92 lines
5.0 KiB
C++
92 lines
5.0 KiB
C++
#pragma once
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// @generated by torchgen/gen.py from Function.h
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#include <ATen/Context.h>
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#include <ATen/DeviceGuard.h>
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#include <ATen/TensorUtils.h>
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#include <ATen/TracerMode.h>
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#include <ATen/core/Generator.h>
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#include <ATen/core/Reduction.h>
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#include <ATen/core/Tensor.h>
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#include <c10/core/Scalar.h>
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#include <c10/core/Storage.h>
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#include <c10/core/TensorOptions.h>
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#include <c10/util/Deprecated.h>
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#include <c10/util/Optional.h>
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#include <ATen/ops/topk_ops.h>
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namespace at {
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// aten::topk.values(Tensor self, SymInt k, int dim=-1, bool largest=True, bool sorted=True, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
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inline ::std::tuple<at::Tensor &,at::Tensor &> topk_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t k, int64_t dim=-1, bool largest=true, bool sorted=true) {
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return at::_ops::topk_values::call(self, k, dim, largest, sorted, values, indices);
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}
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namespace symint {
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template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
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::std::tuple<at::Tensor &,at::Tensor &> topk_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t k, int64_t dim=-1, bool largest=true, bool sorted=true) {
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return at::_ops::topk_values::call(self, k, dim, largest, sorted, values, indices);
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}
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}
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// aten::topk.values(Tensor self, SymInt k, int dim=-1, bool largest=True, bool sorted=True, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
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inline ::std::tuple<at::Tensor &,at::Tensor &> topk_outf(const at::Tensor & self, int64_t k, int64_t dim, bool largest, bool sorted, at::Tensor & values, at::Tensor & indices) {
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return at::_ops::topk_values::call(self, k, dim, largest, sorted, values, indices);
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}
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namespace symint {
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template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
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::std::tuple<at::Tensor &,at::Tensor &> topk_outf(const at::Tensor & self, int64_t k, int64_t dim, bool largest, bool sorted, at::Tensor & values, at::Tensor & indices) {
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return at::_ops::topk_values::call(self, k, dim, largest, sorted, values, indices);
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}
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}
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// aten::topk.values(Tensor self, SymInt k, int dim=-1, bool largest=True, bool sorted=True, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
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inline ::std::tuple<at::Tensor &,at::Tensor &> topk_symint_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, c10::SymInt k, int64_t dim=-1, bool largest=true, bool sorted=true) {
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return at::_ops::topk_values::call(self, k, dim, largest, sorted, values, indices);
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}
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namespace symint {
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template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
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::std::tuple<at::Tensor &,at::Tensor &> topk_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, c10::SymInt k, int64_t dim=-1, bool largest=true, bool sorted=true) {
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return at::_ops::topk_values::call(self, k, dim, largest, sorted, values, indices);
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}
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}
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// aten::topk.values(Tensor self, SymInt k, int dim=-1, bool largest=True, bool sorted=True, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
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inline ::std::tuple<at::Tensor &,at::Tensor &> topk_symint_outf(const at::Tensor & self, c10::SymInt k, int64_t dim, bool largest, bool sorted, at::Tensor & values, at::Tensor & indices) {
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return at::_ops::topk_values::call(self, k, dim, largest, sorted, values, indices);
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}
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namespace symint {
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template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
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::std::tuple<at::Tensor &,at::Tensor &> topk_outf(const at::Tensor & self, c10::SymInt k, int64_t dim, bool largest, bool sorted, at::Tensor & values, at::Tensor & indices) {
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return at::_ops::topk_values::call(self, k, dim, largest, sorted, values, indices);
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}
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}
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// aten::topk(Tensor self, SymInt k, int dim=-1, bool largest=True, bool sorted=True) -> (Tensor values, Tensor indices)
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inline ::std::tuple<at::Tensor,at::Tensor> topk(const at::Tensor & self, int64_t k, int64_t dim=-1, bool largest=true, bool sorted=true) {
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return at::_ops::topk::call(self, k, dim, largest, sorted);
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}
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namespace symint {
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template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
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::std::tuple<at::Tensor,at::Tensor> topk(const at::Tensor & self, int64_t k, int64_t dim=-1, bool largest=true, bool sorted=true) {
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return at::_ops::topk::call(self, k, dim, largest, sorted);
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}
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}
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// aten::topk(Tensor self, SymInt k, int dim=-1, bool largest=True, bool sorted=True) -> (Tensor values, Tensor indices)
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inline ::std::tuple<at::Tensor,at::Tensor> topk_symint(const at::Tensor & self, c10::SymInt k, int64_t dim=-1, bool largest=true, bool sorted=true) {
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return at::_ops::topk::call(self, k, dim, largest, sorted);
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}
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namespace symint {
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template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
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::std::tuple<at::Tensor,at::Tensor> topk(const at::Tensor & self, c10::SymInt k, int64_t dim=-1, bool largest=true, bool sorted=true) {
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return at::_ops::topk::call(self, k, dim, largest, sorted);
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}
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}
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}
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