├── .gitattributes ├── .gitignore ├── LICENSE ├── README.md ├── SECURITY.md ├── VERSION └── models ├── ILSVRC2012 ├── Asparagus │ ├── Asparagus.ell.zip │ ├── Asparagus.onnx.zip │ ├── compile_pi3.json │ ├── compile_pi3.txt │ ├── config.yml │ ├── eval.log │ └── validation_pi3.out ├── Bean │ ├── Bean.cntk.svg │ ├── Bean.cntk.zip │ ├── Bean.ell.zip │ ├── Bean_pi3.ell.zip │ ├── args.json │ ├── compile_pi3.json │ ├── compile_pi3.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── BrazilianGuava │ ├── BrazilianGuava.cntk.svg │ ├── BrazilianGuava.cntk.zip │ ├── BrazilianGuava.ell.zip │ ├── args.json │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── Buckthorn │ ├── Buckthorn.cntk.svg │ ├── Buckthorn.cntk.zip │ ├── Buckthorn.ell.zip │ ├── Buckthorn_pi3.ell.zip │ ├── args.json │ ├── compile_pi3.json │ ├── compile_pi3.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── Candlenut │ ├── Candlenut.cntk.svg │ ├── Candlenut.cntk.zip │ ├── Candlenut.ell.zip │ ├── Candlenut_pi3.ell.zip │ ├── args.json │ ├── compile_pi3.json │ ├── compile_pi3.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── Carrot │ ├── Carrot.cntk.svg │ ├── Carrot.cntk.zip │ ├── Carrot.ell.zip │ ├── Carrot_pi3.ell.zip │ ├── args.json │ ├── compile_pi3.json │ ├── compile_pi3.txt │ ├── description.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── CashewNut │ ├── CashewNut.cntk.svg │ ├── CashewNut.cntk.zip │ ├── CashewNut.ell.zip │ ├── CashewNut_pi3.ell.zip │ ├── args.json │ ├── compile_pi3.json │ ├── compile_pi3.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── Chalta │ ├── Chalta.cntk.svg │ ├── Chalta.cntk.zip │ ├── Chalta.ell.zip │ ├── Chalta_pi3.zip │ ├── args.json │ ├── compile_pi3.json │ ├── compile_pi3.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── Chenet │ ├── Chenet.cntk.svg │ ├── Chenet.cntk.zip │ ├── Chenet.ell.zip │ ├── args.json │ ├── description.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── Clary │ ├── Clary.cntk.svg │ ├── Clary.cntk.zip │ ├── Clary.ell.zip │ ├── Clary_pi3.ell.zip │ ├── args.json │ ├── compile_pi3.json │ ├── compile_pi3.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── Clover │ ├── Clover.cntk.svg │ ├── Clover.cntk.zip │ ├── Clover.ell.zip │ ├── Clover_pi3.ell.zip │ ├── args.json │ ├── compile_pi3.json │ ├── compile_pi3.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── Coconut │ ├── Coconut.cntk.svg │ ├── Coconut.cntk.zip │ ├── Coconut.ell.zip │ ├── Coconut_pi3.ell.zip │ ├── args.json │ ├── compile_pi3.json │ ├── compile_pi3.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── Elderflower │ ├── Elderflower.cntk.svg │ ├── Elderflower.cntk.zip │ ├── Elderflower.ell.zip │ ├── args.json │ ├── description.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── GardenCress │ ├── GardenCress.cntk.svg │ ├── GardenCress.cntk.zip │ ├── GardenCress.ell.zip │ ├── args.json │ ├── description.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── Ginger │ ├── Ginger.cntk.svg │ ├── Ginger.cntk.zip │ ├── Ginger.ell.zip │ ├── Ginger_pi3.ell.zip │ ├── args.json │ ├── compile_pi3.json │ ├── compile_pi3.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── Mashua │ ├── Mashua.cntk.svg │ ├── Mashua.cntk.zip │ ├── Mashua.ell.zip │ ├── args.json │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── PandanFlower │ ├── PandanFlower.cntk.svg │ ├── PandanFlower.cntk.zip │ ├── PandanFlower.ell.zip │ ├── PandanFlower_pi3.ell.zip │ ├── args.json │ ├── compile_pi3.json │ ├── compile_pi3.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── Pawpaw │ ├── Pawpaw.cntk.svg │ ├── Pawpaw.cntk.zip │ ├── Pawpaw.ell.zip │ ├── args.json │ ├── description.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── Pear │ ├── Pear.ell.zip │ ├── Pear.onnx.zip │ ├── Pear_pi3.ell.zip │ ├── compile_pi3.json │ ├── compile_pi3.txt │ ├── config.yml │ ├── eval.log │ └── validation_pi3.out ├── SevenSisters │ ├── SevenSisters.cntk.svg │ ├── SevenSisters.cntk.zip │ ├── SevenSisters.ell.zip │ ├── SevenSisters_pi3.zip │ ├── args.json │ ├── compile_pi3.json │ ├── compile_pi3.txt │ ├── description.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── Sweetsop │ ├── Sweetsop.cntk.svg │ ├── Sweetsop.cntk.zip │ ├── Sweetsop.ell.zip │ ├── Sweetsop_pi3.ell.zip │ ├── args.json │ ├── compile_pi3.json │ ├── compile_pi3.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── Tamarind │ ├── Tamarind.cntk.svg │ ├── Tamarind.cntk.zip │ ├── Tamarind.ell.zip │ ├── Tamarind_pi3.ell.zip │ ├── args.json │ ├── compile_pi3.json │ ├── compile_pi3.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── WaterApple │ ├── WaterApple.cntk.svg │ ├── WaterApple.cntk.zip │ ├── WaterApple.ell.zip │ ├── WaterApple_pi3.ell.zip │ ├── args.json │ ├── compile_pi3.json │ ├── compile_pi3.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── Wattleseed │ ├── Wattleseed.cntk.svg │ ├── Wattleseed.cntk.zip │ ├── Wattleseed.ell.zip │ ├── args.json │ ├── description.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── all_models.json ├── categories.txt ├── d_I128x128x3CMCMCMCMCMCMC1AS │ ├── d_I128x128x3CMCMCMCMCMCMC1AS.cntk.svg │ ├── d_I128x128x3CMCMCMCMCMCMC1AS.cntk.zip │ ├── d_I128x128x3CMCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── d_I160x160x3CMCMBMBMBMBMB1AS │ ├── d_I160x160x3CMCMBMBMBMBMB1AS.cntk.svg │ ├── d_I160x160x3CMCMBMBMBMBMB1AS.cntk.zip │ ├── d_I160x160x3CMCMBMBMBMBMB1AS.ell.zip │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── d_I160x160x3CMCMBMBMBMBMC1AS │ ├── d_I160x160x3CMCMBMBMBMBMC1AS.cntk.svg │ ├── d_I160x160x3CMCMBMBMBMBMC1AS.cntk.zip │ ├── d_I160x160x3CMCMBMBMBMBMC1AS.ell.zip │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── d_I160x160x3CMCMCMCMCMCMC1AS │ ├── d_I160x160x3CMCMCMCMCMCMC1AS.cntk.svg │ ├── d_I160x160x3CMCMCMCMCMCMC1AS.cntk.zip │ ├── d_I160x160x3CMCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── d_I192x192x3CMCMBMBMBMBMB1AS │ ├── d_I192x192x3CMCMBMBMBMBMB1AS.cntk.svg │ ├── d_I192x192x3CMCMBMBMBMBMB1AS.cntk.zip │ ├── d_I192x192x3CMCMBMBMBMBMB1AS.ell.zip │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── d_I192x192x3CMCMBMBMBMBMC1AS │ ├── d_I192x192x3CMCMBMBMBMBMC1AS.cntk.svg │ ├── d_I192x192x3CMCMBMBMBMBMC1AS.cntk.zip │ ├── d_I192x192x3CMCMBMBMBMBMC1AS.ell.zip │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── d_I192x192x3CMCMCMCMCMCMC1AS │ ├── d_I192x192x3CMCMCMCMCMCMC1AS.cntk.svg │ ├── d_I192x192x3CMCMCMCMCMCMC1AS.cntk.zip │ ├── d_I192x192x3CMCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── d_I224x224x3CMBMBMBMBMBMC1AS │ ├── d_I224x224x3CMBMBMBMBMBMC1AS.cntk.svg │ ├── d_I224x224x3CMBMBMBMBMBMC1AS.cntk.zip │ ├── d_I224x224x3CMBMBMBMBMBMC1AS.ell.zip │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── d_I224x224x3CMCMBMBMBMBMB1AS │ ├── d_I224x224x3CMCMBMBMBMBMB1AS.cntk.svg │ ├── d_I224x224x3CMCMBMBMBMBMB1AS.cntk.zip │ ├── d_I224x224x3CMCMBMBMBMBMB1AS.ell.zip │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── d_I224x224x3CMCMBMBMBMBMC1AS │ ├── d_I224x224x3CMCMBMBMBMBMC1AS.cntk.svg │ ├── d_I224x224x3CMCMBMBMBMBMC1AS.cntk.zip │ ├── d_I224x224x3CMCMBMBMBMBMC1AS.ell.zip │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── d_I224x224x3CMCMCMCMCMCMC1AS │ ├── d_I224x224x3CMCMCMCMCMCMC1AS.cntk.svg │ ├── d_I224x224x3CMCMCMCMCMCMC1AS.cntk.zip │ ├── d_I224x224x3CMCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── d_I256x256x3CMBMBMBMBMBMB1AS │ ├── d_I256x256x3CMBMBMBMBMBMB1AS.cntk.svg │ ├── d_I256x256x3CMBMBMBMBMBMB1AS.cntk.zip │ ├── d_I256x256x3CMBMBMBMBMBMB1AS.ell.zip │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── d_I256x256x3CMBMBMBMBMBMC1AS │ ├── d_I256x256x3CMBMBMBMBMBMC1AS.cntk.svg │ ├── d_I256x256x3CMBMBMBMBMBMC1AS.cntk.zip │ ├── d_I256x256x3CMBMBMBMBMBMC1AS.ell.zip │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── d_I256x256x3CMCMBMBMBMBMB1AS │ ├── d_I256x256x3CMCMBMBMBMBMB1AS.cntk.svg │ ├── d_I256x256x3CMCMBMBMBMBMB1AS.cntk.zip │ ├── d_I256x256x3CMCMBMBMBMBMB1AS.ell.zip │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── d_I256x256x3CMCMBMBMBMBMC1AS │ ├── d_I256x256x3CMCMBMBMBMBMC1AS.cntk.svg │ ├── d_I256x256x3CMCMBMBMBMBMC1AS.cntk.zip │ ├── d_I256x256x3CMCMBMBMBMBMC1AS.ell.zip │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── d_I256x256x3CMCMCMCMCMCMC1AS │ ├── d_I256x256x3CMCMCMCMCMCMC1AS.cntk.svg │ ├── d_I256x256x3CMCMCMCMCMCMC1AS.cntk.zip │ ├── d_I256x256x3CMCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── d_I256x256x3CMCMCMCMCMCMCMC1AS │ ├── d_I256x256x3CMCMCMCMCMCMCMC1AS.cntk.svg │ ├── d_I256x256x3CMCMCMCMCMCMCMC1AS.cntk.zip │ ├── d_I256x256x3CMCMCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dcda_I64x64x3CMCMCMCMCMC1AS │ ├── args.json │ ├── dcda_I64x64x3CMCMCMCMCMC1AS.cntk.svg │ ├── dcda_I64x64x3CMCMCMCMCMC1AS.cntk.zip │ ├── dcda_I64x64x3CMCMCMCMCMC1AS.ell.zip │ ├── description.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dcda_I64x64x3CMCMCMCMCMC1AS_v2 │ ├── args.json │ ├── dcda_I64x64x3CMCMCMCMCMC1AS_v2.cntk.svg │ ├── dcda_I64x64x3CMCMCMCMCMC1AS_v2.cntk.zip │ ├── dcda_I64x64x3CMCMCMCMCMC1AS_v2.ell.zip │ ├── description.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dcda_I64x64x3CMCMCMCMCMC1AS_v3 │ ├── args.json │ ├── dcda_I64x64x3CMCMCMCMCMC1AS_v3.cntk.svg │ ├── dcda_I64x64x3CMCMCMCMCMC1AS_v3.cntk.zip │ ├── dcda_I64x64x3CMCMCMCMCMC1AS_v3.ell.zip │ ├── description.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dcda_I64x64x3CMCMCMCMCMC1AS_v4 │ ├── args.json │ ├── dcda_I64x64x3CMCMCMCMCMC1AS_v4.cntk.svg │ ├── dcda_I64x64x3CMCMCMCMCMC1AS_v4.cntk.zip │ ├── dcda_I64x64x3CMCMCMCMCMC1AS_v4.ell.zip │ ├── description.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dcda_I64x64x3CMCMCMCMCMC1AS_v5 │ ├── args.json │ ├── dcda_I64x64x3CMCMCMCMCMC1AS_v5.cntk.svg │ ├── dcda_I64x64x3CMCMCMCMCMC1AS_v5.cntk.zip │ ├── dcda_I64x64x3CMCMCMCMCMC1AS_v5.ell.zip │ ├── description.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dcda_I64x64x3CMCMCMCMCMC1AS_v6 │ ├── args.json │ ├── dcda_I64x64x3CMCMCMCMCMC1AS_v6.cntk.svg │ ├── dcda_I64x64x3CMCMCMCMCMC1AS_v6.cntk.zip │ ├── dcda_I64x64x3CMCMCMCMCMC1AS_v6.ell.zip │ ├── description.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── ddcs2_I128x128x3CCCCCCCCCCCCCC1AS │ ├── args.json │ ├── ddcs2_I128x128x3CCCCCCCCCCCCCC1AS.cntk.svg │ ├── ddcs2_I128x128x3CCCCCCCCCCCCCC1AS.cntk.zip │ ├── ddcs2_I128x128x3CCCCCCCCCCCCCC1AS.ell.zip │ ├── description.txt │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dr_19A_I128x128x3CMCMCMCMCMCMC1AS │ ├── args.json │ ├── description.txt │ ├── dr_19A_I128x128x3CMCMCMCMCMCMC1AS.cntk.svg │ ├── dr_19A_I128x128x3CMCMCMCMCMCMC1AS.cntk.zip │ ├── dr_19A_I128x128x3CMCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dr_19A_I128x128x3CMCMCMCMCMCMC1AS_v2 │ ├── args.json │ ├── dr_19A_I128x128x3CMCMCMCMCMCMC1AS_v2.cntk.svg │ ├── dr_19A_I128x128x3CMCMCMCMCMCMC1AS_v2.cntk.zip │ ├── dr_19A_I128x128x3CMCMCMCMCMCMC1AS_v2.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dr_19B2_I128x128x3CMCMCMCMCMCMC1AS │ ├── args.json │ ├── description.txt │ ├── dr_19B2_I128x128x3CMCMCMCMCMCMC1AS.cntk.svg │ ├── dr_19B2_I128x128x3CMCMCMCMCMCMC1AS.cntk.zip │ ├── dr_19B2_I128x128x3CMCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dr_19C_I128x128x3CMCMCMCMCMCMC1AS │ ├── args.json │ ├── dr_19C_I128x128x3CMCMCMCMCMCMC1AS.cntk.svg │ ├── dr_19C_I128x128x3CMCMCMCMCMCMC1AS.cntk.zip │ ├── dr_19C_I128x128x3CMCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dr_19_I128x128x3CMCMCMCMCMCMC1AS │ ├── args.json │ ├── dr_19_I128x128x3CMCMCMCMCMCMC1AS.cntk.svg │ ├── dr_19_I128x128x3CMCMCMCMCMCMC1AS.cntk.zip │ ├── dr_19_I128x128x3CMCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dr_19_I64x64x3CMCMCMCMCMC1AS │ ├── args.json │ ├── dr_19_I64x64x3CMCMCMCMCMC1AS.cntk.svg │ ├── dr_19_I64x64x3CMCMCMCMCMC1AS.cntk.zip │ ├── dr_19_I64x64x3CMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dr_313B_I256x256x3CMCMCMCMCMCMCMC1AS │ ├── args.json │ ├── description.txt │ ├── dr_313B_I256x256x3CMCMCMCMCMCMCMC1AS.cntk.svg │ ├── dr_313B_I256x256x3CMCMCMCMCMCMCMC1AS.cntk.zip │ ├── dr_313B_I256x256x3CMCMCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dr_313C_I256x256x3CMCMCMCMCMCMCMC1AS │ ├── args.json │ ├── description.txt │ ├── dr_313C_I256x256x3CMCMCMCMCMCMCMC1AS.cntk.svg │ ├── dr_313C_I256x256x3CMCMCMCMCMCMCMC1AS.cntk.zip │ ├── dr_313C_I256x256x3CMCMCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dr_313_I256x256x3CMCMCMCMCMCMCMC1AS │ ├── args.json │ ├── description.txt │ ├── dr_313_I256x256x3CMCMCMCMCMCMCMC1AS.cntk.svg │ ├── dr_313_I256x256x3CMCMCMCMCMCMCMC1AS.cntk.zip │ ├── dr_313_I256x256x3CMCMCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dr_I256x256x3CMCMCMCMCMCMCMC1AS │ ├── args.json │ ├── dr_I256x256x3CMCMCMCMCMCMCMC1AS.cntk.svg │ ├── dr_I256x256x3CMCMCMCMCMCMCMC1AS.cntk.zip │ ├── dr_I256x256x3CMCMCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dr_cD_313_2X_I256x256x3CMCMCMCMCMCMCMC1AS │ ├── args.json │ ├── dr_cD_313_2X_I256x256x3CMCMCMCMCMCMCMC1AS.cntk.svg │ ├── dr_cD_313_2X_I256x256x3CMCMCMCMCMCMCMC1AS.cntk.zip │ ├── dr_cD_313_2X_I256x256x3CMCMCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dr_cD_313_2X_I256x256x3CMCMCMCMCMCMCMC1AS_v2 │ ├── args.json │ ├── description.txt │ ├── dr_cD_313_2X_I256x256x3CMCMCMCMCMCMCMC1AS_v2.cntk.svg │ ├── dr_cD_313_2X_I256x256x3CMCMCMCMCMCMCMC1AS_v2.cntk.zip │ ├── dr_cD_313_2X_I256x256x3CMCMCMCMCMCMCMC1AS_v2.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS │ ├── args.json │ ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS.cntk.svg │ ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS.cntk.zip │ ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v2 │ ├── args.json │ ├── description.txt │ ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v2.cntk.svg │ ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v2.cntk.zip │ ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v2.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v3 │ ├── args.json │ ├── description.txt │ ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v3.cntk.svg │ ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v3.cntk.zip │ ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v3.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v4 │ ├── args.json │ ├── description.txt │ ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v4.cntk.svg │ ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v4.cntk.zip │ ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v4.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v5 │ ├── args.json │ ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v5.cntk.svg │ ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v5.cntk.zip │ ├── dr_c_I256x256x3CMCMCMCMCMCMCMC1AS_v5.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dsb_I128x128x3CMCMCMCMCMCCCMC1AS │ ├── args.json │ ├── description.txt │ ├── dsb_I128x128x3CMCMCMCMCMCCCMC1AS.cntk.svg │ ├── dsb_I128x128x3CMCMCMCMCMCCCMC1AS.cntk.zip │ ├── dsb_I128x128x3CMCMCMCMCMCCCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dsb_I64x64x3CMCMCMCMCCCMC1AS │ ├── args.json │ ├── description.txt │ ├── dsb_I64x64x3CMCMCMCMCCCMC1AS.cntk.svg │ ├── dsb_I64x64x3CMCMCMCMCCCMC1AS.cntk.zip │ ├── dsb_I64x64x3CMCMCMCMCCCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dscs2_I128x128x3CCCCCCC1AS │ ├── args.json │ ├── description.txt │ ├── dscs2_I128x128x3CCCCCCC1AS.cntk.svg │ ├── dscs2_I128x128x3CCCCCCC1AS.cntk.zip │ ├── dscs2_I128x128x3CCCCCCC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dsf_I128x128x3CCMCCMCCMCMCMCMC1AS │ ├── args.json │ ├── dsf_I128x128x3CCMCCMCCMCMCMCMC1AS.cntk.svg │ ├── dsf_I128x128x3CCMCCMCCMCMCMCMC1AS.cntk.zip │ ├── dsf_I128x128x3CCMCCMCCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dsf_I64x64x3CCMCCMCCMCMCMC1AS │ ├── args.json │ ├── dsf_I64x64x3CCMCCMCCMCMCMC1AS.cntk.svg │ ├── dsf_I64x64x3CCMCCMCCMCMCMC1AS.cntk.zip │ ├── dsf_I64x64x3CCMCCMCCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dst_I128x128x3CCCMCMCMCMCMCMC1AS │ ├── args.json │ ├── description.txt │ ├── dst_I128x128x3CCCMCMCMCMCMCMC1AS.cntk.svg │ ├── dst_I128x128x3CCCMCMCMCMCMCMC1AS.cntk.zip │ ├── dst_I128x128x3CCCMCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── dst_I64x64x3CCCMCMCMCMCMC1AS │ ├── args.json │ ├── dst_I64x64x3CCCMCMCMCMCMC1AS.cntk.svg │ ├── dst_I64x64x3CCCMCMCMCMCMC1AS.cntk.zip │ ├── dst_I64x64x3CCCMCMCMCMCMC1AS.ell.zip │ ├── modelargs.json │ ├── test_eval.json │ └── validation_pi3.out ├── frontier_models.json ├── model_summary.csv ├── v_I160x160x3CCMCCMCCCMCCCMCCCMF2048S │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── v_I160x160x3CCMCCMCCCMCCCMCCCMF2048S.cntk.svg │ ├── v_I160x160x3CCMCCMCCCMCCCMCCCMF2048S.cntk.zip │ ├── v_I160x160x3CCMCCMCCCMCCCMCCCMF2048S.ell.zip │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── v_I160x160x3CCMCCMCCCMCCCMCCCMF4096S │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── v_I160x160x3CCMCCMCCCMCCCMCCCMF4096S.cntk.svg │ ├── v_I160x160x3CCMCCMCCCMCCCMCCCMF4096S.cntk.zip │ ├── v_I160x160x3CCMCCMCCCMCCCMCCCMF4096S.ell.zip │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── v_I192x192x3CCMCCMCCCMCCCMCCCMF1024F1024S │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── v_I192x192x3CCMCCMCCCMCCCMCCCMF1024F1024S.cntk.svg │ ├── v_I192x192x3CCMCCMCCCMCCCMCCCMF1024F1024S.cntk.zip │ ├── v_I192x192x3CCMCCMCCCMCCCMCCCMF1024F1024S.ell.zip │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── v_I64x64x3CCMCCMCCCCMCCCCMCCCCMF2048S │ ├── args.json │ ├── description.txt │ ├── modelargs.json │ ├── test_eval.json │ ├── v_I64x64x3CCMCCMCCCCMCCCCMCCCCMF2048S.cntk.svg │ ├── v_I64x64x3CCMCCMCCCCMCCCCMCCCCMF2048S.cntk.zip │ ├── v_I64x64x3CCMCCMCCCCMCCCCMCCCCMF2048S.ell.zip │ └── validation_pi3.out ├── v_I64x64x3CCMCCMCCCMCCCMCCCMF2048S │ ├── modelargs.json │ ├── procmon_aarch64.json │ ├── procmon_pi3_64.json │ ├── test_eval.json │ ├── v_I64x64x3CCMCCMCCCMCCCMCCCMF2048S.cntk.svg │ ├── v_I64x64x3CCMCCMCCCMCCCMCCCMF2048S.cntk.zip │ ├── v_I64x64x3CCMCCMCCCMCCCMCCCMF2048S.ell.zip │ ├── validation_aarch64.json │ ├── validation_aarch64.out │ ├── validation_pi3.out │ ├── validation_pi3_64.json │ └── validation_pi3_64.out ├── v_I64x64x3CCMCCMCCMCCMCCMF4096S │ ├── args.json │ ├── description.txt │ ├── modelargs.json │ ├── test_eval.json │ ├── v_I64x64x3CCMCCMCCMCCMCCMF4096S.cntk.svg │ ├── v_I64x64x3CCMCCMCCMCCMCCMF4096S.cntk.zip │ ├── v_I64x64x3CCMCCMCCMCCMCCMF4096S.ell.zip │ └── validation_pi3.out └── v_I64x64x3CCMCCMCMCMCMF3072S │ ├── args.json │ ├── description.txt │ ├── modelargs.json │ ├── test_eval.json │ ├── v_I64x64x3CCMCCMCMCMCMF3072S.cntk.svg │ ├── v_I64x64x3CCMCCMCMCMCMF3072S.cntk.zip │ ├── v_I64x64x3CCMCCMCMCMCMF3072S.ell.zip │ └── validation_pi3.out └── speech_commands_v0.01 ├── BluePaloVerde ├── GRU110KeywordSpotter.ell.zip ├── GRU110KeywordSpotter.onnx.zip ├── categories.txt ├── featurizer.ell.zip ├── test_results.json └── train_results.json ├── Cinnamon ├── LSTM50KeywordSpotter.ell.zip ├── LSTM50KeywordSpotter.onnx.zip ├── categories.txt ├── featurizer.ell.zip ├── test_results.json └── train_results.json ├── Citron ├── LSTM50KeywordSpotter.ell.zip ├── LSTM50KeywordSpotter.onnx.zip ├── categories.txt ├── featurizer.ell.zip ├── test_results.json └── train_results.json ├── Dulse ├── GRU80KeywordSpotter.ell.zip ├── GRU80KeywordSpotter.onnx.zip ├── categories.txt ├── featurizer.ell.zip ├── test_results.json └── train_results.json ├── Guava ├── GRU90KeywordSpotter.ell.zip ├── GRU90KeywordSpotter.onnx.zip ├── categories.txt ├── featurizer.ell.zip ├── test_results.json └── train_results.json ├── Katuk ├── GRU140KeywordSpotter.ell.zip ├── GRU140KeywordSpotter.onnx.zip ├── categories.txt ├── featurizer.ell.zip ├── test_results.json └── train_results.json ├── Korlan ├── LSTM80KeywordSpotter.ell.zip ├── LSTM80KeywordSpotter.onnx.zip ├── categories.txt ├── featurizer.ell.zip ├── test_results.json └── train_results.json ├── Morinda ├── LSTM80KeywordSpotter.ell.zip ├── LSTM80KeywordSpotter.onnx.zip ├── categories.txt ├── featurizer.ell.zip ├── test_results.json └── train_results.json ├── Roselle ├── GRU110KeywordSpotter.ell.zip ├── GRU110KeywordSpotter.onnx.zip ├── categories.txt ├── featurizer.ell.zip ├── test_results.json └── train_results.json ├── Rumberry ├── GRU80KeywordSpotter.ell.zip ├── GRU80KeywordSpotter.onnx.zip ├── categories.txt ├── featurizer.ell.zip ├── test_results.json └── train_results.json ├── RunnerBean ├── LSTM50KeywordSpotter.ell.zip ├── LSTM50KeywordSpotter.onnx.zip ├── categories.txt ├── featurizer.ell.zip ├── test_results.json └── train_results.json ├── WallLettuce ├── GRU90KeywordSpotter.ell.zip ├── GRU90KeywordSpotter.onnx.zip ├── categories.txt ├── featurizer.ell.zip ├── test_results.json └── train_results.json ├── Winterhorn ├── GRU120KeywordSpotter.ell.zip ├── GRU120KeywordSpotter.onnx.zip ├── categories.txt ├── featurizer.ell.zip ├── test_results.json └── train_results.json └── pareto.json /.gitattributes: -------------------------------------------------------------------------------- 1 | *.model filter=lfs diff=lfs merge=lfs -text 2 | *.ckp filter=lfs diff=lfs merge=lfs -text 3 | *.ell filter=lfs diff=lfs merge=lfs -text 4 | *.zip filter=lfs diff=lfs merge=lfs -text 5 | *.png filter=lfs diff=lfs merge=lfs -text 6 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | *.ckp 2 | *.cntk 3 | *.ell 4 | *.png 5 | *.onnx 6 | 7 | # generated by training 8 | history.txt 9 | status.json 10 | summary.json 11 | logs/ 12 | 13 | # generated by testing 14 | *_t 15 | 16 | .vscode/ 17 | .vs/ 18 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) Microsoft Corporation. All rights reserved. 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE 22 | -------------------------------------------------------------------------------- /VERSION: -------------------------------------------------------------------------------- 1 | 2.4.0 2 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Asparagus/Asparagus.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:9ca8b91184f4deb7f7f7e9f97462a5fd28b8ea946f1fbbe629f6559606bf07d0 3 | size 13566173 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Asparagus/Asparagus.onnx.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:4b23bce61d9093a936f50342e4083d18c8f45eea030216628a8bdd190619e286 3 | size 10698020 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Asparagus/config.yml: -------------------------------------------------------------------------------- 1 | MODEL: 2 | TASK: classifier 3 | ARCH: basic 4 | BASE_NET: densenet_test_3_bn 5 | IMAGE_SIZE: [64, 64] 6 | NUM_CLASSES: 1000 7 | HALF_PRECISION: False 8 | 9 | TRAIN: 10 | MAX_EPOCHS: 90 11 | CHECKPOINT_FREQUENCY: 5 12 | BATCH_SIZE: 256 13 | TRAINABLE_SCOPE: 'base,norm' 14 | RESUME_SCOPE: 'base,norm' 15 | CRITERION: CrossEntropy 16 | OPTIMIZER: 17 | OPTIMIZER: sgd 18 | LEARNING_RATE: 0.1 19 | MOMENTUM: 0.9 20 | WEIGHT_DECAY: 0.0001 21 | LR_SCHEDULER: 22 | SCHEDULER: multi_step 23 | STEPS: [30, 60] 24 | GAMMA: 0.1 25 | WARM_UP_EPOCHS: 3 26 | 27 | TEST: 28 | BATCH_SIZE: 64 29 | TEST_SCOPE: [135, 150] 30 | 31 | DATASET: 32 | DATASET: 'default' 33 | DATASET_FILE: 'ilsvrc.json' 34 | PREPROC: default_preproc_for_classifier 35 | TRAIN_SETS: ['train'] 36 | TEST_SETS: ['val'] 37 | NUM_WORKERS: 16 38 | 39 | PHASE: ['train'] -------------------------------------------------------------------------------- /models/ILSVRC2012/Asparagus/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['train', 'val', 'test'] 5 | categories: [482, 742, 905, 656, 752, 276, 533, 822, 59, 159] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | OpenBlas: /home/miniconda3/envs/py34/lib/libopenblas_armv7p-r0.3.6.so 15 | 16 | Running predict for 10 images 5 times each 17 | 18 | Evaluate for top classification accuracy: 19 | Total of 10 images: 20 | top1 accuracy : 0.000% 21 | top5 accuracy : 0.000% 22 | Average prediction time: 108.006 ms 23 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Bean/Bean.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:3a7d0fc396d9e07c3c9e3bec4ffb2df8139f4319ba423b6bda83c1311ea7950c 3 | size 4844539 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Bean/Bean.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:38284808b2729d347a0a733c6225ff574a8fa4607f494286d01cf573acc44f07 3 | size 5812453 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Bean/Bean_pi3.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:be47f96244aa41272424b5c7c8f311c5bdb0a5cd7076e6c84611257fa4d00482 3 | size 5903634 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Bean/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "epoch_size": 1281167, 3 | "momentum": 0.9, 4 | "keep_all_checkpoints": false, 5 | "minibatch_size": 128, 6 | "block_size": null, 7 | "num_quantization_bits": 32, 8 | "max_epochs": 112, 9 | "restore": true, 10 | "l2_reg_weight": 0.0001, 11 | "warm_up": 0, 12 | "lr_scale": 1.0 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Bean/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "filter_size": 3, 3 | "depth_multiplier": 1, 4 | "filters_per_layer": [ 5 | 1, 6 | 1, 7 | 0, 8 | 0 9 | ], 10 | "series": "resnetconf", 11 | "activation_function": "relu", 12 | "image_size": 128, 13 | "num_classes": 1000, 14 | "trainer": "CNTK 2.5.1", 15 | "model": "resnetconf", 16 | "retargeting_layers": -1, 17 | "name": "resnetconf_I128x128x3_ADS", 18 | "separable_convs": true, 19 | "index": 0 20 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Bean/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top5_error": 0.21788, 3 | "average_loss": 1.9723506970596314, 4 | "average_top1_error": 0.44884, 5 | "total_samples": 50000 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Bean/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['val', 'train', 'test'] 5 | categories: [704, 771, 68, 519, 145, 698, 667, 828, 861, 158] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | Running predict for 10 images 5 times each 15 | 16 | Evaluate for top classification accuracy: 17 | Total of 10 images: 18 | top1 accuracy : 50.000% 19 | top5 accuracy : 70.000% 20 | Average prediction time: 143.663 ms 21 | -------------------------------------------------------------------------------- /models/ILSVRC2012/BrazilianGuava/BrazilianGuava.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:72ede7cbca80f7eea3c7aea7926a25c48452e4d31cdf6fd4b0c8d9a787e14f63 3 | size 6661915 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/BrazilianGuava/BrazilianGuava.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:f615ca7d19e9eb33518aea847b7738ed184e2a3b6ae2d1e1bfe6ef6be70451d2 3 | size 8098128 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/BrazilianGuava/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "max_epochs": 112, 3 | "minibatch_size": 128, 4 | "epoch_size": 1281167, 5 | "warm_up": 0, 6 | "l2_reg_weight": 0.0001, 7 | "restore": true, 8 | "block_size": null, 9 | "lr_scale": 1.0, 10 | "num_quantization_bits": 32, 11 | "momentum": 0.9, 12 | "keep_all_checkpoints": false 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/BrazilianGuava/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "separable_convs": false, 3 | "filter_size": 3, 4 | "trainer": "CNTK 2.3.1", 5 | "name": "resnetconf_I64x64x3_ADS", 6 | "series": "resnetconf", 7 | "activation_function": "relu", 8 | "filters_per_layer": [ 9 | 1, 10 | 1, 11 | 0, 12 | 0 13 | ], 14 | "depth_multiplier": 1, 15 | "model": "resnetconf", 16 | "num_classes": 1000, 17 | "retargeting_layers": -1, 18 | "image_size": 64, 19 | "increase_factor": 112, 20 | "index": 0 21 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/BrazilianGuava/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top5_error": 0.3136, 3 | "average_top1_error": 0.55992, 4 | "total_samples": 50000, 5 | "average_loss": 2.5629381604003907 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/BrazilianGuava/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Looking for: resnetconf_I64x64x3_ADS in 2 | Found input_shape [64,64,3] 3 | Average prediction time: 0.08399379253387451 4 | Looking for: resnetconf_I64x64x3_ADS in 5 | Found input_shape [64,64,3] 6 | Average prediction time: 0.07178699970245361 7 | Looking for: resnetconf_I64x64x3_ADS in 8 | Found input_shape [64,64,3] 9 | Average prediction time: 0.069549560546875 10 | Looking for: resnetconf_I64x64x3_ADS in 11 | Found input_shape [64,64,3] 12 | Average prediction time: 0.06952202320098877 13 | Looking for: resnetconf_I64x64x3_ADS in 14 | Found input_shape [64,64,3] 15 | Average prediction time: 0.07097363471984863 16 | Looking for: resnetconf_I64x64x3_ADS in 17 | Found input_shape [64,64,3] 18 | Average prediction time: 0.06863397359848022 19 | Looking for: resnetconf_I64x64x3_ADS in 20 | Found input_shape [64,64,3] 21 | Average prediction time: 0.0695905089378357 22 | Looking for: resnetconf_I64x64x3_ADS in 23 | Found input_shape [64,64,3] 24 | Average prediction time: 0.07074886560440063 25 | Looking for: resnetconf_I64x64x3_ADS in 26 | Found input_shape [64,64,3] 27 | Average prediction time: 0.06840157508850098 28 | Looking for: resnetconf_I64x64x3_ADS in 29 | Found input_shape [64,64,3] 30 | Average prediction time: 0.06957942247390747 31 | Total time: 969.192139 ms count: 5 32 | Total time: 1313.656982 ms count: 10 33 | Total time: 1654.028809 ms count: 15 34 | Total time: 1988.935547 ms count: 20 35 | Total time: 2329.241455 ms count: 25 36 | Total time: 2665.808838 ms count: 30 37 | Total time: 3000.691895 ms count: 35 38 | Total time: 3340.847168 ms count: 40 39 | Total time: 3676.405518 ms count: 45 40 | Total time: 4011.680420 ms count: 50 41 | Process has exited 42 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Buckthorn/Buckthorn.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:2747deee650c6ea64c5d68eaec8aca63ce5b88aedde9375a0b649d8477dc6b39 3 | size 21196714 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Buckthorn/Buckthorn.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:01314076297ca55a7ca7f7a151e590db5a779404b02dd5c0173152a48cc97b9e 3 | size 25676795 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Buckthorn/Buckthorn_pi3.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:32b8c439bbc0f67543939a6f012966d2c1f1f9287d7f2dd025b8975ce7e7727f 3 | size 26087551 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Buckthorn/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "warm_up": 0, 3 | "minibatch_size": 128, 4 | "keep_all_checkpoints": false, 5 | "lr_scale": 1.0, 6 | "max_epochs": 112, 7 | "restore": true, 8 | "num_quantization_bits": 32, 9 | "epoch_size": 1281167, 10 | "momentum": 0.9, 11 | "l2_reg_weight": 0.0001, 12 | "block_size": null 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Buckthorn/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "model": "resnetconf_bottleneck", 3 | "num_classes": 1000, 4 | "filter_size": 3, 5 | "depth_multiplier": 1, 6 | "retargeting_layers": -1, 7 | "separable_convs": true, 8 | "filters_per_layer": [ 9 | 1, 10 | 1, 11 | 5, 12 | 1 13 | ], 14 | "trainer": "CNTK 2.5.1", 15 | "image_size": 64, 16 | "series": "resnetconf_bottleneck", 17 | "activation_function": "relu", 18 | "name": "resnetconf_bottleneck_I64x64x3_1AS", 19 | "index": 0 20 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Buckthorn/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top5_error": 0.19452, 3 | "average_top1_error": 0.42432, 4 | "average_loss": 1.8166982738685609, 5 | "total_samples": 50000 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Buckthorn/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['test', 'train', 'val'] 5 | categories: [704, 771, 68, 519, 145, 698, 667, 828, 861, 158] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | Running predict for 10 images 5 times each 15 | 16 | Evaluate for top classification accuracy: 17 | Total of 10 images: 18 | top1 accuracy : 50.000% 19 | top5 accuracy : 70.000% 20 | Average prediction time: 171.424 ms 21 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Candlenut/Candlenut.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:d6287c604192fc796c5421750e4f302d76dec13a6aaa7212ed60364f52339d19 3 | size 16696136 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Candlenut/Candlenut.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:0b7af519915aa3439c9cf07cd1b11f260304c5fce83d8fe5cd1bcf37db287c56 3 | size 20304871 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Candlenut/Candlenut_pi3.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:563dc5b588be7c811781673963d3d749bf6d93a1460b386db54dd83b6817f68c 3 | size 20626708 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Candlenut/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "momentum": 0.9, 3 | "restore": true, 4 | "num_quantization_bits": 32, 5 | "lr_scale": 1.0, 6 | "max_epochs": 112, 7 | "keep_all_checkpoints": false, 8 | "block_size": null, 9 | "minibatch_size": 128, 10 | "warm_up": 0, 11 | "epoch_size": 1281167, 12 | "l2_reg_weight": 0.0001 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Candlenut/compile_pi3.txt: -------------------------------------------------------------------------------- 1 | -imap ../../ELL-models/models/ILSVRC2012/Candlenut/Candlenut.ell --outputDirectory OptimizedModels/Candlenut --target pi3 --mapWithOptions --nodeOption 1244,preferredConvolutionMethod,unrolled --nodeOption 1244,parallelize,true --nodeOption 1250,preferredConvolutionMethod,unrolled --nodeOption 1250,parallelize,true --nodeOption 1255,preferredConvolutionMethod,unrolled --nodeOption 1260,preferredConvolutionMethod,unrolled --nodeOption 1264,preferredConvolutionMethod,unrolled --nodeOption 1270,preferredConvolutionMethod,unrolled --nodeOption 1275,preferredConvolutionMethod,unrolled --nodeOption 1280,preferredConvolutionMethod,unrolled --nodeOption 1286,preferredConvolutionMethod,unrolled --nodeOption 1291,preferredConvolutionMethod,unrolled --nodeOption 1296,preferredConvolutionMethod,unrolled --nodeOption 1300,preferredConvolutionMethod,unrolled --nodeOption 1306,preferredConvolutionMethod,unrolled --nodeOption 1311,preferredConvolutionMethod,unrolled --nodeOption 1316,preferredConvolutionMethod,unrolled --nodeOption 1322,preferredConvolutionMethod,unrolled --nodeOption 1322,parallelize,true --nodeOption 1327,preferredConvolutionMethod,unrolled --nodeOption 1327,parallelize,true --nodeOption 1332,preferredConvolutionMethod,unrolled --nodeOption 1336,preferredConvolutionMethod,unrolled --nodeOption 1342,preferredConvolutionMethod,unrolled --nodeOption 1347,preferredConvolutionMethod,unrolled --nodeOption 1347,parallelize,true --nodeOption 1352,preferredConvolutionMethod,unrolled --nodeOption 1358,preferredConvolutionMethod,unrolled -------------------------------------------------------------------------------- /models/ILSVRC2012/Candlenut/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "filters_per_layer": [ 3 | 1, 4 | 1, 5 | 1, 6 | 0 7 | ], 8 | "image_size": 64, 9 | "filter_size": 3, 10 | "increase_factor": 112, 11 | "retargeting_layers": -1, 12 | "activation_function": "relu", 13 | "model": "resnetconf_bottleneck", 14 | "name": "resnetconf_bottleneck_I64x64x3_1AS", 15 | "index": 0, 16 | "depth_multiplier": 1, 17 | "trainer": "CNTK 2.3.1", 18 | "series": "resnetconf_bottleneck", 19 | "num_classes": 1000, 20 | "separable_convs": false 21 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Candlenut/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top1_error": 0.45606, 3 | "average_loss": 1.9870013099288941, 4 | "total_samples": 50000, 5 | "average_top5_error": 0.2198 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Candlenut/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['val', 'train', 'test'] 5 | categories: [704, 771, 68, 519, 145, 698, 667, 828, 861, 158] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | Running predict for 10 images 5 times each 15 | 16 | Evaluate for top classification accuracy: 17 | Total of 10 images: 18 | top1 accuracy : 40.000% 19 | top5 accuracy : 60.000% 20 | Average prediction time: 146.411 ms 21 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Carrot/Carrot.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:8fbab9e13fcd8c8e826df8957d88c3da6937858f945a131291b8836715a4ea57 3 | size 47577655 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Carrot/Carrot.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:56e55da6c8b703e773cb245ecaddb24a489091e25e3e0dd7dbdc825047a070b8 3 | size 58025513 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Carrot/Carrot_pi3.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:3567910fe2bf0b742ce183198ecc42222b689fdde86cd23dc843ea8824f34143 3 | size 58940970 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Carrot/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "num_quantization_bits": 32, 3 | "l2_reg_weight": 0.0001, 4 | "momentum": 0.9, 5 | "lr_scale": 1.0, 6 | "epoch_size": 1281167, 7 | "warm_up": 0, 8 | "minibatch_size": 128, 9 | "max_epochs": 112, 10 | "block_size": null, 11 | "restore": true, 12 | "keep_all_checkpoints": false 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Carrot/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "increase_factor": 112, 3 | "depth_multiplier": 1, 4 | "num_classes": 1000, 5 | "filters_per_layer": [ 6 | 1, 7 | 1, 8 | 2, 9 | 1 10 | ], 11 | "index": 0, 12 | "trainer": "CNTK 2.3.1", 13 | "image_size": 128, 14 | "retargeting_layers": -1, 15 | "series": "resnetconf", 16 | "separable_convs": false, 17 | "name": "resnetconf_I128x128x3_1AS", 18 | "model": "resnetconf", 19 | "activation_function": "relu", 20 | "filter_size": 3 21 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Carrot/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "total_samples": 50000, 3 | "average_top5_error": 0.14368, 4 | "average_loss": 1.473631537361145, 5 | "average_top1_error": 0.35392 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Carrot/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['train', 'val', 'test'] 5 | categories: [704, 771, 68, 519, 145, 698, 667, 828, 861, 158] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | Running predict for 10 images 5 times each 15 | 16 | Evaluate for top classification accuracy: 17 | Total of 10 images: 18 | top1 accuracy : 40.000% 19 | top5 accuracy : 70.000% 20 | Average prediction time: 396.715 ms 21 | -------------------------------------------------------------------------------- /models/ILSVRC2012/CashewNut/CashewNut.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:ee31a5dc016518573d8c0eb539c1a18915332b8333fc994cdf609027ed7a6e77 3 | size 7964154 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/CashewNut/CashewNut.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:a0c0bc70a7ef72ed9c54b8d80a86bdd3813295df1d2c575bce2fcbdb0cde13dd 3 | size 9499529 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/CashewNut/CashewNut_pi3.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:38db444819593ffdbae6d65644305709221c58a4c6725061cbbe5e0d2dc50aff 3 | size 9648767 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/CashewNut/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "num_quantization_bits": 32, 3 | "l2_reg_weight": 0.0001, 4 | "restore": true, 5 | "momentum": 0.9, 6 | "epoch_size": 1281167, 7 | "minibatch_size": 128, 8 | "max_epochs": 112, 9 | "warm_up": 0, 10 | "keep_all_checkpoints": false, 11 | "lr_scale": 1.0, 12 | "block_size": null 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/CashewNut/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "filter_size": 3, 3 | "series": "resnetconf", 4 | "retargeting_layers": -1, 5 | "activation_function": "relu", 6 | "name": "resnetconf_I128x128x3_1AS", 7 | "depth_multiplier": 1, 8 | "filters_per_layer": [ 9 | 1, 10 | 1, 11 | 2, 12 | 1 13 | ], 14 | "trainer": "CNTK 2.5.1", 15 | "separable_convs": true, 16 | "num_classes": 1000, 17 | "model": "resnetconf", 18 | "image_size": 128, 19 | "index": 0 20 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/CashewNut/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top5_error": 0.17562, 3 | "average_top1_error": 0.39784, 4 | "average_loss": 1.686789662284851, 5 | "total_samples": 50000 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/CashewNut/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['test', 'val', 'train'] 5 | categories: [704, 771, 68, 519, 145, 698, 667, 828, 861, 158] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | Running predict for 10 images 5 times each 15 | 16 | Evaluate for top classification accuracy: 17 | Total of 10 images: 18 | top1 accuracy : 40.000% 19 | top5 accuracy : 70.000% 20 | Average prediction time: 177.682 ms 21 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Chalta/Chalta.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:cbc212be589b2f5b7898e0112e89a76ff1441347cdc2a2c500e328032b8e554c 3 | size 33353194 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Chalta/Chalta.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:002ff6ce37ac36276ab83588b23deebb822f742e31d0fe122d249b3a5f2288ad 3 | size 40568383 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Chalta/Chalta_pi3.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:35ceffe74580196eadc9fd852964487ecd3831ae62e941053d8264f9786cffa8 3 | size 41214167 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Chalta/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "epoch_size": 1281167, 3 | "lr_scale": 1.0, 4 | "max_epochs": 112, 5 | "l2_reg_weight": 0.0001, 6 | "momentum": 0.9, 7 | "restore": true, 8 | "keep_all_checkpoints": false, 9 | "minibatch_size": 128, 10 | "warm_up": 0, 11 | "block_size": null, 12 | "num_quantization_bits": 32 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Chalta/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "separable_convs": false, 3 | "activation_function": "relu", 4 | "series": "resnetconf_bottleneck", 5 | "increase_factor": 112, 6 | "filter_size": 3, 7 | "filters_per_layer": [ 8 | 1, 9 | 1, 10 | 5, 11 | 1 12 | ], 13 | "depth_multiplier": 1, 14 | "image_size": 64, 15 | "trainer": "CNTK 2.3.1", 16 | "retargeting_layers": -1, 17 | "name": "resnetconf_bottleneck_I64x64x3_1AS", 18 | "index": 0, 19 | "num_classes": 1000, 20 | "model": "resnetconf_bottleneck" 21 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Chalta/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "total_samples": 50000, 3 | "average_top5_error": 0.18414, 4 | "average_top1_error": 0.41258, 5 | "average_loss": 1.7574182336616515 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Chalta/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['train', 'val', 'test'] 5 | categories: [704, 771, 68, 519, 145, 698, 667, 828, 861, 158] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | Running predict for 10 images 5 times each 15 | 16 | Evaluate for top classification accuracy: 17 | Total of 10 images: 18 | top1 accuracy : 60.000% 19 | top5 accuracy : 70.000% 20 | Average prediction time: 220.835 ms 21 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Chenet/Chenet.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:dec3a56832d63c9b66cd01bb6870628cc1aa4d772dd073b198986f8435e8d06e 3 | size 81033512 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Chenet/Chenet.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:526f98750fbe73e9d0ce5431b83025425f24162c80b962e5d6d3d95d022b587b 3 | size 99057951 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Chenet/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "num_quantization_bits": 32, 3 | "minibatch_size": 128, 4 | "keep_all_checkpoints": false, 5 | "restore": true, 6 | "warm_up": 0, 7 | "momentum": 0.9, 8 | "max_epochs": 112, 9 | "epoch_size": 1281167, 10 | "l2_reg_weight": 0.0005, 11 | "block_size": null, 12 | "lr_scale": 1.0 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Chenet/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "separable_convs": false, 3 | "filter_size": 3, 4 | "num_classes": 1000, 5 | "depth_multiplier": 1, 6 | "retargeting_layers": -1, 7 | "filters_per_layer": [], 8 | "image_size": 128, 9 | "series": "resnet34", 10 | "model": "resnet34", 11 | "index": 0, 12 | "trainer": "CNTK 2.3.1", 13 | "activation_function": "relu", 14 | "increase_factor": 112, 15 | "name": "resnet34_f_I128x128x3_ADS" 16 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Chenet/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top5_error": 0.11764, 3 | "average_top1_error": 0.31808, 4 | "total_samples": 50000, 5 | "average_loss": 1.3059782102394104 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Chenet/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Looking for: resnet34_f_I128x128x3_ADS in 2 | Found input_shape [128,128,3] 3 | Average prediction time: 0.8364858627319336 4 | Looking for: resnet34_f_I128x128x3_ADS in 5 | Found input_shape [128,128,3] 6 | Average prediction time: 0.8386359214782715 7 | Looking for: resnet34_f_I128x128x3_ADS in 8 | Found input_shape [128,128,3] 9 | Average prediction time: 0.8399016857147217 10 | Looking for: resnet34_f_I128x128x3_ADS in 11 | Found input_shape [128,128,3] 12 | Average prediction time: 0.8422019481658936 13 | Looking for: resnet34_f_I128x128x3_ADS in 14 | Found input_shape [128,128,3] 15 | Average prediction time: 0.8361244201660156 16 | Looking for: resnet34_f_I128x128x3_ADS in 17 | Found input_shape [128,128,3] 18 | Average prediction time: 0.8355421423912048 19 | Looking for: resnet34_f_I128x128x3_ADS in 20 | Found input_shape [128,128,3] 21 | Average prediction time: 0.838226318359375 22 | Looking for: resnet34_f_I128x128x3_ADS in 23 | Found input_shape [128,128,3] 24 | Average prediction time: 0.8393015265464783 25 | Looking for: resnet34_f_I128x128x3_ADS in 26 | Found input_shape [128,128,3] 27 | Average prediction time: 0.8341709971427917 28 | Looking for: resnet34_f_I128x128x3_ADS in 29 | Found input_shape [128,128,3] 30 | Average prediction time: 0.8351144790649414 31 | Total time: 4779.311768 ms count: 5 32 | Total time: 8959.117188 ms count: 10 33 | Total time: 13140.073486 ms count: 15 34 | Total time: 17327.369385 ms count: 20 35 | Total time: 21499.745850 ms count: 25 36 | Total time: 25668.760742 ms count: 30 37 | Total time: 29840.183105 ms count: 35 38 | Total time: 34016.694824 ms count: 40 39 | Total time: 38175.744141 ms count: 45 40 | Total time: 42334.363525 ms count: 50 41 | Process has exited 42 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Clary/Clary.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:2bbc6cd6c158d8e3bb21b22942a09217287b7cb5ed0f21a46a8624ad257f2cf3 3 | size 30808220 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Clary/Clary.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:12d5fad6427ff13881269fd099d8684b29f396b4394f6833a27ba765f61d4423 3 | size 37530139 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Clary/Clary_pi3.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:88cd72a517ff4514d1676bf2fed27ac343856357beb42b9b9151561c3045aa12 3 | size 38122832 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Clary/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "num_quantization_bits": 32, 3 | "restore": true, 4 | "momentum": 0.9, 5 | "max_epochs": 112, 6 | "lr_scale": 1.0, 7 | "l2_reg_weight": 0.0001, 8 | "warm_up": 0, 9 | "minibatch_size": 128, 10 | "keep_all_checkpoints": false, 11 | "block_size": null, 12 | "epoch_size": 1281167 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Clary/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "trainer": "CNTK 2.5.1", 3 | "retargeting_layers": -1, 4 | "series": "resnetconf_bottleneck", 5 | "model": "resnetconf_bottleneck", 6 | "activation_function": "relu", 7 | "num_classes": 1000, 8 | "filters_per_layer": [ 9 | 1, 10 | 1, 11 | 1, 12 | 0 13 | ], 14 | "index": 0, 15 | "name": "resnetconf_bottleneck_I128x128x3_1AS", 16 | "image_size": 128, 17 | "filter_size": 3, 18 | "depth_multiplier": 1, 19 | "separable_convs": true 20 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Clary/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top1_error": 0.33352, 3 | "total_samples": 50000, 4 | "average_top5_error": 0.12832, 5 | "average_loss": 1.3842793557929993 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Clary/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['val', 'train', 'test'] 5 | categories: [704, 771, 68, 519, 145, 698, 667, 828, 861, 158] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | Running predict for 10 images 5 times each 15 | 16 | Evaluate for top classification accuracy: 17 | Total of 10 images: 18 | top1 accuracy : 30.000% 19 | top5 accuracy : 70.000% 20 | Average prediction time: 506.492 ms 21 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Clover/Clover.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:88bad3112021935953b65d2d92b39f79053735f2a9a871433ba2d55be1a779de 3 | size 12240848 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Clover/Clover.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:3ace9541bcae6a2470b6d04eaf8ad4a1587d139dd6f05e68a607525f53285276 3 | size 14857808 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Clover/Clover_pi3.ell.zip: 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"resnetconf_bottleneck_I64x64x3_1AS", 4 | "num_classes": 1000, 5 | "filter_size": 3, 6 | "series": "resnetconf_bottleneck", 7 | "image_size": 64, 8 | "trainer": "CNTK 2.5.1", 9 | "separable_convs": true, 10 | "model": "resnetconf_bottleneck", 11 | "depth_multiplier": 1, 12 | "index": 0, 13 | "activation_function": "relu", 14 | "filters_per_layer": [ 15 | 1, 16 | 1, 17 | 1, 18 | 0 19 | ] 20 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Clover/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "total_samples": 50000, 3 | "average_loss": 2.057260803356171, 4 | "average_top5_error": 0.22878, 5 | "average_top1_error": 0.46964 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Clover/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['train', 'val', 'test'] 5 | categories: [704, 771, 68, 519, 145, 698, 667, 828, 861, 158] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | Running predict for 10 images 5 times each 15 | 16 | Evaluate for top classification accuracy: 17 | Total of 10 images: 18 | top1 accuracy : 60.000% 19 | top5 accuracy : 70.000% 20 | Average prediction time: 126.003 ms 21 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Coconut/Coconut.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:f5858a99afb313c4e91958e43e037113f2830e491e4ce8defa9e90a29595e992 3 | size 3083085 4 | -------------------------------------------------------------------------------- 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0.0001, 8 | "warm_up": 0, 9 | "lr_scale": 1.0, 10 | "restore": true, 11 | "minibatch_size": 128, 12 | "block_size": null 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Coconut/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "depth_multiplier": 1, 3 | "index": 0, 4 | "name": "resnetconf_I64x64x3_ADS", 5 | "filters_per_layer": [ 6 | 1, 7 | 2, 8 | 2, 9 | 2 10 | ], 11 | "num_classes": 1000, 12 | "trainer": "CNTK 2.5.1", 13 | "retargeting_layers": -1, 14 | "activation_function": "relu", 15 | "image_size": 64, 16 | "separable_convs": true, 17 | "model": "resnetconf", 18 | "series": "resnetconf", 19 | "filter_size": 3 20 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Coconut/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top1_error": 0.55588, 3 | "average_top5_error": 0.30592, 4 | "total_samples": 50000, 5 | "average_loss": 2.5266755794906617 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Coconut/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['test', 'train', 'val'] 5 | categories: [704, 771, 68, 519, 145, 698, 667, 828, 861, 158] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | Running predict for 10 images 5 times each 15 | 16 | Evaluate for top classification accuracy: 17 | Total of 10 images: 18 | top1 accuracy : 30.000% 19 | top5 accuracy : 50.000% 20 | Average prediction time: 45.637 ms 21 | -------------------------------------------------------------------------------- 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"num_quantization_bits": 32, 8 | "momentum": 0.9, 9 | "lr_scale": 1.0, 10 | "keep_all_checkpoints": false, 11 | "block_size": null, 12 | "restore": true 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Elderflower/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "image_size": 64, 3 | "name": "resnetconf_I64x64x3_ADS", 4 | "index": 0, 5 | "depth_multiplier": 1, 6 | "increase_factor": 112, 7 | "activation_function": "relu", 8 | "retargeting_layers": -1, 9 | "separable_convs": false, 10 | "trainer": "CNTK 2.3.1", 11 | "num_classes": 1000, 12 | "filter_size": 3, 13 | "filters_per_layer": [ 14 | 1, 15 | 2, 16 | 2, 17 | 2 18 | ], 19 | "model": "resnetconf", 20 | "series": "resnetconf" 21 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Elderflower/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "total_samples": 50000, 3 | "average_top1_error": 0.50676, 4 | "average_top5_error": 0.26008, 5 | "average_loss": 2.2401701612091065 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Elderflower/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['train', 'val', 'test'] 5 | categories: [704, 771, 68, 519, 145, 698, 667, 828, 861, 158] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | Running predict for 10 images 5 times each 15 | 16 | Evaluate for top classification accuracy: 17 | Total of 10 images: 18 | top1 accuracy : 40.000% 19 | top5 accuracy : 60.000% 20 | Average prediction time: 112.473 ms 21 | -------------------------------------------------------------------------------- /models/ILSVRC2012/GardenCress/GardenCress.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:cadd6e02952dc676a036940f9a2e8dfa48681ddbdb38937004f65ac8e5f008fe 3 | size 19063280 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/GardenCress/GardenCress.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:cba6280ad270484dc646f065a649b78080a43eb7f19991b5ceebd76bda8d9d99 3 | size 23144927 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/GardenCress/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "warm_up": 0, 3 | "lr_scale": 1.0, 4 | 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-------------------------------------------------------------------------------- /models/ILSVRC2012/Ginger/Ginger_pi3.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:bcf351ac97864c01f14c34034f5cf7781b9cc18efab908e3a8d2915c1e7cd85d 3 | size 12287286 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Ginger/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "epoch_size": 1281167, 3 | "keep_all_checkpoints": false, 4 | "momentum": 0.9, 5 | "warm_up": 0, 6 | "lr_scale": 1.0, 7 | "max_epochs": 112, 8 | "l2_reg_weight": 0.0001, 9 | "num_quantization_bits": 32, 10 | "block_size": null, 11 | "minibatch_size": 128, 12 | "restore": true 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Ginger/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "depth_multiplier": 1.0, 3 | "index": 0, 4 | "name": "resnetconf_I128x128x3_ADS", 5 | "filter_size": 3, 6 | "separable_convs": true, 7 | "filters_per_layer": [ 8 | 1, 9 | 2, 10 | 2, 11 | 2 12 | ], 13 | "activation_function": "relu", 14 | "image_size": 128, 15 | "trainer": "CNTK 2.5.1", 16 | "retargeting_layers": -1, 17 | "series": "resnetconf", 18 | "model": "resnetconf", 19 | "num_classes": 1000 20 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Ginger/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top5_error": 0.1586, 3 | "average_loss": 1.5785240502929687, 4 | "total_samples": 50000, 5 | "average_top1_error": 0.3767 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Ginger/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['train', 'val', 'test'] 5 | categories: [704, 771, 68, 519, 145, 698, 667, 828, 861, 158] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | Running predict for 10 images 5 times each 15 | 16 | Evaluate for top classification accuracy: 17 | Total of 10 images: 18 | top1 accuracy : 40.000% 19 | top5 accuracy : 60.000% 20 | Average prediction time: 205.260 ms 21 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Mashua/Mashua.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:994242cbc4a7c6837ce136b26f0687dd0d4df985e5789701272727fc899c0b39 3 | size 164876303 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Mashua/Mashua.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:1f9485679c1edad42517706d37a6054b444e4dc3b150bdcb78a12cc38385cf0d 3 | size 201989265 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Mashua/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "momentum": 0.9, 3 | "l2_reg_weight": 0.0005, 4 | "minibatch_size": 128, 5 | "max_epochs": 112, 6 | "keep_all_checkpoints": false, 7 | "block_size": null, 8 | "warm_up": 0, 9 | "num_quantization_bits": 32, 10 | "restore": true, 11 | "epoch_size": 1281167, 12 | "lr_scale": 1.0 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Mashua/modelargs.json: 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-------------------------------------------------------------------------------- /models/ILSVRC2012/PandanFlower/PandanFlower_pi3.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:ea84c555842f55c58c67888511e32281b85d97a417b153c3b20486d24f5e4b1b 3 | size 61275242 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/PandanFlower/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "keep_all_checkpoints": false, 3 | "minibatch_size": 128, 4 | "lr_scale": 1.0, 5 | "momentum": 0.9, 6 | "block_size": null, 7 | "warm_up": 0, 8 | "num_quantization_bits": 32, 9 | "epoch_size": 1281167, 10 | "l2_reg_weight": 0.0001, 11 | "restore": true, 12 | "max_epochs": 112 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/PandanFlower/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "filters_per_layer": [ 3 | 3, 4 | 4, 5 | 8, 6 | 0 7 | ], 8 | "trainer": "CNTK 2.3.1", 9 | "separable_convs": false, 10 | "activation_function": "relu", 11 | "retargeting_layers": -1, 12 | "increase_factor": 112, 13 | "model": "resnetconf_bottleneck", 14 | "series": "resnetconf_bottleneck", 15 | "image_size": 64, 16 | "name": "resnetconf_bottleneck_I64x64x3_1AS", 17 | "filter_size": 3, 18 | "index": 0, 19 | "num_classes": 1000, 20 | "depth_multiplier": 1 21 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/PandanFlower/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "total_samples": 50000, 3 | "average_loss": 1.6025393420410157, 4 | "average_top1_error": 0.37954, 5 | "average_top5_error": 0.16198 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/PandanFlower/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['train', 'val', 'test'] 5 | categories: [704, 771, 68, 519, 145, 698, 667, 828, 861, 158] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | Running predict for 10 images 5 times each 15 | 16 | Evaluate for top classification accuracy: 17 | Total of 10 images: 18 | top1 accuracy : 40.000% 19 | top5 accuracy : 80.000% 20 | Average prediction time: 347.243 ms 21 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Pawpaw/Pawpaw.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:d7379cef3b849db7ea131a6c62e43a0f0209979dff85a450a08878c30507abc9 3 | size 21267252 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Pawpaw/Pawpaw.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:e9ec3228f4e0ccf95b0d617793cfddb75a18e4cb1fd6b13023c41cff19301bcd 3 | size 25906604 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Pawpaw/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "lr_scale": 1.0, 3 | "keep_all_checkpoints": false, 4 | "epoch_size": 1281167, 5 | "momentum": 0.9, 6 | "l2_reg_weight": 0.0001, 7 | "block_size": null, 8 | "warm_up": 0, 9 | "max_epochs": 112, 10 | "num_quantization_bits": 32, 11 | "minibatch_size": 128, 12 | "restore": true 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Pawpaw/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "retargeting_layers": -1, 3 | "num_classes": 1000, 4 | "trainer": "CNTK 2.3.1", 5 | "depth_multiplier": 1, 6 | "filter_size": 3, 7 | "index": 0, 8 | "separable_convs": false, 9 | "activation_function": "relu", 10 | "model": "resnetconf", 11 | "image_size": 128, 12 | "series": "resnetconf", 13 | "name": "resnetconf_I128x128x3_ADS", 14 | "filters_per_layer": [ 15 | 1, 16 | 1, 17 | 0, 18 | 0 19 | ], 20 | "increase_factor": 112 21 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Pawpaw/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top1_error": 0.40412, 3 | "average_loss": 1.7231958042335511, 4 | "average_top5_error": 0.17852, 5 | "total_samples": 50000 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Pawpaw/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Looking for: resnetconf_I128x128x3_ADS in 2 | Found input_shape [128,128,3] 3 | Average prediction time: 0.3059764504432678 4 | Looking for: resnetconf_I128x128x3_ADS in 5 | Found input_shape [128,128,3] 6 | Average prediction time: 0.3067992925643921 7 | Looking for: resnetconf_I128x128x3_ADS in 8 | Found input_shape [128,128,3] 9 | Average prediction time: 0.30367177724838257 10 | Looking for: resnetconf_I128x128x3_ADS in 11 | Found input_shape [128,128,3] 12 | Average prediction time: 0.3046993017196655 13 | Looking for: resnetconf_I128x128x3_ADS in 14 | Found input_shape [128,128,3] 15 | Average prediction time: 0.3056204319000244 16 | Looking for: resnetconf_I128x128x3_ADS in 17 | Found input_shape [128,128,3] 18 | Average prediction time: 0.30532240867614746 19 | Looking for: resnetconf_I128x128x3_ADS in 20 | Found input_shape [128,128,3] 21 | Average prediction time: 0.3071017861366272 22 | Looking for: resnetconf_I128x128x3_ADS in 23 | Found input_shape [128,128,3] 24 | Average prediction time: 0.30517852306365967 25 | Looking for: resnetconf_I128x128x3_ADS in 26 | Found input_shape [128,128,3] 27 | Average prediction time: 0.3061688542366028 28 | Looking for: resnetconf_I128x128x3_ADS in 29 | Found input_shape [128,128,3] 30 | Average prediction time: 0.3055042624473572 31 | Total time: 2119.495850 ms count: 5 32 | Total time: 3637.847656 ms count: 10 33 | Total time: 5137.886719 ms count: 15 34 | Total time: 6647.520020 ms count: 20 35 | Total time: 8159.716553 ms count: 25 36 | Total time: 9670.091309 ms count: 30 37 | Total time: 11187.206787 ms count: 35 38 | Total time: 12699.160645 ms count: 40 39 | Total time: 14214.567627 ms count: 45 40 | Total time: 15726.897949 ms count: 50 41 | Process has exited 42 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Pear/Pear.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:14ad00d9a4249180604717b0bf997828ad1ba7fe9c8a8e47eef74d0b7f0da9a0 3 | size 9399416 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Pear/Pear.onnx.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:5f53c8b78207badf4e9ccdf605e37eb00a8fdd73ab07c4d916c9785c8711a0d0 3 | size 7300080 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Pear/Pear_pi3.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:50e5f384e11ead1599abf20c7b455bea05ee807c580abea34fdd5acdfd991127 3 | size 9418834 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Pear/config.yml: -------------------------------------------------------------------------------- 1 | MODEL: 2 | TASK: classifier 3 | ARCH: basic 4 | BASE_NET: densenet_test_3_bn_dw 5 | IMAGE_SIZE: [64, 64] 6 | NUM_CLASSES: 1000 7 | HALF_PRECISION: False 8 | 9 | TRAIN: 10 | MAX_EPOCHS: 90 11 | CHECKPOINT_FREQUENCY: 5 12 | BATCH_SIZE: 256 13 | TRAINABLE_SCOPE: 'base,norm' 14 | RESUME_SCOPE: 'base,norm' 15 | CRITERION: CrossEntropy 16 | OPTIMIZER: 17 | OPTIMIZER: sgd 18 | LEARNING_RATE: 0.1 19 | MOMENTUM: 0.9 20 | WEIGHT_DECAY: 0.0001 21 | LR_SCHEDULER: 22 | SCHEDULER: multi_step 23 | STEPS: [30, 60] 24 | GAMMA: 0.1 25 | WARM_UP_EPOCHS: 3 26 | 27 | TEST: 28 | BATCH_SIZE: 64 29 | TEST_SCOPE: [135, 150] 30 | 31 | DATASET: 32 | DATASET: 'default' 33 | DATASET_FILE: 'ilsvrc.json' 34 | PREPROC: default_preproc_for_classifier 35 | TRAIN_SETS: ['train'] 36 | TEST_SETS: ['val'] 37 | NUM_WORKERS: 16 38 | 39 | PHASE: ['train'] -------------------------------------------------------------------------------- /models/ILSVRC2012/Pear/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['val', 'test', 'train'] 5 | categories: [482, 742, 905, 656, 752, 276, 533, 822, 59, 159] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | OpenBlas: /home/miniconda3/envs/py34/lib/libopenblas_armv7p-r0.3.6.so 15 | 16 | Running predict for 10 images 5 times each 17 | 18 | Evaluate for top classification accuracy: 19 | Total of 10 images: 20 | top1 accuracy : 0.000% 21 | top5 accuracy : 0.000% 22 | Average prediction time: 90.383 ms 23 | -------------------------------------------------------------------------------- /models/ILSVRC2012/SevenSisters/SevenSisters.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:d778f42c91b14904180c5484dddb62f59d784d275e51809efd24b99909e43371 3 | size 66214388 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/SevenSisters/SevenSisters.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:17b788ffa90d6ec7cb0d94c61b86a55bf752de2a74eddbaedf43f35049a474a1 3 | size 80879491 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/SevenSisters/SevenSisters_pi3.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:fe21de51d08de50613c74c29c31c4d3cfe88c87997b333bcbf2855768120473f 3 | size 82162344 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/SevenSisters/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "minibatch_size": 128, 3 | "momentum": 0.9, 4 | "restore": true, 5 | "lr_scale": 1.0, 6 | "epoch_size": 1281167, 7 | "max_epochs": 112, 8 | "l2_reg_weight": 0.0001, 9 | "num_quantization_bits": 32, 10 | "warm_up": 0, 11 | "block_size": null, 12 | "keep_all_checkpoints": false 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/SevenSisters/compile_pi3.txt: -------------------------------------------------------------------------------- 1 | -imap ../../ELL-models/models/ILSVRC2012/SevenSisters/SevenSisters.ell --outputDirectory OptimizedModels/SevenSisters --target pi3 --compiledMap --mapWithOptions --nodeOption 1278,preferredConvolutionMethod,unrolled --nodeOption 1284,preferredConvolutionMethod,winograd --nodeOption 1289,preferredConvolutionMethod,winograd --nodeOption 1296,preferredConvolutionMethod,unrolled --nodeOption 1301,preferredConvolutionMethod,winograd --nodeOption 1305,preferredConvolutionMethod,unrolled --nodeOption 1311,preferredConvolutionMethod,winograd --nodeOption 1316,preferredConvolutionMethod,winograd --nodeOption 1322,preferredConvolutionMethod,winograd --nodeOption 1327,preferredConvolutionMethod,winograd --nodeOption 1334,preferredConvolutionMethod,unrolled --nodeOption 1339,preferredConvolutionMethod,winograd --nodeOption 1343,preferredConvolutionMethod,unrolled --nodeOption 1349,preferredConvolutionMethod,winograd --nodeOption 1354,preferredConvolutionMethod,winograd --nodeOption 1360,preferredConvolutionMethod,winograd --nodeOption 1365,preferredConvolutionMethod,winograd --nodeOption 1372,preferredConvolutionMethod,unrolled --nodeOption 1377,preferredConvolutionMethod,unrolled --nodeOption 1381,preferredConvolutionMethod,unrolled --nodeOption 1387,preferredConvolutionMethod,unrolled --nodeOption 1392,preferredConvolutionMethod,unrolled --nodeOption 1398,preferredConvolutionMethod,unrolled --nodeOption 1403,preferredConvolutionMethod,unrolled --nodeOption 1409,preferredConvolutionMethod,unrolled -------------------------------------------------------------------------------- /models/ILSVRC2012/SevenSisters/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "image_size": 128, 3 | "retargeting_layers": -1, 4 | "name": "resnetconf_I128x128x3_ADS", 5 | "index": 0, 6 | "model": "resnetconf", 7 | "increase_factor": 112, 8 | "num_classes": 1000, 9 | "trainer": "CNTK 2.3.1", 10 | "separable_convs": false, 11 | "series": "resnetconf", 12 | "filters_per_layer": [ 13 | 1, 14 | 2, 15 | 2, 16 | 2 17 | ], 18 | "depth_multiplier": 1, 19 | "filter_size": 3, 20 | "activation_function": "relu" 21 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/SevenSisters/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_loss": 1.406189939956665, 3 | "average_top1_error": 0.33962, 4 | "total_samples": 50000, 5 | "average_top5_error": 0.1341 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/SevenSisters/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['train', 'test', 'val'] 5 | categories: [513, 426, 811, 685, 560, 981, 598, 151, 765] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | Machine: 15 | mac_address: B8:27:EB:DB:D4:A5 16 | ip_address: 10.196.45.166 17 | hostname: raspberrypi 18 | 19 | Running predict for 10 images 5 times each 20 | 21 | Evaluate for top classification accuracy: 22 | Total of 10 images: 23 | top1 accuracy : 60.000% 24 | top5 accuracy : 90.000% 25 | Average prediction time: 489.374 ms 26 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Sweetsop/Sweetsop.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:60a91364ea472f6ccc33d238ea18f8de7e2d12dc9c369b63608bd4df9fb563c0 3 | size 49915369 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Sweetsop/Sweetsop.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:2a21f6eadb47185d910988d39630514b193534ab9fdc61309d023a419f66a520 3 | size 60718817 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Sweetsop/Sweetsop_pi3.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:45777ca0f3e224213f508a223b1108699ebd04e2f89b9e8ae4f29c3137dce9bb 3 | size 61686718 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Sweetsop/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "lr_scale": 1.0, 3 | "warm_up": 0, 4 | "block_size": null, 5 | "restore": true, 6 | "max_epochs": 112, 7 | "minibatch_size": 128, 8 | "l2_reg_weight": 0.0001, 9 | "keep_all_checkpoints": false, 10 | "momentum": 0.9, 11 | "epoch_size": 1281167, 12 | "num_quantization_bits": 32 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Sweetsop/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "resnetconf_bottleneck_I128x128x3_1AS", 3 | "separable_convs": true, 4 | "model": "resnetconf_bottleneck", 5 | "num_classes": 1000, 6 | "depth_multiplier": 1.0, 7 | "activation_function": "relu", 8 | "filters_per_layer": [ 9 | 3, 10 | 4, 11 | 8, 12 | 0 13 | ], 14 | "trainer": "CNTK 2.5.1", 15 | "retargeting_layers": -1, 16 | "image_size": 128, 17 | "filter_size": 3, 18 | "series": "resnetconf_bottleneck", 19 | "index": 0 20 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Sweetsop/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "total_samples": 50000, 3 | "average_top5_error": 0.09224, 4 | "average_loss": 1.1139617814826965, 5 | "average_top1_error": 0.27764 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Sweetsop/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['test', 'val', 'train'] 5 | categories: [352, 898, 386, 12, 238, 278, 921, 154, 442, 761] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | Running predict for 10 images 5 times each 15 | 16 | Evaluate for top classification accuracy: 17 | Total of 10 images: 18 | top1 accuracy : 80.000% 19 | top5 accuracy : 100.000% 20 | Average prediction time: 1012.382 ms 21 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Tamarind/Tamarind.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:9b181cd3b66359a65d5cda3ccd3ef0b2609ac8ead7cbe315341b377fb2634d8f 3 | size 48584196 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Tamarind/Tamarind.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:0994595f6581e7bf327a4a4d03be6c73d65bbaeb81471e09111a82d0620e93bf 3 | size 59089433 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Tamarind/Tamarind_pi3.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:8b8cfc02781081545b9787c6f2489684ca9a6a96a0964d98b8bc76fc3c790ff9 3 | size 60035214 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Tamarind/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "epoch_size": 1281167, 3 | "restore": true, 4 | "l2_reg_weight": 0.0001, 5 | "minibatch_size": 128, 6 | "keep_all_checkpoints": false, 7 | "num_quantization_bits": 32, 8 | "warm_up": 0, 9 | "block_size": null, 10 | "lr_scale": 1.0, 11 | "momentum": 0.9, 12 | "max_epochs": 112 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Tamarind/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "resnetconf_bottleneck_I128x128x3_1AS", 3 | "index": 0, 4 | "model": "resnetconf_bottleneck", 5 | "trainer": "CNTK 2.5.1", 6 | "num_classes": 1000, 7 | "image_size": 128, 8 | "activation_function": "relu", 9 | "filters_per_layer": [ 10 | 1, 11 | 1, 12 | 5, 13 | 1 14 | ], 15 | "series": "resnetconf_bottleneck", 16 | "separable_convs": true, 17 | "filter_size": 3, 18 | "retargeting_layers": -1, 19 | "depth_multiplier": 1 20 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Tamarind/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "total_samples": 50000, 3 | "average_top5_error": 0.10434, 4 | "average_loss": 1.2021784104919433, 5 | "average_top1_error": 0.29536 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Tamarind/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['train', 'val', 'test'] 5 | categories: [640, 97, 611, 428, 756, 884, 980, 764, 445] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | Running predict for 10 images 5 times each 15 | 16 | Evaluate for top classification accuracy: 17 | Total of 10 images: 18 | top1 accuracy : 80.000% 19 | top5 accuracy : 90.000% 20 | Average prediction time: 664.932 ms 21 | -------------------------------------------------------------------------------- /models/ILSVRC2012/WaterApple/WaterApple.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:a06164c2fb836119aa90a3d3eeef57139c59710cc835ab3114dcba4aa3c08da3 3 | size 31357507 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/WaterApple/WaterApple.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:4f46cd185d17a0877c6432d5468ceca5fcf6900faa1d5d57187949c39a473871 3 | size 38001015 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/WaterApple/WaterApple_pi3.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:df7c59f6d127336f12f23f73e953f6da6612d23132a42b139a5a0ad9d2643ea4 3 | size 38610881 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/WaterApple/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "lr_scale": 1.0, 3 | "keep_all_checkpoints": false, 4 | "num_quantization_bits": 32, 5 | "block_size": null, 6 | "max_epochs": 112, 7 | "epoch_size": 1281167, 8 | "restore": true, 9 | "minibatch_size": 128, 10 | "l2_reg_weight": 0.0001, 11 | "momentum": 0.9, 12 | "warm_up": 0 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/WaterApple/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "filter_size": 3, 3 | "filters_per_layer": [ 4 | 3, 5 | 4, 6 | 8, 7 | 0 8 | ], 9 | "separable_convs": true, 10 | "series": "resnetconf_bottleneck", 11 | "activation_function": "relu", 12 | "model": "resnetconf_bottleneck", 13 | "num_classes": 1000, 14 | "name": "resnetconf_bottleneck_I64x64x3_1AS", 15 | "trainer": "CNTK 2.5.1", 16 | "retargeting_layers": -1, 17 | "depth_multiplier": 1, 18 | "index": 0, 19 | "image_size": 64 20 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/WaterApple/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_loss": 1.6446583758926392, 3 | "average_top1_error": 0.38794, 4 | "total_samples": 50000, 5 | "average_top5_error": 0.16772 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/WaterApple/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['train', 'val', 'test'] 5 | categories: [997, 936, 73, 268, 79, 657, 883, 149, 828, 188] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | Running predict for 10 images 5 times each 15 | 16 | Evaluate for top classification accuracy: 17 | Total of 10 images: 18 | top1 accuracy : 20.000% 19 | top5 accuracy : 70.000% 20 | Average prediction time: 268.992 ms 21 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Wattleseed/Wattleseed.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:e3d8d248fa284b16548de76ac9339ef3cac48d61c60c3e866d7c0e311884978c 3 | size 106484291 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Wattleseed/Wattleseed.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:9e451b666bbf7ccae6518f3d4ec9a5110f23af17d6f836572654ef4f7005be21 3 | size 130226487 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/Wattleseed/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "l2_reg_weight": 0.0005, 3 | "block_size": null, 4 | "epoch_size": 1281167, 5 | "keep_all_checkpoints": false, 6 | "num_quantization_bits": 32, 7 | "momentum": 0.9, 8 | "max_epochs": 112, 9 | "lr_scale": 1.0, 10 | "restore": true, 11 | "minibatch_size": 128, 12 | "warm_up": 0 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Wattleseed/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "series": "resnet101", 3 | "filters_per_layer": [], 4 | "activation_function": "relu", 5 | "num_classes": 1000, 6 | "name": "resnet101_f_I64x64x3_1AS", 7 | "index": 0, 8 | "image_size": 64, 9 | "model": "resnet101", 10 | "increase_factor": 112, 11 | "separable_convs": false, 12 | "filter_size": 3, 13 | "retargeting_layers": -1, 14 | "depth_multiplier": 1, 15 | "trainer": "CNTK 2.3.1" 16 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Wattleseed/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top1_error": 0.3677, 3 | "total_samples": 50000, 4 | "average_top5_error": 0.15284, 5 | "average_loss": 1.5486845695114135 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/Wattleseed/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Dataset contains 10 images. 2 | select conditions: 3 | tasks: ['classification'] 4 | sets: ['val', 'test', 'train'] 5 | categories: [737, 132, 583, 489, 972, 113, 467, 89, 90, 639] 6 | count: -1 7 | Found 10 images match all the conditions. 8 | Load 10 images self. 9 | 10 | Predict: 11 | task: classification 12 | threshold: 0.15 13 | 14 | Running predict for 10 images 5 times each 15 | 16 | Evaluate for top classification accuracy: 17 | Total of 10 images: 18 | top1 accuracy : 80.000% 19 | top5 accuracy : 80.000% 20 | Average prediction time: 601.187 ms 21 | -------------------------------------------------------------------------------- /models/ILSVRC2012/d_I128x128x3CMCMCMCMCMCMC1AS/d_I128x128x3CMCMCMCMCMCMC1AS.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid 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-------------------------------------------------------------------------------- 1 | BatchNormalization(Parameter5, Parameter6, Input3) -> Block27_Output_0; 2 | 3 | Convolution(Parameter36, Parameter37, Block27_Output_0) -> Block69_Output_0; 4 | 5 | MaxPooling(Block69_Output_0) -> Block105_Output_0; 6 | 7 | BatchNormalization(Parameter126, Parameter127, Block105_Output_0) -> Block148_Output_0; 8 | 9 | Convolution(Parameter173, Parameter174, Block148_Output_0) -> Block206_Output_0; 10 | 11 | MaxPooling(Block206_Output_0) -> Block258_Output_0; 12 | 13 | BatchNormalization(Parameter295, Parameter296, Block258_Output_0) -> Block317_Output_0; 14 | 15 | Convolution(Parameter358, Parameter359, Block317_Output_0) -> Block391_Output_0; 16 | 17 | MaxPooling(Block391_Output_0) -> Block459_Output_0; 18 | 19 | BatchNormalization(Parameter512, Parameter513, Block459_Output_0) -> Block534_Output_0; 20 | 21 | Convolution(Parameter591, Parameter592, Block534_Output_0) -> Block624_Output_0; 22 | 23 | MaxPooling(Block624_Output_0) -> Block708_Output_0; 24 | 25 | BatchNormalization(Parameter777, Parameter778, Block708_Output_0) -> Block799_Output_0; 26 | 27 | Convolution(Parameter872, Parameter873, Block799_Output_0) -> Block905_Output_0; 28 | 29 | MaxPooling(Block905_Output_0) -> Block1005_Output_0; 30 | 31 | Convolution(Parameter1090, Parameter1091, Block1005_Output_0) -> Block1123_Output_0; 32 | 33 | AveragePooling(Block1123_Output_0) -> Block1235_Output_0; 34 | 35 | Reshape(Block1235_Output_0) -> Reshape1332_Output_0; 36 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "model": "d_constrained_depth_addition_nr", 3 | "increase_factor": 144, 4 | "type": "real", 5 | "filter_size": 3, 6 | "force_batchnorm": true, 7 | "name": "dcda_I64x64x3CMCMCMCMCMC1AS", 8 | "index": 0, 9 | "trainer": "CNTK 2.2", 10 | "series": "d_constrained_depth_addition_nr", 11 | "image_size": 64, 12 | "num_classes": 1000 13 | } 14 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top1_error": 0.54462, 3 | "total_samples": 50000, 4 | "average_top5_error": 0.30006, 5 | "average_loss": 2.5107752104187013 6 | } 7 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Looking for: dcda_I64x64x3CMCMCMCMCMC1AS in 2 | Found input_shape [64,64,3] 3 | Average prediction time: 0.574845016002655 4 | Looking for: dcda_I64x64x3CMCMCMCMCMC1AS in 5 | Found input_shape [64,64,3] 6 | Average prediction time: 0.596107006072998 7 | Looking for: dcda_I64x64x3CMCMCMCMCMC1AS in 8 | Found input_shape [64,64,3] 9 | Average prediction time: 0.5825706720352173 10 | Looking for: dcda_I64x64x3CMCMCMCMCMC1AS in 11 | Found input_shape [64,64,3] 12 | Average prediction time: 0.5818637013435364 13 | Looking for: dcda_I64x64x3CMCMCMCMCMC1AS in 14 | Found input_shape [64,64,3] 15 | Average prediction time: 0.5808593034744263 16 | Looking for: dcda_I64x64x3CMCMCMCMCMC1AS in 17 | Found input_shape [64,64,3] 18 | Average prediction time: 0.5818748474121094 19 | Looking for: dcda_I64x64x3CMCMCMCMCMC1AS in 20 | Found input_shape [64,64,3] 21 | Average prediction time: 0.5806137323379517 22 | Looking for: dcda_I64x64x3CMCMCMCMCMC1AS in 23 | Found input_shape [64,64,3] 24 | Average prediction time: 0.5803807973861694 25 | Looking for: dcda_I64x64x3CMCMCMCMCMC1AS in 26 | Found input_shape [64,64,3] 27 | Average prediction time: 0.5808268189430237 28 | Looking for: dcda_I64x64x3CMCMCMCMCMC1AS in 29 | Found input_shape [64,64,3] 30 | Average prediction time: 0.5810139775276184 31 | Total time: 3423.175049 ms count: 5 32 | Total time: 6373.666748 ms count: 10 33 | Total time: 9277.929443 ms count: 15 34 | Total time: 12175.086914 ms count: 20 35 | Total time: 15070.530518 ms count: 25 36 | Total time: 17967.040283 ms count: 30 37 | Total time: 20865.368164 ms count: 35 38 | Total time: 23755.658691 ms count: 40 39 | Total time: 26654.258057 ms count: 45 40 | Total time: 29547.162842 ms count: 50 41 | Process has exited 42 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v2/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "max_epochs": 112, 3 | "warm_up": 0, 4 | "momentum": 0.9, 5 | "keep_all_checkpoints": false, 6 | "epoch_size": 160128, 7 | "lr_scale": 1.0, 8 | "block_size": null, 9 | "restore": true, 10 | "num_quantization_bits": 32, 11 | "minibatch_size": 64 12 | } 13 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v2/dcda_I64x64x3CMCMCMCMCMC1AS_v2.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:ff9592cd6280e164a34f6ae76442cdedc9d2b5778fbd18c51383d51eff256cc9 3 | size 21276991 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v2/dcda_I64x64x3CMCMCMCMCMC1AS_v2.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:69593f5ea37a13e4d1c1f76eee9e37f8e64c278bcc5f8dbfd9c38ead01b63c8a 3 | size 25965913 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v2/description.txt: -------------------------------------------------------------------------------- 1 | BatchNormalization(Parameter5, Parameter6, Input3) -> Block27_Output_0; 2 | 3 | Convolution(Parameter36, Parameter37, Block27_Output_0) -> Block69_Output_0; 4 | 5 | MaxPooling(Block69_Output_0) -> Block105_Output_0; 6 | 7 | BatchNormalization(Parameter126, Parameter127, Block105_Output_0) -> Block148_Output_0; 8 | 9 | Convolution(Parameter173, Parameter174, Block148_Output_0) -> Block206_Output_0; 10 | 11 | MaxPooling(Block206_Output_0) -> Block258_Output_0; 12 | 13 | BatchNormalization(Parameter295, Parameter296, Block258_Output_0) -> Block317_Output_0; 14 | 15 | Convolution(Parameter358, Parameter359, Block317_Output_0) -> Block391_Output_0; 16 | 17 | MaxPooling(Block391_Output_0) -> Block459_Output_0; 18 | 19 | BatchNormalization(Parameter512, Parameter513, Block459_Output_0) -> Block534_Output_0; 20 | 21 | Convolution(Parameter591, Parameter592, Block534_Output_0) -> Block624_Output_0; 22 | 23 | MaxPooling(Block624_Output_0) -> Block708_Output_0; 24 | 25 | BatchNormalization(Parameter777, Parameter778, Block708_Output_0) -> Block799_Output_0; 26 | 27 | Convolution(Parameter872, Parameter873, Block799_Output_0) -> Block905_Output_0; 28 | 29 | MaxPooling(Block905_Output_0) -> Block1005_Output_0; 30 | 31 | Convolution(Parameter1090, Parameter1091, Block1005_Output_0) -> Block1123_Output_0; 32 | 33 | AveragePooling(Block1123_Output_0) -> Block1235_Output_0; 34 | 35 | Reshape(Block1235_Output_0) -> Reshape1332_Output_0; 36 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v2/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "type": "real", 3 | "increase_factor": 160, 4 | "num_classes": 1000, 5 | "index": 0, 6 | "name": "dcda_I64x64x3CMCMCMCMCMC1AS_v2", 7 | "trainer": "CNTK 2.2", 8 | "model": "d_constrained_depth_addition_nr", 9 | "filter_size": 3, 10 | "series": "d_constrained_depth_addition_nr", 11 | "image_size": 64, 12 | "force_batchnorm": true 13 | } 14 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v2/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_loss": 2.4526487851715086, 3 | "average_top1_error": 0.53772, 4 | "total_samples": 50000, 5 | "average_top5_error": 0.29098 6 | } 7 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v3/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "max_epochs": 112, 3 | "num_quantization_bits": 32, 4 | "block_size": null, 5 | "minibatch_size": 64, 6 | "momentum": 0.9, 7 | "keep_all_checkpoints": false, 8 | "epoch_size": 160128, 9 | "warm_up": 0, 10 | "lr_scale": 1.0, 11 | "restore": true 12 | } 13 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v3/dcda_I64x64x3CMCMCMCMCMC1AS_v3.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:2948caf77eed3dbcea98f7e102d1a734c38ed78b8adea8fad10ff4c55e149fe5 3 | size 25473762 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v3/dcda_I64x64x3CMCMCMCMCMC1AS_v3.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:fbb87fce7e7d63e1dcabb6f31457349940fa37001aaecf1b0b213b565219dc55 3 | size 31121555 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v3/description.txt: -------------------------------------------------------------------------------- 1 | BatchNormalization(Parameter5, Parameter6, Input3) -> Block27_Output_0; 2 | 3 | Convolution(Parameter36, Parameter37, Block27_Output_0) -> Block69_Output_0; 4 | 5 | MaxPooling(Block69_Output_0) -> Block105_Output_0; 6 | 7 | BatchNormalization(Parameter126, Parameter127, Block105_Output_0) -> Block148_Output_0; 8 | 9 | Convolution(Parameter173, Parameter174, Block148_Output_0) -> Block206_Output_0; 10 | 11 | MaxPooling(Block206_Output_0) -> Block258_Output_0; 12 | 13 | BatchNormalization(Parameter295, Parameter296, Block258_Output_0) -> Block317_Output_0; 14 | 15 | Convolution(Parameter358, Parameter359, Block317_Output_0) -> Block391_Output_0; 16 | 17 | MaxPooling(Block391_Output_0) -> Block459_Output_0; 18 | 19 | BatchNormalization(Parameter512, Parameter513, Block459_Output_0) -> Block534_Output_0; 20 | 21 | Convolution(Parameter591, Parameter592, Block534_Output_0) -> Block624_Output_0; 22 | 23 | MaxPooling(Block624_Output_0) -> Block708_Output_0; 24 | 25 | BatchNormalization(Parameter777, Parameter778, Block708_Output_0) -> Block799_Output_0; 26 | 27 | Convolution(Parameter872, Parameter873, Block799_Output_0) -> Block905_Output_0; 28 | 29 | MaxPooling(Block905_Output_0) -> Block1005_Output_0; 30 | 31 | Convolution(Parameter1090, Parameter1091, Block1005_Output_0) -> Block1123_Output_0; 32 | 33 | AveragePooling(Block1123_Output_0) -> Block1235_Output_0; 34 | 35 | Reshape(Block1235_Output_0) -> Reshape1332_Output_0; 36 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v3/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "dcda_I64x64x3CMCMCMCMCMC1AS_v3", 3 | "series": "d_constrained_depth_addition_nr", 4 | "num_classes": 1000, 5 | "index": 0, 6 | "filter_size": 3, 7 | "force_batchnorm": true, 8 | "trainer": "CNTK 2.2", 9 | "image_size": 64, 10 | "model": "d_constrained_depth_addition_nr", 11 | "increase_factor": 176, 12 | "type": "real" 13 | } 14 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v3/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_loss": 2.4190161716461183, 3 | "average_top1_error": 0.52782, 4 | "total_samples": 50000, 5 | "average_top5_error": 0.28694 6 | } 7 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v4/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "keep_all_checkpoints": false, 3 | "num_quantization_bits": 32, 4 | "epoch_size": 160128, 5 | "minibatch_size": 64, 6 | "max_epochs": 112, 7 | "lr_scale": 1.0, 8 | "warm_up": 0, 9 | "momentum": 0.9, 10 | "restore": true, 11 | "block_size": null 12 | } 13 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v4/dcda_I64x64x3CMCMCMCMCMC1AS_v4.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:b23f2205390d7fdc47eef37cef063e34264f587c61ba0be90505f588e1199552 3 | size 30047225 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v4/dcda_I64x64x3CMCMCMCMCMC1AS_v4.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:d5bb32c761f4d79760a0c95ae6ed767ee9e254a0aa8a1031e4221049e2502e32 3 | size 36741942 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v4/description.txt: -------------------------------------------------------------------------------- 1 | BatchNormalization(Parameter5, Parameter6, Input3) -> Block27_Output_0; 2 | 3 | Convolution(Parameter36, Parameter37, Block27_Output_0) -> Block69_Output_0; 4 | 5 | MaxPooling(Block69_Output_0) -> Block105_Output_0; 6 | 7 | BatchNormalization(Parameter126, Parameter127, Block105_Output_0) -> Block148_Output_0; 8 | 9 | Convolution(Parameter173, Parameter174, Block148_Output_0) -> Block206_Output_0; 10 | 11 | MaxPooling(Block206_Output_0) -> Block258_Output_0; 12 | 13 | BatchNormalization(Parameter295, Parameter296, Block258_Output_0) -> Block317_Output_0; 14 | 15 | Convolution(Parameter358, Parameter359, Block317_Output_0) -> Block391_Output_0; 16 | 17 | MaxPooling(Block391_Output_0) -> Block459_Output_0; 18 | 19 | BatchNormalization(Parameter512, Parameter513, Block459_Output_0) -> Block534_Output_0; 20 | 21 | Convolution(Parameter591, Parameter592, Block534_Output_0) -> Block624_Output_0; 22 | 23 | MaxPooling(Block624_Output_0) -> Block708_Output_0; 24 | 25 | BatchNormalization(Parameter777, Parameter778, Block708_Output_0) -> Block799_Output_0; 26 | 27 | Convolution(Parameter872, Parameter873, Block799_Output_0) -> Block905_Output_0; 28 | 29 | MaxPooling(Block905_Output_0) -> Block1005_Output_0; 30 | 31 | Convolution(Parameter1090, Parameter1091, Block1005_Output_0) -> Block1123_Output_0; 32 | 33 | AveragePooling(Block1123_Output_0) -> Block1235_Output_0; 34 | 35 | Reshape(Block1235_Output_0) -> Reshape1332_Output_0; 36 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v4/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "dcda_I64x64x3CMCMCMCMCMC1AS_v4", 3 | "series": "d_constrained_depth_addition_nr", 4 | "type": "real", 5 | "num_classes": 1000, 6 | "model": "d_constrained_depth_addition_nr", 7 | "trainer": "CNTK 2.2", 8 | "image_size": 64, 9 | "index": 0, 10 | "increase_factor": 192, 11 | "filter_size": 3, 12 | "force_batchnorm": true 13 | } 14 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v4/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top1_error": 0.52188, 3 | "average_loss": 2.37672172832489, 4 | "total_samples": 50000, 5 | "average_top5_error": 0.28086 6 | } 7 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v5/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "warm_up": 0, 3 | "keep_all_checkpoints": false, 4 | "restore": true, 5 | "epoch_size": 160128, 6 | "lr_scale": 1.0, 7 | "momentum": 0.9, 8 | "block_size": null, 9 | "max_epochs": 112, 10 | "num_quantization_bits": 32, 11 | "minibatch_size": 64 12 | } 13 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v5/dcda_I64x64x3CMCMCMCMCMC1AS_v5.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:1b376c949d952b95dac657bef3b47b43ca062c127d93344d2c3d939c12bb3918 3 | size 35000080 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v5/dcda_I64x64x3CMCMCMCMCMC1AS_v5.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:983c4c82c01b9d8e2e49798f8bc115cbcee795b2a89db4a3e935592abdd499ee 3 | size 42839886 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v5/description.txt: -------------------------------------------------------------------------------- 1 | BatchNormalization(Parameter5, Parameter6, Input3) -> Block27_Output_0; 2 | 3 | Convolution(Parameter36, Parameter37, Block27_Output_0) -> Block69_Output_0; 4 | 5 | MaxPooling(Block69_Output_0) -> Block105_Output_0; 6 | 7 | BatchNormalization(Parameter126, Parameter127, Block105_Output_0) -> Block148_Output_0; 8 | 9 | Convolution(Parameter173, Parameter174, Block148_Output_0) -> Block206_Output_0; 10 | 11 | MaxPooling(Block206_Output_0) -> Block258_Output_0; 12 | 13 | BatchNormalization(Parameter295, Parameter296, Block258_Output_0) -> Block317_Output_0; 14 | 15 | Convolution(Parameter358, Parameter359, Block317_Output_0) -> Block391_Output_0; 16 | 17 | MaxPooling(Block391_Output_0) -> Block459_Output_0; 18 | 19 | BatchNormalization(Parameter512, Parameter513, Block459_Output_0) -> Block534_Output_0; 20 | 21 | Convolution(Parameter591, Parameter592, Block534_Output_0) -> Block624_Output_0; 22 | 23 | MaxPooling(Block624_Output_0) -> Block708_Output_0; 24 | 25 | BatchNormalization(Parameter777, Parameter778, Block708_Output_0) -> Block799_Output_0; 26 | 27 | Convolution(Parameter872, Parameter873, Block799_Output_0) -> Block905_Output_0; 28 | 29 | MaxPooling(Block905_Output_0) -> Block1005_Output_0; 30 | 31 | Convolution(Parameter1090, Parameter1091, Block1005_Output_0) -> Block1123_Output_0; 32 | 33 | AveragePooling(Block1123_Output_0) -> Block1235_Output_0; 34 | 35 | Reshape(Block1235_Output_0) -> Reshape1332_Output_0; 36 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v5/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "num_classes": 1000, 3 | "force_batchnorm": true, 4 | "index": 0, 5 | "model": "d_constrained_depth_addition_nr", 6 | "type": "real", 7 | "name": "dcda_I64x64x3CMCMCMCMCMC1AS_v5", 8 | "trainer": "CNTK 2.2", 9 | "series": "d_constrained_depth_addition_nr", 10 | "image_size": 64, 11 | "filter_size": 3, 12 | "increase_factor": 208 13 | } 14 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v5/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_loss": 2.3467604174804686, 3 | "average_top1_error": 0.51636, 4 | "average_top5_error": 0.27486, 5 | "total_samples": 50000 6 | } 7 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v6/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "momentum": 0.9, 3 | "num_quantization_bits": 32, 4 | "block_size": null, 5 | "lr_scale": 1.0, 6 | "restore": true, 7 | "epoch_size": 160128, 8 | "max_epochs": 112, 9 | "keep_all_checkpoints": false, 10 | "warm_up": 0, 11 | "minibatch_size": 64 12 | } 13 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v6/dcda_I64x64x3CMCMCMCMCMC1AS_v6.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:9bcb389c7b94b474830353efda71214e9201d599bc0ac4d1ee8dc25b96bcf069 3 | size 40330778 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v6/dcda_I64x64x3CMCMCMCMCMC1AS_v6.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:1cf003b68f6c4e443fe2dd675d892570bf67749ca28893c983122bdbc2774948 3 | size 49405273 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v6/description.txt: -------------------------------------------------------------------------------- 1 | BatchNormalization(Parameter5, Parameter6, Input3) -> Block27_Output_0; 2 | 3 | Convolution(Parameter36, Parameter37, Block27_Output_0) -> Block69_Output_0; 4 | 5 | MaxPooling(Block69_Output_0) -> Block105_Output_0; 6 | 7 | BatchNormalization(Parameter126, Parameter127, Block105_Output_0) -> Block148_Output_0; 8 | 9 | Convolution(Parameter173, Parameter174, Block148_Output_0) -> Block206_Output_0; 10 | 11 | MaxPooling(Block206_Output_0) -> Block258_Output_0; 12 | 13 | BatchNormalization(Parameter295, Parameter296, Block258_Output_0) -> Block317_Output_0; 14 | 15 | Convolution(Parameter358, Parameter359, Block317_Output_0) -> Block391_Output_0; 16 | 17 | MaxPooling(Block391_Output_0) -> Block459_Output_0; 18 | 19 | BatchNormalization(Parameter512, Parameter513, Block459_Output_0) -> Block534_Output_0; 20 | 21 | Convolution(Parameter591, Parameter592, Block534_Output_0) -> Block624_Output_0; 22 | 23 | MaxPooling(Block624_Output_0) -> Block708_Output_0; 24 | 25 | BatchNormalization(Parameter777, Parameter778, Block708_Output_0) -> Block799_Output_0; 26 | 27 | Convolution(Parameter872, Parameter873, Block799_Output_0) -> Block905_Output_0; 28 | 29 | MaxPooling(Block905_Output_0) -> Block1005_Output_0; 30 | 31 | Convolution(Parameter1090, Parameter1091, Block1005_Output_0) -> Block1123_Output_0; 32 | 33 | AveragePooling(Block1123_Output_0) -> Block1235_Output_0; 34 | 35 | Reshape(Block1235_Output_0) -> Reshape1332_Output_0; 36 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v6/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "filter_size": 3, 3 | "model": "d_constrained_depth_addition_nr", 4 | "index": 0, 5 | "type": "real", 6 | "name": "dcda_I64x64x3CMCMCMCMCMC1AS_v6", 7 | "trainer": "CNTK 2.2", 8 | "force_batchnorm": true, 9 | "num_classes": 1000, 10 | "series": "d_constrained_depth_addition_nr", 11 | "increase_factor": 224, 12 | "image_size": 64 13 | } 14 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dcda_I64x64x3CMCMCMCMCMC1AS_v6/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_loss": 2.3160664833831786, 3 | "average_top1_error": 0.50858, 4 | "total_samples": 50000, 5 | "average_top5_error": 0.26824 6 | } 7 | -------------------------------------------------------------------------------- /models/ILSVRC2012/ddcs2_I128x128x3CCCCCCCCCCCCCC1AS/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "minibatch_size": 128, 3 | "num_quantization_bits": 32, 4 | "warm_up": 0, 5 | "restore": true, 6 | "keep_all_checkpoints": false, 7 | "epoch_size": 320256, 8 | "block_size": null, 9 | "max_epochs": 112, 10 | "lr_scale": 1.0, 11 | "momentum": 0.9 12 | } 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-------------------------------------------------------------------------------- 1 | BatchNormalization(Parameter5, Parameter6, Input3) -> Block27_Output_0; 2 | 3 | Convolution(Parameter36, Parameter37, Block27_Output_0) -> Block69_Output_0; 4 | 5 | BatchNormalization(Parameter88, Parameter89, Block69_Output_0) -> Block110_Output_0; 6 | 7 | Convolution(Parameter131, Parameter132, Block110_Output_0) -> Block164_Output_0; 8 | 9 | BatchNormalization(Parameter195, Parameter196, Block164_Output_0) -> Block217_Output_0; 10 | 11 | Convolution(Parameter250, Parameter251, Block217_Output_0) -> Block283_Output_0; 12 | 13 | BatchNormalization(Parameter326, Parameter327, Block283_Output_0) -> Block348_Output_0; 14 | 15 | Convolution(Parameter393, Parameter394, Block348_Output_0) -> Block426_Output_0; 16 | 17 | BatchNormalization(Parameter481, Parameter482, Block426_Output_0) -> Block503_Output_0; 18 | 19 | Convolution(Parameter560, Parameter561, Block503_Output_0) -> Block593_Output_0; 20 | 21 | BatchNormalization(Parameter660, Parameter661, Block593_Output_0) -> Block682_Output_0; 22 | 23 | Convolution(Parameter751, Parameter752, Block682_Output_0) -> Block784_Output_0; 24 | 25 | BatchNormalization(Parameter863, Parameter864, Block784_Output_0) -> Block885_Output_0; 26 | 27 | Convolution(Parameter966, Parameter967, Block885_Output_0) -> Block999_Output_0; 28 | 29 | BatchNormalization(Parameter1090, Parameter1091, Block999_Output_0) -> Block1112_Output_0; 30 | 31 | Convolution(Parameter1205, Parameter1206, Block1112_Output_0) -> Block1238_Output_0; 32 | 33 | Convolution(Parameter1341, Parameter1342, Block1238_Output_0) -> Block1374_Output_0; 34 | 35 | AveragePooling(Block1374_Output_0) -> Block1502_Output_0; 36 | 37 | Reshape(Block1502_Output_0) -> Reshape1615_Output_0; 38 | -------------------------------------------------------------------------------- /models/ILSVRC2012/ddcs2_I128x128x3CCCCCCCCCCCCCC1AS/modelargs.json: 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"filter_size": 3, 11 | "type": "real", 12 | "name": "dsb_I64x64x3CMCMCMCMCCCMC1AS", 13 | "force_batchnorm": true 14 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/dsb_I64x64x3CMCMCMCMCCCMC1AS/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top5_error": 0.33656, 3 | "average_top1_error": 0.58934, 4 | "total_samples": 50000, 5 | "average_loss": 2.7036666917419434 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/dsb_I64x64x3CMCMCMCMCCCMC1AS/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Looking for: dsb_I64x64x3CMCMCMCMCCCMC1AS in 2 | Found input_shape [64,64,3] 3 | Average prediction time: 0.10027027130126953 4 | Looking for: dsb_I64x64x3CMCMCMCMCCCMC1AS in 5 | Found input_shape [64,64,3] 6 | Average prediction time: 0.09233009815216064 7 | Looking for: dsb_I64x64x3CMCMCMCMCCCMC1AS in 8 | Found input_shape [64,64,3] 9 | Average prediction time: 0.09282493591308594 10 | Looking for: dsb_I64x64x3CMCMCMCMCCCMC1AS in 11 | Found input_shape [64,64,3] 12 | Average prediction time: 0.09379851818084717 13 | Looking for: dsb_I64x64x3CMCMCMCMCCCMC1AS in 14 | Found input_shape [64,64,3] 15 | Average prediction time: 0.09401553869247437 16 | Looking for: dsb_I64x64x3CMCMCMCMCCCMC1AS in 17 | Found input_shape [64,64,3] 18 | Average prediction time: 0.0913780927658081 19 | Looking for: dsb_I64x64x3CMCMCMCMCCCMC1AS in 20 | Found input_shape [64,64,3] 21 | Average prediction time: 0.09223490953445435 22 | Looking for: dsb_I64x64x3CMCMCMCMCCCMC1AS in 23 | Found input_shape [64,64,3] 24 | Average prediction time: 0.09357655048370361 25 | Looking for: dsb_I64x64x3CMCMCMCMCCCMC1AS in 26 | Found input_shape [64,64,3] 27 | Average prediction time: 0.09348416328430176 28 | Looking for: dsb_I64x64x3CMCMCMCMCCCMC1AS in 29 | Found input_shape [64,64,3] 30 | Average prediction time: 0.09356456995010376 31 | Total time: 961.519287 ms count: 5 32 | Total time: 1438.605225 ms count: 10 33 | Total time: 1892.100830 ms count: 15 34 | Total time: 2352.398438 ms count: 20 35 | Total time: 2807.510254 ms count: 25 36 | Total time: 3253.447266 ms count: 30 37 | Total time: 3701.525391 ms count: 35 38 | Total time: 4155.719482 ms count: 40 39 | Total time: 4609.066406 ms count: 45 40 | Total time: 5063.684326 ms count: 50 41 | Process has exited 42 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dscs2_I128x128x3CCCCCCC1AS/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "num_quantization_bits": 32, 3 | "restore": true, 4 | "lr_scale": 1.0, 5 | "max_epochs": 112, 6 | "keep_all_checkpoints": false, 7 | "block_size": null, 8 | "epoch_size": 320256, 9 | "momentum": 0.9, 10 | "minibatch_size": 128, 11 | "warm_up": 0 12 | } 13 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dscs2_I128x128x3CCCCCCC1AS/description.txt: -------------------------------------------------------------------------------- 1 | BatchNormalization(Parameter5, Parameter6, Input3) -> Block27_Output_0; 2 | 3 | Convolution(Parameter36, Parameter37, Block27_Output_0) -> Block69_Output_0; 4 | 5 | BatchNormalization(Parameter88, Parameter89, Block69_Output_0) -> Block110_Output_0; 6 | 7 | Convolution(Parameter131, Parameter132, Block110_Output_0) -> Block164_Output_0; 8 | 9 | BatchNormalization(Parameter195, Parameter196, Block164_Output_0) -> Block217_Output_0; 10 | 11 | Convolution(Parameter250, Parameter251, Block217_Output_0) -> Block283_Output_0; 12 | 13 | BatchNormalization(Parameter326, Parameter327, Block283_Output_0) -> Block348_Output_0; 14 | 15 | Convolution(Parameter393, Parameter394, Block348_Output_0) -> Block426_Output_0; 16 | 17 | BatchNormalization(Parameter481, Parameter482, Block426_Output_0) -> Block503_Output_0; 18 | 19 | Convolution(Parameter560, Parameter561, Block503_Output_0) -> Block593_Output_0; 20 | 21 | Convolution(Parameter660, Parameter661, Block593_Output_0) -> Block693_Output_0; 22 | 23 | AveragePooling(Block693_Output_0) -> Block785_Output_0; 24 | 25 | Reshape(Block785_Output_0) -> Reshape862_Output_0; 26 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dscs2_I128x128x3CCCCCCC1AS/dscs2_I128x128x3CCCCCCC1AS.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:129a055d364a809528d5e6e4c3a73e68619cd54e5c92e174870634dddca37612 3 | size 18096605 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dscs2_I128x128x3CCCCCCC1AS/dscs2_I128x128x3CCCCCCC1AS.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:5b3e85161bb114aedcf9e46a737672ef4a8d3986785aea34d6c9bfc5eeb7df90 3 | size 22117759 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dscs2_I128x128x3CCCCCCC1AS/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "index": 0, 3 | "image_size": 128, 4 | "trainer": "CNTK 2.2", 5 | "name": "dscs2_I128x128x3CCCCCCC1AS", 6 | "type": "real", 7 | "filter_size": 5, 8 | "force_batchnorm": true, 9 | "num_classes": 1000, 10 | "model": "d_singleconv_stride2", 11 | "series": "d_singleconv_stride2" 12 | } 13 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dscs2_I128x128x3CCCCCCC1AS/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top1_error": 0.5468, 3 | "average_loss": 2.5196371643066406, 4 | "total_samples": 50000, 5 | "average_top5_error": 0.30366 6 | } 7 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dsf_I128x128x3CCMCCMCCMCMCMCMC1AS/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "epoch_size": 320256, 3 | "max_epochs": 112, 4 | "lr_scale": 1.0, 5 | "restore": true, 6 | "minibatch_size": 128, 7 | "keep_all_checkpoints": false, 8 | "warm_up": 0, 9 | "block_size": null, 10 | "num_quantization_bits": 32, 11 | "momentum": 0.96 12 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/dsf_I128x128x3CCMCCMCCMCMCMCMC1AS/dsf_I128x128x3CCMCCMCCMCMCMCMC1AS.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:64df293c5e582e42758518e03d03247cd9c85c1e7e391a475baad0e8ed4e7e62 3 | size 27922468 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dsf_I128x128x3CCMCCMCCMCMCMCMC1AS/dsf_I128x128x3CCMCCMCCMCMCMCMC1AS.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:212fb3c23f0fad58df83e98585a32742fa8e8c3c674fdd3315feeca7026e26bf 3 | size 34216778 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dsf_I128x128x3CCMCCMCCMCMCMCMC1AS/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "series": "dstackedfull", 3 | "image_size": 128, 4 | "trainer": "CNTK 2.2", 5 | "num_classes": 1000, 6 | "model": "dstackedfull", 7 | "type": "real", 8 | "name": "dsf_I128x128x3CCMCCMCCMCMCMCMC1AS", 9 | "force_batchnorm": true, 10 | "index": 0 11 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/dsf_I128x128x3CCMCCMCCMCMCMCMC1AS/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top1_error": 0.4023, 3 | "total_samples": 50000, 4 | "average_loss": 1.7295427075195313, 5 | "average_top5_error": 0.17882 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/dsf_I64x64x3CCMCCMCCMCMCMC1AS/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "minibatch_size": 192, 3 | "epoch_size": 280256, 4 | "restore": true, 5 | "num_quantization_bits": 32, 6 | "momentum": 0.9, 7 | "block_size": null, 8 | "keep_all_checkpoints": false, 9 | "lr_scale": 1.0, 10 | "max_epochs": 112, 11 | "warm_up": 0 12 | } 13 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dsf_I64x64x3CCMCCMCCMCMCMC1AS/dsf_I64x64x3CCMCCMCCMCMCMC1AS.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:803c53e2d05b36b76dab02f33b25445454638375bf8898998a336ffee60aef1a 3 | size 8472923 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dsf_I64x64x3CCMCCMCCMCMCMC1AS/dsf_I64x64x3CCMCCMCCMCMCMC1AS.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:cfdfecb4c4bd659fe9ee7cbdd4f8f775cac5b445dd97cef1fb3abda892ec8b2d 3 | size 10299560 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dsf_I64x64x3CCMCCMCCMCMCMC1AS/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "index": 0, 3 | "force_batchnorm": true, 4 | "model": "dstackedfull", 5 | "name": 6 | "dsf_I64x64x3CCMCCMCCMCMCMC1AS", 7 | "series": "dstackedfull", 8 | "num_classes": 1000, 9 | "type": "real", 10 | "image_size": 64 11 | } 12 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dsf_I64x64x3CCMCCMCCMCMCMC1AS/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top1_error": 0.55332, 3 | "total_samples": 50000, 4 | "average_top5_error": 0.30296, 5 | "average_loss": 2.5183012098693847 6 | } 7 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dst_I128x128x3CCCMCMCMCMCMCMC1AS/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "momentum": 0.94, 3 | "restore": true, 4 | "epoch_size": 440256, 5 | "max_epochs": 112, 6 | "warm_up": 0, 7 | "minibatch_size": 64, 8 | "num_quantization_bits": 32, 9 | "lr_scale": 1.0, 10 | "block_size": null, 11 | "keep_all_checkpoints": false 12 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/dst_I128x128x3CCCMCMCMCMCMCMC1AS/dst_I128x128x3CCCMCMCMCMCMCMC1AS.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:249fc4e0fdad97c734ea7871f827be397c56670058e96dbdb085df3b604f7c1a 3 | size 27276352 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dst_I128x128x3CCCMCMCMCMCMCMC1AS/dst_I128x128x3CCCMCMCMCMCMCMC1AS.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:56af83bff7c428e1127111eaf270405a6ffa694c86095992ba35ff2e10cce0a3 3 | size 33437262 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dst_I128x128x3CCCMCMCMCMCMCMC1AS/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "index": 0, 3 | "force_batchnorm": true, 4 | "series": "dstackedtop", 5 | "type": "real", 6 | "image_size": 128, 7 | "model": "dstackedtop", 8 | "name": "dst_I128x128x3CCCMCMCMCMCMCMC1AS", 9 | "num_classes": 1000, 10 | "trainer": "CNTK 2.2" 11 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/dst_I128x128x3CCCMCMCMCMCMCMC1AS/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top1_error": 0.40942, 3 | "average_top5_error": 0.18288, 4 | "total_samples": 50000, 5 | "average_loss": 1.7642042566108704 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/dst_I64x64x3CCCMCMCMCMCMC1AS/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "momentum": 0.92, 3 | "warm_up": 0, 4 | "restore": true, 5 | "max_epochs": 112, 6 | "epoch_size": 280256, 7 | "num_quantization_bits": 32, 8 | "minibatch_size": 192, 9 | "block_size": null, 10 | "lr_scale": 1.0, 11 | "keep_all_checkpoints": false 12 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/dst_I64x64x3CCCMCMCMCMCMC1AS/dst_I64x64x3CCCMCMCMCMCMC1AS.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:b10a2a740539c06741c450dca24ce06326ed9809fbd3d0f18923c513d221e554 3 | size 7823936 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dst_I64x64x3CCCMCMCMCMCMC1AS/dst_I64x64x3CCCMCMCMCMCMC1AS.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:6057e76f797ffdd586b9c4f5ddcf03ca91a9fa00580a17dd7772445d32555c57 3 | size 9511205 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/dst_I64x64x3CCCMCMCMCMCMC1AS/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "image_size": 64, 3 | "type": "real", 4 | "index": 0, 5 | "num_classes": 1000, 6 | "name": "dst_I64x64x3CCCMCMCMCMCMC1AS", 7 | "model": "dstackedtop", 8 | "series": "dstackedtop", 9 | "force_batchnorm": true 10 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/dst_I64x64x3CCCMCMCMCMCMC1AS/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top1_error": 0.5687, 3 | "average_top5_error": 0.32038, 4 | "total_samples": 50000, 5 | "average_loss": 2.6185060376358034 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/dst_I64x64x3CCCMCMCMCMCMC1AS/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Looking for: dst_I64x64x3CCCMCMCMCMCMC1AS in 2 | Found input_shape [64,64,3] 3 | Average prediction time: 0.2726143002510071 4 | Looking for: dst_I64x64x3CCCMCMCMCMCMC1AS in 5 | Found input_shape [64,64,3] 6 | Average prediction time: 0.2734711766242981 7 | Looking for: dst_I64x64x3CCCMCMCMCMCMC1AS in 8 | Found input_shape [64,64,3] 9 | Average prediction time: 0.2730291485786438 10 | Looking for: dst_I64x64x3CCCMCMCMCMCMC1AS in 11 | Found input_shape [64,64,3] 12 | Average prediction time: 0.2741519808769226 13 | Looking for: dst_I64x64x3CCCMCMCMCMCMC1AS in 14 | Found input_shape [64,64,3] 15 | Average prediction time: 0.2725535035133362 16 | Looking for: dst_I64x64x3CCCMCMCMCMCMC1AS in 17 | Found input_shape [64,64,3] 18 | Average prediction time: 0.2752460837364197 19 | Looking for: dst_I64x64x3CCCMCMCMCMCMC1AS in 20 | Found input_shape [64,64,3] 21 | Average prediction time: 0.2725776433944702 22 | Looking for: dst_I64x64x3CCCMCMCMCMCMC1AS in 23 | Found input_shape [64,64,3] 24 | Average prediction time: 0.2741847634315491 25 | Looking for: dst_I64x64x3CCCMCMCMCMCMC1AS in 26 | Found input_shape [64,64,3] 27 | Average prediction time: 0.2745240330696106 28 | Looking for: dst_I64x64x3CCCMCMCMCMCMC1AS in 29 | Found input_shape [64,64,3] 30 | Average prediction time: 0.2733805179595947 31 | Total time: 1944.128174 ms count: 5 32 | Total time: 3299.043945 ms count: 10 33 | Total time: 4652.653076 ms count: 15 34 | Total time: 6015.976318 ms count: 20 35 | Total time: 7366.617432 ms count: 25 36 | Total time: 8729.384033 ms count: 30 37 | Total time: 10079.670898 ms count: 35 38 | Total time: 11440.445312 ms count: 40 39 | Total time: 12802.910400 ms count: 45 40 | Total time: 14161.304688 ms count: 50 41 | Process has exited 42 | -------------------------------------------------------------------------------- /models/ILSVRC2012/v_I160x160x3CCMCCMCCCMCCCMCCCMF2048S/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "image_size": 160, 3 | "name": "v_I160x160x3CCMCCMCCCMCCCMCCCMF2048S", 4 | "index": 0, 5 | "fc_sizes": [ 6 | 2048 7 | ], 8 | "series": "v", 9 | "num_layers": 16, 10 | "model": "v", 11 | "num_classes": 1000 12 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/v_I160x160x3CCMCCMCCCMCCCMCCCMF2048S/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top5_error": 0.11624, 3 | "average_top1_error": 0.31606, 4 | "average_loss": 1.397932979478836, 5 | "total_samples": 50000 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/v_I160x160x3CCMCCMCCCMCCCMCCCMF2048S/v_I160x160x3CCMCCMCCCMCCCMCCCMF2048S.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:9b4e7af1c683edfaaf06b0e8001eea70ee8e08118030987217141ffc424ab29b 3 | size 159475795 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/v_I160x160x3CCMCCMCCCMCCCMCCCMF2048S/v_I160x160x3CCMCCMCCCMCCCMCCCMF2048S.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:193f122665f0999d0e1434b1d7fd81b7fdee773f79f7dabdb5b8fb8ec3528b42 3 | size 197195759 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/v_I160x160x3CCMCCMCCCMCCCMCCCMF4096S/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "index": 0, 3 | "name": "v_I160x160x3CCMCCMCCCMCCCMCCCMF4096S", 4 | "series": "v", 5 | "num_layers": 16, 6 | "image_size": 160, 7 | "fc_sizes": [ 8 | 4096 9 | ], 10 | "model": "v", 11 | "num_classes": 1000 12 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/v_I160x160x3CCMCCMCCCMCCCMCCCMF4096S/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_top1_error": 0.31584, 3 | "average_loss": 1.4606345227909088, 4 | "average_top5_error": 0.11616, 5 | "total_samples": 50000 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/v_I160x160x3CCMCCMCCCMCCCMCCCMF4096S/v_I160x160x3CCMCCMCCCMCCCMCCCMF4096S.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:c48733d81ae18ca183fb1c07cc7bb1a1112a0410e7e88c0cade2817318d63517 3 | size 264193329 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/v_I160x160x3CCMCCMCCCMCCCMCCCMF4096S/v_I160x160x3CCMCCMCCCMCCCMCCCMF4096S.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:ec73440ff797d204c38e4b3a003a64347416bec2d26073741a6f57507b637d7b 3 | size 327332760 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/v_I160x160x3CCMCCMCCCMCCCMCCCMF4096S/validation_pi3.out: -------------------------------------------------------------------------------- 1 | Looking for: v_I160x160x3CCMCCMCCCMCCCMCCCMF4096S in 2 | -------------------------------------------------------------------------------- /models/ILSVRC2012/v_I192x192x3CCMCCMCCCMCCCMCCCMF1024F1024S/modelargs.json: -------------------------------------------------------------------------------- 1 | { 2 | "image_size": 192, 3 | "fc_sizes": [ 4 | 1024, 5 | 1024 6 | ], 7 | "index": 0, 8 | "num_layers": 16, 9 | "series": "v", 10 | "model": "v", 11 | "name": "v_I192x192x3CCMCCMCCCMCCCMCCCMF1024F1024S", 12 | "num_classes": 1000 13 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/v_I192x192x3CCMCCMCCCMCCCMCCCMF1024F1024S/test_eval.json: -------------------------------------------------------------------------------- 1 | { 2 | "average_loss": 1.530311887664795, 3 | "total_samples": 50000, 4 | "average_top5_error": 0.14666, 5 | "average_top1_error": 0.36502 6 | } -------------------------------------------------------------------------------- /models/ILSVRC2012/v_I192x192x3CCMCCMCCCMCCCMCCCMF1024F1024S/v_I192x192x3CCMCCMCCCMCCCMCCCMF1024F1024S.cntk.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:62ec18b35177aacd9035a6177fd05048f8c29c796cce7d580da38ea37a2d0073 3 | size 132327094 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/v_I192x192x3CCMCCMCCCMCCCMCCCMF1024F1024S/v_I192x192x3CCMCCMCCCMCCCMCCCMF1024F1024S.ell.zip: -------------------------------------------------------------------------------- 1 | version https://git-lfs.github.com/spec/v1 2 | oid sha256:2eb1816d7bbc42412aa820978e6fd0154c7f0574884e57d3ff1cd7281cc931de 3 | size 163405483 4 | -------------------------------------------------------------------------------- /models/ILSVRC2012/v_I64x64x3CCMCCMCCCCMCCCCMCCCCMF2048S/args.json: -------------------------------------------------------------------------------- 1 | { 2 | "lr_scale": 1.0, 3 | "minibatch_size": 128, 4 | "l2_reg_weight": 0.0005, 5 | "block_size": null, 6 | "momentum": 0.9, 7 | "keep_all_checkpoints": false, 8 | "warm_up": 0, 9 | "epoch_size": 1281167, 10 | "restore": true, 11 | "max_epochs": 112, 12 | "num_quantization_bits": 32 13 | } -------------------------------------------------------------------------------- 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