diff --git a/main/eva_sh/eva_wrap_bird_meta.sh b/main/eva_sh/eva_wrap_bird_meta.sh index 7455de99..b0a3de4b 100644 --- a/main/eva_sh/eva_wrap_bird_meta.sh +++ b/main/eva_sh/eva_wrap_bird_meta.sh @@ -33,7 +33,7 @@ do do for MINR in 0.0001 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/eva_sh/eva_wrap_bird_orig.sh b/main/eva_sh/eva_wrap_bird_orig.sh index 9bd9adfd..a075d997 100644 --- a/main/eva_sh/eva_wrap_bird_orig.sh +++ b/main/eva_sh/eva_wrap_bird_orig.sh @@ -26,7 +26,7 @@ RATIO=1.0 ################# Please set “–save_results” to be T AND “--load_super_model” to be T ################# -python3 train_unsuper.py \ +python3 main.py \ --save_results T\ --load_super_model T\ --spa_enc_type $ENC \ diff --git a/main/eva_sh/eva_wrap_ffn_bird_meta.sh b/main/eva_sh/eva_wrap_ffn_bird_meta.sh index 64f5a1a3..41809ef4 100644 --- a/main/eva_sh/eva_wrap_ffn_bird_meta.sh +++ b/main/eva_sh/eva_wrap_ffn_bird_meta.sh @@ -27,7 +27,7 @@ RATIO=1.0 ################# Please set “–save_results” to be T AND “--load_super_model” to be T ################# -python3 train_unsuper.py \ +python3 main.py \ --save_results T\ --load_super_model T\ --spa_enc_type $ENC \ diff --git a/main/eva_sh/eva_wrap_ffn_fmow.sh b/main/eva_sh/eva_wrap_ffn_fmow.sh index c6936e8d..966663aa 100644 --- a/main/eva_sh/eva_wrap_ffn_fmow.sh +++ b/main/eva_sh/eva_wrap_ffn_fmow.sh @@ -27,7 +27,7 @@ RATIO=1.0 ################# Please set “–save_results” to be T AND “--load_super_model” to be T ################# -python3 train_unsuper.py \ +python3 main.py \ --save_results T\ --load_super_model T\ --spa_enc_type $ENC \ diff --git a/main/eva_sh/eva_wrap_ffn_yfcc.sh b/main/eva_sh/eva_wrap_ffn_yfcc.sh index 71d61fcb..80823d9b 100644 --- a/main/eva_sh/eva_wrap_ffn_yfcc.sh +++ b/main/eva_sh/eva_wrap_ffn_yfcc.sh @@ -27,7 +27,7 @@ RATIO=1.0 ################# Please set “–save_results” to be T AND “--load_super_model” to be T ################# -python3 train_unsuper.py \ +python3 main.py \ --save_results T\ --load_super_model T\ --spa_enc_type $ENC \ diff --git a/main/eva_sh/eva_wrap_fmow.sh b/main/eva_sh/eva_wrap_fmow.sh index 7f0c563a..ef3159c2 100644 --- a/main/eva_sh/eva_wrap_fmow.sh +++ b/main/eva_sh/eva_wrap_fmow.sh @@ -33,7 +33,7 @@ do do for MINR in 0.02 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/eva_sh/eva_wrap_inat18.sh b/main/eva_sh/eva_wrap_inat18.sh index e0c933fc..1ea10bae 100644 --- a/main/eva_sh/eva_wrap_inat18.sh +++ b/main/eva_sh/eva_wrap_inat18.sh @@ -27,7 +27,7 @@ RATIO=1.0 ################# Please set “–save_results” to be T AND “--load_super_model” to be T ################# -python3 train_unsuper.py \ +python3 main.py \ --save_results T\ --load_super_model T\ --spa_enc_type $ENC \ diff --git a/main/eva_sh/eva_wrap_nabirds.sh b/main/eva_sh/eva_wrap_nabirds.sh index 0f989cb2..ef3aad3d 100644 --- a/main/eva_sh/eva_wrap_nabirds.sh +++ b/main/eva_sh/eva_wrap_nabirds.sh @@ -26,7 +26,7 @@ RATIO=1.0 ################# Please set “–save_results” to be T AND “--load_super_model” to be T ################# -python3 train_unsuper.py \ +python3 main.py \ --save_results T\ --load_super_model T\ --spa_enc_type $ENC \ diff --git a/main/eva_sh/eva_wrap_yfcc.sh b/main/eva_sh/eva_wrap_yfcc.sh index 6317cb93..a2cdf7be 100644 --- a/main/eva_sh/eva_wrap_yfcc.sh +++ b/main/eva_sh/eva_wrap_yfcc.sh @@ -22,7 +22,7 @@ ACT=relu RATIO=1.0 -python3 train_unsuper.py \ +python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/eva_sh/eva_wrapffn_bird_meta.sh b/main/eva_sh/eva_wrapffn_bird_meta.sh index 26f3ac43..bf909890 100644 --- a/main/eva_sh/eva_wrapffn_bird_meta.sh +++ b/main/eva_sh/eva_wrapffn_bird_meta.sh @@ -22,7 +22,7 @@ ACT=relu RATIO=1.0 -python3 train_unsuper.py \ +python3 main.py \ --save_results T\ --load_super_model T\ --spa_enc_type $ENC \ diff --git a/main/eva_sh/eva_wrapffn_bird_orig.sh b/main/eva_sh/eva_wrapffn_bird_orig.sh index 60f1049c..e72029dc 100644 --- a/main/eva_sh/eva_wrapffn_bird_orig.sh +++ b/main/eva_sh/eva_wrapffn_bird_orig.sh @@ -22,7 +22,7 @@ ACT=leakyrelu RATIO=1.0 -python3 train_unsuper.py \ +python3 main.py \ --save_results T\ --load_super_model T\ --spa_enc_type $ENC \ diff --git a/main/eva_sh/eva_wrapffn_inat17.sh b/main/eva_sh/eva_wrapffn_inat17.sh index 00919b81..f6c27729 100644 --- a/main/eva_sh/eva_wrapffn_inat17.sh +++ b/main/eva_sh/eva_wrapffn_inat17.sh @@ -27,7 +27,7 @@ RATIO=1.0 ################# Please set “–save_results” to be T AND “--load_super_model” to be T ################# -python3 train_unsuper.py \ +python3 main.py \ --save_results T\ --load_super_model T\ --spa_enc_type $ENC \ diff --git a/main/eva_sh/eva_wrapffn_inat18.sh b/main/eva_sh/eva_wrapffn_inat18.sh index 858c017b..5aed7ad8 100644 --- a/main/eva_sh/eva_wrapffn_inat18.sh +++ b/main/eva_sh/eva_wrapffn_inat18.sh @@ -27,7 +27,7 @@ RATIO=1.0 ################# Please set “–save_results” to be T AND “--load_super_model” to be T ################# -python3 train_unsuper.py \ +python3 main.py \ --save_results T\ --load_super_model T\ --spa_enc_type $ENC \ diff --git a/main/eva_sh/eva_wrapffn_nabirds.sh b/main/eva_sh/eva_wrapffn_nabirds.sh index 0c39995b..abab4dcf 100644 --- a/main/eva_sh/eva_wrapffn_nabirds.sh +++ b/main/eva_sh/eva_wrapffn_nabirds.sh @@ -22,7 +22,7 @@ ACT=relu RATIO=1.0 -python3 train_unsuper.py \ +python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/eva_sh/eva_xyz_bird_meta.sh b/main/eva_sh/eva_xyz_bird_meta.sh index df4c2c5f..d508c9c3 100644 --- a/main/eva_sh/eva_xyz_bird_meta.sh +++ b/main/eva_sh/eva_xyz_bird_meta.sh @@ -26,7 +26,7 @@ RATIO=1.0 ################# Please set “–save_results” to be T AND “--load_super_model” to be T ################# -python3 train_unsuper.py \ +python3 main.py \ --save_results T\ --load_super_model T\ --spa_enc_type $ENC \ diff --git a/main/eva_sh/eva_xyz_bird_orig.sh b/main/eva_sh/eva_xyz_bird_orig.sh index a4c04ff3..9e953479 100644 --- a/main/eva_sh/eva_xyz_bird_orig.sh +++ b/main/eva_sh/eva_xyz_bird_orig.sh @@ -26,7 +26,7 @@ RATIO=1.0 ################# Please set “–save_results” to be T AND “--load_super_model” to be T ################# -python3 train_unsuper.py \ +python3 main.py \ --save_results T\ --load_super_model T\ --spa_enc_type $ENC \ diff --git a/main/eva_sh/eva_xyz_fmow.sh b/main/eva_sh/eva_xyz_fmow.sh index 34572600..f9028556 100644 --- a/main/eva_sh/eva_xyz_fmow.sh +++ b/main/eva_sh/eva_xyz_fmow.sh @@ -26,7 +26,7 @@ RATIO=1.0 ################# Please set “–save_results” to be T AND “--load_super_model” to be T ################# -python3 train_unsuper.py \ +python3 main.py \ --save_results T\ --load_super_model T\ --spa_enc_type $ENC \ diff --git a/main/eva_sh/eva_xyz_inat17.sh b/main/eva_sh/eva_xyz_inat17.sh index 3f337d7c..ced65a4f 100644 --- a/main/eva_sh/eva_xyz_inat17.sh +++ b/main/eva_sh/eva_xyz_inat17.sh @@ -26,7 +26,7 @@ RATIO=1.0 ################# Please set “–save_results” to be T AND “--load_super_model” to be T ################# -python3 train_unsuper.py \ +python3 main.py \ --save_results T\ --load_super_model F\ --spa_enc_type $ENC \ diff --git a/main/eva_sh/eva_xyz_inat18.sh b/main/eva_sh/eva_xyz_inat18.sh index bbf07f1a..5893398a 100644 --- a/main/eva_sh/eva_xyz_inat18.sh +++ b/main/eva_sh/eva_xyz_inat18.sh @@ -26,7 +26,7 @@ RATIO=1.0 ################# Please set “–save_results” to be T AND “--load_super_model” to be T ################# -python3 train_unsuper.py \ +python3 main.py \ --save_results T\ --load_super_model T\ --spa_enc_type $ENC \ diff --git a/main/eva_sh/eva_xyz_nabirds.sh b/main/eva_sh/eva_xyz_nabirds.sh index ecf3bb2b..10319df7 100644 --- a/main/eva_sh/eva_xyz_nabirds.sh +++ b/main/eva_sh/eva_xyz_nabirds.sh @@ -34,7 +34,7 @@ RATIO=1.0 ################# Please set “–save_results” to be T AND “--load_super_model” to be T ################# -python3 train_unsuper.py \ +python3 main.py \ --save_results T\ --load_super_model F\ --spa_enc_type $ENC \ diff --git a/main/run_sh/run_rff.sh b/main/run_sh/run_rff.sh index f0beae94..8c01e1f4 100644 --- a/main/run_sh/run_rff.sh +++ b/main/run_sh/run_rff.sh @@ -33,7 +33,7 @@ do do for HIDDIM in 512 1024 256 do - python3 train_unsuper.py \ + python3 main.py \ --save_results T\ --load_super_model F\ --spa_enc_type $ENC \ diff --git a/main/run_sh/run_rff_birdsnap.sh b/main/run_sh/run_rff_birdsnap.sh index fd019931..b2664c52 100644 --- a/main/run_sh/run_rff_birdsnap.sh +++ b/main/run_sh/run_rff_birdsnap.sh @@ -39,7 +39,7 @@ do do for KERNELSIZE in 0.5 1 2 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_rff_inat.sh b/main/run_sh/run_rff_inat.sh index 3b457c73..061043b9 100644 --- a/main/run_sh/run_rff_inat.sh +++ b/main/run_sh/run_rff_inat.sh @@ -37,7 +37,7 @@ do do for FREQ in 32 16 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_rff_yfccfmow.sh b/main/run_sh/run_rff_yfccfmow.sh index c07b0d9b..2008037c 100644 --- a/main/run_sh/run_rff_yfccfmow.sh +++ b/main/run_sh/run_rff_yfccfmow.sh @@ -38,7 +38,7 @@ do do for KERNELSIZE in 0.5 1 2 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_sh.sh b/main/run_sh/run_sh.sh index 8df69fa4..c6484d3c 100644 --- a/main/run_sh/run_sh.sh +++ b/main/run_sh/run_sh.sh @@ -34,7 +34,7 @@ do do for HIDDIM in 512 1024 256 do - python3 train_unsuper.py \ + python3 main.py \ --save_results T\ --load_super_model F\ --spa_enc_type $ENC \ diff --git a/main/run_sh/run_spherec.sh b/main/run_sh/run_spherec.sh index 866cc7a6..b3223838 100644 --- a/main/run_sh/run_spherec.sh +++ b/main/run_sh/run_spherec.sh @@ -29,7 +29,7 @@ do do for HIDDIM in 512 1024 256 do - python3 train_unsuper.py \ + python3 main.py \ --save_results T\ --load_super_model F\ --spa_enc_type $ENC \ diff --git a/main/run_sh/run_spherec_bird.sh b/main/run_sh/run_spherec_bird.sh index bdfb3ed1..0e719788 100644 --- a/main/run_sh/run_spherec_bird.sh +++ b/main/run_sh/run_spherec_bird.sh @@ -36,7 +36,7 @@ do do for FREQ in 32 64 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_spherec_inat17.sh b/main/run_sh/run_spherec_inat17.sh index 6d8c7bfc..741081c0 100644 --- a/main/run_sh/run_spherec_inat17.sh +++ b/main/run_sh/run_spherec_inat17.sh @@ -37,7 +37,7 @@ do do for ACT in relu leakyrelu do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_spherec_sus.sh b/main/run_sh/run_spherec_sus.sh index 1f2a3b5f..3aa39bfe 100644 --- a/main/run_sh/run_spherec_sus.sh +++ b/main/run_sh/run_spherec_sus.sh @@ -31,7 +31,7 @@ do do for MINR in 0.10 0.001 0.0001 0.000001 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_spherec_yfccfmow.sh b/main/run_sh/run_spherec_yfccfmow.sh index 6c36a693..e3899027 100644 --- a/main/run_sh/run_spherec_yfccfmow.sh +++ b/main/run_sh/run_spherec_yfccfmow.sh @@ -34,7 +34,7 @@ do do for MINR in 0.001 #0.0005 0.0001 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_spherecplus.sh b/main/run_sh/run_spherecplus.sh index fd08bd78..25a54759 100644 --- a/main/run_sh/run_spherecplus.sh +++ b/main/run_sh/run_spherecplus.sh @@ -30,7 +30,7 @@ do do for HIDDIM in 512 1024 256 do - python3 train_unsuper.py \ + python3 main.py \ --save_results T\ --load_super_model F\ --spa_enc_type $ENC \ diff --git a/main/run_sh/run_spherecplus_bird.sh b/main/run_sh/run_spherecplus_bird.sh index eadc6530..668964f6 100644 --- a/main/run_sh/run_spherecplus_bird.sh +++ b/main/run_sh/run_spherecplus_bird.sh @@ -34,7 +34,7 @@ do do for MINR in 0.001 0.0005 0.0001 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_spherecplus_inat17.sh b/main/run_sh/run_spherecplus_inat17.sh index a30f1a29..a3169add 100644 --- a/main/run_sh/run_spherecplus_inat17.sh +++ b/main/run_sh/run_spherecplus_inat17.sh @@ -37,7 +37,7 @@ do do for ACT in relu leakyrelu do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_spherecplus_yfccfmow.sh b/main/run_sh/run_spherecplus_yfccfmow.sh index f39a0432..0a2521aa 100644 --- a/main/run_sh/run_spherecplus_yfccfmow.sh +++ b/main/run_sh/run_spherecplus_yfccfmow.sh @@ -34,7 +34,7 @@ do do for MINR in 0.001 0.0005 0.0001 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_spherem.sh b/main/run_sh/run_spherem.sh index 31515e3c..204c01b6 100644 --- a/main/run_sh/run_spherem.sh +++ b/main/run_sh/run_spherem.sh @@ -29,7 +29,7 @@ do do for HIDDIM in 512 1024 256 do - python3 train_unsuper.py \ + python3 main.py \ --save_results T\ --load_super_model F\ --spa_enc_type $ENC \ diff --git a/main/run_sh/run_spherem_bird.sh b/main/run_sh/run_spherem_bird.sh index 4037c738..44c94156 100644 --- a/main/run_sh/run_spherem_bird.sh +++ b/main/run_sh/run_spherem_bird.sh @@ -36,7 +36,7 @@ do do for FREQ in 64 32 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_spherem_inat17.sh b/main/run_sh/run_spherem_inat17.sh index bf4369a4..b2da10b8 100644 --- a/main/run_sh/run_spherem_inat17.sh +++ b/main/run_sh/run_spherem_inat17.sh @@ -37,7 +37,7 @@ do do for ACT in relu leakyrelu do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_spherem_yfccfmow.sh b/main/run_sh/run_spherem_yfccfmow.sh index df79e7de..7f32df64 100644 --- a/main/run_sh/run_spherem_yfccfmow.sh +++ b/main/run_sh/run_spherem_yfccfmow.sh @@ -36,7 +36,7 @@ do do for FREQ in 64 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_spheremplus.sh b/main/run_sh/run_spheremplus.sh index 17e484d3..5ab285fa 100644 --- a/main/run_sh/run_spheremplus.sh +++ b/main/run_sh/run_spheremplus.sh @@ -29,7 +29,7 @@ do do for HIDDIM in 512 1024 256 do - python3 train_unsuper.py \ + python3 main.py \ --save_results T\ --load_super_model F\ --spa_enc_type $ENC \ diff --git a/main/run_sh/run_spheremplus_bird_orig.sh b/main/run_sh/run_spheremplus_bird_orig.sh index 5155ff00..a5a2b87f 100644 --- a/main/run_sh/run_spheremplus_bird_orig.sh +++ b/main/run_sh/run_spheremplus_bird_orig.sh @@ -36,7 +36,7 @@ do do for FREQ in 32 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_spheremplus_nabirds.sh b/main/run_sh/run_spheremplus_nabirds.sh index 470b06bc..705a50e2 100644 --- a/main/run_sh/run_spheremplus_nabirds.sh +++ b/main/run_sh/run_spheremplus_nabirds.sh @@ -36,7 +36,7 @@ do do for FREQ in 32 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_sphericalharmonics_birdsnap.sh b/main/run_sh/run_sphericalharmonics_birdsnap.sh index a69e7283..4b24320d 100644 --- a/main/run_sh/run_sphericalharmonics_birdsnap.sh +++ b/main/run_sh/run_sphericalharmonics_birdsnap.sh @@ -38,7 +38,7 @@ do do for LAYER in 3 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_sphericalharmonics_fmow.sh b/main/run_sh/run_sphericalharmonics_fmow.sh index 8651b316..880dc8fe 100644 --- a/main/run_sh/run_sphericalharmonics_fmow.sh +++ b/main/run_sh/run_sphericalharmonics_fmow.sh @@ -38,7 +38,7 @@ do do for LAYER in 3 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_sphericalharmonics_inat2017.sh b/main/run_sh/run_sphericalharmonics_inat2017.sh index d092a73e..90e72220 100644 --- a/main/run_sh/run_sphericalharmonics_inat2017.sh +++ b/main/run_sh/run_sphericalharmonics_inat2017.sh @@ -38,7 +38,7 @@ do do for LAYER in 3 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_sphericalharmonics_inat2018.sh b/main/run_sh/run_sphericalharmonics_inat2018.sh index 71543cfc..bed17ef1 100644 --- a/main/run_sh/run_sphericalharmonics_inat2018.sh +++ b/main/run_sh/run_sphericalharmonics_inat2018.sh @@ -38,7 +38,7 @@ do do for LAYER in 3 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_sphericalharmonics_nabirds.sh b/main/run_sh/run_sphericalharmonics_nabirds.sh index 0895ad40..a326f9b7 100644 --- a/main/run_sh/run_sphericalharmonics_nabirds.sh +++ b/main/run_sh/run_sphericalharmonics_nabirds.sh @@ -38,7 +38,7 @@ do do for LAYER in 3 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_sphericalharmonics_yfcc.sh b/main/run_sh/run_sphericalharmonics_yfcc.sh index 0470c1e8..50dc7543 100644 --- a/main/run_sh/run_sphericalharmonics_yfcc.sh +++ b/main/run_sh/run_sphericalharmonics_yfcc.sh @@ -38,7 +38,7 @@ do do for LAYER in 3 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_theory.sh b/main/run_sh/run_theory.sh index 57dff04c..c6c98277 100644 --- a/main/run_sh/run_theory.sh +++ b/main/run_sh/run_theory.sh @@ -29,7 +29,7 @@ do do for HIDDIM in 512 1024 256 do - python3 train_unsuper.py \ + python3 main.py \ --save_results T\ --load_super_model F\ --spa_enc_type $ENC \ diff --git a/main/run_sh/run_tile.sh b/main/run_sh/run_tile.sh index 460b5fcf..63d44f73 100644 --- a/main/run_sh/run_tile.sh +++ b/main/run_sh/run_tile.sh @@ -29,7 +29,7 @@ do do for HIDDIM in 512 1024 256 do - python3 train_unsuper.py \ + python3 main.py \ --save_results T\ --load_super_model F\ --spa_enc_type $ENC \ diff --git a/main/run_sh/run_tile_mopop.sh b/main/run_sh/run_tile_mopop.sh index 6e8ec344..2c22e9d4 100644 --- a/main/run_sh/run_tile_mopop.sh +++ b/main/run_sh/run_tile_mopop.sh @@ -27,7 +27,7 @@ for LR in 0.00001 #0.00001 0.00002 0.00005 #0.0005 #0.00005 do for MINR in 0.0001 0.001 0.000001 do - python3 train_unsuper.py \ + python3 main.py \ --save_results T\ --load_super_model F\ --spa_enc_type $ENC \ diff --git a/main/run_sh/run_wrap.sh b/main/run_sh/run_wrap.sh index f1426fd8..edc2262e 100644 --- a/main/run_sh/run_wrap.sh +++ b/main/run_sh/run_wrap.sh @@ -29,7 +29,7 @@ do do for HIDDIM in 512 1024 256 do - python3 train_unsuper.py \ + python3 main.py \ --save_results T\ --load_super_model F\ --spa_enc_type $ENC \ diff --git a/main/run_sh/run_wrap_bird.sh b/main/run_sh/run_wrap_bird.sh index aa2f4c8e..09a80bf1 100644 --- a/main/run_sh/run_wrap_bird.sh +++ b/main/run_sh/run_wrap_bird.sh @@ -33,7 +33,7 @@ do do for MINR in 0.10 0.05 0.02 0.01 0.005 0.001 0.0001 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_wrap_inat.sh b/main/run_sh/run_wrap_inat.sh index 01f60401..ad63597e 100644 --- a/main/run_sh/run_wrap_inat.sh +++ b/main/run_sh/run_wrap_inat.sh @@ -33,7 +33,7 @@ do do for MINR in 0.10 0.05 0.02 0.01 0.005 0.001 0.0001 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_wrap_yfccfmow.sh b/main/run_sh/run_wrap_yfccfmow.sh index 8086628b..a7dccf9f 100644 --- a/main/run_sh/run_wrap_yfccfmow.sh +++ b/main/run_sh/run_wrap_yfccfmow.sh @@ -34,7 +34,7 @@ do do for MINR in 0.10 0.05 0.02 0.01 0.005 0.001 0.0001 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_wrapffn.sh b/main/run_sh/run_wrapffn.sh index ac50fdfc..15e07249 100644 --- a/main/run_sh/run_wrapffn.sh +++ b/main/run_sh/run_wrapffn.sh @@ -29,7 +29,7 @@ do do for HIDDIM in 512 1024 256 do - python3 train_unsuper.py \ + python3 main.py \ --save_results T\ --load_super_model F\ --spa_enc_type $ENC \ diff --git a/main/run_sh/run_wrapffn_bird.sh b/main/run_sh/run_wrapffn_bird.sh index 5f8c2f21..f545885a 100644 --- a/main/run_sh/run_wrapffn_bird.sh +++ b/main/run_sh/run_wrapffn_bird.sh @@ -31,7 +31,7 @@ do IFS=',' read DATA META EVALDATA <<< "${x}" for LR in 0.005 0.002 0.001 0.0005 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_wrapffn_yfccfmow.sh b/main/run_sh/run_wrapffn_yfccfmow.sh index f3cf8b7d..1b411c83 100644 --- a/main/run_sh/run_wrapffn_yfccfmow.sh +++ b/main/run_sh/run_wrapffn_yfccfmow.sh @@ -32,7 +32,7 @@ do IFS=',' read DATA META EVALDATA <<< "${x}" for LR in 0.005 0.002 0.001 0.0005 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_xyz_birdsnap.sh b/main/run_sh/run_xyz_birdsnap.sh index dfb50f75..abdfc9ec 100644 --- a/main/run_sh/run_xyz_birdsnap.sh +++ b/main/run_sh/run_xyz_birdsnap.sh @@ -37,7 +37,7 @@ do do for LAYER in 2 3 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \ diff --git a/main/run_sh/run_xyz_inat.sh b/main/run_sh/run_xyz_inat.sh index 9cb3567c..d5616776 100644 --- a/main/run_sh/run_xyz_inat.sh +++ b/main/run_sh/run_xyz_inat.sh @@ -33,7 +33,7 @@ RATIO=1.0 # do # for MINR in 0.005 0.001 0.0001 # do -python3 train_unsuper.py \ +python3 main.py \ --load_super_model T\ --eval_frequency 10 \ --spa_enc_type $ENC \ diff --git a/main/run_sh/run_xyz_sus.sh b/main/run_sh/run_xyz_sus.sh index 34031bd2..40fc6671 100644 --- a/main/run_sh/run_xyz_sus.sh +++ b/main/run_sh/run_xyz_sus.sh @@ -29,7 +29,7 @@ do do for HIDDIM in 512 1024 256 do - python3 train_unsuper.py \ + python3 main.py \ --save_results T\ --load_super_model F\ --spa_enc_type $ENC \ diff --git a/main/run_sh/run_xyz_yfccfmow.sh b/main/run_sh/run_xyz_yfccfmow.sh index 2d7428c9..46552c26 100644 --- a/main/run_sh/run_xyz_yfccfmow.sh +++ b/main/run_sh/run_xyz_yfccfmow.sh @@ -32,7 +32,7 @@ do IFS=',' read DATA META EVALDATA <<< "${x}" for LR in 0.01 0.005 0.002 0.001 0.0005 do - python3 train_unsuper.py \ + python3 main.py \ --spa_enc_type $ENC \ --meta_type $META\ --dataset $DATA \