[Dynamo] Add XPU API to trace_rules (#155788)

# Motivation
- Add binding API and non-bindling API to trace rules for XPU;
- Add some XPU API to the const fold function for Dynamo capture.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/155788
Approved by: https://github.com/jansel, https://github.com/EikanWang
ghstack dependencies: #155787

torch/_dynamo/trace_rules.py

@@ -350,6 +350,8 @@ manual_torch_name_rule_map: dict[str, Any] = {
     "torch.sparse_csr_tensor": SkipFunctionVariable,
     "torch.sparse_compressed_tensor": SkipFunctionVariable,
     "torch._C._autograd._unsafe_set_version_counter": TorchInGraphFunctionVariable,
+    "torch.xpu.get_rng_state": SkipFunctionVariable,
+    "torch.xpu.set_rng_state": SkipFunctionVariable,
     # avoid skipping user defined modules in distributed unit tests
     "torch/testing/_internal/common_fsdp.py#forward": UserFunctionVariable,
     f"torch/testing/_internal/common_fsdp.py#{TORCH_DYNAMO_RESUME_IN_PREFIX}": UserFunctionVariable,
@@ -1343,6 +1345,21 @@ torch_c_binding_in_graph_functions = dict.fromkeys(
         "torch._C._warn",
         "torch._C._will_engine_execute_node",
         "torch._C._wrap_tensor_impl",
+        "torch._C._xpu_emptyCache",
+        "torch._C._xpu_getArchFlags",
+        "torch._C._xpu_getCurrentStream",
+        "torch._C._xpu_getCurrentRawStream",
+        "torch._C._xpu_getDeviceCount",
+        "torch._C._xpu_getDevice",
+        "torch._C._xpu_getMemoryInfo",
+        "torch._C._xpu_getStreamFromExternal",
+        "torch._C._xpu_isInBadFork",
+        "torch._C._xpu_init",
+        "torch._C._xpu_memoryStats",
+        "torch._C._xpu_resetAccumulatedMemoryStats",
+        "torch._C._xpu_resetPeakMemoryStats",
+        "torch._C._xpu_setStream",
+        "torch._C._xpu_synchronize",
         "torch._C.fork",
         "torch._C.get_autocast_cpu_dtype",
         "torch._C.get_autocast_dtype",
@@ -2265,6 +2282,7 @@ torch_c_binding_in_graph_functions = dict.fromkeys(
         "torch.slice_inverse",
         "torch._assert_scalar",
         "torch._functional_assert_scalar",
+        "torch.xpu._get_device_properties",
     ],
     TorchInGraphFunctionVariable,
 )
@@ -2880,6 +2898,43 @@ torch_non_c_binding_in_graph_functions = dict.fromkeys(
         "torch.tensordot",
         "torch.unique_consecutive",
         "torch.use_deterministic_algorithms",
+        "torch.xpu._get_device",
+        "torch.xpu._get_generator",
+        "torch.xpu._get_rng_state_offset",
+        "torch.xpu._is_compiled",
+        "torch.xpu._lazy_call",
+        "torch.xpu._lazy_init",
+        "torch.xpu._set_rng_state_offset",
+        "torch.xpu._set_stream_by_id",
+        "torch.xpu._utils._get_device_index",
+        "torch.xpu.current_device",
+        "torch.xpu.current_stream",
+        "torch.xpu.device_count",
+        "torch.xpu.get_arch_list",
+        "torch.xpu.get_device_capability",
+        "torch.xpu.get_device_name",
+        "torch.xpu.get_device_properties",
+        "torch.xpu.get_gencode_flags",
+        "torch.xpu.get_stream_from_external",
+        "torch.xpu.init",
+        "torch.xpu.is_available",
+        "torch.xpu.is_bf16_supported",
+        "torch.xpu.is_initialized",
+        "torch.xpu.memory.empty_cache",
+        "torch.xpu.memory.max_memory_allocated",
+        "torch.xpu.memory.max_memory_reserved",
+        "torch.xpu.memory.mem_get_info",
+        "torch.xpu.memory.memory_allocated",
+        "torch.xpu.memory.memory_reserved",
+        "torch.xpu.memory.memory_stats_as_nested_dict",
+        "torch.xpu.memory.memory_stats",
+        "torch.xpu.memory.reset_accumulated_memory_stats",
+        "torch.xpu.memory.reset_peak_memory_stats",
+        "torch.xpu.random.initial_seed",
+        "torch.xpu.random.seed_all",
+        "torch.xpu.random.seed",
+        "torch.xpu.set_stream",
+        "torch.xpu.synchronize",
     ],
     TorchInGraphFunctionVariable,
 )

torch/_dynamo/variables/torch.py

@@ -134,6 +134,8 @@ REWRITE_OPS_TO_TENSOR_SIZE_METHOD = dict.fromkeys(
 constant_fold_functions_need_guards = [
     torch.cuda.current_device,
     torch.cuda.is_initialized,
+    torch.xpu.current_device,
+    torch.xpu.is_initialized,
 ]
 
 constant_fold_functions = [
@@ -156,6 +158,8 @@ constant_fold_functions = [
     torch.promote_types,
     torch._C._get_privateuse1_backend_name,
     torch.autograd._is_checkpoint_valid,
+    torch.xpu.get_device_properties,
+    torch.xpu.is_available,
 ] + constant_fold_functions_need_guards
 if torch.distributed.is_available():
     constant_fold_functions.extend(