/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?