Delete drafts

drafts/cpfiles.py

@@ -1,22 +0,0 @@
-# %%
-import os
-# %%
-source_dir = "/nfscc/alg23/xalex_distill2/wb/"
-path_contains = "DARK.MAX_EPOCH=90"
-search_filename = "soup.pth"
-# %%
-files = []
-import glob
-for file in glob.glob(os.path.join(source_dir, f"*{path_contains}*", search_filename)):
-    files.append(file)
-files = sorted(files)
-print(files)
-# %%
-target_dir = "/workspace/model_packed2/ckpts/"
-
-for i_subj, file in enumerate(files):
-    print(f"copy {file} to {target_dir}")
-    target_filename = f"subj{i_subj+1:02d}_part2.pth"
-    target_path = os.path.join(target_dir, target_filename)
-    os.system(f"cp {file} {target_path}")
-# %%

drafts/cpvoxel.py

@@ -1,15 +0,0 @@
-# %%
-import numpy as np
-import torch
-import os
-# %%
-path = "/data/ALG23/subj01/data_mask/fsaverage/voxel_indices.npy"
-part1_voxel_indice_dict = {}
-for i in range(1, 9):
-    part1_voxel_indice_dict[f'subj0{i}'] = np.load(f"/data/ALG23/subj0{i}/data_mask/fsaverage/voxel_indices.npy")
-torch.save(part1_voxel_indice_dict, "/nfscc/alg23/xalex_distill2/high/voxel_indices_dict.pth")
-# %%
-part1_voxel_indice_dict = torch.load("/nfscc/alg23/xalex_distill2/high/voxel_indices_dict.pth")
-# %%
-part1_voxel_indice_dict['subj01']
-# %%

drafts/try_load.py

@@ -1,10 +0,0 @@
-# %%
-path = "/nfscc/alg23/xalex_distill2/high/t826c6_00016_DATASET.SUBJECT_LIST=subj01,LOSS.DARK.MAX_EPOCH=90,/soup.pth"
-import torch
-sd = torch.load(path, map_location='cpu')
-print(sd.keys())
-# %%
-sd['coord_dict.subj01'].shape
-# %%
-sd['model.voxel_outs_weight.subj01.weight'].shape
-# %%