xref: /aosp_15_r20/external/pytorch/aten/src/ATen/core/interned_strings.h (revision da0073e96a02ea20f0ac840b70461e3646d07c45)
1 #pragma once
2 
3 #include <c10/macros/Macros.h>
4 
5 #include <ATen/core/aten_interned_strings.h>
6 #include <ATen/core/symbol.h>
7 
8 namespace c10 {
9 
10 #define FORALL_NS_SYMBOLS(_)         \
11   _(namespaces, prim)                \
12   _(namespaces, prims)               \
13   _(namespaces, nvprims)             \
14   _(namespaces, aten)                \
15   _(namespaces, cuda)                \
16   _(namespaces, onnx)                \
17   _(namespaces, attr)                \
18   _(namespaces, scope)               \
19   _(namespaces, user)                \
20   _(namespaces, _caffe2)             \
21   _(namespaces, dimname)             \
22   _(namespaces, namespaces)          \
23   _(prim, Assign)                    \
24   _(prim, BroadcastingChunk)         \
25   _(prim, BroadcastSizes)            \
26   _(prim, ReductionSizes)            \
27   _(prim, Constant)                  \
28   _(prim, ChunkSizes)                \
29   _(prim, ConstantMKLDNNTensor)      \
30   _(prim, BroadcastMKLDNNTensors)    \
31   _(prim, MKLDNNGroup)               \
32   _(prim, MKLDNNHardSwish)           \
33   _(prim, MKLDNNHardSigmoid)         \
34   _(prim, MKLDNNHardTanh)            \
35   _(prim, MKLDNNClamp)               \
36   _(prim, StaticRuntimeCopyOuts)     \
37   _(prim, Drop)                      \
38   _(prim, Eval)                      \
39   _(prim, Expand) /* onnx */         \
40   _(prim, FusionGroup)               \
41   _(prim, CudaFusionGroup)           \
42   _(prim, CudaFusionGuard)           \
43   _(prim, oneDNNFusionGroup)         \
44   _(prim, oneDNNFusionGuard)         \
45   _(prim, FunctionalGraph)           \
46   _(prim, add_optional)              \
47   _(prim, view_copy)                 \
48   _(prim, permute_copy)              \
49   _(prim, reshape_copy)              \
50   _(prim, squeeze_copy)              \
51   _(prim, t_copy)                    \
52   _(prim, transpose_copy)            \
53   _(prim, unsqueeze_copy)            \
54   _(prim, flatten_copy)              \
55   _(prim, expand_copy)               \
56   _(prim, expand_as_copy)            \
57   _(prim, DifferentiableGraph)       \
58   _(prim, TensorExprGroup)           \
59   _(prim, TensorExprDynamicGroup)    \
60   _(prim, StaticSubgraph)            \
61   _(prim, If)                        \
62   _(prim, Jump) /* debug */          \
63   _(prim, JumpNZ) /* debug */        \
64   _(prim, JumpZ) /* debug */         \
65   _(prim, Load)                      \
66   _(prim, Loop)                      \
67   _(prim, Param)                     \
68   _(prim, PackPadded) /* onnx */     \
69   _(prim, PadPacked) /* onnx */      \
70   _(prim, Placeholder) /* debug */   \
71   _(prim, Print)                     \
72   _(prim, EmptyListLiteral)          \
73   _(prim, LegacyTypedConstructor)    \
74   _(prim, PythonOp)                  \
75   _(prim, IgnoredPythonOp)           \
76   _(prim, Reverse)                   \
77   _(prim, Return)                    \
78   _(prim, ReturnStmt)                \
79   _(prim, BreakStmt)                 \
80   _(prim, ContinueStmt)              \
81   _(prim, ComprehensionScope)        \
82   _(prim, Store)                     \
83   _(prim, AutogradZero)              \
84   _(prim, AutogradAnyNonZero)        \
85   _(prim, AutogradAllNonZero)        \
86   _(prim, AutogradAllZero)           \
87   _(prim, Starred)                   \
88   _(prim, TupleConstruct)            \
89   _(prim, TupleUnpack)               \
90   _(prim, TupleIndex)                \
91   _(prim, TupleSlice)                \
92   _(prim, ListConstruct)             \
93   _(prim, ListUnpack)                \
94   _(prim, DictConstruct)             \
95   _(prim, ModuleContainerIndex)      \
96   _(prim, EnumName)                  \
97   _(prim, EnumValue)                 \
98   _(prim, StringIndex)               \
99   _(prim, NumToTensor)               \
100   _(prim, Uninitialized)             \
101   _(prim, VarConcat)                 \
102   _(prim, VarStack)                  \
103   _(prim, With)                      \
104   _(prim, Enter)                     \
105   _(prim, Exit)                      \
106   _(prim, IfThenElse)                \
107   _(aten, Bool)                      \
108   _(aten, Int)                       \
109   _(aten, FloatImplicit)             \
110   _(aten, ComplexImplicit)           \
111   _(aten, IntImplicit)               \
112   _(aten, ScalarImplicit)            \
113   _(aten, Float)                     \
114   _(aten, Complex)                   \
115   _(aten, str)                       \
116   _(aten, Delete)                    \
117   _(prim, device)                    \
118   _(prim, dtype)                     \
119   _(prim, layout)                    \
120   _(prim, id)                        \
121   _(prim, requires_grad)             \
122   _(prim, MakeTestTensor) /* test */ \
123   _(prim, AutogradAdd)               \
124   _(prim, GradOf)                    \
125   _(aten, grad)                      \
126   _(aten, backward)                  \
127   _(prim, Guard)                     \
128   _(prim, BailOut)                   \
129   _(prim, TypeCheck)                 \
130   _(prim, RequiresGradCheck)         \
131   _(prim, FallbackGraph)             \
132   _(prim, FusedConcat)               \
133   _(prim, ConstantChunk)             \
134   _(prim, MMTreeReduce)              \
135   _(prim, MMBatchSide)               \
136   _(prim, list)                      \
137   _(prim, dict)                      \
138   _(prim, min)                       \
139   _(prim, max)                       \
140   _(prim, abs)                       \
141   _(aten, divmod)                    \
142   _(prim, zip)                       \
143   _(prim, enumerate)                 \
144   _(prim, range)                     \
145   _(prim, rangelist)                 \
146   _(prim, isinstance)                \
147   _(prim, tolist)                    \
148   _(prim, unchecked_cast)            \
149   _(aten, _grad_sum_to_size)         \
150   _(aten, _size_if_not_equal)        \
151   _(aten, _ncf_unsqueeze)            \
152   _(aten, warn)                      \
153   _(aten, sorted)                    \
154   _(aten, floordiv)                  \
155   _(aten, __range_length)            \
156   _(aten, __derive_index)            \
157   _(aten, __round_to_zero_floordiv)  \
158   _(aten, is_scripting)              \
159   _(aten, _unwrap_optional)          \
160   _(prim, fork)                      \
161   _(prim, awaitable)                 \
162   _(prim, forkClosure)               \
163   _(prim, awaitableClosure)          \
164   _(prim, awaitable_nowait)          \
165   _(prim, awaitable_wait)            \
166   _(prim, RaiseException)            \
167   _(prim, Closure)                   \
168   _(prim, CreateObject)              \
169   _(prim, SetAttr)                   \
170   _(prim, GetAttr)                   \
171   _(prim, HasAttr)                   \
172   _(prim, profile)                   \
173   _(prim, profile_ivalue)            \
174   _(prim, AddStatValue)              \
175   _(prim, TimePoint)                 \
176   _(prim, CallFunction)              \
177   _(prim, CallMethod)                \
178   _(prim, LoopContinuation)          \
179   _(prim, annotate)                  \
180   _(prim, TracedModuleForward)       \
181   _(prim, TracedFork)                \
182   _(prim, TracedAttr)                \
183   _(prim, rpc_async)                 \
184   _(prim, rpc_sync)                  \
185   _(prim, rpc_remote)                \
186   _(prim, is_cuda)                   \
187   _(aten, append)                    \
188   _(aten, as_tensor)                 \
189   _(aten, adaptive_avg_pool2d_backward) \
190   _(aten, dim)                       \
191   _(aten, format)                    \
192   _(aten, percentFormat)             \
193   _(aten, __not__)                   \
194   _(aten, __is__)                    \
195   _(aten, __isnot__)                 \
196   _(aten, _ger)                      \
197   _(aten, __getitem__)               \
198   _(aten, _set_item)                 \
199   _(aten, manual_seed)               \
200   _(aten, device)                    \
201   _(aten, hash)                      \
202   _(aten, len)                       \
203   _(aten, list)                      \
204   _(aten, dict)                      \
205   _(aten, wait)                      \
206   _(aten, save)                      \
207   _(aten, keys)                      \
208   _(aten, ord)                       \
209   _(aten, chr)                       \
210   _(aten, hex)                       \
211   _(aten, oct)                       \
212   _(aten, clear)                     \
213   _(aten, setdefault)                \
214   _(aten, bin)                       \
215   _(aten, pop)                       \
216   _(aten, insert)                    \
217   _(aten, tensor)                    \
218   _(prim, unchecked_unwrap_optional) \
219   _(aten, __contains__)              \
220   _(prim, BailoutTemplate)           \
221   _(prim, grad)                      \
222   _(cuda, _set_device)               \
223   _(cuda, set_stream)                \
224   _(cuda, _current_device)           \
225   _(cuda, synchronize)               \
226   _(aten, has_torch_function)        \
227   _(aten, is_autocast_enabled)       \
228   _(aten, is_autocast_cpu_enabled)   \
229   _(aten, is_autocast_xla_enabled)   \
230   _(aten, get_autocast_dtype)        \
231   _(aten, is_autocast_mps_enabled)   \
232   FORALL_ATEN_BASE_SYMBOLS(_)        \
233   _(onnx, Add)                       \
234   _(onnx, Concat)                    \
235   _(onnx, Constant)                  \
236   _(onnx, ConstantFill)              \
237   _(onnx, Div)                       \
238   _(onnx, GRU)                       \
239   _(onnx, Gather)                    \
240   _(onnx, Gemm)                      \
241   _(onnx, LSTM)                      \
242   _(onnx, MatMul)                    \
243   _(onnx, Min)                       \
244   _(onnx, Max)                       \
245   _(onnx, Mul)                       \
246   _(onnx, Pow)                       \
247   _(onnx, RNN)                       \
248   _(onnx, Shape)                     \
249   _(onnx, Size)                      \
250   _(onnx, Slice)                     \
251   _(onnx, Softmax)                   \
252   _(onnx, Squeeze)                   \
253   _(onnx, Sub)                       \
254   _(onnx, Transpose)                 \
255   _(onnx, Unsqueeze)                 \
256   _(onnx, Loop)                      \
257   _(onnx, If)                        \
258   _(onnx, Reshape)                   \
259   _(onnx, Expand)                    \
260   _(onnx, Equal)                     \
261   _(onnx, Greater)                   \
262   _(onnx, GreaterOrEqual)            \
263   _(onnx, Less)                      \
264   _(onnx, LessOrEqual)               \
265   _(onnx, Not)                       \
266   _(aten, ATen)                      \
267   _(onnx, Split)                     \
268   _(onnx, ConstantOfShape)           \
269   _(onnx, Cast)                      \
270   _(onnx, Mod)                       \
271   _(onnx, Sqrt)                      \
272   _(onnx, SplitToSequence)           \
273   _(onnx, SequenceAt)                \
274   _(onnx, SequenceConstruct)         \
275   _(onnx, SequenceEmpty)             \
276   _(onnx, SequenceInsert)            \
277   _(onnx, SequenceErase)             \
278   _(onnx, ConcatFromSequence)        \
279   _(onnx, Identity)                  \
280   _(onnx, SoftmaxCrossEntropyLoss)   \
281   _(onnx, NegativeLogLikelihoodLoss) \
282   _(onnx, LogSoftmax)                \
283   _(onnx, ReduceL1)                  \
284   _(onnx, ReduceL2)                  \
285   _(onnx, Conv)                      \
286   _(onnx, BatchNormalization)        \
287   _(onnx, ReduceMean)                \
288   _(onnx, ReduceProd)                \
289   _(onnx, Relu)                      \
290   _(onnx, Neg)                       \
291   _(onnx, NonZero)                   \
292   _(onnx, Range)                     \
293   _(onnx, Tile)                      \
294   _(onnx, Where)                     \
295   _(onnx, Optional)                  \
296   _(onnx, OptionalGetElement)        \
297   _(onnx, OptionalHasElement)        \
298   FORALL_ATTR_BASE_SYMBOLS(_)        \
299   _(attr, Subgraph)                  \
300   _(attr, ReverseSubgraph)           \
301   _(attr, f_real_outputs)            \
302   _(attr, df_input_vjps)             \
303   _(attr, df_input_captured_inputs)  \
304   _(attr, df_input_captured_outputs) \
305   _(attr, df_output_vjps)            \
306   _(attr, axes)                      \
307   _(attr, symbolic_shape_inputs)     \
308   _(attr, allow_stack_outputs)       \
309   _(attr, striding_inputs_desc)      \
310   _(attr, striding_outputs_desc)     \
311   _(attr, broadcast)                 \
312   _(attr, direction)                 \
313   _(attr, ends)                      \
314   _(attr, inplace)                   \
315   _(attr, input_as_shape)            \
316   _(attr, is_zero)                   \
317   _(attr, num_none)                  \
318   _(attr, num_present)               \
319   _(attr, perm)                      \
320   _(attr, starts)                    \
321   _(attr, profiled_type)             \
322   _(attr, transA)                    \
323   _(attr, transB)                    \
324   _(attr, name)                      \
325   _(attr, module)                    \
326   _(attr, beg)                       \
327   _(attr, idx)                       \
328   _(attr, split)                     \
329   _(attr, slot)                      \
330   _(attr, kinds)                     \
331   _(attr, types)                     \
332   _(attr, scope)                     \
333   _(attr, keepdims)                  \
334   _(attr, cache_id)                  \
335   _(attr, new_axis)                  \
336   _(attr, warn_id)                   \
337   _(attr, output_layouts)            \
338   _(attr, allowzero)                 \
339   _(attr, seen_none)                 \
340   _(attr, overload_name)             \
341   _(attr, node_stack_idx)
342 
343 enum class _keys : unique_t {
344     #define DEFINE_KEY(ns, s) ns##_##s,
345     FORALL_NS_SYMBOLS(DEFINE_KEY)
346     #undef DEFINE_KEY
347     num_symbols
348 };
349 
350 #define DEFINE_SYMBOL(ns, s) \
351   namespace ns { constexpr Symbol s(static_cast<unique_t>(_keys::ns##_##s)); }
352 FORALL_NS_SYMBOLS(DEFINE_SYMBOL)
353 #undef DEFINE_SYMBOL
354 
355 } // namespace c10
356