#if !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION) #pragma once // @generated by torchgen/gen.py from Function.h #include #include #include #include #include #include #include #include #include #include #include #include #include #include namespace at { // aten::histogramdd(Tensor self, int[] bins, float[]? range=None, Tensor? weight=None, bool density=False) -> (Tensor hist, Tensor[] bin_edges) inline ::std::tuple> histogramdd(const at::Tensor & self, at::IntArrayRef bins, ::std::optional> range=::std::nullopt, const ::std::optional & weight={}, bool density=false) { return at::_ops::histogramdd::call(self, bins, range, weight, density); } // aten::histogramdd.int_bins(Tensor self, int bins, float[]? range=None, Tensor? weight=None, bool density=False) -> (Tensor hist, Tensor[] bin_edges) inline ::std::tuple> histogramdd(const at::Tensor & self, int64_t bins, ::std::optional> range=::std::nullopt, const ::std::optional & weight={}, bool density=false) { return at::_ops::histogramdd_int_bins::call(self, bins, range, weight, density); } // aten::histogramdd.TensorList_bins(Tensor self, Tensor[] bins, float[]? range=None, Tensor? weight=None, bool density=False) -> (Tensor hist, Tensor[] bin_edges) inline ::std::tuple> histogramdd(const at::Tensor & self, at::TensorList bins, ::std::optional> range=::std::nullopt, const ::std::optional & weight={}, bool density=false) { return at::_ops::histogramdd_TensorList_bins::call(self, bins, range, weight, density); } } #else #error "This file should not be included when either TORCH_STABLE_ONLY or TORCH_TARGET_VERSION is defined." #endif // !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION)