAXZ7hII,313
pydtnn/backends/cpu/optimizers/rmsprop.py,sha256=GT-Ru0PTdYeVseIjw2HjP68llWKsdEXeVmHab61ZXxI,2635
pydtnn/backends/cpu/optimizers/sgd.py,sha256=GfR8ms8zEyXUYXlamCrO1ynmBVFReJtyGkD9EWHC0ts,2497
pydtnn/backends/cpu/utils/adaptive_avg_pooling_nchw_cython.c,sha256=wS8jUNM1yf726-Pymn8_BFFF5-DIIzo9H6il25kwI2I,1412271
pydtnn/backends/cpu/utils/adaptive_avg_pooling_nchw_cython.cpython-313-x86_64-linux-gnu.so,sha256=DkoIwFBD47ZEafXrnbC-18EsCo1vIXKVF1OrY8rXE0I,299273
pydtnn/backends/cpu/utils/adaptive_avg_pooling_nchw_cython.pyi,sha256=5utJT6l2kVkML2UVgNkYVTIDd1qhexBxJA3s9jeO5LM,948
pydtnn/backends/cpu/utils/adaptive_avg_pooling_nhwc_cython.c,sha256=jP2lHTk6cslsTuCs8etUtHdpULJ5VSNA59GFqKzF47U,1412779
pydtnn/backends/cpu/utils/adaptive_avg_pooling_nhwc_cython.cpython-313-x86_64-linux-gnu.so,sha256=IQt20kzkGI0PQvmHfhfOG-nxJyQrYoOEdTUoK5zJJ3I,299273
pydtnn/backends/cpu/utils/adaptive_avg_pooling_nhwc_cython.pyi,sha256=8wlCs5QH7fAaiLVA-hsQD-0DftNLkLm9CyehsMUxco0,888
pydtnn/backends/cpu/utils/argmax_cython.c,sha256=WMlWFq1VXPkFB4xyP7U_u57kTLKgTGWcDl_w5gZccT0,1357479
pydtnn/backends/cpu/utils/argmax_cython.cpython-313-x86_64-linux-gnu.so,sha256=2LliICh0MsNUPsxPlXHRD215SGwnlcJ_w_EzzgJDmkI,295177
pydtnn/backends/cpu/utils/argmax_cython.pyi,sha256=9pR9YTuKjjkYVXu4cm4C6jz3An6_62TSMONhl1CE7Mo,1348
pydtnn/backends/cpu/utils/average_pool_2d_nchw_cython.c,sha256=ZyOK7k327k-4g52hSpqgSjaqUbQbpuPXOuhMVNwyX_4,1467674
pydtnn/backends/cpu/utils/average_pool_2d_nchw_cython.cpython-313-x86_64-linux-gnu.so,sha256=B7ZP2Gl6uvA0v3raKD92sdTF4Mb9o2pyXfg_MHBMFJ4,323841
pydtnn/backends/cpu/utils/average_pool_2d_nchw_cython.pyi,sha256=hmRZGIwtvkMJUAQ6HvByGW6IRuYtR6vJPUSnvT8-j-0,2968
pydtnn/backends/cpu/utils/average_pool_2d_nhwc_cython.c,sha256=zSIbOFblx15SiskhK5HUMCzsilmZo7pzYmVawCbpyo8,1467688
pydtnn/backends/cpu/utils/average_pool_2d_nhwc_cython.cpython-313-x86_64-linux-gnu.so,sha256=N2lcSVAEjBCJ-rlNTi3NNPlTTMkYIOH75Wv7UzU7EDU,315649
pydtnn/backends/cpu/utils/average_pool_2d_nhwc_cython.pyi,sha256=w0ncc7uCJO0s_7SKAu9aaoUQT7hnFIhS40S2bf5PD0o,2969
pydtnn/backends/cpu/utils/bn_inference_cython.c,sha256=8rENJJytGd1y7k-0OTcNockIVbZFCkXQTThijkS1vU8,1435772
pydtnn/backends/cpu/utils/bn_inference_cython.cpython-313-x86_64-linux-gnu.so,sha256=AwlHC2WC4e5ypPvp50UzC-iqAMtwhSxyg-hvfF6vrHE,327921
pydtnn/backends/cpu/utils/bn_inference_cython.pyi,sha256=x85Jl0WNfzo8scui4jV3tCFho_93M5HODBoF7lFFcYs,2172
pydtnn/backends/cpu/utils/bn_training_cython.c,sha256=djfQJ6GbXtPrKJ01FKSREKR1vukcaTuRi6ATv7N5hkc,1386816
pydtnn/backends/cpu/utils/bn_training_cython.cpython-313-x86_64-linux-gnu.so,sha256=Ekrb_yyOzetWXfiZfbbdhoh8FVtoC5JWwSnpLoVmK80,311561
pydtnn/backends/cpu/utils/bn_training_cython.pyi,sha256=ppBEpyCXcFwT58b2saId19zsmAomA2uAeRbgtlYWLPM,2683
pydtnn/backends/cpu/utils/depthwise_conv_nchw_cython.c,sha256=Snk5zrfntKzceLFRDzAslH_xVjmfI3-4_4QJGUPpZxQ,1425780
pydtnn/backends/cpu/utils/depthwise_conv_nchw_cython.cpython-313-x86_64-linux-gnu.so,sha256=dp12TIN1wpEqWyiTBaoKWOj5J8oLvdM2E9ZaGj1oBaU,327937
pydtnn/backends/cpu/utils/depthwise_conv_nchw_cython.pyi,sha256=AZiMFWvCccUpEXLOz2ng59LLrRJuBdwSFrEdMOHmt98,2911
pydtnn/backends/cpu/utils/depthwise_conv_nhwc_cython.c,sha256=Un8ukVGMUmngKGuuG4ss37eogFFdAZRAtEPeSEtXox4,1425627
pydtnn/backends/cpu/utils/depthwise_conv_nhwc_cython.cpython-313-x86_64-linux-gnu.so,sha256=Bk4VPRJpiu7b0U23tiK0SpiUkTFPF69ON6_dUHExjOo,319745
pydtnn/backends/cpu/utils/depthwise_conv_nhwc_cython.pyi,sha256=wcb2LUkLSKp2pd93rAyv_yNe2Y1R2pwtp4rjzs3rFYY,2903
pydtnn/backends/cpu/utils/div_arrays_set_if_zero.c,sha256=VIr4dQONlj4cKsaCTvw49W1urOJWXMYwZFJ7YtzqVMw,1286306
pydtnn/backends/cpu/utils/div_arrays_set_if_zero.cpython-313-x86_64-linux-gnu.so,sha256=9tgX-Mo2bGTnL86vGTq_tW_6EKyXlTW0_w2EAE82H50,266505
pydtnn/backends/cpu/utils/div_arrays_set_if_zero.pyi,sha256=zKeWGZW4wkwy-y9DSe5OoVCLovbIjtixUuqab1NkT1M,1277
pydtnn/backends/cpu/utils/im2col_1ch_nchw_cython.c,sha256=hIIEv_VLvistOE0i_7BunVE8mLWR0kMj0ayawkiBqUY,1460684
pydtnn/backends/cpu/utils/im2col_1ch_nchw_cython.cpython-313-x86_64-linux-gnu.so,sha256=Xjv-iO0cwZCOC_Wzc984g53Eg5Ba10V_YOUdjB7-RSE,323833
pydtnn/backends/cpu/utils/im2col_1ch_nchw_cython.pyi,sha256=2znN-QF0DYuBtjMGwDYCbGbEb_lgxJRBZ-QhiN1uktM,2474
pydtnn/backends/cpu/utils/im2col_nchw_cython.c,sha256=-UM-KJYo5VcR5AuuRWJ2BJih4j2YquW6BxdateynZcw,1589159
pydtnn/backends/cpu/utils/im2col_nchw_cython.cpython-313-x86_64-linux-gnu.so,sha256=x71sjOA1ZBzkgf1j1PqmenxAcnXKntnK6tLsItZGRTs,352497
pydtnn/backends/cpu/utils/im2col_nchw_cython.pyi,sha256=rsMtsZ8CpT0w3cUkrh4ehwrCktO7M63610Q9OxFsHTk,2672
pydtnn/backends/cpu/utils/im2row_1ch_nhwc_cython.c,sha256=RZm4-Z_XCZ2ptg7QYT-Kc0q8FYLEyfVAIF6DRzxmllA,1461759
pydtnn/backends/cpu/utils/im2row_1ch_nhwc_cython.cpython-313-x86_64-linux-gnu.so,sha256=eIB6ysmQQZDM6q_a03YRDxCHTBSXQQCHlPRcc6z-Vp8,319737
pydtnn/backends/cpu/utils/im2row_1ch_nhwc_cython.pyi,sha256=cG0L90VfVVMQtMJQz_-iQGox-EQFtjNYCUdRHBvxrY0,2574
pydtnn/backends/cpu/utils/im2row_nhwc_cython.c,sha256=2YFXcuEQ8jl2_n_D9ucrLVJuULe_gRQ4A5dxpu5Tl8Q,1586539
pydtnn/backends/cpu/utils/im2row_nhwc_cython.cpython-313-x86_64-linux-gnu.so,sha256=CC3AJqLYS9HP8B6aejs4FOEz_qdNQGx18qTeUWO7m2c,348401
pydtnn/backends/cpu/utils/im2row_nhwc_cython.pyi,sha256=aCFPwFSBe90G9D7cE90w280ezrPx5oi0VAShbo2LA3c,2650
pydtnn/backends/cpu/utils/log_activation_cython.c,sha256=r4RDOSHq2xs9LT1Yeaw2RV0QWtPLcB5fUEPJBD4Ci0U,1313694
pydtnn/backends/cpu/utils/log_activation_cython.cpython-313-x86_64-linux-gnu.so,sha256=nf3h0p9GBmkvZFhd2JlCyY9cGj9IrjVArmAPpG3seHs,282881
pydtnn/backends/cpu/utils/log_activation_cython.pyi,sha256=hnhsT9FL2s1L-uu6xIikP4U9OJz58b4TnXPpcpkRN10,878
pydtnn/backends/cpu/utils/max_pool_2d_nchw_cython.c,sha256=Mlzl7qzsyQ0r03pMIT3XATLtMoajcSicP81c2SinCg0,1461595
pydtnn/backends/cpu/utils/max_pool_2d_nchw_cython.cpython-313-x86_64-linux-gnu.so,sha256=8acMzmVMjrzdxObp4wDbyaf3HvMpB_5FCgwaR-r4Ugc,323849
pydtnn/backends/cpu/utils/max_pool_2d_nchw_cython.pyi,sha256=BE3et-mBCnFLZlUH3F1M2UdvKQQrqCcJfSNJUVAfQjc,3331
pydtnn/backends/cpu/utils/max_pool_2d_nhwc_cython.c,sha256=gwjdr0MkFdhk7RsK8I44uohQRv3mPl0nCcLcjpdVDDo,1462111
pydtnn/backends/cpu/utils/max_pool_2d_nhwc_cython.cpython-313-x86_64-linux-gnu.so,sha256=A2PXKB_jU9G6IklBtr35qPxC4-AUiiyNH0ZTOlqIxFE,319753
pydtnn/backends/cpu/utils/max_pool_2d_nhwc_cython.pyi,sha256=TQtPaTNOU22uJRfy3TKCRRTVpHlSY30M0qMKVtRhvMI,3332
pydtnn/backends/cpu/utils/oktopk_utils_cython.c,sha256=DQBTaUOpd-NIgUIHGF-ZO9tj0h1vX6DExYbsbqsSYQc,640141
pydtnn/backends/cpu/utils/oktopk_utils_cython.cpython-313-x86_64-linux-gnu.so,sha256=wbrtzM8hNCC9SfNAmFor69Z9rjXuUBs40dqTNCU9Vyo,126033
pydtnn/backends/cpu/utils/oktopk_utils_cython.pyi,sha256=3ibxtmvTDUWT6sZx7B7A4hMp7Ce_bwvhvtRrdYsPtyo,2051
pydtnn/backends/cpu/utils/pointwise_conv_cython.c,sha256=cVnEsFBFoYmqwA1uBY3ELyGhrQQf67_nbq6wdgnyQPU,1276673
pydtnn/backends/cpu/utils/pointwise_conv_cython.cpython-313-x86_64-linux-gnu.so,sha256=xLTNDDABTHrfXFs-Nthh5jk6MGtfs-DlnAOXq2vNFKc,274681
pydtnn/backends/cpu/utils/pointwise_conv_cython.pyi,sha256=s3dXnshLR4kXqXvC7ov9I9UuWDtvMxWdmR-iauKXo2M,710
pydtnn/backends/cpu/utils/relu_cython.c,sha256=CQH9vxa5U13P9B9rok2yfRrVrOsOi0PHvTH5-ygcH0E,1387646
pydtnn/backends/cpu/utils/relu_cython.cpython-313-x86_64-linux-gnu.so,sha256=tYnW1EHceMTrkI-AHWG9A3LzQa_0I75XgaeX2GkBvU4,303345
pydtnn/backends/cpu/utils/relu_cython.pyi,sha256=YHyyTdtcmbI2TM3SrFBsd4pR6zkRoApwPkaIXsYNVNo,2259
pydtnn/backends/cpu/utils/sigmoid_cython.c,sha256=mQSJDIDCbWbunvW79ZPZCLAZYPa1N8z6hac4kim0rfA,1315600
pydtnn/backends/cpu/utils/sigmoid_cython.cpython-313-x86_64-linux-gnu.so,sha256=U3DLBPmYVF5JNQnKycToHMxcDQQQCgHfJZgAzp3ihC4,282857
pydtnn/backends/cpu/utils/sigmoid_cython.pyi,sha256=iwT4-dqC0VpRBhHXHkPg53OrXY-mL6aXx3m06b8bwNo,976
pydtnn/backends/cpu/utils/sparse_cython.c,sha256=nHQPtgifIQb1IKnWzfLkAhcsuyvKK7OnAi2oO3EBKHs,625647
pydtnn/backends/cpu/utils/sparse_cython.cpython-313-x86_64-linux-gnu.so,sha256=Sp9hNnNcQyol5BF4D9i3_QsNcqNUSuq39d5OtkkdwDE,117753
pydtnn/backends/cpu/utils/sparse_cython.pyi,sha256=GfQHvbKb3luW43jFvarV3JX7rFisNw1ML2lgWxu6b2w,1317
pydtnn/backends/cpu/utils/transpose_cython.c,sha256=TZjnFyku2o0JTmgMGJpCEgWEwrMgOii_GqGkT9TCk3k,1726767
pydtnn/backends/cpu/utils/transpose_cython.cpython-313-x86_64-linux-gnu.so,sha256=fUEj1Zgp3paf63aCVBppGYxSxQswuRvuXWeCqToOmDQ,409833
pydtnn/backends/cpu/utils/transpose_cython.pyi,sha256=B3UlWKIUAwzHQ9i3niBw4D6QEbteWTEguI4YvTk0f7o,2843
pydtnn/backends/gpu/activations/activation.py,sha256=p_bh37DojtW1A0HsY_74RCDH8lEeBMShDaKQ0UVTsT0,9996
pydtnn/backends/gpu/activations/arctanh.py,sha256=s0fS7crbqubThVgHKv2rHoWxBCVoEMM5NtvrrQE0JAo,1877
pydtnn/backends/gpu/activations/leaky_relu.py,sha256=Gcdwk0sr_NVOp6Ie72Hl0LIzssMVIXkZTv4JlAN7F_8,5150
pydtnn/backends/gpu/activations/log.py,sha256=-EoaJLIhtAD0rzTrZzkWY7a8cRy2N2RfuTFgfrpn7DU,2023
pydtnn/backends/gpu/activations/relu.py,sha256=Ryu-O6Hl024Dyi7Mc7VgocI7NT8jpCp-BTVR416I34A,2077
pydtnn/backends/gpu/activations/relu6.py,sha256=q4Xydb3_VDjZqsYAKK2_RLHdm_DSJLhV0XrX0pdSHe4,4987
pydtnn/backends/gpu/activations/sigmoid.py,sha256=ncl8tN8Pn80JIFYm4P4GZTMZ-9rXKC_1n1cAl9sS-po,1970
pydtnn/backends/gpu/activations/softmax.py,sha256=BaH4Gu5O2c1H6oEt_owhKuGkKbi99Zy6BI4avrcwA-k,1795
pydtnn/backends/gpu/activations/tanh.py,sha256=4Sn5A3FPAYoUkit6AJrFxt1jATCYzQXvJ0M7-SLQl_U,1956
pydtnn/backends/gpu/layers/adaptive_average_pool_2d.py,sha256=V1MWhLScr5C-A4-m6g66XwYDEchZMjHCZmqidp2VxDw,17468
pydtnn/backends/gpu/layers/addition_block.py,sha256=Mt1rs0z_v6jB7_0Fjagu0yrP3CVVXy5sGmoDwpDrFUI,2535
pydtnn/backends/gpu/layers/average_pool_2d.py,sha256=ebkALtmiXq4jZ2hfpOoka4gcSX22ooO9wnRrQgOVqEM,631
pydtnn/backends/gpu/layers/batch_normalization.py,sha256=DN2o3ZEiq19NxrQAruLL7PMBcHEt4mddGIUeIZOrbTI,9386
pydtnn/backends/gpu/layers/concatenation_block.py,sha256=cmmcOSQCd8dWwI3syU1bpN8RG04qE-pI16OiXzjTvJA,6147
pydtnn/backends/gpu/layers/conv_2d.py,sha256=aitDbOBV1He70Yr9cp_pqJ3L4rt3G5yOKEYt58Hrrxo,9276
pydtnn/backends/gpu/layers/decoder.py,sha256=apKkaRHurqKNPNZgVO--k8hKnfdMEc-CxH4FsvvmcP8,7959
pydtnn/backends/gpu/layers/dropout.py,sha256=NNqN0Wj1TdQ9kd8nKdyUFyoqPjVnmCrWBLNf8WujFYw,3328
pydtnn/backends/gpu/layers/encoder.py,sha256=Iw8Gr4eRpdNXEKwJkTEZZJVrWITCBSaMNzDgLLbNpt4,6563
pydtnn/backends/gpu/layers/encoder_decoder.py,sha256=Q78VYjvrkASTonoGYdJYEzepIpPfQWuGPeVDO3uR0A8,3204
pydtnn/backends/gpu/layers/fc.py,sha256=X1AZXBqOJLLTBMFjj__505D7RBZA-rAGT-YhCVBan34,9061
pydtnn/backends/gpu/layers/feed_forward.py,sha256=2bCPR_Mg-BU75u6ZdtGG1Kz4teLkG-2L6hVeMzVZoOI,2221
pydtnn/backends/gpu/layers/flatten.py,sha256=sCDnGvVOD3JP2QimvRuqy9z942CNe7NE2WjrVTsgPC0,1156
pydtnn/backends/gpu/layers/input.py,sha256=g9xoh9kl8L9ooR_bQiV7yPZVhnGaMQ_3_Spz552VG0U,711
pydtnn/backends/gpu/layers/layer.py,sha256=LxOoEf-E9eYu-W81HCtUS2XRAGW5c5i8oisrAjQYFBI,11152
pydtnn/backends/gpu/layers/layer_normalization.py,sha256=SeG6qF_Kg5UhLl9pufBkDIkVCvaS0P1TMpnSr_tTz7c,7519
pydtnn/backends/gpu/layers/max_pool_2d.py,sha256=dj1MiD1QcHYndEQwJekuoh2QaeHiOkHhFa0BN2eMqes,589
pydtnn/backends/gpu/layers/multi_head_attention.py,sha256=a1NFJakNVkCLUAm_A-ECjoocOTcsvemX6mcqVbovudY,12297
pydtnn/backends/gpu/layers/abstract/block_layer.py,sha256=SRg-E5VX4KND6GF3WrZBS5YlBPKtbyQPfS0R9TxsJiI,260
pydtnn/backends/gpu/layers/abstract/pool_2d_layer.py,sha256=vHBLtrBFctZbdxx8wfpa0A_gVOLuZeT4yqF44oj8tjI,4299
pydtnn/backends/gpu/layers/conv_2d_variants/depthwise.py,sha256=xInK9Tuc4AiF-GJspE368wD1gnRI7RH4ItCT_enGKrk,14999
pydtnn/backends/gpu/layers/conv_2d_variants/pointwise.py,sha256=OYS7cQbWKvXwSYAx0Tee-PaeHWH8obxPgfTXnFy2oUg,11643
pydtnn/backends/gpu/layers/conv_2d_variants/standard.py,sha256=5IZ1gYBbKSFy1n1dbx_M372H_GZpP88E8W2Asin4Tw8,11252
pydtnn/backends/gpu/layers/conv_2d_variants/standard_pycuda.py,sha256=oXotBhSYw_MyN0v67An32hc0X1VVUSs4r6C7LIu24Uw,24400
pydtnn/backends/gpu/losses/binary_cross_entropy.py,sha256=2A8DS8BY-HQgb60IcN3J8sVtfPN_v8_Qs3SwqfECj1k,2132
pydtnn/backends/gpu/losses/categorical_cross_entropy.py,sha256=NYNS66gc1HoZwXq27Lty6--8Pl0Jf5vbWfZhf6arOEQ,2280
pydtnn/backends/gpu/losses/kl_divergence.py,sha256=LGxJM4QM1A39zY823dePEcLBtDsP3jSR9LRk-hQyBn0,2016
pydtnn/backends/gpu/losses/loss.py,sha256=WmjNOBcZYDLbHlWYIS--RV04ZwDEKpF6nRYl6kK0H3s,1181
pydtnn/backends/gpu/metrics/binary_confusion_matrix.py,sha256=ncUJxe0iQ_YKqDJqbLRmYuO1eeu92oX8EjfPtMj3CpU,5077
pydtnn/backends/gpu/metrics/categorical_accuracy.py,sha256=hR7nM8-9HNU5CeK8l-mnKUg3IfHn87F-zzPSQz3U2u4,2009
pydtnn/backends/gpu/metrics/categorical_hinge.py,sha256=I3y4AnzysdI3L0psz9CiWG4cB8Rx3HnAVrfQtCsGE34,3143
pydtnn/backends/gpu/metrics/categorical_mae.py,sha256=SgcIqyGf6H3BYvjvX4JMlzq03WuLTGQZELbFmqVXYcM,3023
pydtnn/backends/gpu/metrics/categorical_mse.py,sha256=pAkn8mewRXip__DN0eY3i3fJXhsqFhDoho30ttsspkI,3001
pydtnn/backends/gpu/metrics/f1_score.py,sha256=SIMp9QvNHGUEwQsUEbGdOIvGp7YgV2WXDu5JgrQyjI4,3462
pydtnn/backends/gpu/metrics/kl_divergence_metric.py,sha256=Zd3EBPfkquZhv4HyQ9arF-CVBrYGq2KcF-0JrbuIiw4,1587
pydtnn/backends/gpu/metrics/metric.py,sha256=-47-pNXLRd8eR1DajJgpayoejoVp-bl2pBf2zuAEnhM,883
pydtnn/backends/gpu/metrics/multiclass_confusion_matrix.py,sha256=PC0XXtUH2UOclbT2g_4re6Zrh3h1qKn-eG0Fejy98z0,4395
pydtnn/backends/gpu/metrics/precision.py,sha256=GFq5wepdb7XXvScr3xx5sqWHUH0ZwRIZ7svuvqIQkkg,3326
pydtnn/backends/gpu/metrics/recall.py,sha256=5hqJn5vXDaIDeYLiKcX2d9OhFde7ce17QZWzwfcokWE,3263
pydtnn/backends/gpu/metrics/regression_mae.py,sha256=8gUTVgUMu2k85-T7Er03WoO5qP8kQb-e2wonVWfZ8Zo,3129
pydtnn/backends/gpu/metrics/regression_mse.py,sha256=s1xuc5C9-ENY0MSrJmVcwtoVqiXZr3MVvjsNYeccS_o,3073
pydtnn/backends/gpu/optimizers/adam.py,sha256=mKYAi9IVT6vkfRiionlw9REWHTlEQm21hmYMcHFI4ng,4599
pydtnn/backends/gpu/optimizers/nadam.py,sha256=n8_ws4jXFTheL5BGDKxSVDJHbNU6iloTg0BCS7EyZMQ,4705
pydtnn/backends/gpu/optimizers/optimizer.py,sha256=Ce8cceJc4xsFolEGEgW3HfNdRrgl8-e1G27DOWmK3Yc,897
pydtnn/backends/gpu/optimizers/rmsprop.py,sha256=weqE68bScGbOCePixAm8Z49lHLh70Q8TvBmY5LwqEDY,3703
pydtnn/backends/gpu/optimizers/sgd.py,sha256=JovOyPqmpwv7acqXSj67vpUyqcX3gUizQsp1Vdt8uvg,3684
pydtnn/backends/gpu/utils/__init__.py,sha256=sBoMc4U50pONoiK1m1elWHjs25Qlpvu4JHOGwPJEsNs,911
pydtnn/backends/gpu/utils/memory_allocation.py,sha256=wHRLKI7zOygdexcVDDDiw9MkPIu4ieq-zaQ6P4Balew,872
pydtnn/backends/gpu/utils/tensor_gpu.py,sha256=GRZ4AZuDznrFo5p3xFhph_IZEOav4KherjlH3Fo_OSs,12558
pydtnn/converters/onnx2pydtnn/constants.py,sha256=lGwCIy2tpNdG2VgNURLKsyILOH6tSEQ3sLBTnDonJyQ,2808
pydtnn/converters/onnx2pydtnn/model_converter.py,sha256=EKzyvSYnDtEq6CPKd8N2y-AGuaTb14B9tGELGFZc6fs,11154
pydtnn/converters/onnx2pydtnn/operations/implemented_operations.py,sha256=HVQCweOCUHyZxicbd2qkzT7TbelKJutcNrx_a5aOcL8,14282
pydtnn/converters/pydtnn2onnx/model_converter.py,sha256=0n04uKnNXemAPSWLvD1ebtCEqwggxY7o0S1fyMf2fJA,10025
pydtnn/converters/pytorch2pydtnn/common.py,sha256=BFx6rdG3pv0M2HPWrGvgCvK5r7Rn8188XwnxOVxp2bY,9095
pydtnn/converters/pytorch2pydtnn/model_convertor.py,sha256=Ci87gjGEcgiCsm8NyDoB7qmeIhtERoGakJDNg8wDMjo,14104
pydtnn/converters/pytorch2pydtnn/test.py,sha256=KYXC6vQhokqUE-EVBsv1BsDlsCWWuRlXta0xCTsOlnY,12719
pydtnn/converters/pytorch2pydtnn/test_conv.py,sha256=86xtTHLcsoX1h_n5PgGHIg6BCkMQqj1d-_uvuDl7F2c,3864
pydtnn/converters/pytorch2pydtnn/test_layers.py,sha256=sAA7Z3_XmLqE0bQrXtWwSiD2hlfUF-DpzFCvSSIuZd4,14625
pydtnn/converters/pytorch2pydtnn/layers/activation.py,sha256=NdASW-gysJ4Dvo8bfBoko0F3XdtvdldC1OrzwtIz9KA,2807
pydtnn/converters/pytorch2pydtnn/layers/convolutional.py,sha256=0tPoMe9let04P0KuPdGSRYTUbwl4wBDX78mazwZrx2U,2430
pydtnn/converters/pytorch2pydtnn/layers/dropout.py,sha256=uu2Hn6MsAJX0zgAO0LSiXrvWT8eiWmPHAvX3asFBGLI,1107
pydtnn/converters/pytorch2pydtnn/layers/functions.py,sha256=Dvhmb1dEVLuCHhABhObRirHzV7yyrL6AMkEcWNGrF1Q,10013
pydtnn/converters/pytorch2pydtnn/layers/linear.py,sha256=YbCcMPHP5ZTGG4x8i6dBTAesXR108M4q4n7dgG7BSv8,1566
pydtnn/converters/pytorch2pydtnn/layers/normalization.py,sha256=kBePEyhCvv-ZPAKjBclQsZHGFzLuWNRP_Zqj0fvwo74,1348
pydtnn/converters/pytorch2pydtnn/layers/pooling.py,sha256=2wK6kgNs1Hqgksdw_IK7QkUqRMMcRds3L_6caX4vsIU,3389
pydtnn/converters/pytorch2pydtnn/layers/utility.py,sha256=FIeMNkIhI6oZXzhPd0ww5SmXldhhW1u5jqPcg823nNo,1008
pydtnn/datasets/archive.py,sha256=RPKIVHQes6FcyQcjMqfLc5JsR90eBp7qQ9QWGVGjpO0,2169
pydtnn/datasets/chestxray.py,sha256=h7xiwev6ekFe7v55GSEK9STakW-bPOWeO33WmHU0SpI,6769
pydtnn/datasets/cifar10.py,sha256=f9YotUZw0UqOBFVqjWe7jWErplXacK3kz6HKt-4pgLk,2863
pydtnn/datasets/custom_dataset.py,sha256=Fj9sXUm17E6sCHoQbinX0brFtSaLpRzZh56Z8lgwLiE,3404
pydtnn/datasets/cyclone.py,sha256=d389GrY6q6CBEDitMorNR7DRMGF3ayHI0oVMRlhyePI,2636
pydtnn/datasets/dataset.py,sha256=TuIVZdFgoHmtzmOFxK8E5Ttd1XXzhlyE6t0b85xDOf8,21006
pydtnn/datasets/folder.py,sha256=VI2iPU7-3CFAy5oRs7cHz5q2-M_AN-NBDe2eUdVkf48,5495
pydtnn/datasets/imagenet.py,sha256=Y57ygZIKDLQRkfgatsgcxYiv0efyLo9H2Vbtr317T3k,7511
pydtnn/datasets/iwslt.py,sha256=Em_K_IkbW-zuvX9j-rxSWImGchLd1GjtF93ybK9Z5Pk,9438
pydtnn/datasets/mask_lang.py,sha256=gcAm3KoY9IRJDDe_iBRvmsPWD5-TSDlYLSNrWdTZSWA,6247
pydtnn/datasets/mnist.py,sha256=_8P8XqGPzMancstRPH1am53M_3C4DV9FhVBAtYiWFfU,3763
pydtnn/datasets/synthetic.py,sha256=H8Rcor9RBRtsbtxCUYKRo0gs-WMDCoG35r-IUqPgK5A,3866
pydtnn/datasets/tsunamis.py,sha256=p25b3PZ-0K0oY2c-XkH7fx0dV13_XcaQHzefIlWKd6U,2641
pydtnn/layers/adaptive_average_pool_2d.py,sha256=0XoClqgErvIVcWOgdYwXkDWkrf6VHSHDZiGboDxRU7Y,1760
pydtnn/layers/addition_block.py,sha256=xSUYEzdz0xtp6kXEtDBdb0NyKeaZGWlugjylJcawguI,172
pydtnn/layers/average_pool_2d.py,sha256=QrWTOG3urc-F7pAni2lPrmxGFna7MYehkD7rYG29T9M,175
pydtnn/layers/batch_normalization.py,sha256=-bjp4TwB-sYQn5yBnZqoLzt3U918fv-KZq1pXfM5EMs,2262
pydtnn/layers/batch_normalization_relu.py,sha256=XsN85hHM7Sp1L648cPZKCO1EirrGRaAyD7qyZZF5oBg,244
pydtnn/layers/concatenation_block.py,sha256=9sQM6ao18dffQto1BX_WekAwqQvYcam5OBq5CkGKJ2I,1782
pydtnn/layers/conv_2d.py,sha256=y0f9prTc31cDi1dxww57iS7gZhMjCDe0cb-ouMXul5M,5106
pydtnn/layers/conv_2d_batch_normalization.py,sha256=8YwwFyZ7BfBjYhQ3nk5RZs5urZlidsmGU-scCby8vFs,299
pydtnn/layers/conv_2d_batch_normalization_relu.py,sha256=XrY0GBZ_cSMmE2OfMC34-j2AvcZ0M-nPRv50HgP2VXI,302
pydtnn/layers/conv_2d_relu.py,sha256=gi_a2g7ViSe_34SwjOsQKP-Mk7kwz5dNHbwzsrLcr9s,197
pydtnn/layers/decoder.py,sha256=7BHxABo3JhVOGdRbDg7P5S5OGPUfpzPuhZBIfS1GolU,446
pydtnn/layers/dropout.py,sha256=PkV9NFy1QTsYeuAEa0gmZ1lo2ocrG0qPdprydXzHLjg,404
pydtnn/layers/encoder.py,sha256=mZz8Whmocvwkmk7pWAwZj2Q7KyZjZS9b4yKKYuteZoI,478
pydtnn/layers/encoder_decoder.py,sha256=-2CIAYtFby14kZyy2FfW4cJzM6CpVG3o57qz4LlhQUw,1018
pydtnn/layers/fc.py,sha256=IJi6OHVQpSj-KSeyVEDik3cquXF_kRazQPv6-Se-_oE,1122
pydtnn/layers/feed_forward.py,sha256=Brm02AgdbxRaB2vFeOkE3alxGwH2QHlOHFyA8a9tmaM,387
pydtnn/layers/flatten.py,sha256=PhQma-4-G6uqARYda8sYOJtO5D9A4kZ2b2kq-ub3WUY,337
pydtnn/layers/input.py,sha256=nL2-nw3WCXLbRW28yf9zBhzLK85KbqYyYt5UclA4FDw,294
pydtnn/layers/layer.py,sha256=nDxP1zOQN1IbhfYPyTmB40MZLLbXMyPefuqIKAEr79c,423
pydtnn/layers/layer_normalization.py,sha256=9VMZd8UcCEu2WAmi5kdxzEO7qDkBbK--5Lig25rTVI0,1215
pydtnn/layers/max_pool_2d.py,sha256=kMBRNIo-GJZ1PvE89Rsi8UGDCa8xTKu37HIlwK_FPfY,171
pydtnn/layers/multi_head_attention.py,sha256=MrTSMfcu6pJ5OX3qypXsMA6VhoNdIJB6IDtaUnaMvnU,649
pydtnn/layers/multiplication.py,sha256=SfyOP__cothwTreq65Hk7LltPK6eJkgwQqSg24kXjjM,132
pydtnn/layers/scalar.py,sha256=-4TwMf2qizKLh8AWG30NphZqmmth1GHAGYCJD21istg,256
pydtnn/layers/abstract/block_layer.py,sha256=zKISZZw2G0RZwz8FxmwReK7Zx825g36DOQBOI7fe6NQ,2026
pydtnn/layers/abstract/pool_2d_layer.py,sha256=ChHEosAwU96Omy0ZGNs565qSkXXrswQ2aWGffyBU7-E,2178
pydtnn/libs/libconvdirect.py,sha256=2JY0RdrKVcPtyb7hlrRVpRLsletAIbhlLdAUodbviN4,12980
pydtnn/libs/libconvgemm.py,sha256=gN-Ypl72o-7psj9NukCinq8uUaDU2yRWCARDp3k94Oc,21211
pydtnn/libs/libconvwinograd.py,sha256=KaJ0839mzth2MiCiTVhNGpVm1fV6j0DIXNe3MxtO60o,41402
pydtnn/libs/libcudnn.py,sha256=7fVt8yQhZpaNotSN2YP2dggS39IcEzarsiLxW3_ZmTQ,170197
pydtnn/libs/libnccl.py,sha256=6EjMmrWrgaXRp-xLcF1K-M4FdREKX4rnvbtBqFYU9mc,16053
pydtnn/libs/libcrypt/__init__.py,sha256=6IVX76UJBPlXD_arO4qTfnfPjGqHWbxTyPRn6vRspOQ,3702
pydtnn/libs/libcrypt/openfhe.py,sha256=x_AC9oPxiB6mZW_jJAy88RgGT1nrsR8L_3hQu-guIrs,4059
pydtnn/libs/libcrypt/tenseal.py,sha256=mMdQ_nUXSn4CDtcgFmtWZU8H91LiwblLXHAfFA32x0A,4331
pydtnn/libs/libmpi/MPI.py,sha256=koC8ji62dRc_-BQhc2hz88thjYM-ruxfOmZmZCQklLI,439
pydtnn/libs/libmpi/__init__.py,sha256=i5gQRRhEIm2BZ83ZTsso4UE2l2yDxykrBr-vkcolWI4,433
pydtnn/losses/binary_cross_entropy.py,sha256=clIynkkgihjJqFzmyUi0rgB0ciWjAhzLP4IjiJe4YLA,149
pydtnn/losses/categorical_cross_entropy.py,sha256=r7Rd_ZNyjvbpJx_MztYhKt36qlVvWLGtEjdA2LNLCCY,154
pydtnn/losses/kl_divergence.py,sha256=hYFFKi3TwS6m_zgcwd220CCQN9zeOmGP2gPWzqGvfTI,143
pydtnn/losses/loss.py,sha256=KNxHTcnoSmcrbrok9D-257bNGVGdI0596mM7y8_2htY,629
pydtnn/metrics/binary_confusion_matrix.py,sha256=J3eLkBhj9g5T0TjJpWmuzGQXISqoOEt7mTjpuQCpvZM,204
pydtnn/metrics/categorical_accuracy.py,sha256=02hQ5fXp2l4b6LHwS-lOGCaicggOiUvfm3Dg7f7bqsE,160
pydtnn/metrics/categorical_hinge.py,sha256=D0GyO5tmEL1VPZtNaqyPFFscdQMxUC5r5FdYEDKoBYk,154
pydtnn/metrics/categorical_mae.py,sha256=eFXov0U6zEx1HXO5xZF572-j1-LzCwWOQrbLsSn4MxQ,152
pydtnn/metrics/categorical_mse.py,sha256=z9dULyxikQhuCMdj7TZlwSmLzpTLaZx3c7WC5-rejkE,151
pydtnn/metrics/confusion_matrix.py,sha256=ZeOraj9yaMDViDrCK7s-KAdnlICfq4ujDSvAj5TzWb0,137
pydtnn/metrics/f1_score.py,sha256=q_hB1mN0BId8WhYWak0EcXl36fu6D5_Hau9YId3P-yY,681
pydtnn/metrics/kl_divergence_metric.py,sha256=E_3qgqVEEB4skOXoq-eleNrx0ZIXs4ZIQCFCgL5rj0A,156
pydtnn/metrics/metric.py,sha256=pbrWmZSyR33gusKSn1FBJ9BsjtxEZPHQ12fjXQ6BYCU,676
pydtnn/metrics/multiclass_confusion_matrix.py,sha256=30jfB5UwgHATUC6APybCvZzDdh-u6_qtERc4PEsLkjk,173
pydtnn/metrics/precision.py,sha256=kRyfCCbwBOaWfNXPNp1aTBYuGXuE3sfE3BwuNxwdzyA,689
pydtnn/metrics/recall.py,sha256=IbDqas7fezewUZFitvnQNxuL_SpxpwkptWeNzXXO684,679
pydtnn/metrics/regression_mae.py,sha256=JpDWuRysMWvzYwT40uNlg_QufhF6-811DFw98iVfVvw,151
pydtnn/metrics/regression_mse.py,sha256=vKuDsA1lssQKNmntYbd7YHYy9Xf_AFX86whne6IZJ94,151
pydtnn/models/alexnet.py,sha256=gYZ1aQcx4Or-eFdQPDV_oOrutX4_THPWGDZCR0eVNco,1381
pydtnn/models/alexnet_cifar10.py,sha256=Jcd4Gm3ehrXfZp-HNoeNwETHyhsTuj1Z9fA_cMi4VTw,1387
pydtnn/models/alexnet_imagenet.py,sha256=tovSk-ij5YNfWoRlMNTLc0T3CqR-iXKSgQkAcUBKA7I,62
pydtnn/models/bert.py,sha256=CdzzOEcRtmYZtigY2zm6W3ZXpZE1arn1CMlMP0PIH3s,1278
pydtnn/models/densenet121.py,sha256=lPXAVg4L3h_cxDWsDwV68_asv35r4FYH14IvdT6ZQ4E,2093
pydtnn/models/densenet121_cifar10.py,sha256=dtlDZ4ACkOqKvrEAC18lxvcLS45PGLH8RL3C0Y58UAc,73
pydtnn/models/densenet121_imagenet.py,sha256=0dZne5JiTIRChtlAL5veQLQcAw0OC1IUUu-Y1jiORoI,74
pydtnn/models/densenet161.py,sha256=OnFz_5bcBGCdumMQnWeW2Wyj4gVa2SBGAFIwk3-A0fo,2093
pydtnn/models/densenet161_cifar10.py,sha256=sJ08oZbVzENOR6IfjfgK2rSsQfqU2SaKB0-QAAvnjmc,73
pydtnn/models/densenet161_imagenet.py,sha256=IFUAwpw9Ingo6o_fpZbWGqlx5y2UpSybicQHDiHwqtA,74
pydtnn/models/densenet169.py,sha256=E5A0rAGZJel1-K-AeA6zbIv9Pzcm7yNi2nCmFwqjmP0,2093
pydtnn/models/densenet169_cifar10.py,sha256=1JAPc25j-q87-ch2bxVcQT7QUh-u92rAx1i27-bS_vU,73
pydtnn/models/densenet169_imagenet.py,sha256=RTa8WYC-7joYrBFSyEP4JrjNJyMwpqt272w2E_8_y_4,74
pydtnn/models/densenet201.py,sha256=EBP44SshxPEHhJIgLfR6P6p6e0XQPbfP0afWGVKZnS0,2093
pydtnn/models/densenet201_cifar10.py,sha256=fpGMsVGmeHiQpMWVdkgrVS6FOvMsTisTpJYwPO3BU1U,73
pydtnn/models/densenet201_imagenet.py,sha256=yiVY5--0FSMq9UzFWHX-sXYgAOD7H6c4FoZUgfRRhJA,74
pydtnn/models/densenet_cifar10.py,sha256=fPe7jNNJzjVi3LCmidQcBBpzCq5r23R-xx1xlRli2mg,2083
pydtnn/models/googlenet.py,sha256=FVo-hXX6usCq1oWRxeGKKHKF9IQTN3VYSpkqcJ0wOTc,3484
pydtnn/models/googlenet_cifar10.py,sha256=EuMu9yWPSqsfkgd1z2ueJy3ft4FR2WaWVZDrWuiKexc,67
pydtnn/models/googlenet_imagenet.py,sha256=QSdFNSz8QvnEWpcjffjX7Dd1JsBK7KuMp68OHCDektQ,68
pydtnn/models/inceptionv3.py,sha256=asRNEsuO5nUMurcOL4KftWEcUvm4I5RX86CK_dX0SxI,6634
pydtnn/models/inceptionv3_cifar10.py,sha256=5iXQ71Mpl_WP-VjOL36S5S6qay9HjdJmrN6_ALQpZMM,73
pydtnn/models/inceptionv3_imagenet.py,sha256=i97CcUQZksIi2Gf5iDU-Rvgs2rt9WwXExqvSTN598wE,74
pydtnn/models/iwslt.py,sha256=HgL_a2bIgK077p7lwhSsyMjw6v8M5aAgxB0tBGT9I7g,555
pydtnn/models/mobilenet.py,sha256=BvXVvuz_HveT70wOi1josNWAxv2FU232x_KpSILdtQI,1863
pydtnn/models/mobilenet_tf.py,sha256=HhFdAhSPoAOEqpVi68siCw1rnA2UyWNkv4d5iMmAzow,1973
pydtnn/models/mobilenetv1.py,sha256=R41ul8BnwOAZqBCeZMIWvmw1lSj8VuQjoGmMy4z0CFI,1533
pydtnn/models/mobilenetv1_cifar10.py,sha256=FqZppU-SUZt0AJftwOJfRL3kccFukyeDhCV65MUAjds,73
pydtnn/models/model.py,sha256=SpVVWrzaugc4zaLjmepUuQktYhXdCSIOWLG5Wyt5wuE,309
pydtnn/models/resnet.py,sha256=MbjSN8nuL5nbD0ET3-legbUcznireiP6L8nwgXKQW4A,2478
pydtnn/models/resnet101.py,sha256=46YuMn8kBRm2bJ--BQDLLUIBNH-HXLHqVeAcFK099-E,2256
pydtnn/models/resnet101_cifar10.py,sha256=GSa8omStlJsyV_oH9ie5jrJ4Hn6rq-aicd6XEoyCkwU,67
pydtnn/models/resnet101_imagenet.py,sha256=IJjAldIkdyBqcEoqTg2Noqvv3Q-yNfF1bqnW1ERVPWQ,2187
pydtnn/models/resnet110.py,sha256=zEibIW__-05bAVFAgJ_rgNXsp33ecYGpq3YA_9Z3O2I,1994
pydtnn/models/resnet110_cifar10.py,sha256=1NqIbEverZCMfdGZgTMU83Duo8sG-JsjLztFoGlb_Mg,67
pydtnn/models/resnet1202.py,sha256=tAyrHGRphFnE-tCmtToHNqeg7y21pD98KJZoCGBehWQ,1999
pydtnn/models/resnet1202_cifar10.py,sha256=EMh-aMNvPwbbqJTBR2XHyrSKzNe3Q2_plAf8qpKyJXM,70
pydtnn/models/resnet152.py,sha256=LyvHotIT4v6bADWdGsa70prkBkaKBP860x6iKXUsRLI,2256
pydtnn/models/resnet152_cifar10.py,sha256=b3HgsEponk_iK59rTCNsBUtd4xuipKefTN1Ags8lsPU,67
pydtnn/models/resnet152_imagenet.py,sha256=tpYZQ_uUyc0hP9YeQZDj3k_mGGPlR_RTlC2dPESXbu8,2238
pydtnn/models/resnet18.py,sha256=sMVelOVxMs0pXcBqmdcPQXiuAD7SwuTZNrNvwZIkayQ,1995
pydtnn/models/resnet18_cifar10.py,sha256=ucG3UvkXRJ5VD-Zdb7Gq1MiXfedqA9jLgBdafuTRpAI,64
pydtnn/models/resnet18_imagenet.py,sha256=WtjOyZ6eesn-F38_hdginSYbJQ8seANlshEQoLzmoTI,1938
pydtnn/models/resnet20.py,sha256=4Q8OLO_rSuJKLkDQ5H9YvTUQ4d4TW7vWec036jiuOLI,1979
pydtnn/models/resnet20_cifar10.py,sha256=wp3ZmyKF-Psfpnc60vuVk8g7OKbVnkVgwew63KrvOhE,64
pydtnn/models/resnet32.py,sha256=dtDAJ8mxdE7VSTM_ZgiWGiFDK7kTHq0cVBchkRXyYu4,1979
pydtnn/models/resnet32_cifar10.py,sha256=eP_KWks4zhAmGY4RI_VtTm32PrnWqJKPLOPkTfsptys,64
pydtnn/models/resnet34.py,sha256=MvRYjfNa3Y3GH1FAyM2chvHsDX35TJaXZEHhQ5Ql4H0,1995
pydtnn/models/resnet34_cifar10.py,sha256=6-QSR_I2gql6FB4DRrWDSFA3m8gmp2CmmHEpBkLM3vY,64
pydtnn/models/resnet34_imagenet.py,sha256=H6pphOwBhsHa89TclJfkSRZZKKziqI_t7ZTfqtd662c,1938
pydtnn/models/resnet44.py,sha256=fC2D7-Jy-UkX03kpjd6eMsoookED3BqMJ7gsubPZq6o,1979
pydtnn/models/resnet44_cifar10.py,sha256=fimDwGIAvsyxhWRSaUAVrDhrWNzkSW4MZ1XLBzMzjIg,64
pydtnn/models/resnet50.py,sha256=uqYuZq3Bm02x2vICq--gGYpgK4jEvlFB-L1x9wBFvvU,2253
pydtnn/models/resnet50_cifar10.py,sha256=4ezpDz6Od7KY-JNSw1W-hr4F8-kN1qSizILafLGVEi0,64
pydtnn/models/resnet50_imagenet.py,sha256=XN5bqOs9S00oNqsAkmYC_qhfnUi-7Hm77jpf-J1kPdg,2524
pydtnn/models/resnet50v15_imagenet.py,sha256=S5BwDRriwZijA6Bm4fyQMuVZhDmdAAG3vKD5YxWoFQQ,2519
pydtnn/models/resnet56.py,sha256=XrmXGKUXuLCBWALW5Dc2pPyKTorar_8aiLCXgK7WzN0,1989
pydtnn/models/resnet56_cifar10.py,sha256=RWRebN9J2BKUo3K5pTT1Jn78dPselw9IMycTu52Ki6k,64
pydtnn/models/simplecnn.py,sha256=VvJTqO6oUgUFs6XaXp_PN94kLaA9ZAT4bu30v35ewxU,992
pydtnn/models/simplemlp.py,sha256=B4q0VEzEMi_fjYm27DNEt-kFRIpbUigYFDvwHlfnRO8,667
pydtnn/models/transformer_test.py,sha256=cMaMwTazEwntPjtTV-39wU46qQ8h0K6zqJoBbvQJz_Q,619
pydtnn/models/tsunamis_eflows_UMA.py,sha256=4j-OCbociZ4aHA71IWqMkVFl7o2BDMVeQG5LKVVPK4o,2224
pydtnn/models/vgg.py,sha256=Ls2M2tgOE0Z8PsB-js8fW2pWm2J-Mrcveb2mt41eTNk,2382
pydtnn/models/vgg1.py,sha256=q0PSTowTxLmsvi5-k0VVZmkeKfSF-ayASaMg_7N0_3g,1012
pydtnn/models/vgg11.py,sha256=0G10u4samL4_QJxSezaoD1e8xYt-7Nn0OxHN9JV7wzM,1104
pydtnn/models/vgg11_cifar10.py,sha256=tlG0kcOhT7CCOG9H7umZ9v2bLuXo6-a4Shy69-bUcVw,55
pydtnn/models/vgg11_imagenet.py,sha256=s8E-x9NqXSXZFX-_QxPtkzBPZlmlCvEcv1xM7DT6cwc,56
pydtnn/models/vgg11bn.py,sha256=zFKWkXq1mUkh45mnC-Uk_jbc0j1zo872TB4U2wKFMVk,1478
pydtnn/models/vgg11bn_cifar10.py,sha256=Z1AXPmDjPHBHq5OfoYKCAl5S5Y-4jdfem2ort-AmdBI,61
pydtnn/models/vgg16.py,sha256=J9a8cE0ApHIsXg3wGJxI0H0rFuK-1SfW1OWUKpQ8jgo,1100
pydtnn/models/vgg16_cifar10.py,sha256=035swHDIoQUMaD2RIKBwNrepC_VmwrT_66kzR1d_Y-E,55
pydtnn/models/vgg16_imagenet.py,sha256=VGj_KxNE9vwabbtjYgpb6taPc3Eg70FPuuMB2kH1SAE,56
pydtnn/models/vgg16bn.py,sha256=2Rt2xSo-pCl83yXlKjh46BfCNpSffLpwQ7M6CL2FvX4,1437
pydtnn/models/vgg16bn_cifar10.py,sha256=_lGhBivxvU91uqzHNVK2D_B2KaUnQoipvWw3BzemAv4,61
pydtnn/models/vgg19.py,sha256=GYnpq9P-1AHkJz_0ZgKUH4CMg8siO9Q2oZbKisn0rjc,1292
pydtnn/models/vgg19_imagenet.py,sha256=40Pv-b1hZeCZDvO7JUMBzf6wc6PVz2t7sZsgApjolOs,56
pydtnn/models/vgg2.py,sha256=DAIvTHBIIaLE7rTBzPfxcRPfnMUgD0VVyp36bJtFJNY,1341
pydtnn/models/vgg3.py,sha256=TnWvM3p4VQJFo8h176YRgONwHsWBBxpNtS9SZxeZexs,1538
pydtnn/models/vgg3do.py,sha256=nWVvGtyaxuOXdEaSx_8waINbfoOl2KvlhpJ_9FtnF3I,1682
pydtnn/models/vgg3do2.py,sha256=TvJzmSDW2rEeH85f4SIafxM1GL1RAkqvo4nG3aMsitM,1683
pydtnn/models/vgg3dobn.py,sha256=QOMGzNsMvrznpCji_AVTRSCI1oMPONd0f04lwsrOGlw,1275
pydtnn/models/vgg_tropical_cyclone.py,sha256=8FUK_4fXZfYb_qJtUsVOTOZcIq1fXPEVYljUGBVv9tY,1084
pydtnn/optimizers/adam.py,sha256=US3bDrG2my6Jz-tAdTAdYc5oHCS_Bsjj2Jw2PJrw0F0,1039
pydtnn/optimizers/nadam.py,sha256=0jMZTKmn7ocBmGXXX88RBFhhee_5Q7zGcSl0YBeZ3qc,1019
pydtnn/optimizers/oktopk.py,sha256=ujnCOzK0UPlrIirumUHMA2O7j8rXRvT3TvTUJB2n77c,1670
pydtnn/optimizers/optimizer.py,sha256=ud9cgy2ucM-9i7e9bH5qx_3sgWMYYS5zsD_e2WXI8YQ,1006
pydtnn/optimizers/rmsprop.py,sha256=o510Z1dAjHEIA_4N5JaHMLDttF_ploqjodDpj2UEzH4,926
pydtnn/optimizers/sgd.py,sha256=5dysp4Xqn9bhzGDNCRa5ZWV-qvb_vNKojjFU39pAb3c,944
pydtnn/profilers/best_of_profiler.py,sha256=VRji5kp88N6sd_xSomZmvrm5rv1sZDSL01qeHpXjnWI,2006
pydtnn/profilers/diff_profiles.py,sha256=HONzD-U96U9go8gdh_2hYYNY3nZ25RI9MN_tLeDML3Q,5625
pydtnn/profilers/extract_profile_from_output.py,sha256=uW7w2JxgkXbmRT_QRdDRTMrJ0VkGQTowpCYSbgMlJzw,3303
pydtnn/profilers/profile_best_transpose_0231.py,sha256=Jx3hI_hUZAdL8xZNacqUdByV06tgMsILpVslGVoC4wQ,693
pydtnn/profilers/profile_best_transpose_0312.py,sha256=F-sBfJLUEtGjssi_Jyp3gfuck3MCPHk3PLSbSA8Qbcg,693
pydtnn/profilers/profile_best_transpose_1023.py,sha256=Ys2N9yqlPBYhoeL0_gkUwVslSoa68qS-jmD0EGgYjmw,693
pydtnn/profilers/profile_conv2d_conv_gemm.py,sha256=I0pfe_AfLTwpquNhPGEQfEoAPdGKfd-dL8xSQzUurpM,10168
pydtnn/schedulers/early_stopping.py,sha256=jyYYqjidy2p9nthtxOfkmXhImQt1Ibg1gle34UxNf6M,2082
pydtnn/schedulers/model_checkpoint.py,sha256=db-b4fwseDQ_uXsdMeBxQzO8a-a-1RZtL79LobKhrqY,2031
pydtnn/schedulers/reduce_lr_every_nepochs.py,sha256=iT50vwc1BQ9wn-CcywSmx2vohG2FahvCeIknelIMOZY,1154
pydtnn/schedulers/reduce_lr_on_plateau.py,sha256=fQXiz81du1QR7fQgTbrAQoG4xafuZ3GfrdntOM4_lCA,2036
pydtnn/schedulers/scheduler.py,sha256=HYssw6EnImIFSZmUiYv0NzaUzXHexi_cGD9s_AQFh30,1073
pydtnn/schedulers/scheduler_with_loss_or_metric.py,sha256=i0ZpvWqoiyYOInoE7s9oQ_N8H9RR0D33Ljev565GyxM,916
pydtnn/schedulers/stop_at_loss.py,sha256=llp701yRmlg_JJa3pj5WcorEvL29XXbxFUV30MyGoqY,1282
pydtnn/schedulers/warm_up.py,sha256=npT32VnaQnmVG-R6gq8DB1RuufJ9HWKklAU9VSuk84Q,1102
pydtnn/tests/batch_normalization_relu.py,sha256=3t-ohKK6ImtySd222Hejdl7Bb-R76Qs-Fp-r9z60yAo,3532
pydtnn/tests/conv_2d_batch_normalization.py,sha256=KSl4AksvC-EEcUMu8RL61E9iTCKhNJ3mT0MKWbw9IkY,4172
pydtnn/tests/conv_2d_batch_normalization_relu.py,sha256=yJt1N4bPkmQG1EAPsOgWcCX_pvxyhN9NPvM7StYCNqQ,4295
pydtnn/tests/conv_2d_conv_gemm.py,sha256=TogW9S0lJkNBormOZfTPlqeD9NkWJxPiRxr96V8qzNI,2309
pydtnn/tests/conv_2d_conv_gemm_slow.py,sha256=qa65AQbJZUqSPuoHDATN0G6Q5Ngnm9XRRg1FNurqWEI,2723
pydtnn/tests/conv_2d_group.py,sha256=-f2YoBVOa8gRxFLQYuPpNHz3NsnrzDuritJr4hPPJKU,3207
pydtnn/tests/conv_2d_relu.py,sha256=LzzTv33KuS4XQPNVSCbFe3OUdG_ZJOSk-pMHXyqR4oE,4058
pydtnn/tests/conv_direct.py,sha256=M4fr4Fj7xK5JdAlEJTXNrvEvfb4ErXbq4R3yeMw0878,3699
pydtnn/tests/conv_gemm.py,sha256=YPCsVjyhq7kZHYGrHiENQo8qGblXKlrepUabKn4f5Io,3593
pydtnn/tests/conv_winograd.py,sha256=9RiO9Vp6togjaR91H7wVsUmNi3NtckbPjZ6wfzsYjgo,4895
pydtnn/tests/layer_pytorch.py,sha256=SbFhv-bm8F6tFiu8MUCYVHlCEMjT8F7RORK0VSqhamc,22133
pydtnn/tests/model_conv_gemm.py,sha256=EdtWtqyImTka5mAhIQXgzEYq9pkCl71pf_t2_0eZ3qc,1400
pydtnn/tests/model_dtype.py,sha256=4ACubnq6Lb0LU1EDBknAZ-mOBgnx9lUswTBtn23SHJA,1316
pydtnn/tests/model_gpu.py,sha256=ydip3EHhU-h7b8A533sMmKGUgYeJWJ2bNNtyDDKxm-8,5129
pydtnn/tests/model_tensor.py,sha256=yanr9HNViSmIMil_JWTKjQiztNdF3ppWdKNKzWDOzxg,6828
pydtnn/tests/abstract/common.py,sha256=MS45lwensg3iUHRWSUtLPQuZFmCtYzYkLVjp480NJsc,3718
pydtnn/tests/abstract/conv_2d_common.py,sha256=YjrQ9HLsBvEEDei7L5rc5TJL6CEm6D33ci8gXIpSdrI,11594
pydtnn/tests/abstract/conv_common.py,sha256=i8leC8X32-bw8-9nDqHfDGKuJPe9Iri88i87p09PixQ,20797
pydtnn/tests/abstract/model_common.py,sha256=LMNKLq89jgS9vti6-_-ZsyqJqAoAyIQRKPXlRYBWom4,11366
pydtnn/tests/groups/all.py,sha256=K_zHsJEC9YKHkBn1DPocgQAMcAbNOKeSzmULim0hFjI,1369
pydtnn/tests/groups/fused.py,sha256=3OgnMK9YIqk6sBcgbtepTWLUVMosOfZsVbR6CzFe2j8,350
pydtnn/tests/groups/layer.py,sha256=MV8gcSqAeWiMUaM6KtXIaCP47CIhVR1Bik43a_GFQgA,188
pydtnn/tests/groups/libs.py,sha256=PMmKhkCy-7iubT-xHStmmFmiAEmY2w13RZMK4tl5k3k,638
pydtnn/tests/groups/model.py,sha256=2wssVDxHr8GjYIGQ7VtvBw4CAzKFHcE_8YLv8uCCu5k,290
pydtnn/tracers/events.py,sha256=a-dqUFJISxpiwiAt80Eug4S0staofvtNZQQVTvQ7ZoI,3484
pydtnn/tracers/extrae_tracer.py,sha256=12BL20sPhnIi-WTldDg3SUnDzrxNiX1mN2DcsD-fOrw,1804
pydtnn/tracers/simple_tracer.py,sha256=pgkKYghQgvbSWD4TsyKYpKEnotg65pvq2astOA36Vmc,3408
pydtnn/tracers/simple_tracer_gpu.py,sha256=uv9hmxGPxR1l0X2oIoll3rsAPY-XsN3DBo_WEP1cvZw,2535
pydtnn/tracers/simple_tracer_pmlib.py,sha256=rg28gEqWFzCZMJgK3mSk7cSh3WD8DnettCV73xh39Dk,3565
pydtnn/tracers/tracer.py,sha256=R1Pv3mNggbg8jOXqiLbBzY-bfEYXauQfG_V2S9x3cAg,5656
pydtnn/utils/__init__.py,sha256=myTIgqmE4cNAdlDsXRoHMSt0k-CBi0uKNMudxG5k4aU,9493
pydtnn/utils/best_of.py,sha256=0HFm-DZzAB0oe-PZHeH_Nchziji677CFvjSToh8KiYQ,22955
pydtnn/utils/best_transpose_0231.py,sha256=9UbuQCqun8kOf39oroRfUJgf2V192L_mN6uWyU9TMls,1848
pydtnn/utils/best_transpose_0312.py,sha256=mNWd-6rA98KdbaKFldAZ2eYqQqrfbXRsFUZgJrvS0ag,1812
pydtnn/utils/best_transpose_1023.py,sha256=wx-9cJiBMlV5JkIWqE5BwuCrHslTGRJ3bi27fnw_6GU,1799
pydtnn/utils/constants.py,sha256=Czj6ecj4mSKhE4vKybnN-zUn14TVQPqBhC_z4JT0WMw,1026
pydtnn/utils/convert_weights_resnet50_v15_imagenet.py,sha256=e86IaBuiQ8a3YSO4ZlnJAIklkZuRPbfq92nivFg1pn0,7107
pydtnn/utils/initializers.py,sha256=UoB6tJ9866ta8Gw6yZuv5BQ0L6MXlwBgWGE1jlSXaLM,3616
pydtnn/utils/memory_cache.py,sha256=tqE4thpwJyu625iYsBJqYO81bq3tP7N_5pbOTYdaEjg,1234
pydtnn/utils/performance_counter.py,sha256=WukivoWlOykWR-r7sUTOGi4nal-vG96eH-y3bDW0xDI,6262
pydtnn/utils/performance_models.py,sha256=a3Cx122hml31LOyOi0RxY-lmuRlKbw7BTeo21UDCo8M,8216
pydtnn/utils/pmlib.py,sha256=rO5p3D93eU_SNTg9XKMqUKyyzn8Es1hrcLaxzVHVC1c,10934
pydtnn/utils/profiler.py,sha256=tVZDIWFuthuGBDc3v_7UNTekXQ-Me3oOovtbOYN5_lo,1172
pydtnn/utils/sparse.py,sha256=-I-WSMNqEW-zZWdfEeJoYOhs9p1gfuGB20aLSUaaYuA,8953
pydtnn/utils/tensor.py,sha256=70u1-elKrZEK8-e4ukGCCvTKyBHridHCOmRJvL1P3OI,4258
pydtnn.libs/libgomp-6456b504.so.1.0.0,sha256=Ay5vAXGFKUgQhMlrYG1O3prPXreYjP4YpujZvLFv_lg,366633
pydtnn-2.0.0.dist-info/METADATA,sha256=SSeaSn1fkSSDkfy5hlUcmfYbsv7DhtUgK_yEwUoXvVA,48978
pydtnn-2.0.0.dist-info/WHEEL,sha256=b9Xh2BKkgJY24AzgaUkxxhJnrEOusJ8_J7UPndYznIc,113
pydtnn-2.0.0.dist-info/entry_points.txt,sha256=KnGpD6BSViDT69r2Cp0D0jig6LoqDUby7T_ejFhIM2E,66
pydtnn-2.0.0.dist-info/top_level.txt,sha256=Rg-8rpfHXL1OaciMWxKjJLEpvNGob8PR0Lua07Xv3ig,7
pydtnn-2.0.0.dist-info/RECORD,,
pydtnn-2.0.0.dist-info/licenses/LICENSE,sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY,35149
pydtnn-2.0.0.dist-info/sboms/auditwheel.cdx.json,sha256=PfyxMGBkgFZPnVR4O8r9PicUg2P5ZPq-_4Yk5DLGOrs,1224
