Searched full:full_like (Results 1 – 25 of 128) sorted by relevance
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/external/pytorch/test/ |
D | test_complex.py | 93 actual = torch.full_like(b, complex(2, 2)) 100 actual = torch.full_like(b, complex(2, 2)) 194 actual = torch.full_like(b, complex(2, 2)) 218 actual = torch.full_like(b, complex(2, 2)) 274 actual = torch.full_like(b, complex(2, 2)) 281 actual = torch.full_like(b, complex(2, 2)) 375 actual = torch.full_like(b, complex(2, 2)) 399 actual = torch.full_like(b, complex(2, 2))
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/external/pytorch/test/export/ |
D | test_experimental.py | 234 …full_like = torch.ops.aten.full_like.default(div, 1, pin_memory = False, memory_format = torch.pre… 235 div_1 = torch.ops.aten.div.Scalar(full_like, 1); full_like = None 283 …full_like = torch.ops.aten.full_like.default(div, 1, pin_memory = False, memory_format = torch.pre… 284 div_1 = torch.ops.aten.div.Scalar(full_like, 1); full_like = None
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/external/pytorch/torch/distributed/_shard/sharded_tensor/_ops/ |
D | init.py | 116 torch.full_like: sharded_tensor.full, 132 ``torch.full_like``. 146 register_tensor_creation_op(torch.full_like)
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/external/pytorch/torch/distributions/ |
D | gumbel.py | 41 torch.full_like(self.loc, finfo.tiny), 42 torch.full_like(self.loc, 1 - finfo.eps),
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D | kumaraswamy.py | 53 torch.full_like(self.concentration0, 0), 54 torch.full_like(self.concentration0, 1),
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D | relaxed_categorical.py | 90 log_scale = torch.full_like(
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/external/executorch/backends/vulkan/runtime/graph/ops/impl/ |
D | Full.cpp | 33 // size_or_in is IntListPtr when op is full and vTensorPtr if op is full_like 79 VK_REGISTER_OP(aten.full_like.default, full);
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/external/pytorch/test/typing/pass/ |
D | creation_ops.py | 93 # torch.full/full_like 95 torch.full_like(torch.full((2, 3), 3.141592), 2.71828)
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/external/pytorch/test/distributed/ |
D | test_functional_api.py | 529 expected.append(torch.full_like(tensor, (idx + 1))) 547 expected.append(torch.full_like(tensor, (idx + 1))) 563 expected.append(torch.full_like(tensor, (idx + 1))) 684 self.assertEqual(out, torch.full_like(t, 2.0)) 689 self.assertEqual(t.grad, torch.full_like(t, 2.0)) 835 self.assertEqual(out, torch.full_like(t, 2.0)) 840 self.assertEqual(t.grad, torch.full_like(t, 2.0))
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/external/executorch/backends/apple/mps/test/ |
D | test_mps_linear.py | 334 scales, torch.full_like(scales, torch.finfo(torch.float32).eps) 336 zeros = torch.full_like(scales, 0) 366 scales, torch.full_like(scales, torch.finfo(torch.float32).eps) 369 zeros = torch.full_like(scales, 0)
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/external/executorch/backends/qualcomm/partition/ |
D | common_defs.py | 22 exir_ops.edge.aten.full_like.default,
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/external/pytorch/test/typing/reveal/ |
D | tensor_constructors.py | 95 # torch.full/full_like 97 reveal_type(torch.full_like(torch.full((2, 3), 3.141592), 2.71828)) # E: {Tensor}
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/external/pytorch/torch/csrc/jit/passes/ |
D | remove_inplace_ops.cpp | 13 {aten::fill_, aten::full_like}}; 16 // arguments of zeros_like and full_like so that the defaults are filled
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/external/pytorch/aten/src/ATen/test/ |
D | rng_test.h | 150 const auto expected = torch::full_like(actual, exp); in test_random_from_to() 206 const auto expected = torch::full_like(actual, exp); in test_random()
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/external/executorch/extension/training/ |
D | README.md | 167 …%full_like : [num_users=1] = call_function[target=torch.ops.aten.full_like.default](args = (%div, … 168 …%div_1 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%full_like, %_to_… 173 …%full_like_1 : [num_users=1] = call_function[target=torch.ops.aten.full_like.default](args = (%_lo…
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/external/executorch/exir/verification/ |
D | verifier.py | 107 torch.ops.aten.full_like.default, # TODO(T183507359) 279 torch.ops.aten.full_like.default, # TODO(T183507359)
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/external/pytorch/tools/autograd/ |
D | gen_trace_type.py | 108 "fill": "full_like", # replacing aten::fill_ with aten::full_like 244 # `aten::zeros_like` and replacing `aten::fill_` with `aten::full_like`.
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/external/executorch/backends/apple/mps/operators/ |
D | constant_ops.py | 84 target = "aten.full_like.default"
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/external/pytorch/torch/distributed/optim/ |
D | functional_rprop.py | 82 state["step_size"] = torch.full_like(gradient, lr)
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D | functional_adagrad.py | 65 "sum": torch.full_like(p.data, initial_accumulator_value),
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/external/executorch/docs/source/ |
D | extension-tensor.md | 310 Similarly to `empty()`, there are extra helper functions `full_like()`, `full_strided()`, `zeros_li… 385 | `at::full_like(tensor, value)` | `full_like(tensor, value)` |
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/external/pytorch/aten/src/ATen/functorch/ |
D | BatchRulesFactory.cpp | 232 VMAP_SUPPORT(full_like, BASIC_UNARY_BATCH_RULE(ATEN_FN(full_like))); in TORCH_LIBRARY_IMPL()
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/external/pytorch/torch/csrc/api/include/torch/optim/ |
D | adagrad.h | 86 state->sum(torch::full_like( in Optimizer()
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/external/pytorch/docs/source/ |
D | jit_unsupported.rst | 52 * :func:`torch.full_like`
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/external/executorch/backends/vulkan/partitioner/ |
D | supported_ops.py | 132 exir_ops.edge.aten.full_like.default,
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