#pragma once // @generated by torchgen/gen.py from Function.h #include #include #include #include #include #include #include #include #include #include #include #include #include namespace at { // aten::_histogramdd_bin_edges(Tensor self, int[] bins, *, float[]? range=None, Tensor? weight=None, bool density=False) -> Tensor[] inline ::std::vector _histogramdd_bin_edges(const at::Tensor & self, at::IntArrayRef bins, c10::optional> range=c10::nullopt, const c10::optional & weight={}, bool density=false) { return at::_ops::_histogramdd_bin_edges::call(self, bins, range, weight, density); } // aten::_histogramdd_bin_edges.out(Tensor self, int[] bins, *, float[]? range=None, Tensor? weight=None, bool density=False, Tensor(a!)[] out) -> () inline void _histogramdd_bin_edges_out(at::TensorList out, const at::Tensor & self, at::IntArrayRef bins, c10::optional> range=c10::nullopt, const c10::optional & weight={}, bool density=false) { return at::_ops::_histogramdd_bin_edges_out::call(self, bins, range, weight, density, out); } // aten::_histogramdd_bin_edges.out(Tensor self, int[] bins, *, float[]? range=None, Tensor? weight=None, bool density=False, Tensor(a!)[] out) -> () inline void _histogramdd_bin_edges_outf(const at::Tensor & self, at::IntArrayRef bins, c10::optional> range, const c10::optional & weight, bool density, at::TensorList out) { return at::_ops::_histogramdd_bin_edges_out::call(self, bins, range, weight, density, out); } }