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This repository was archived by the owner on Mar 1, 2025. It is now read-only.
This repository was archived by the owner on Mar 1, 2025. It is now read-only.

rounding_mode does not exist .div of PyTorch 1.3 #250

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@shahriar0651

Tested with PyTorch 1.3, CUDA 10.0, and Python 3.3 with Conda.

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?

conda install pytorch torchvision cudatoolkit=10.0 -c pytorch # See https://pytorch.org/get-started/locally/

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