RuntimeError: Subtraction, the `-` operator, with a bool tensor is not supported. If you are trying to invert a mask, use the `~` or `logical_not()` operator instead.

Trying to run the demo using

python demo.py --gpu 0 --stage param --test_epoch 8

Getting the following error

/home/deeplearning/miniconda3/envs/i2l/bin/python /home/deeplearning/0Dev/repos/I2L-MeshNet_RELEASE/demo/demo.py --gpu 0 --stage param --test_epoch 8
>>> Using GPU: 0
/home/deeplearning/0Dev/repos/I2L-MeshNet_RELEASE/main/../common/utils/smplpytorch/smplpytorch/pytorch/smpl_layer.py:41: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at  /opt/conda/conda-bld/pytorch_1595629395347/work/torch/csrc/utils/tensor_numpy.cpp:141.)
  torch.Tensor(smpl_data['betas'].r).unsqueeze(0))
Load checkpoint from /home/deeplearning/0Dev/repos/I2L-MeshNet_RELEASE/output/model_dump/h36_smpl/snapshot_8.pth.tar
Traceback (most recent call last):
  File "/home/deeplearning/0Dev/repos/I2L-MeshNet_RELEASE/demo/demo.py", line 96, in <module>
    out = model(inputs, targets, meta_info, 'test')
  File "/home/deeplearning/miniconda3/envs/i2l/lib/python3.8/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/home/deeplearning/miniconda3/envs/i2l/lib/python3.8/site-packages/torch/nn/parallel/data_parallel.py", line 153, in forward
    return self.module(*inputs[0], **kwargs[0])
  File "/home/deeplearning/miniconda3/envs/i2l/lib/python3.8/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
    result = self.forward(*input, **kwargs)
  File "../main/model.py", line 76, in forward
    pose_param, shape_param = self.param_regressor(joint_img_from_mesh.detach())
  File "/home/deeplearning/miniconda3/envs/i2l/lib/python3.8/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/home/deeplearning/0Dev/repos/I2L-MeshNet_RELEASE/main/../common/nets/module.py", line 124, in forward
    pose = tgm.rotation_matrix_to_angle_axis(pose).reshape(-1,72)
  File "/home/deeplearning/miniconda3/envs/i2l/lib/python3.8/site-packages/torchgeometry/core/conversions.py", line 233, in rotation_matrix_to_angle_axis
    quaternion = rotation_matrix_to_quaternion(rotation_matrix)
  File "/home/deeplearning/miniconda3/envs/i2l/lib/python3.8/site-packages/torchgeometry/core/conversions.py", line 302, in rotation_matrix_to_quaternion
    mask_c1 = mask_d2 * (1 - mask_d0_d1)
  File "/home/deeplearning/miniconda3/envs/i2l/lib/python3.8/site-packages/torch/tensor.py", line 396, in __rsub__
    return _C._VariableFunctions.rsub(self, other)
RuntimeError: Subtraction, the `-` operator, with a bool tensor is not supported. If you are trying to invert a mask, use the `~` or `logical_not()` operator instead.

Process finished with exit code 1

I thought maybe it had something to do with the models not having write permission, but I made sure to change that and still encounter this. Anyone else seen this?

[Anirudh257]

@pablovela5620 This issue occurs due to torch version 1.2 or higher. On downgrading to torch==1.1, this issue gets resolved for me.

[mks0601]

Ah… this is because of torchgeometry do not update their kernel code according to the updated pytorch kernel code. I’ll add some hacks that I tried in README. Basically, you need to change L301~L304 of anaconda3/lib/python3.8/site-packages/torchgeometry/core/conversion.py to below.

mask_c0 = mask_d2.float() * mask_d0_d1.float()
mask_c1 = mask_d2.float() * (1 - mask_d0_d1.float())
mask_c2 = (1 - mask_d2.float()) * mask_d0_nd1.float()
mask_c3 = (1 - mask_d2.float()) * (1 - mask_d0_nd1.float())

It just changes binary masks to floating masks.