Functional pooling

torch_lattice.nn.functional.pooling.avg_pool3d(inputs, **kwargs)[source]
Return type:

SparseTensor

Parameters:

inputs (SparseTensor)

torch_lattice.nn.functional.pooling.global_avg_pool(inputs)[source]
Return type:

Tensor

Parameters:

inputs (SparseTensor)

torch_lattice.nn.functional.pooling.global_max_pool(inputs)[source]
Return type:

Tensor

Parameters:

inputs (SparseTensor)

torch_lattice.nn.functional.pooling.max_pool3d(inputs, **kwargs)[source]
Return type:

SparseTensor

Parameters:

inputs (SparseTensor)

torch_lattice.nn.functional.pooling.pool3d(inputs, *, mode, kernel_size=2, stride=2, padding=0, dilation=1)[source]

Local sparse 3D pooling over convolution-style neighborhoods.

Return type:

SparseTensor

Parameters:
torch_lattice.nn.functional.pooling.sum_pool3d(inputs, **kwargs)[source]
Return type:

SparseTensor

Parameters:

inputs (SparseTensor)