/external/pytorch/torch/_subclasses/ |
D | fake_tensor.py | 173 if isinstance(x, FakeTensor): 193 if isinstance(t, FakeTensor): 279 def add_constant_storage_mapping(self, fake_tensor: FakeTensor) -> None: argument 283 assert isinstance(fake_tensor, FakeTensor) and fake_tensor.constant is not None 294 assert not isinstance(tensor, FakeTensor) 308 def _get_memo(self, t: Tensor) -> Optional[FakeTensor]: 314 def set_tensor_memo(self, t: Tensor, v: FakeTensor) -> None: argument 334 ) -> FakeTensor: 357 def mk_fake_tensor(make_meta_t: Callable[[], object]) -> FakeTensor: 366 return FakeTensor( [all …]
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D | fake_impls.py | 24 FakeTensor, 177 return FakeTensor(fake_mode, r, out_device) 229 if isinstance(x, FakeTensor): 509 return FakeTensor(fake_mode, out, out_device) 549 device, _ = FakeTensor._find_common_device(func, [tl[i] for tl in tensor_lists]) 706 return FakeTensor(fake_mode, t, device) 907 return FakeTensor( 920 return FakeTensor( 941 return FakeTensor(fake_mode, out, x.device)
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D | __init__.py | 4 FakeTensor,
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/external/executorch/backends/cadence/aot/ |
D | graph_builder.py | 10 from torch._subclasses import FakeTensor, FakeTensorMode 51 self, target: str, fake_tensor: Union[FakeTensor, torch.Tensor] argument 53 if not isinstance(fake_tensor, FakeTensor): 82 placeholders: Sequence[Union[torch.Tensor, FakeTensor]], argument 103 (torch.Tensor, FakeTensor), lambda x: op_to_placeholder_dict[x], (args, kwargs)
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/external/pytorch/torch/fx/passes/ |
D | reinplace.py | 5 from torch._subclasses.fake_tensor import FakeTensorMode, FakeTensor 103 assert isinstance(node.meta['fake_result'], FakeTensor) 104 assert isinstance(node.meta['view_of'].meta['fake_result'], FakeTensor) 180 if isinstance(x, FakeTensor): 221 assert isinstance(base.meta['fake_result'], FakeTensor) 223 assert isinstance(mutated_view.meta['fake_result'], FakeTensor) 484 if isinstance(x, FakeTensor): 634 ) for x in old_flattened_res if isinstance(x, FakeTensor)} 638 ) for x in node_flattened_res if isinstance(x, FakeTensor)} 655 ) for x in new_flattened_res if isinstance(x, FakeTensor)}
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D | fake_tensor_prop.py | 8 from torch._subclasses.fake_tensor import FakeTensorMode, FakeTensor 42 if isinstance(obj, FakeTensor):
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/external/executorch/backends/vulkan/ |
D | utils.py | 21 from torch._subclasses.fake_tensor import FakeTensor 74 if isinstance(node.meta["val"], FakeTensor): 78 return all(isinstance(x, FakeTensor) for x in node.meta["val"]) 125 if isinstance(node.meta["val"], FakeTensor): 183 if isinstance(node.meta["val"], FakeTensor):
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/external/executorch/backends/arm/_passes/ |
D | arm_pass_utils.py | 27 from torch._subclasses.fake_tensor import FakeTensor 120 def get_first_fake_tensor(node: torch.fx.Node) -> FakeTensor: 133 fake_tensor, FakeTensor
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/external/executorch/backends/vulkan/_passes/ |
D | tag_memory_meta_pass.py | 26 from torch._subclasses.fake_tensor import FakeTensor 142 arg.meta["val"], FakeTensor 182 arg.meta["val"], FakeTensor 205 if not isinstance(node.meta["val"], FakeTensor):
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D | remove_local_scalar_dense_ops.py | 13 from torch._subclasses.fake_tensor import FakeTensor 46 if not isinstance(tensor_val, FakeTensor):
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/external/pytorch/torch/_export/ |
D | pass_base.py | 14 from torch._subclasses import FakeTensor, UnsupportedFakeTensorException 80 elif isinstance(a, FakeTensor): 100 … ) -> Union[FakeTensor, torch.SymInt, torch.SymFloat, torch.SymBool, int, float, bool, str, None]: 101 if isinstance(x, FakeTensor): 136 if not isinstance(x, FakeTensor) and isinstance(x, torch.Tensor): 286 def extract_input(node: torch.fx.Node) -> Optional[FakeTensor]: 294 return FakeTensor( 423 if isinstance(i, FakeTensor):
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/external/executorch/exir/passes/ |
D | const_prop_pass.py | 13 from torch._subclasses.fake_tensor import FakeTensor 35 if isinstance(arg, FakeTensor):
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D | __init__.py | 59 from torch._subclasses import FakeTensor 263 Optional[FakeTensor], List[Optional[FakeTensor]], Tuple[Optional[FakeTensor]] argument 283 elif isinstance(val, FakeTensor): 419 assert isinstance(val, FakeTensor)
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/external/executorch/devtools/debug_format/ |
D | et_schema.py | 32 from torch._subclasses import FakeTensor 397 if isinstance(val, (FakeTensor, torch.Tensor)): 401 isinstance(tensor, (FakeTensor, torch.Tensor)) for tensor in val 411 if isinstance(val, (FakeTensor, torch.Tensor)): 415 isinstance(tensor, (FakeTensor, torch.Tensor)) for tensor in val
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/external/executorch/backends/qualcomm/_passes/ |
D | i64_to_i32.py | 10 from torch._subclasses.fake_tensor import FakeTensor 41 return isinstance(node_val, FakeTensor) and node_val.dtype == dtype
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/external/executorch/exir/dialects/backend/test/ |
D | test_backend_ops.py | 16 from torch._subclasses.fake_tensor import FakeTensor, FakeTensorMode 59 out = FakeTensor.from_tensor(x, mode)
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/external/pytorch/test/ |
D | test_fake_tensor.py | 29 FakeTensor, 84 self.assertTrue(isinstance(t, FakeTensor)) 106 self.assertTrue(isinstance(z, FakeTensor)) 145 self.assertIsInstance(param, FakeTensor) 171 self.assertTrue(isinstance(out, FakeTensor)) 188 self.assertTrue(isinstance(out, FakeTensor)) 215 self.assertTrue(isinstance(out, FakeTensor)) 269 self.assertIsInstance(fake_tensor, FakeTensor) 275 self.assertTrue(isinstance(x, FakeTensor)) 283 self.assertTrue(isinstance(out, FakeTensor)) [all …]
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D | test_content_store.py | 8 from torch._subclasses.fake_tensor import FakeTensor, FakeTensorMode 115 self.assertIsInstance(x4, FakeTensor)
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/external/pytorch/torch/_functorch/_aot_autograd/ |
D | jit_compile_runtime_wrappers.py | 24 from torch._subclasses import FakeTensor 256 fw_ins: List[Optional[FakeTensor]], argument 257 user_fw_outs: List[Optional[FakeTensor]], argument 258 bw_outs: List[Optional[FakeTensor]], argument 259 saved_tensors: List[FakeTensor], argument 268 if isinstance(t, FakeTensor):
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/external/pytorch/docs/source/ |
D | export.ir_spec.rst | 237 of type `<symint>`, `<FakeTensor>`, a 238 ``List[Union[FakeTensor, SymInt]]``, or ``None``. 355 FakeTensor section in References 358 A FakeTensor is an object that contains the metadata of a tensor. It can be 363 class FakeTensor: 369 The size field of FakeTensor is a list of integers or SymInts. If SymInts are 374 are no strides in FakeTensor. 379 FakeTensor describing that tensor. 389 - ``aten::add`` returns a Tensor; so its spec will be a FakeTensor with dtype 394 will also be a 2-tuple of FakeTensor objects, the first TensorMeta describes [all …]
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/external/executorch/exir/ |
D | pass_base.py | 37 from torch._subclasses.fake_tensor import FakeTensor 189 elif isinstance(a, FakeTensor): 212 FakeTensor, 222 if isinstance(x, FakeTensor): 268 if not isinstance(x, FakeTensor) and isinstance(x, torch.Tensor): 423 def extract_input(node: torch.fx.Node) -> Optional[FakeTensor]: 431 return FakeTensor( 560 if isinstance(i, FakeTensor):
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/external/executorch/backends/transforms/ |
D | convert_dtype_pass.py | 15 from torch._subclasses.fake_tensor import FakeTensor 38 return isinstance(node_val, FakeTensor) and node_val.dtype == dtype
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/external/executorch/backends/arm/quantizer/ |
D | arm_quantizer_utils.py | 19 from torch._subclasses import FakeTensor 129 if "val" not in node.meta or not isinstance(node.meta["val"], FakeTensor):
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/external/executorch/exir/verification/ |
D | verifier.py | 27 from torch._subclasses import FakeTensor 141 def _get_inputs(graph_module: GraphModule) -> List[Optional[FakeTensor]]: 142 def extract_input(node: torch.fx.Node) -> Optional[FakeTensor]:
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/external/pytorch/torch/ |
D | _tensor_str.py | 454 from torch._subclasses.fake_tensor import FakeTensor 456 is_meta = self.is_meta or isinstance(self, FakeTensor) 493 from torch._subclasses.fake_tensor import FakeTensor 496 is_meta = self.is_meta or isinstance(self, FakeTensor) 592 from torch._subclasses.fake_tensor import FakeTensor 594 if self.is_meta or isinstance(self, FakeTensor):
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