Can't Run Warping Inference

> sh test_VITON.sh
------------ Options -------------
batchSize: 32
data_type: 32
dataroot: /home/ec2-user/repos/VITON-HD
display_winsize: 512
fineSize: 512
gen_checkpoint: checkpoints/PFAFN/gen_model_final.pth
gpu_ids: [0]
input_nc: 3
isTrain: False
label_nc: 13
loadSize: 512
max_dataset_size: inf
nThreads: 1
name: cloth-warp
no_flip: False
norm: instance
output_nc: 3
phase: test
resize_or_crop: none
serial_batches: False
tf_log: False
unpaired: True
use_dropout: False
verbose: False
warp_checkpoint: checkpoints/warp_viton.pth
-------------- End ----------------
#training images = 64
/home/ec2-user/.conda/envs/dci-vton/lib/python3.8/site-packages/torchvision/transforms/transforms.py:332: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.
  warnings.warn(
/home/ec2-user/.conda/envs/dci-vton/lib/python3.8/site-packages/cupy/cuda/compiler.py:464: UserWarning: cupy.cuda.compile_with_cache has been deprecated in CuPy v10, and will be removed in the future. Use cupy.RawModule or cupy.RawKernel instead.
  warnings.warn(
/home/ec2-user/.conda/envs/dci-vton/lib/python3.8/site-packages/torch/functional.py:568: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at  /opt/conda/conda-bld/pytorch_1646755903507/work/aten/src/ATen/native/TensorShape.cpp:2228.)
  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
/home/ec2-user/.conda/envs/dci-vton/lib/python3.8/site-packages/torch/nn/functional.py:4193: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
  warnings.warn(
/home/ec2-user/repos/PF-AFN/PF-AFN_test/data/cp_dataset.py:67: RuntimeWarning: invalid value encountered in divide
  pose_data[9] = point + (pose_data[9] - point) / length_b * length_a
/home/ec2-user/repos/PF-AFN/PF-AFN_test/data/cp_dataset.py:68: RuntimeWarning: invalid value encountered in divide
  pose_data[12] = point + (pose_data[12] - point) / length_b * length_a
Script just breaks after writing all these warnings. I have no clue how the code should be updated to solve these warnings...
bcmi / DCI-VTON-Virtual-Try-On

Can't Run Warping Inference #45
