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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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istft ISTFTOptions IsUnaryOp IsUnaryOpName item_error_not_scalar ItemResult kaiser_window KaiserWindowOptions kernel_not_registered_error kernel_signature_mismatch_error KernelConfig KernelConfigWebGPU KernelEntry KernelHandle KernelInfo KernelPredicate KernelRegistry KernelWebGPU kron kthvalue KthvalueOptions lcm ldexp le leaky_relu leaky_relu_LeakyReluFunctionalOptions lerp levenshteinDistance lgamma linalg_error_not_square_matrix linalg_error_requires_2d linalg_error_requires_at_least_2d linear linspace list_custom_devices list_custom_dtypes list_devices list_dtypes list_functions list_kernels list_methods list_ops listCustomDTypes listDTypes listFunctions listKernels ListKernelsOptions listMethods listOps ListOpsOptions log log_softmax log10 log1p log2 logaddexp logaddexp2 logcumsumexp logical_and logical_not logical_or logical_xor LogitOptions LogNormalOptions LogOptions logsigmoid logspace logsumexp LogsumexpOptions lt LUShape LuSolveOptions masked_fill masked_select 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adaptive_max_pool1d_with_indices

torch.nn.functional.adaptive_max_pool1d_with_indices

function adaptive_max_pool1d_with_indices(input: Tensor, output_size: number | [number]): PoolWithIndicesResult

Applies 1D adaptive max pooling and returns both output and indices.

Note: This function computes indices by finding the argmax positions.

Parameters

inputTensor: Input tensor of shape (N, C, L)
output_sizenumber | [number]: Target output size L_out

Returns

PoolWithIndicesResult– Tuple of (output, indices) tensors

See Also

PyTorch torch.nn.functional.adaptive_max_pool1d_with_indices

adaptive_max_pool1d

adaptive_max_pool2d