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abs acos acosh AdaptivePool1dShape AdaptivePool2dShape add addbmm AddbmmOptions addcdiv AddcdivOptions addcmul AddcmulOptions addmm AddmmOptions addmv AddmvOptions addr AddrOptions adjoint all allclose AllcloseOptions AlphaBetaOptions amax amin aminmax AminmaxOptions angle any applyOut arange are_deterministic_algorithms_enabled argmax argmin argsort argwhere as_strided as_tensor asin asinh AssertNoShapeError AssertNotError AsStridedOptions At at_error_index_out_of_bounds atan atan2 atanh atleast_1d atleast_2d atleast_3d AtShape autocast_decrement_nesting autocast_increment_nesting autograd_gradient_mismatch_error autograd_not_registered_error AutogradConfig AutogradDevice AutogradDType AutogradEntry AutogradHandle AutogradHandleImpl AxesRecord BackwardFn baddbmm BaddbmmOptions bartlett_window BaseKernelConfig batch_dimensions_do_not_match_error bernoulli BernoulliOptions BinaryBackwardFn BinaryBroadcastResult BinaryDType BinaryKernelConfigCPU BinaryKernelCPU BinaryOpConfig 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fractional_max_pool3d_with_indices

torch.nn.functional.fractional_max_pool3d_with_indices

function fractional_max_pool3d_with_indices(input: Tensor, kernel_size: number | [number, number, number], options?: FractionalMaxPoolFunctionalOptions): PoolWithIndicesResult

Apply 3D fractional max pooling and return both output and indices. Convenience function that always returns indices.

Parameters

inputTensor: Input tensor of shape (N, C, D, H, W)
kernel_sizenumber | [number, number, number]: Size of the pooling region
optionsFractionalMaxPoolFunctionalOptionsoptional

Returns

PoolWithIndicesResult– Tuple of [output tensor, indices tensor]

See Also

PyTorch torch.nn.functional.fractional_max_pool3d_with_indices

fractional_max_pool3d

FractionalMaxPoolFunctionalOptions