torch.kron(torch.randn(4, 4), torch.randn(4, 4).T)
RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.
Environment
PyTorch version: 1.8.0+cpu
Is debug build: False
CUDA used to build PyTorch: Could not collect
ROCM used to build PyTorch: N/A
OS: Debian GNU/Linux 10 (buster) (x86_64)
GCC version: (Debian 8.3.0-6) 8.3.0
Clang version: Could not collect
CMake version: version 3.13.4
Python version: 3.8 (64-bit runtime)
Is CUDA available: False
CUDA runtime version: 9.2.148
GPU models and configuration: Could not collect
Nvidia driver version: Could not collect
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Versions of relevant libraries:
[pip3] numpy==1.20.1
[pip3] numpydoc==1.1.0
[pip3] torch==1.8.0+cpu
[pip3] torch-cluster==1.5.9
[pip3] torch-geometric==1.6.3
[pip3] torch-scatter==2.0.6
[pip3] torch-sparse==0.6.9
[pip3] torch-spline-conv==1.2.1
[conda] blas 1.0 mkl
[conda] mkl 2020.2 256
[conda] mkl-service 2.3.0 py38he904b0f_0
[conda] mkl_fft 1.2.0 py38h23d657b_0
[conda] mkl_random 1.1.1 py38h0573a6f_0
[conda] numpy 1.20.1 pypi_0 pypi
[conda] numpydoc 1.1.0 pyhd3eb1b0_1
[conda] torch 1.8.0+cpu pypi_0 pypi
[conda] torch-cluster 1.5.9 pypi_0 pypi
[conda] torch-geometric 1.6.3 pypi_0 pypi
[conda] torch-scatter 2.0.6 pypi_0 pypi
[conda] torch-sparse 0.6.9 pypi_0 pypi
[conda] torch-spline-conv 1.2.1 pypi_0 pypi
triaged
This issue has been looked at a team member, and triaged and prioritized into an appropriate module
labels
Mar 18, 2021
function request
A request for a new function or the addition of new arguments/modes to an existing function.
module: error checking
Bugs related to incorrect/lacking error checking
triaged
This issue has been looked at a team member, and triaged and prioritized into an appropriate module
