PDillis
commented
2 years ago Sorry but this code is based on PyTorch. You'd have to change the entire codebase to run on Tensorflow, be it 1.x or 2.x.
Open keenhon opened 2 years ago
PDillis
commented
2 years ago Sorry but this code is based on PyTorch. You'd have to change the entire codebase to run on Tensorflow, be it 1.x or 2.x.
fbarretto
commented
2 years ago Yes, It doesn't run on Tensorflow. But I think he meant that it throws an error on Colab when training a StyleGAN3 #https://github.com/googlecolab/colabtools/issues/2914
I've created a really simple Colab that reproduces the error (on a small dataset)
https://colab.research.google.com/drive/1u7FUYptdQvhq0FFjxV1xWBxk4bfdy59Q
When running:
!python train.py --outdir=./results --cfg=stylegan3-r --data=/content/circles-1024x1024.zip \
--gpus=1 --batch=32 --batch-gpu=4 --gamma=6.6 --mirror=1 --kimg=1 --snap=5 --metrics=None\
--resume=https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-r-ffhqu-1024x1024.pklOutput is:
Training options:
{
"G_kwargs": {
"class_name": "training.networks_stylegan3.Generator",
"z_dim": 512,
"w_dim": 512,
"mapping_kwargs": {
"num_layers": 2
},
"channel_base": 65536,
"channel_max": 1024,
"magnitude_ema_beta": 0.9988915792636801,
"conv_kernel": 1,
"use_radial_filters": true
},
"D_kwargs": {
"class_name": "training.networks_stylegan2.Discriminator",
"block_kwargs": {
"freeze_layers": 0
},
"mapping_kwargs": {},
"epilogue_kwargs": {
"mbstd_group_size": 4
},
"channel_base": 32768,
"channel_max": 512
},
"G_opt_kwargs": {
"class_name": "torch.optim.Adam",
"betas": [
0,
0.99
],
"eps": 1e-08,
"lr": 0.0025
},
"D_opt_kwargs": {
"class_name": "torch.optim.Adam",
"betas": [
0,
0.99
],
"eps": 1e-08,
"lr": 0.002
},
"loss_kwargs": {
"class_name": "training.loss.StyleGAN2Loss",
"r1_gamma": 6.6,
"blur_init_sigma": 0,
"blur_fade_kimg": 200.0
},
"data_loader_kwargs": {
"pin_memory": true,
"prefetch_factor": 2,
"num_workers": 3
},
"training_set_kwargs": {
"class_name": "training.dataset.ImageFolderDataset",
"path": "/content/circles-1024x1024.zip",
"use_labels": false,
"max_size": 248,
"xflip": true,
"resolution": 1024,
"random_seed": 0
},
"num_gpus": 1,
"batch_size": 32,
"batch_gpu": 4,
"metrics": [],
"total_kimg": 1,
"kimg_per_tick": 4,
"image_snapshot_ticks": 5,
"network_snapshot_ticks": 5,
"random_seed": 0,
"ema_kimg": 10.0,
"augment_kwargs": {
"class_name": "training.augment.AugmentPipe",
"xflip": 1,
"rotate90": 1,
"xint": 1,
"scale": 1,
"rotate": 1,
"aniso": 1,
"xfrac": 1,
"brightness": 1,
"contrast": 1,
"lumaflip": 1,
"hue": 1,
"saturation": 1
},
"ada_target": 0.6,
"resume_pkl": "https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-r-ffhqu-1024x1024.pkl",
"ada_kimg": 100,
"ema_rampup": null,
"run_dir": "./results/00001-stylegan3-r-circles-1024x1024-gpus1-batch32-gamma6.6"
}
Output directory: ./results/00001-stylegan3-r-circles-1024x1024-gpus1-batch32-gamma6.6
Number of GPUs: 1
Batch size: 32 images
Training duration: 1 kimg
Dataset path: /content/circles-1024x1024.zip
Dataset size: 248 images
Dataset resolution: 1024
Dataset labels: False
Dataset x-flips: True
Creating output directory...
Launching processes...
Loading training set...
Num images: 496
Image shape: [3, 1024, 1024]
Label shape: [0]
Constructing networks...
Resuming from "https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-r-ffhqu-1024x1024.pkl"
Setting up PyTorch plugin "bias_act_plugin"... Done.
Setting up PyTorch plugin "filtered_lrelu_plugin"... Done.
Generator Parameters Buffers Output shape Datatype
--- --- --- --- ---
mapping.fc0 262656 - [4, 512] float32
mapping.fc1 262656 - [4, 512] float32
mapping - 512 [4, 16, 512] float32
synthesis.input.affine 2052 - [4, 4] float32
synthesis.input 1048576 3081 [4, 1024, 36, 36] float32
synthesis.L0_36_1024.affine 525312 - [4, 1024] float32
synthesis.L0_36_1024 1049600 157 [4, 1024, 36, 36] float32
synthesis.L1_36_1024.affine 525312 - [4, 1024] float32
synthesis.L1_36_1024 1049600 157 [4, 1024, 36, 36] float32
synthesis.L2_52_1024.affine 525312 - [4, 1024] float32
synthesis.L2_52_1024 1049600 169 [4, 1024, 52, 52] float32
synthesis.L3_52_1024.affine 525312 - [4, 1024] float32
synthesis.L3_52_1024 1049600 157 [4, 1024, 52, 52] float32
synthesis.L4_84_1024.affine 525312 - [4, 1024] float32
synthesis.L4_84_1024 1049600 169 [4, 1024, 84, 84] float32
synthesis.L5_148_1024.affine 525312 - [4, 1024] float32
synthesis.L5_148_1024 1049600 169 [4, 1024, 148, 148] float16
synthesis.L6_148_1024.affine 525312 - [4, 1024] float32
synthesis.L6_148_1024 1049600 157 [4, 1024, 148, 148] float16
synthesis.L7_276_645.affine 525312 - [4, 1024] float32
synthesis.L7_276_645 661125 169 [4, 645, 276, 276] float16
synthesis.L8_276_406.affine 330885 - [4, 645] float32
synthesis.L8_276_406 262276 157 [4, 406, 276, 276] float16
synthesis.L9_532_256.affine 208278 - [4, 406] float32
synthesis.L9_532_256 104192 169 [4, 256, 532, 532] float16
synthesis.L10_1044_161.affine 131328 - [4, 256] float32
synthesis.L10_1044_161 41377 169 [4, 161, 1044, 1044] float16
synthesis.L11_1044_102.affine 82593 - [4, 161] float32
synthesis.L11_1044_102 16524 157 [4, 102, 1044, 1044] float16
synthesis.L12_1044_64.affine 52326 - [4, 102] float32
synthesis.L12_1044_64 6592 25 [4, 64, 1044, 1044] float16
synthesis.L13_1024_64.affine 32832 - [4, 64] float32
synthesis.L13_1024_64 4160 25 [4, 64, 1024, 1024] float16
synthesis.L14_1024_3.affine 32832 - [4, 64] float32
synthesis.L14_1024_3 195 1 [4, 3, 1024, 1024] float16
synthesis - - [4, 3, 1024, 1024] float32
--- --- --- --- ---
Total 15093151 5600 - -
Setting up PyTorch plugin "upfirdn2d_plugin"... Done.
Discriminator Parameters Buffers Output shape Datatype
--- --- --- --- ---
b1024.fromrgb 128 16 [4, 32, 1024, 1024] float16
b1024.skip 2048 16 [4, 64, 512, 512] float16
b1024.conv0 9248 16 [4, 32, 1024, 1024] float16
b1024.conv1 18496 16 [4, 64, 512, 512] float16
b1024 - 16 [4, 64, 512, 512] float16
b512.skip 8192 16 [4, 128, 256, 256] float16
b512.conv0 36928 16 [4, 64, 512, 512] float16
b512.conv1 73856 16 [4, 128, 256, 256] float16
b512 - 16 [4, 128, 256, 256] float16
b256.skip 32768 16 [4, 256, 128, 128] float16
b256.conv0 147584 16 [4, 128, 256, 256] float16
b256.conv1 295168 16 [4, 256, 128, 128] float16
b256 - 16 [4, 256, 128, 128] float16
b128.skip 131072 16 [4, 512, 64, 64] float16
b128.conv0 590080 16 [4, 256, 128, 128] float16
b128.conv1 1180160 16 [4, 512, 64, 64] float16
b128 - 16 [4, 512, 64, 64] float16
b64.skip 262144 16 [4, 512, 32, 32] float32
b64.conv0 2359808 16 [4, 512, 64, 64] float32
b64.conv1 2359808 16 [4, 512, 32, 32] float32
b64 - 16 [4, 512, 32, 32] float32
b32.skip 262144 16 [4, 512, 16, 16] float32
b32.conv0 2359808 16 [4, 512, 32, 32] float32
b32.conv1 2359808 16 [4, 512, 16, 16] float32
b32 - 16 [4, 512, 16, 16] float32
b16.skip 262144 16 [4, 512, 8, 8] float32
b16.conv0 2359808 16 [4, 512, 16, 16] float32
b16.conv1 2359808 16 [4, 512, 8, 8] float32
b16 - 16 [4, 512, 8, 8] float32
b8.skip 262144 16 [4, 512, 4, 4] float32
b8.conv0 2359808 16 [4, 512, 8, 8] float32
b8.conv1 2359808 16 [4, 512, 4, 4] float32
b8 - 16 [4, 512, 4, 4] float32
b4.mbstd - - [4, 513, 4, 4] float32
b4.conv 2364416 16 [4, 512, 4, 4] float32
b4.fc 4194816 - [4, 512] float32
b4.out 513 - [4, 1] float32
--- --- --- --- ---
Total 29012513 544 - -
Setting up augmentation...
Distributing across 1 GPUs...
Setting up training phases...
Exporting sample images...
Initializing logs...
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/tensorboard/compat/__init__.py", line 42, in tf
from tensorboard.compat import notf # noqa: F401
ImportError: cannot import name 'notf' from 'tensorboard.compat' (/usr/local/lib/python3.7/dist-packages/tensorboard/compat/__init__.py)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "train.py", line 286, in <module>
main() # pylint: disable=no-value-for-parameter
File "/usr/local/lib/python3.7/dist-packages/click/core.py", line 829, in __call__
return self.main(*args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/click/core.py", line 782, in main
rv = self.invoke(ctx)
File "/usr/local/lib/python3.7/dist-packages/click/core.py", line 1066, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/usr/local/lib/python3.7/dist-packages/click/core.py", line 610, in invoke
return callback(*args, **kwargs)
File "train.py", line 281, in main
launch_training(c=c, desc=desc, outdir=opts.outdir, dry_run=opts.dry_run)
File "train.py", line 96, in launch_training
subprocess_fn(rank=0, c=c, temp_dir=temp_dir)
File "train.py", line 47, in subprocess_fn
training_loop.training_loop(rank=rank, **c)
File "/content/stylegan3/training/training_loop.py", line 238, in training_loop
stats_tfevents = tensorboard.SummaryWriter(run_dir)
File "/usr/local/lib/python3.7/dist-packages/torch/utils/tensorboard/writer.py", line 246, in __init__
self._get_file_writer()
File "/usr/local/lib/python3.7/dist-packages/torch/utils/tensorboard/writer.py", line 277, in _get_file_writer
self.log_dir, self.max_queue, self.flush_secs, self.filename_suffix
File "/usr/local/lib/python3.7/dist-packages/torch/utils/tensorboard/writer.py", line 76, in __init__
log_dir, max_queue, flush_secs, filename_suffix
File "/usr/local/lib/python3.7/dist-packages/tensorboard/summary/writer/event_file_writer.py", line 72, in __init__
tf.io.gfile.makedirs(logdir)
File "/usr/local/lib/python3.7/dist-packages/tensorboard/lazy.py", line 65, in __getattr__
return getattr(load_once(self), attr_name)
File "/usr/local/lib/python3.7/dist-packages/tensorboard/lazy.py", line 97, in wrapper
cache[arg] = f(arg)
File "/usr/local/lib/python3.7/dist-packages/tensorboard/lazy.py", line 50, in load_once
module = load_fn()
File "/usr/local/lib/python3.7/dist-packages/tensorboard/compat/__init__.py", line 45, in tf
import tensorflow
File "/usr/local/lib/python3.7/dist-packages/tensorflow/__init__.py", line 51, in <module>
from ._api.v2 import compat
File "/usr/local/lib/python3.7/dist-packages/tensorflow/_api/v2/compat/__init__.py", line 37, in <module>
from . import v1
File "/usr/local/lib/python3.7/dist-packages/tensorflow/_api/v2/compat/v1/__init__.py", line 30, in <module>
from . import compat
File "/usr/local/lib/python3.7/dist-packages/tensorflow/_api/v2/compat/v1/compat/__init__.py", line 37, in <module>
from . import v1
File "/usr/local/lib/python3.7/dist-packages/tensorflow/_api/v2/compat/v1/compat/v1/__init__.py", line 47, in <module>
from tensorflow._api.v2.compat.v1 import lite
File "/usr/local/lib/python3.7/dist-packages/tensorflow/_api/v2/compat/v1/lite/__init__.py", line 9, in <module>
from . import experimental
File "/usr/local/lib/python3.7/dist-packages/tensorflow/_api/v2/compat/v1/lite/experimental/__init__.py", line 8, in <module>
from . import authoring
File "/usr/local/lib/python3.7/dist-packages/tensorflow/_api/v2/compat/v1/lite/experimental/authoring/__init__.py", line 8, in <module>
from tensorflow.lite.python.authoring.authoring import compatible
File "/usr/local/lib/python3.7/dist-packages/tensorflow/lite/python/authoring/authoring.py", line 43, in <module>
from tensorflow.lite.python import convert
File "/usr/local/lib/python3.7/dist-packages/tensorflow/lite/python/convert.py", line 29, in <module>
from tensorflow.lite.python import util
File "/usr/local/lib/python3.7/dist-packages/tensorflow/lite/python/util.py", line 51, in <module>
from jax import xla_computation as _xla_computation
File "/usr/local/lib/python3.7/dist-packages/jax/__init__.py", line 59, in <module>
from .core import eval_context as ensure_compile_time_eval
File "/usr/local/lib/python3.7/dist-packages/jax/core.py", line 47, in <module>
import jax._src.pretty_printer as pp
File "/usr/local/lib/python3.7/dist-packages/jax/_src/pretty_printer.py", line 56, in <module>
CAN_USE_COLOR = _can_use_color()
File "/usr/local/lib/python3.7/dist-packages/jax/_src/pretty_printer.py", line 54, in _can_use_color
return sys.stdout.isatty()
AttributeError: 'Logger' object has no attribute 'isatty'Setting tensorflow to 1.x, torch to 1.9.1 and torchvision to 0.10.1 seems to get it running.
%tensorflow_version 1.x
!pip install --upgrade torch==1.9.1+cu111 torchvision==0.10.1+cu111 -f https://download.pytorch.org/whl/torch_stable.htmlIs there a better solution?
makeitrad
commented
2 years ago Try adding this:
!pip uninstall jax jaxlib -y
!pip install "jax[cuda11_cudnn805]==0.3.10" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
!pip install torch==1.10.1+cu111 torchvision==0.11.2+cu111 -f https://download.pytorch.org/whl/torch_stable.html
per this feed: https://github.com/googlecolab/colabtools/issues/2926#issuecomment-1185979137
MuzammilAhmad
commented
1 year ago Try adding this:
Uninstall new JAX !pip uninstall jax jaxlib -y #GPU frontend !pip install "jax[cuda11_cudnn805]==0.3.10" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html #CPU frontend #!pip install jax[cpu]==0.3.10 #Downgrade Pytorch !pip install torch==1.10.1+cu111 torchvision==0.11.2+cu111 -f https://download.pytorch.org/whl/torch_stable.html
per this feed: googlecolab/colabtools#2926 (comment)
Works for Me!!
Tanzman
commented
1 year ago Try adding this:
Works for Me!! thanks
Describe the bug Doesn't seem to run on Tensorflow 2.x
To Reproduce Run on Tensorflow 2.x