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Hi. I am using your library using PyTorch 1.10. It works great! One of my colleagues updated to PyTorch 1.12, and the library still works but, it fills the console with logs that are related with geotorch.
Variable.execution_engine.run_backward( # Calls into the C++ engine to run the backward pass /pathtomyenvironment/python3.9/site-packages/geotorch/so.py:83: UserWarning: An output with one or more elements was resized since it had shape [114, 17, 17], which does not match the required output shape [1, 114, 17, 17]. This behaviour is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize(0). (Triggered internally at /opt/conda/conda-bld/pytorch_1659484775609/work/aten/src/ATen/native/Resize.cpp:24.)
I do not know if it is my fault, with this extra tensor dimension that it is complaining about, but the reality is that everything works and with PyTorch 1.10 no warning at all is shown.
The text was updated successfully, but these errors were encountered:
Hi. I am using your library using PyTorch 1.10. It works great! One of my colleagues updated to PyTorch 1.12, and the library still works but, it fills the console with logs that are related with geotorch.
Variable.execution_engine.run_backward( # Calls into the C++ engine to run the backward pass /pathtomyenvironment/python3.9/site-packages/geotorch/so.py:83: UserWarning: An output with one or more elements was resized since it had shape [114, 17, 17], which does not match the required output shape [1, 114, 17, 17]. This behaviour is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize(0). (Triggered internally at /opt/conda/conda-bld/pytorch_1659484775609/work/aten/src/ATen/native/Resize.cpp:24.)
I do not know if it is my fault, with this extra tensor dimension that it is complaining about, but the reality is that everything works and with PyTorch 1.10 no warning at all is shown.
The text was updated successfully, but these errors were encountered: