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update training config

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This commit is contained in:
Zangwei Zheng 2024-04-22 12:05:59 +08:00
parent 8931efccd7
commit 3944e93065
3 changed files with 29 additions and 24 deletions
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38
configs/opensora-v1-1/train/benchmark.py
View file

@ -18,6 +18,7 @@ dataset = dict(
# 5. { resolution: {num_frames: (0.0, None)} }, this bucket will not be used
bucket_config = {
# == manual search ==
# "240p": {128: (1.0, 2)}, # 4.28s/it
# "240p": {64: (1.0, 4)},
# "240p": {32: (1.0, 8)}, # 4.6s/it
@ -32,26 +33,26 @@ bucket_config = {
# "1024": {1: (1.0, 20)}, # 4.3s/it
# "1080p": {1: (1.0, 16)}, # 8.6s/it
# "1080p": {1: (1.0, 8)}, # 4.4s/it
"240p": {
16: (1.0, (2, 32)),
32: (1.0, (2, 16)),
64: (1.0, (2, 8)),
128: (1.0, (2, 6)),
},
"256": {1: (1.0, (128, 300))},
"512": {1: (0.5, (64, 128))},
"480p": {1: (0.4, (32, 128)), 16: (0.4, (2, 32)), 32: (0.0, None)},
"720p": {16: (0.1, (2, 16)), 32: (0.0, None)}, # No examples now
"1024": {1: (0.3, (8, 64))},
"1080p": {1: (0.3, (2, 32))},
# == stage 0 ==
# "240p": {
# 16: (1.0, (2, 32)),
# 32: (1.0, (2, 16)),
# 64: (1.0, (2, 8)),
# 128: (1.0, (2, 6)),
# },
# "256": {1: (1.0, (128, 300))},
# "512": {1: (0.5, (64, 128))},
# "480p": {1: (0.4, (32, 128)), 16: (0.4, (2, 32)), 32: (0.0, None)},
# "720p": {16: (0.1, (2, 16)), 32: (0.0, None)}, # No examples now
# "1024": {1: (0.3, (8, 64))},
# "1080p": {1: (0.3, (2, 32))},
# == stage 2 ==
}
# mask_ratios = {
# "mask_no": 0.0,
# "mask_random": 1.0,
# }
# Define acceleration
num_workers = 4
num_bucket_build_workers = 16
dtype = "bf16"
grad_checkpoint = True
plugin = "zero2"
@ -62,6 +63,7 @@ model = dict(
type="STDiT2-XL/2",
from_pretrained=None,
input_sq_size=512, # pretrained model is trained on 512x512
qk_norm=True,
enable_flashattn=True,
enable_layernorm_kernel=True,
)
@ -69,12 +71,14 @@ vae = dict(
type="VideoAutoencoderKL",
from_pretrained="stabilityai/sd-vae-ft-ema",
micro_batch_size=4,
local_files_only=True,
)
text_encoder = dict(
type="t5",
from_pretrained="DeepFloyd/t5-v1_1-xxl",
model_max_length=200,
shardformer=True,
local_files_only=True,
)
scheduler = dict(
type="iddpm-speed",
@ -91,6 +95,6 @@ log_every = 10
ckpt_every = 1000
load = None
batch_size = 10 # only for logging
batch_size = None
lr = 2e-5
grad_clip = 1.0

11
configs/opensora-v1-1/train/stage2.py
View file

@ -7,12 +7,13 @@ dataset = dict(
image_size=(None, None),
transform_name="resize_crop",
)
bucket_config = { # 6s/it
"256": {1: (1.0, 254)},
"240p": {16: (1.0, 17), 32: (1.0, 9), 64: (1.0, 4), 128: (1.0, 2)},
"512": {1: (0.5, 86)},
bucket_config = { # 7s/it
"144p": {1: (1.0, 48), 16: (1.0, 17), 32: (1.0, 9), 64: (1.0, 4), 128: (0.8, 1)},
"256": {1: (0.8, 254), 16: (0.5, 17), 32: (0.5, 9), 64: (0.5, 4), 128: (0.5, 1)},
"240p": {1: (0.1, 20), 16: (0.9, 17), 32: (0.8, 9), 64: (0.8, 4), 128: (0.8, 2)},
"512": {1: (0.5, 86), 16: (0.2, 4), 32: (0.2, 3), 64: (0.2, 2), 128: (0.0, None)},
"480p": {1: (0.4, 54), 16: (0.4, 4), 32: (0.0, None)},
"720p": {16: (0.1, 2), 32: (0.0, None)},
"720p": {1: (0.1, 20), 16: (0.1, 2), 32: (0.0, None)},
"1024": {1: (0.3, 20)},
"1080p": {1: (0.4, 8)},
}

4
opensora/datasets/sampler.py
View file

@ -216,10 +216,10 @@ class VariableVideoBatchSampler(DistributedSampler):
print(f"Total training samples: {total_samples}, num buckets: {len(num_dict)}")
print("Bucket samples:")
pprint(num_dict)
print("Bucket samples by HxWxT:")
pprint(num_hwt_dict)
print("Bucket samples by aspect ratio:")
pprint(num_aspect_dict)
print("Bucket samples by HxWxT:")
pprint(num_hwt_dict)
print(f"Number of batches: {num_batch}")
self.approximate_num_batch = num_batch