| Path |
Digest |
Size |
| timm-0.9.16.dist-info/METADATA |
sha256=2vCjcDevacn2zFGVNEw5dDVgjGsFj1wvt6pO4BbTyGs
|
38468 |
| timm-0.9.16.dist-info/WHEEL |
sha256=N2J68yzZqJh3mI_Wg92rwhw0rtJDFpZj9bwQIMJgaVg
|
90 |
| timm-0.9.16.dist-info/licenses/LICENSE |
sha256=cbERYg-jLBeoDM1tstp1nTGlkeSX2LXzghdPWdG1nUk
|
11343 |
| timm/__init__.py |
sha256=0bkaVTGjSB6BZhqG8Fw6PFcmGXI47BdNt4cg-eA_QdA
|
292 |
| timm/data/__init__.py |
sha256=z6Rudp7e489CWoOw3TXBMG0A1mzXSgGBWz5MptnPAW0
|
819 |
| timm/data/_info/imagenet12k_synsets.txt |
sha256=9kg-efGKm2cNQ9kV3bpAu8r4LPxOkqB71EBXudRJNfM
|
118210 |
| timm/data/_info/imagenet21k_goog_synsets.txt |
sha256=ZjYr3t822TM4LtylST_FYtzBcSjONkA8nnMKdfSMsvI
|
218430 |
| timm/data/_info/imagenet21k_goog_to_12k_indices.txt |
sha256=a1iOnVXH_tZ6rILpG-6r5-rOLeHtZxFQEMoHYXnoxQg
|
64070 |
| timm/data/_info/imagenet21k_goog_to_22k_indices.txt |
sha256=hqdngDZvgHqfgEYX6iRMob9YF0FNAzDPEbop4oXBzFc
|
119937 |
| timm/data/_info/imagenet21k_miil_synsets.txt |
sha256=zXbZd9qqLxOkqR_KD1NxPy8pZ1MI1M4PDuDlsHoxZMY
|
112210 |
| timm/data/_info/imagenet21k_miil_w21_synsets.txt |
sha256=9J3ePWmUa4Y1WGQy8081mF-AfRaChs5f3nRqrDp9lMg
|
104500 |
| timm/data/_info/imagenet22k_ms_synsets.txt |
sha256=4Vnv059w0m-neBjxeEF-j6x59ltzrBbRAVFeEgd0MeY
|
218410 |
| timm/data/_info/imagenet22k_ms_to_12k_indices.txt |
sha256=wMkQkjtw2JKm-KzN6bDKvaqN1nuMD8_QuC1IFVei1js
|
63625 |
| timm/data/_info/imagenet22k_ms_to_22k_indices.txt |
sha256=Sp_dB0M-ncOF_j_rAhWGMI-JSj3LhfSIKyXtIEz2MyE
|
119938 |
| timm/data/_info/imagenet22k_synsets.txt |
sha256=CuJFOHUZc3l7KdjexBKyvcYbxOw-zQgeugc1gEI2u9I
|
218410 |
| timm/data/_info/imagenet22k_to_12k_indices.txt |
sha256=0_-qtIBkurHqfOFibHL1oBHuRQPKxhK5DuHaDRR8joc
|
64070 |
| timm/data/_info/imagenet_a_indices.txt |
sha256=6BIjo1rdbnj5r-byFWUsGSbr7-HY78JsbpI9eskUOTc
|
774 |
| timm/data/_info/imagenet_a_synsets.txt |
sha256=mCaiQWbnTOYvuHsniJh0yiaRdULHRXEjCdbiWFXWO8I
|
2000 |
| timm/data/_info/imagenet_r_indices.txt |
sha256=keCdL_CgAhBLwNN6iSp-df_CzA20eytQYEejSTuRFtI
|
769 |
| timm/data/_info/imagenet_r_synsets.txt |
sha256=pqByn3qZIwKAY5yrblHgFIWjtBpnbqNWIaUBydboPKQ
|
2000 |
| timm/data/_info/imagenet_real_labels.json |
sha256=2D6b_zdMYxquhDnrBkxwGazFbhs7w_Vrg4DCpxCwIgs
|
388478 |
| timm/data/_info/imagenet_synset_to_definition.txt |
sha256=GR4ifUj8jHt-LSo8rEH8iy61F9nSgZ0O28kcV2clDu0
|
1748917 |
| timm/data/_info/imagenet_synset_to_lemma.txt |
sha256=G4ur2hh0IaS94MnFoZfDb2vdqWL3yhH_soE4BsuyF48
|
741457 |
| timm/data/_info/imagenet_synsets.txt |
sha256=cAArD_XeYKOheoLb_P8pGTH5YiXd-UGtLhgvw54YPRU
|
10000 |
| timm/data/auto_augment.py |
sha256=E1JZWZLV6GZowIkeAFU0ZuaF7MhHkoaSbKVQogLDinA
|
35550 |
| timm/data/config.py |
sha256=uf2p-mNW_wntCe34K_Xr3J45cJh8IWEl_cMwgyKGR-g
|
4616 |
| timm/data/constants.py |
sha256=ZkSr7QArcsDyOOBRYQpLe4c2VOJKRAYoDRU1JwYJseE
|
442 |
| timm/data/dataset.py |
sha256=WQKkoyZRtgmWbREn-D5i-PyHHgKdVhOWxypdWzpffrk
|
6210 |
| timm/data/dataset_factory.py |
sha256=DakZNEZlCYeKnizm-hXzGtEUEHxg1XypgRCEXS4jLNc
|
8180 |
| timm/data/dataset_info.py |
sha256=fAjTkbi-3oEZveKg-n1cxOYM_gcD5kcUeWMWWRRkhOQ
|
2391 |
| timm/data/distributed_sampler.py |
sha256=mfcS_bzL_zEIREpRer8LAdXw1WvUFYJrXgqKw2fqlHE
|
5540 |
| timm/data/imagenet_info.py |
sha256=c_DKVQQyzHYftgoUO-12BuqhsBJI_h6Scyg6Gzue-fY
|
4167 |
| timm/data/loader.py |
sha256=H3QYKjfpK1IoxRZWEPP1eOuzKr2BlZd0qlYXPi8g7io
|
15511 |
| timm/data/mixup.py |
sha256=-U4kqPGFOZCz_u2rXVXLXvLkdRX1rhIjHmqJfVjzZgs
|
14634 |
| timm/data/random_erasing.py |
sha256=jSTJq-1zGZT1zRWv5ByyBuA4lQdj_EFcoibdLjRQaDo
|
4964 |
| timm/data/readers/__init__.py |
sha256=AuKgQjZ5q9XILIZu6iRDIJy-Xydig_zC1TlaVRmRcCY
|
72 |
| timm/data/readers/class_map.py |
sha256=dMXs4PuEDqJroaOmlBttTpjMlaeXMiB4H4barDKtzvc
|
895 |
| timm/data/readers/img_extensions.py |
sha256=KTtkCyfrOhLwH7vws7k7xshkEqekdrEGZ-rmErySvcQ
|
1482 |
| timm/data/readers/reader.py |
sha256=_Fp97wLI1cxFFI1QlOkvWIKwdmtQaPEgH97KmtQDZoI
|
487 |
| timm/data/readers/reader_factory.py |
sha256=cYqgl-7Ix-xslL83N8Ae6kzAIKlpdd2qkMYciRBO4PA
|
1732 |
| timm/data/readers/reader_hfds.py |
sha256=qriamfkj7z2csZYeIMm1_uzr_Xeel_h_tlgqP3535DI
|
2608 |
| timm/data/readers/reader_hfids.py |
sha256=Ok6dchV4HFPvry8gyELnyxgq_nk6EIKJlHwnjZxCBcE
|
8282 |
| timm/data/readers/reader_image_folder.py |
sha256=_htQ_ouMibCeeemg0097v7nj14qXlFAtpS9HVQwoqNI
|
3508 |
| timm/data/readers/reader_image_in_tar.py |
sha256=ok4IDPkpuu_3RKxK83EEo7zfLPnqJq_x7CwDmepAf3E
|
9182 |
| timm/data/readers/reader_image_tar.py |
sha256=h0PlhmHU_1QzUy4p3psI9JoeaAao1_OBFK1_K6Re9e4
|
2644 |
| timm/data/readers/reader_tfds.py |
sha256=5daaqhJzYq7hbYBAeuF06lXCO7A0tPipHbJVMFMv-Nk
|
17909 |
| timm/data/readers/reader_wds.py |
sha256=S91U97D9aKpL1INHA4biFkD5NZiUSa2sLTz7onllDxQ
|
16947 |
| timm/data/readers/shared_count.py |
sha256=___RvLR-johRZ0Ins6iKVAkKU44LxU3o4H7E0B0b25o
|
303 |
| timm/data/real_labels.py |
sha256=xdexeoU_KE6c2HY0G81Ny2-T_iTQ_1HOWLj7R_WfAls
|
1800 |
| timm/data/tf_preprocessing.py |
sha256=xClMeZyUPx8YATBvVnzig0bDJNBa8ZqzcpmVWUwefWg
|
9169 |
| timm/data/transforms.py |
sha256=gGWrF6hkBNbMHD7aBl1Cj8bIT4yQT8pFmHyzOaEKMQ4
|
18852 |
| timm/data/transforms_factory.py |
sha256=BqjWJ12Zw6-hGtfDV6Oris65Bs54NMeMVmBJwsculCg
|
17961 |
| timm/layers/__init__.py |
sha256=54G4lmLhCb-pnpNDCsjLZjpmXkXnH0tCR6vzFRyhVkQ
|
3862 |
| timm/layers/activations.py |
sha256=5dnM9Fr63FBHTBwmNk7Ps__fYL4aCJfqUbWhFLAYm0I
|
4882 |
| timm/layers/activations_jit.py |
sha256=BQI8MYjZhJx0w6yTUpsl_x_tg-XFdbYDkYy5EEBQYIQ
|
2529 |
| timm/layers/activations_me.py |
sha256=Qlrh-NWXxC6OsxI1wppeBdsd8UGWXT8ECH95tFaXGEQ
|
5886 |
| timm/layers/adaptive_avgmax_pool.py |
sha256=mmpp9g59LayFUy4UJVZ59WsFaKWwG1_IkgBe-2WqOXo
|
6309 |
| timm/layers/attention_pool.py |
sha256=-XLq9I4j8FPwC0jHh1M9meT3fG17afQBhrDg1rDEwRA
|
3458 |
| timm/layers/attention_pool2d.py |
sha256=zQ0P6VRo_VsZ1PdmjCEbOybqHilTmVQHiRjfFGlm29c
|
4934 |
| timm/layers/blur_pool.py |
sha256=MfwXZp6m7OtjTJzXS1Ihxtne2it4hqyI2VHdjWgEU_E
|
1594 |
| timm/layers/bottleneck_attn.py |
sha256=HLuZbyep1Nf9Qq9Aei81kCzQMs6U1aQBQRLrOnjnkHo
|
6895 |
| timm/layers/cbam.py |
sha256=b6lo3KFOc88MV4ITw2pSokuvpLkAFpB9lNc1e20QdGI
|
4426 |
| timm/layers/classifier.py |
sha256=mxNar-qo26mCAR_qlV0ot1TgPaEZy3IzP4K2FfHeJdQ
|
7478 |
| timm/layers/cond_conv2d.py |
sha256=bUfMYl3PRnfdIULJoXlLjh71UT8ZSsb8lQBa_n-q7Vo
|
5199 |
| timm/layers/config.py |
sha256=_11jlMV9cDw--w1zSKxHeJINOf60N6IDqns0m2gPGts
|
4175 |
| timm/layers/conv2d_same.py |
sha256=ssxoaAlxauEavfvR792KBfIImVEATlql7tDssv7xyRY
|
3216 |
| timm/layers/conv_bn_act.py |
sha256=Jr2pUtKhj8LzuoOVhTO4IaIn08uBqfzLkzMPdiv7JJI
|
3836 |
| timm/layers/create_act.py |
sha256=nEyM4juLecDyWjgOE-MTXdCPUI4irsTLggLDi-TR7UQ
|
5422 |
| timm/layers/create_attn.py |
sha256=d9-j6iPcFPpC2o7_DW4QLKKP1KWZBhZn6-AHH-iSfh4
|
3514 |
| timm/layers/create_conv2d.py |
sha256=darxUzkvPYUxguuJ_WJd1PepkxOK4if5JwJzC5IC85k
|
1622 |
| timm/layers/create_norm.py |
sha256=KArZb6aatyoJs84yO1YxgDCvzH07nAGuJteZwJE5buI
|
1573 |
| timm/layers/create_norm_act.py |
sha256=i5EIl-X8gr75TFJ0t7OQaExFIFc_OLMpDVHLhCJFfIo
|
3836 |
| timm/layers/drop.py |
sha256=HocUkCNINxvSRHV0dQR7zpeRiJQG_Kkk8_ww2AHK2Zg
|
6973 |
| timm/layers/eca.py |
sha256=MiVhboDUqLUfeubpypWfaR3LMLHwgLCNsWO3iemcQFs
|
6386 |
| timm/layers/evo_norm.py |
sha256=mOJu-pMlBkVGjp3aKN0lhjnuED3lXLETNqbJIHpSSSA
|
13862 |
| timm/layers/fast_norm.py |
sha256=IIlM2VUs-DSUNs_Iq0KET-5zjP_dTYMj8QTQ_c1WhBo
|
4008 |
| timm/layers/filter_response_norm.py |
sha256=mDJ3nbu5nicP-5actvDiZa4HYd393Vq-_06ZTca5d4w
|
2540 |
| timm/layers/format.py |
sha256=i02NLXbWXPv4WJCSUF4MnSjQp699-UGr5Z3rnMZk364
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1109 |
| timm/layers/gather_excite.py |
sha256=53DHt6cySjPqd9NW3voZuhw8b9nUzvsG9NVl_D-9NAo
|
3824 |
| timm/layers/global_context.py |
sha256=aZWvij4J-T5I1rdTK725D6R0fDuJyYPDaXvl36QMmkw
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2445 |
| timm/layers/grid.py |
sha256=lMM8bM3ggxunvQFqQCB943SZAfY7Nw04w-lFaMBkxt8
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1624 |
| timm/layers/grn.py |
sha256=dxLWn-V48OiFlKLLKaU8Zt0mdBcR_AOg0mh1i8tmHKY
|
1319 |
| timm/layers/halo_attn.py |
sha256=zMJkf9S-ocCvrfvWOe0I97UHTpEQIkP381DON3OXm-c
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10662 |
| timm/layers/helpers.py |
sha256=9VLqID8jjdw_Un270F3rQLvNz9vQMhN9mts7kk_Ma_Y
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1053 |
| timm/layers/inplace_abn.py |
sha256=CTJcx3n_Ds6Q-Uds83I87DuQy2jgzX8ummBVKkrlyA0
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3374 |
| timm/layers/interpolate.py |
sha256=OsobWqF1CrpLe6YkXLmRzASbAsw_uzztyqsBZ6xUYrs
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2439 |
| timm/layers/lambda_layer.py |
sha256=-jB-uYoYqk0QjStAhaec30uyEAWp64N96_Bw33oY8H8
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5958 |
| timm/layers/linear.py |
sha256=baS2Wpl0vYELnvhnQ6Lw65jVotaJz5iGbroJJ9JmIRM
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743 |
| timm/layers/median_pool.py |
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| timm/layers/mixed_conv2d.py |
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| timm/layers/ml_decoder.py |
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7008 |
| timm/layers/mlp.py |
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8457 |
| timm/layers/non_local_attn.py |
sha256=29ZunmS6vrMmkhPNwl7DtPoFYgGlDpuwF17coCEy7HU
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6218 |
| timm/layers/norm.py |
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6040 |
| timm/layers/norm_act.py |
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17418 |
| timm/layers/padding.py |
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2877 |
| timm/layers/patch_dropout.py |
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1741 |
| timm/layers/patch_embed.py |
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9625 |
| timm/layers/pool2d_same.py |
sha256=UsmtWna5k5kfVTP25T1-OKJOgtcfBQCqSy0FmaZbjRw
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3045 |
| timm/layers/pos_embed.py |
sha256=3IGtj3NYTcPNxWHIFkMNQlP9fZ6NFOhnMYWXQDPulm0
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2584 |
| timm/layers/pos_embed_rel.py |
sha256=xIkPKYHQBxfXVr3-1xWy6-K8fKM-b9DoNS0WOHkzvfA
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| timm/layers/pos_embed_sincos.py |
sha256=4lQiwEDsP7pNi4N-6loP954WvE2zCmqgShYRhOC2MBY
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14465 |
| timm/layers/selective_kernel.py |
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5387 |
| timm/layers/separable_conv.py |
sha256=staVZPP-BxtO3q0Ka3_VnI1M1e-xtNAUUACP81rhF_Y
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2620 |
| timm/layers/space_to_depth.py |
sha256=OAr4De3vJM28kEVHatAqbhvYd0egThRH3bV1_UkSeDo
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1775 |
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sha256=Cl2gx0lNVosX2zgieLgf_FtqUwuwtGKTyxSoWyvejeg
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| timm/layers/split_batchnorm.py |
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| timm/layers/squeeze_excite.py |
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| timm/layers/std_conv.py |
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1996 |
| timm/layers/trace_utils.py |
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335 |
| timm/layers/typing.py |
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163 |
| timm/layers/weight_init.py |
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4765 |
| timm/loss/__init__.py |
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245 |
| timm/loss/asymmetric_loss.py |
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3343 |
| timm/loss/binary_cross_entropy.py |
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2483 |
| timm/loss/cross_entropy.py |
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1145 |
| timm/loss/jsd.py |
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1595 |
| timm/models/__init__.py |
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3290 |
| timm/models/_builder.py |
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18937 |
| timm/models/_efficientnet_blocks.py |
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12092 |
| timm/models/_efficientnet_builder.py |
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20021 |
| timm/models/_factory.py |
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| timm/models/_features.py |
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15540 |
| timm/models/_features_fx.py |
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5948 |
| timm/models/_hub.py |
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15848 |
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| timm/models/_pretrained.py |
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| timm/models/_prune.py |
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4171 |
| timm/models/_pruned/ecaresnet101d_pruned.txt |
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8734 |
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4520 |
| timm/models/_pruned/efficientnet_b1_pruned.txt |
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— |
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