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LCOV - code coverage report
Current view: top level - libtorch/include/ATen/ops - max.h (source / functions) Coverage Total Hit
Test: coverage.info Lines: 100.0 % 2 2
Test Date: 2024-04-30 13:17:26 Functions: 100.0 % 1 1 

            Line data    Source code
       1              : #pragma once
       2              : 
       3              : // @generated by torchgen/gen.py from Function.h
       4              : 
       5              : #include <ATen/Context.h>
       6              : #include <ATen/DeviceGuard.h>
       7              : #include <ATen/TensorUtils.h>
       8              : #include <ATen/TracerMode.h>
       9              : #include <ATen/core/Generator.h>
      10              : #include <ATen/core/Reduction.h>
      11              : #include <ATen/core/Tensor.h>
      12              : #include <c10/core/Scalar.h>
      13              : #include <c10/core/Storage.h>
      14              : #include <c10/core/TensorOptions.h>
      15              : #include <c10/util/Deprecated.h>
      16              : #include <c10/util/Optional.h>
      17              : 
      18              : 
      19              : 
      20              : #include <ATen/ops/max_ops.h>
      21              : 
      22              : namespace at {
      23              : 
      24              : 
      25              : // aten::max.dim(Tensor self, int dim, bool keepdim=False) -> (Tensor values, Tensor indices)
      26              : inline ::std::tuple<at::Tensor,at::Tensor> max(const at::Tensor & self, int64_t dim, bool keepdim=false) {
      27              :     return at::_ops::max_dim::call(self, dim, keepdim);
      28              : }
      29              : 
      30              : // aten::max.dim_max(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) max, Tensor(b!) max_values) -> (Tensor(a!) values, Tensor(b!) indices)
      31              : inline ::std::tuple<at::Tensor &,at::Tensor &> max_out(at::Tensor & max, at::Tensor & max_values, const at::Tensor & self, int64_t dim, bool keepdim=false) {
      32              :     return at::_ops::max_dim_max::call(self, dim, keepdim, max, max_values);
      33              : }
      34              : // aten::max.dim_max(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) max, Tensor(b!) max_values) -> (Tensor(a!) values, Tensor(b!) indices)
      35              : inline ::std::tuple<at::Tensor &,at::Tensor &> max_outf(const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & max, at::Tensor & max_values) {
      36              :     return at::_ops::max_dim_max::call(self, dim, keepdim, max, max_values);
      37              : }
      38              : 
      39              : // aten::max.names_dim(Tensor self, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices)
      40              : inline ::std::tuple<at::Tensor,at::Tensor> max(const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
      41              :     return at::_ops::max_names_dim::call(self, dim, keepdim);
      42              : }
      43              : 
      44              : // aten::max.names_dim_max(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) max, Tensor(b!) max_values) -> (Tensor(a!) values, Tensor(b!) indices)
      45              : inline ::std::tuple<at::Tensor &,at::Tensor &> max_out(at::Tensor & max, at::Tensor & max_values, const at::Tensor & self, at::Dimname dim, bool keepdim=false) {
      46              :     return at::_ops::max_names_dim_max::call(self, dim, keepdim, max, max_values);
      47              : }
      48              : // aten::max.names_dim_max(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) max, Tensor(b!) max_values) -> (Tensor(a!) values, Tensor(b!) indices)
      49              : inline ::std::tuple<at::Tensor &,at::Tensor &> max_outf(const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & max, at::Tensor & max_values) {
      50              :     return at::_ops::max_names_dim_max::call(self, dim, keepdim, max, max_values);
      51              : }
      52              : 
      53              : // aten::max(Tensor self) -> Tensor
      54          116 : inline at::Tensor max(const at::Tensor & self) {
      55          116 :     return at::_ops::max::call(self);
      56              : }
      57              : 
      58              : // aten::max.other(Tensor self, Tensor other) -> Tensor
      59              : inline at::Tensor max(const at::Tensor & self, const at::Tensor & other) {
      60              :     return at::_ops::max_other::call(self, other);
      61              : }
      62              : 
      63              : // aten::max.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
      64              : inline at::Tensor & max_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
      65              :     return at::_ops::max_out::call(self, other, out);
      66              : }
      67              : // aten::max.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
      68              : inline at::Tensor & max_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
      69              :     return at::_ops::max_out::call(self, other, out);
      70              : }
      71              : 
      72              : // aten::max.unary_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
      73              : inline at::Tensor & max_out(at::Tensor & out, const at::Tensor & self) {
      74              :     return at::_ops::max_unary_out::call(self, out);
      75              : }
      76              : // aten::max.unary_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
      77              : inline at::Tensor & max_outf(const at::Tensor & self, at::Tensor & out) {
      78              :     return at::_ops::max_unary_out::call(self, out);
      79              : }
      80              : 
      81              : }

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