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savers.py
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savers.py
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'''
Utilities for saving data to disk
'''
import os
import numpy as np
import torch
import pickle as pkl
import h5py
def save_checkpoint(checkpoint, path, fname):
""" Save checkpoint to path with fname """
print('Saving checkpoint...')
if not os.path.isdir(path):
os.makedirs(path)
torch.save(checkpoint, path+fname)
def save_activations(activs, path, fname, internal_path):
"""
Save features to path/fname in h5py dataset.
Features saved at <internal_path>/activations/layer_<layer>/.
"""
print('Saving features...')
''' Create file '''
if not os.path.exists(path):
os.makedirs(path)
file = h5py.File(path+fname, 'a')
''' Save features; if exists replace '''
for i, x in enumerate(activs):
dts = internal_path+"/activations/layer_"+str(i)
if dts in file:
data = file[dts]
data[...] = x
else:
file.create_dataset(internal_path+"/activations/layer_"+str(i), data=x, dtype=np.float16)
file.close()
def save_losses(losses, path, fname):
""" Save losses (np.ndarray) to path with fname """
if not os.path.exists(path):
os.makedirs(path)
with open(path+fname, 'wb') as f:
pkl.dump(losses, f, protocol=2)