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test_epoch.py
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test_epoch.py
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# Testing functions.
# author: ynie
# date: April, 2020
from utils.project_utils import ETA
from models.eval_metrics import ClassMeanMeter, MetricRecorder, AverageMeter
from time import time
import torch
import wandb
def test_func(cfg, tester, test_loader):
'''
test function.
:param cfg: configuration file
:param tester: specific tester for networks
:param test_loader: dataloader for testing
:return:
'''
metric_recorder = MetricRecorder()
cfg.log_string('-' * 100)
eta_calc = ETA(smooth=0.99, ignore_first=True)
for iter, data in enumerate(test_loader):
loss, est_data = tester.test_step(data)
# visualize intermediate results.
vis_step = cfg.config['log'].get('vis_step')
if vis_step and ((iter + 1) % vis_step) == 0:
tester.visualize_step(est_data)
metric_recorder.add(loss)
eta = eta_calc(len(test_loader) - iter - 1)
if ((iter + 1) % cfg.config['log']['print_step']) == 0:
loss_str = ', '.join([f"{k}: {v}" for k, v in loss.items()])
cfg.log_string(f"Phase: {cfg.config['mode']}. "
f"{iter + 1}/{len(test_loader)}. "
f"ETA: {eta}. "
f"Current loss: {{{loss_str}}}.")
wandb.summary['ETA'] = str(eta)
return metric_recorder
def test(cfg, tester, test_loader):
'''
train epochs for network
:param cfg: configuration file
:param tester: specific tester for networks
:param test_loader: dataloader for testing
:return:
'''
cfg.log_string('-' * 100)
# set mode
tester.net.train(cfg.config['mode'] == 'train')
start = time()
with torch.no_grad():
metric_recorder = test_func(cfg, tester, test_loader)
cfg.log_string('Test time elapsed: (%f).' % (time()-start))
cfg.log_string('\n' + str(metric_recorder))
metric_recorder.log()