From 1cfc2a18981ee56bdb69a2de7b463a11ad05e329 Mon Sep 17 00:00:00 2001 From: Melan Date: Wed, 12 Oct 2022 23:36:29 +0200 Subject: Save a csv containing the loss while training --- modules/hypernetworks/hypernetwork.py | 17 ++++++++++++++++- 1 file changed, 16 insertions(+), 1 deletion(-) (limited to 'modules/hypernetworks') diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py index b6c06d49..6522078f 100644 --- a/modules/hypernetworks/hypernetwork.py +++ b/modules/hypernetworks/hypernetwork.py @@ -5,6 +5,7 @@ import os import sys import traceback import tqdm +import csv import torch @@ -174,7 +175,7 @@ def attention_CrossAttention_forward(self, x, context=None, mask=None): return self.to_out(out) -def train_hypernetwork(hypernetwork_name, learn_rate, data_root, log_directory, steps, create_image_every, save_hypernetwork_every, template_file, preview_image_prompt): +def train_hypernetwork(hypernetwork_name, learn_rate, data_root, log_directory, steps, create_image_every, save_hypernetwork_every, write_csv_every, template_file, preview_image_prompt): assert hypernetwork_name, 'hypernetwork not selected' path = shared.hypernetworks.get(hypernetwork_name, None) @@ -256,6 +257,20 @@ def train_hypernetwork(hypernetwork_name, learn_rate, data_root, log_directory, last_saved_file = os.path.join(hypernetwork_dir, f'{hypernetwork_name}-{hypernetwork.step}.pt') hypernetwork.save(last_saved_file) + print(f"{write_csv_every} > {hypernetwork.step % write_csv_every == 0}, {write_csv_every}") + if write_csv_every > 0 and hypernetwork_dir is not None and hypernetwork.step % write_csv_every == 0: + write_csv_header = False if os.path.exists(os.path.join(hypernetwork_dir, "hypernetwork_loss.csv")) else True + + with open(os.path.join(hypernetwork_dir, "hypernetwork_loss.csv"), "a+") as fout: + + csv_writer = csv.DictWriter(fout, fieldnames=["step", "loss"]) + + if write_csv_header: + csv_writer.writeheader() + + csv_writer.writerow({"step": hypernetwork.step, + "loss": f"{losses.mean():.7f}"}) + if hypernetwork.step > 0 and images_dir is not None and hypernetwork.step % create_image_every == 0: last_saved_image = os.path.join(images_dir, f'{hypernetwork_name}-{hypernetwork.step}.png') -- cgit v1.2.1