ppgan/metric/metric_util.py:69:11: F821 undefined name '_convert_input_type_range'
    img = _convert_input_type_range(img)
          ^
ppgan/metric/metric_util.py:76:15: F821 undefined name '_convert_output_type_range'
    out_img = _convert_output_type_range(out_img, img_type)
              ^
2     F821 undefined name '_convert_input_type_range'

!python tools/main.py --config-file configs/wgan_mnist.yaml --evaluate-only --load output_dir/GANModel-2020-12-15-15-54/epoch_20_weight.pdparams

Traceback (most recent call last):
  File "applications/tools/first-order-demo.py", line 18, in <module>
    from ppgan.apps.first_order_predictor import FirstOrderPredictor
  File "/home/aistudio/PaddleGAN/ppgan/apps/__init__.py", line 2, in <module>
    from .deepremaster_predictor import DeepRemasterPredictor
  File "/home/aistudio/PaddleGAN/ppgan/apps/deepremaster_predictor.py", line 24, in <module>
    from ppgan.models.generators.remaster import NetworkR, NetworkC
  File "/home/aistudio/PaddleGAN/ppgan/models/__init__.py", line 20, in <module>
    from .makeup_model import MakeupModel
  File "/home/aistudio/PaddleGAN/ppgan/models/makeup_model.py", line 30, in <module>
    from ..datasets.makeup_dataset import MakeupDataset
  File "/home/aistudio/PaddleGAN/ppgan/datasets/__init__.py", line 15, in <module>
    from .unpaired_dataset import UnpairedDataset
  File "/home/aistudio/PaddleGAN/ppgan/datasets/unpaired_dataset.py", line 4, in <module>
    from .base_dataset import BaseDataset, get_transform
  File "/home/aistudio/PaddleGAN/ppgan/datasets/base_dataset.py", line 10, in <module>
    from .transforms import transforms as T
  File "/home/aistudio/PaddleGAN/ppgan/datasets/transforms/__init__.py", line 1, in <module>
    from .transforms import PairedRandomCrop, PairedRandomHorizontalFlip
  File "/home/aistudio/PaddleGAN/ppgan/datasets/transforms/transforms.py", line 23, in <module>
    TRANSFORMS.register(T.Transpose)
AttributeError: module 'paddle.vision.transforms' has no attribute 'Transpose'

Model EDVR proccess start..
[03/25 11:23:58] ppgan INFO: Found /home/aistudio/.cache/ppgan/edvr_infer_model.tar
[03/25 11:23:58] ppgan INFO: Decompressing /home/aistudio/.cache/ppgan/edvr_infer_model.tar...
2021-03-25 11:23:58,229-WARNING: The old way to load inference model is deprecated. model path: /home/aistudio/.cache/ppgan/edvr_infer_model/EDVR_model.pdmodel, params path: /home/aistudio/.cache/ppgan/edvr_infer_model/EDVR_params.pdparams
  0%|                                                  | 0/1427 [00:00<?, ?it/s]
Traceback (most recent call last):
  File "tools/video-enhance.py", line 114, in <module>
    frames_path, temp_video_path = predictor.run(temp_video_path)
  File "/home/aistudio/PaddleGAN/PaddleGAN/ppgan/apps/edvr_predictor.py", line 173, in run
    outs = self.base_forward(np.array(data_feed_in))
  File "/home/aistudio/PaddleGAN/PaddleGAN/ppgan/apps/base_predictor.py", line 61, in base_forward
    feed=feed_dict)
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py", line 1110, in run
    six.reraise(*sys.exc_info())
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/six.py", line 703, in reraise
    raise value
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py", line 1108, in run
    return_merged=return_merged)
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py", line 1238, in _run_impl
    use_program_cache=use_program_cache)
  File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/executor.py", line 1328, in _run_program
    [fetch_var_name])
ValueError: In user code:

    File "/root/miniconda3/envs/py37_paddle1.8/lib/python3.7/site-packages/paddle/fluid/framework.py", line 2610, in append_op
    attrs=kwargs.get("attrs", None))

    File "/root/miniconda3/envs/py37_paddle1.8/lib/python3.7/site-packages/paddle/fluid/layer_helper.py", line 43, in append_op
    return self.main_program.current_block().append_op(*args, **kwargs)

    File "/root/miniconda3/envs/py37_paddle1.8/lib/python3.7/site-packages/paddle/fluid/layers/nn.py", line 7445, in reshape
    "XShape": x_shape})

    File "/workspace/PaddleGAN/applications/EDVR/models/edvr/edvr_model.py", line 361, in EDVRArch
    L3_fea = fluid.layers.reshape(L3_fea, [-1, N, nf, shape[3]//4, shape[4]//4])

    File "/workspace/PaddleGAN/applications/EDVR/models/edvr/edvr_model.py", line 436, in net
    TSA_only = self.TSA_only)

    File "/workspace/PaddleGAN/applications/EDVR/models/edvr/edvr.py", line 104, in build_model
    out = videomodel.net(self.feature_input[0])

    File "inference_model.py", line 84, in save_inference_model
    infer_model.build_model()

    File "inference_model.py", line 123, in <module>
    save_inference_model(args)


    InvalidArgumentError: The 'shape' attribute in ReshapeOp is invalid. The input tensor X'size must be divisible by known capacity of 'shape'. But received X's shape = [5, 128, 103, 135], X's size = 8899200, 'shape' is [-1, 5, 128, 102, 135], known capacity of 'shape' is -8812800.
      [Hint: Expected output_shape[unk_dim_idx] * capacity == -in_size, but received output_shape[unk_dim_idx] * capacity:-8812800 != -in_size:-8899200.] (at /paddle/paddle/fluid/operators/reshape_op.cc:208)
      [operator < reshape2 > error]

Collecting imageio-ffmpeg
  Downloading http://pypi.doubanio.com/packages/44/51/8a16c76b2a19ac2af82001985c80d3caca4c373528855cb27e12b39373fb/imageio-ffmpeg-0.3.0.tar.gz (13 kB)
ERROR: Package 'imageio-ffmpeg' requires a different Python: 2.7.12 not in '>=3.4'

>>> deoldify = DeOldifyPredictor()
W1027 06:42:46.683764 70588 device_context.cc:338] Please NOTE: device: 0, CUDA Capability: 70, Driver API Version: 10.1, Runtime API Version: 9.0
W1027 06:42:46.730727 70588 device_context.cc:346] device: 0, cuDNN Version: 7.5.
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 853496/853496 [01:39<00:00, 8609.03it/s]
>>>

100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1759/1759 [00:59<00:00, 29.40it/s]
/root/miniconda3/lib/python3.7/site-packages/scikit_image-0.15.0-py3.7-linux-x86_64.egg/skimage/util/dtype.py:135: UserWarning: Possible precision loss when converting from float32 to uint8
  .format(dtypeobj_in, dtypeobj_out))
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/paddle/work/github/PaddleGAN/ppgan/apps/first_order_predictor.py", line 142, in run
    fps=fps)
  File "/root/miniconda3/lib/python3.7/site-packages/imageio-2.5.0-py3.7.egg/imageio/core/functions.py", line 336, in mimwrite
    writer = get_writer(uri, format, "I", **kwargs)
  File "/root/miniconda3/lib/python3.7/site-packages/imageio-2.5.0-py3.7.egg/imageio/core/functions.py", line 174, in get_writer
    request = Request(uri, "w" + mode, **kwargs)
  File "/root/miniconda3/lib/python3.7/site-packages/imageio-2.5.0-py3.7.egg/imageio/core/request.py", line 126, in __init__
    self._parse_uri(uri)
  File "/root/miniconda3/lib/python3.7/site-packages/imageio-2.5.0-py3.7.egg/imageio/core/request.py", line 283, in _parse_uri
    raise FileNotFoundError("The directory %r does not exist" % dn)
FileNotFoundError: The directory '/paddle/work/github/PaddleGAN/test/output' does not exist

--------------------------------------
C++ Traceback (most recent call last):
--------------------------------------
0   paddle::imperative::Tracer::TraceOp(std::string const&, paddle::imperative::NameVarBaseMap const&, paddle::imperative::NameVarBaseMap const&, paddle::framework::AttributeMap, std::map<std::string, std::string, std::less<std::string >, std::allocator<std::pair<std::string const, std::string > > > const&)
1   paddle::imperative::Tracer::TraceOp(std::string const&, paddle::imperative::NameVarBaseMap const&, paddle::imperative::NameVarBaseMap const&, paddle::framework::AttributeMap, paddle::platform::Place const&, bool, std::map<std::string, std::string, std::less<std::string >, std::allocator<std::pair<std::string const, std::string > > > const&)
2   paddle::imperative::PreparedOp::Run(paddle::imperative::NameVarBaseMap const&, paddle::imperative::NameVarBaseMap const&, paddle::framework::AttributeMap const&)
3   std::_Function_handler<void (paddle::framework::ExecutionContext const&), paddle::framework::OpKernelRegistrarFunctor<paddle::platform::CPUPlace, false, 0ul, paddle::operators::GemmConvKernel<paddle::platform::CPUDeviceContext, float>, paddle::operators::GemmConvKernel<paddle::platform::CPUDeviceContext, double> >::operator()(char const*, char const*, int) const::{lambda(paddle::framework::ExecutionContext const&)#1}>::_M_invoke(std::_Any_data const&, paddle::framework::ExecutionContext const&)
4   paddle::operators::GemmConvKernel<paddle::platform::CPUDeviceContext, float>::Compute(paddle::framework::ExecutionContext const&) const
5   paddle::operators::math::Im2ColFunctor<(paddle::operators::math::ColFormat)0, paddle::platform::CPUDeviceContext, float>::operator()(paddle::platform::CPUDeviceContext const&, paddle::framework::Tensor const&, std::vector<int, std::allocator<int> > const&, std::vector<int, std::allocator<int> > const&, std::vector<int, std::allocator<int> > const&, paddle::framework::Tensor*, paddle::framework::DataLayout)
6   paddle::framework::SignalHandle(char const*, int)
7   paddle::platform::GetCurrentTraceBackString[abi:cxx11]()

----------------------
Error Message Summary:
----------------------
FatalError: `Segmentation fault` is detected by the operating system.
  [TimeInfo: *** Aborted at 1615879561 (unix time) try "date -d @1615879561" if you are using GNU date ***]
  [SignalInfo: *** SIGSEGV (@0x7f56573e42c0) received by PID 11689 (TID 0x7f60fec05740) from PID 1463698112 ***]

Segmentation fault (core dumped)

python tools/wav2lip.py --face ..\data\test.png --audio output\audio.m4a --outfile output\output.mp4

Traceback (most recent call last):
  File "tools/wav2lip.py", line 107, in <module>
    predictor.run()
  File "paddlegan\ppgan\apps\wav2lip_predictor.py", line 206, in run
    mel_idx_multiplier = 80. / fps
ZeroDivisionError: float division by zero