empty_strided.h 6.5 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113
  1. #pragma once
  2. // @generated by torchgen/gen.py from Function.h
  3. #include <ATen/Context.h>
  4. #include <ATen/DeviceGuard.h>
  5. #include <ATen/TensorUtils.h>
  6. #include <ATen/TracerMode.h>
  7. #include <ATen/core/Generator.h>
  8. #include <ATen/core/Reduction.h>
  9. #include <ATen/core/Tensor.h>
  10. #include <c10/core/Scalar.h>
  11. #include <c10/core/Storage.h>
  12. #include <c10/core/TensorOptions.h>
  13. #include <c10/util/Deprecated.h>
  14. #include <c10/util/Optional.h>
  15. #include <ATen/ops/empty_strided_ops.h>
  16. namespace at {
  17. // aten::empty_strided(SymInt[] size, SymInt[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
  18. inline at::Tensor empty_strided(at::IntArrayRef size, at::IntArrayRef stride, at::TensorOptions options={}) {
  19. return at::_ops::empty_strided::call(c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
  20. }
  21. namespace symint {
  22. template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
  23. at::Tensor empty_strided(at::IntArrayRef size, at::IntArrayRef stride, at::TensorOptions options={}) {
  24. return at::_ops::empty_strided::call(c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
  25. }
  26. }
  27. // aten::empty_strided(SymInt[] size, SymInt[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
  28. inline at::Tensor empty_strided(at::IntArrayRef size, at::IntArrayRef stride, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
  29. return at::_ops::empty_strided::call(c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), dtype, layout, device, pin_memory);
  30. }
  31. namespace symint {
  32. template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
  33. at::Tensor empty_strided(at::IntArrayRef size, at::IntArrayRef stride, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
  34. return at::_ops::empty_strided::call(c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), dtype, layout, device, pin_memory);
  35. }
  36. }
  37. // aten::empty_strided(SymInt[] size, SymInt[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
  38. inline at::Tensor empty_strided_symint(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, at::TensorOptions options={}) {
  39. return at::_ops::empty_strided::call(size, stride, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
  40. }
  41. namespace symint {
  42. template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
  43. at::Tensor empty_strided(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, at::TensorOptions options={}) {
  44. return at::_ops::empty_strided::call(size, stride, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
  45. }
  46. }
  47. // aten::empty_strided(SymInt[] size, SymInt[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
  48. inline at::Tensor empty_strided_symint(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
  49. return at::_ops::empty_strided::call(size, stride, dtype, layout, device, pin_memory);
  50. }
  51. namespace symint {
  52. template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
  53. at::Tensor empty_strided(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
  54. return at::_ops::empty_strided::call(size, stride, dtype, layout, device, pin_memory);
  55. }
  56. }
  57. // aten::empty_strided.out(SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!)
  58. inline at::Tensor & empty_strided_out(at::Tensor & out, at::IntArrayRef size, at::IntArrayRef stride) {
  59. return at::_ops::empty_strided_out::call(c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), out);
  60. }
  61. namespace symint {
  62. template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
  63. at::Tensor & empty_strided_out(at::Tensor & out, at::IntArrayRef size, at::IntArrayRef stride) {
  64. return at::_ops::empty_strided_out::call(c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), out);
  65. }
  66. }
  67. // aten::empty_strided.out(SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!)
  68. inline at::Tensor & empty_strided_outf(at::IntArrayRef size, at::IntArrayRef stride, at::Tensor & out) {
  69. return at::_ops::empty_strided_out::call(c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), out);
  70. }
  71. namespace symint {
  72. template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
  73. at::Tensor & empty_strided_outf(at::IntArrayRef size, at::IntArrayRef stride, at::Tensor & out) {
  74. return at::_ops::empty_strided_out::call(c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), out);
  75. }
  76. }
  77. // aten::empty_strided.out(SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!)
  78. inline at::Tensor & empty_strided_symint_out(at::Tensor & out, c10::SymIntArrayRef size, c10::SymIntArrayRef stride) {
  79. return at::_ops::empty_strided_out::call(size, stride, out);
  80. }
  81. namespace symint {
  82. template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
  83. at::Tensor & empty_strided_out(at::Tensor & out, c10::SymIntArrayRef size, c10::SymIntArrayRef stride) {
  84. return at::_ops::empty_strided_out::call(size, stride, out);
  85. }
  86. }
  87. // aten::empty_strided.out(SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!)
  88. inline at::Tensor & empty_strided_symint_outf(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, at::Tensor & out) {
  89. return at::_ops::empty_strided_out::call(size, stride, out);
  90. }
  91. namespace symint {
  92. template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
  93. at::Tensor & empty_strided_outf(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, at::Tensor & out) {
  94. return at::_ops::empty_strided_out::call(size, stride, out);
  95. }
  96. }
  97. }