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Adjusted English grammar in logs to be more clear (#554)

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* Update train_network.py

* Update train_network.py

* Update train_network.py

* Update train_network.py

* Update train_network.py

* Update train_network.py
This commit is contained in:
TingTingin
2023-05-31 23:31:33 -04:00
committed by GitHub
parent 8a5e3904a0
commit 5931948adb
1 changed files with 9 additions and 10 deletions
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17
train_network.py
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@@ -80,25 +80,25 @@ def train(args):
# データセットを準備する
blueprint_generator = BlueprintGenerator(ConfigSanitizer(True, True, True))
if use_user_config:
print(f"Load dataset config from {args.dataset_config}")
print(f"Loading dataset config from {args.dataset_config}")
user_config = config_util.load_user_config(args.dataset_config)
ignored = ["train_data_dir", "reg_data_dir", "in_json"]
if any(getattr(args, attr) is not None for attr in ignored):
print(
"ignore following options because config file is found: {0} / 設定ファイルが利用されるため以下のオプションは無視されます: {0}".format(
"ignoring the following options because config file is found: {0} / 設定ファイルが利用されるため以下のオプションは無視されます: {0}".format(
", ".join(ignored)
)
)
else:
if use_dreambooth_method:
print("Use DreamBooth method.")
print("Using DreamBooth method.")
user_config = {
"datasets": [
{"subsets": config_util.generate_dreambooth_subsets_config_by_subdirs(args.train_data_dir, args.reg_data_dir)}
]
}
else:
print("Train with captions.")
print("Training with captions.")
user_config = {
"datasets": [
{
@@ -135,7 +135,7 @@ def train(args):
), "when caching latents, either color_aug or random_crop cannot be used / latentをキャッシュするときはcolor_augとrandom_cropは使えません"
# acceleratorを準備する
print("prepare accelerator")
print("preparing accelerator")
accelerator, unwrap_model = train_util.prepare_accelerator(args)
is_main_process = accelerator.is_main_process
@@ -171,7 +171,6 @@ def train(args):
module.merge_to(text_encoder, unet, weights_sd, weight_dtype, accelerator.device if args.lowram else "cpu")
print(f"all weights merged: {', '.join(args.base_weights)}")
# 学習を準備する
if cache_latents:
vae.to(accelerator.device, dtype=weight_dtype)
@@ -210,7 +209,7 @@ def train(args):
if args.network_weights is not None:
info = network.load_weights(args.network_weights)
print(f"load network weights from {args.network_weights}: {info}")
print(f"loaded network weights from {args.network_weights}: {info}")
if args.gradient_checkpointing:
unet.enable_gradient_checkpointing()
@@ -218,7 +217,7 @@ def train(args):
network.enable_gradient_checkpointing() # may have no effect
# 学習に必要なクラスを準備する
print("prepare optimizer, data loader etc.")
print("preparing optimizer, data loader etc.")
# 後方互換性を確保するよ
try:
@@ -263,7 +262,7 @@ def train(args):
assert (
args.mixed_precision == "fp16"
), "full_fp16 requires mixed precision='fp16' / full_fp16を使う場合はmixed_precision='fp16'を指定してください。"
print("enable full fp16 training.")
print("enabling full fp16 training.")
network.to(weight_dtype)
# acceleratorがなんかよろしくやってくれるらしい