> Tested with PyTorch 1.3, CUDA 10.0, and Python 3.3 with [Conda](https://www.anaconda.com/). ```python3 class MaxPooling(Module): ..... def forward(self, input): output = SparseConvNetTensor() output.metadata = input.metadata output.spatial_size = ( input.spatial_size - self.pool_size).div(self.pool_stride, rounding_mode='trunc') + 1 assert ((output.spatial_size - 1) * self.pool_stride + self.pool_size == input.spatial_size).all() ``` But `rounding_mode` does not exist in PyTorch 1.3. Could you please update the following package requirements? ```bash conda install pytorch torchvision cudatoolkit=10.0 -c pytorch # See https://pytorch.org/get-started/locally/ ```
But
rounding_modedoes not exist in PyTorch 1.3. Could you please update the following package requirements?conda install pytorch torchvision cudatoolkit=10.0 -c pytorch # See https://pytorch.org/get-started/locally/