| /external/executorch/backends/vulkan/_passes/ |
| D | tag_memory_meta_pass.py | 54 clone_node = graph_module.graph.create_node(
59 clone_node.meta["val"] = arg.meta["val"]
60 clone_node.meta["spec"] = deepcopy(arg.meta["spec"])
61 clone_node.meta["spec"].const = False
62 set_memory_metadata(clone_node, storage, layout)
63 arg.replace_all_uses_with(clone_node, lambda x, y=node: x == y)
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| /external/sdv/vsomeip/third_party/boost/spirit/include/boost/spirit/home/x3/string/detail/ |
| D | tst.hpp | 45 clone_node(tst_node* p, Alloc* alloc) in clone_node() function
52 clone->lt = clone_node(p->lt, alloc); in clone_node()
53 clone->eq = clone_node(p->eq, alloc); in clone_node()
54 clone->gt = clone_node(p->gt, alloc); in clone_node()
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| /external/sdv/vsomeip/third_party/boost/spirit/include/boost/spirit/home/qi/string/detail/ |
| D | tst.hpp | 47 clone_node(tst_node* p, Alloc* alloc) in clone_node() function
54 clone->lt = clone_node(p->lt, alloc); in clone_node()
55 clone->eq = clone_node(p->eq, alloc); in clone_node()
56 clone->gt = clone_node(p->gt, alloc); in clone_node()
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| /external/sdv/vsomeip/third_party/boost/spirit/include/boost/spirit/home/x3/string/ |
| D | tst.hpp | 98 root = node::clone_node(rhs.root, this); in copy()
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| D | tst_map.hpp | 165 map_data xx = {node::clone_node(x.second.root, this), 0}; in copy()
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| /external/sdv/vsomeip/third_party/boost/spirit/include/boost/spirit/home/qi/string/ |
| D | tst.hpp | 100 root = node::clone_node(rhs.root, this); in copy()
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| D | tst_map.hpp | 173 map_data xx = {node::clone_node(x.second.root, this), 0}; in copy()
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| /external/pytorch/torch/csrc/jit/passes/onnx/ |
| D | shape_type_inference.cpp | 304 auto clone_node = n_graph->createClone( in CloneNodeToGraph() local
354 return clone_node; in CloneNodeToGraph()
1805 Node* clone_node, in UpdateOutputTypeByONNXProto() argument
1815 if (clone_node->output(i)->debugName() == v_info.name()) { in UpdateOutputTypeByONNXProto()
2068 auto clone_node = CloneNodeToGraph(n, n_graph, params_dict, opset_version); in ONNXShapeTypeInference() local
2069 n_graph->insertNode(clone_node); in ONNXShapeTypeInference()
2072 for (auto output : clone_node->outputs()) { in ONNXShapeTypeInference()
2078 for (size_t i = 0; i < clone_node->inputs().size(); ++i) { in ONNXShapeTypeInference()
2080 clone_node->input(i)->debugName(); in ONNXShapeTypeInference()
2083 for (size_t i = 0; i < clone_node->outputs().size(); ++i) { in ONNXShapeTypeInference()
[all …]
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| /external/pytorch/torch/_inductor/fx_passes/ |
| D | quantization.py | 1792 clone_node = (
1798 clone_node.args[0] # type: ignore[union-attr]
1804 clone_node.args[0] # type: ignore[union-attr]
1893 if clone_node is not None:
1894 graph.erase_node(clone_node) # type: ignore[arg-type]
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| /external/rust/android-crates-io/crates/linked-hash-map/src/ |
| D | lib.rs | 1066 fn clone_node<K, V>(e: *mut Node<K, V>) -> *mut Node<K, V> in clone() function
1077 let head = clone_node(cur); in clone()
1081 (*tail).prev = clone_node((*cur).prev); in clone()
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| /external/pytorch/torch/csrc/autograd/ |
| D | python_function.cpp | 961 auto* clone_node = in _append_subgraph() local
964 value_map[node->outputs()[i]] = clone_node->outputs()[i]; in _append_subgraph()
968 subgraph->registerOutput(clone_node->outputs()[i]); in _append_subgraph()
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| /external/sdv/vsomeip/third_party/boost/property_tree/include/boost/property_tree/detail/ |
| D | rapidxml.hpp | 485 xml_node<Ch> *clone_node(const xml_node<Ch> *source, xml_node<Ch> *result = 0) in clone_node() function in boost::property_tree::detail::rapidxml::memory_pool
503 result->append_node(clone_node(child)); in clone_node()
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| /external/pytorch/torch/_export/ |
| D | converter.py | 984 clone_node = self.fx_graph.call_function(
988 self.name_to_node[output_name] = clone_node
|