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tensorflow/c/c_api.cc
mutex_lock l(graph->mu); std::vector<const tensorflow::Edge*> control_edges; for (const tensorflow::Edge* edge : op->node.in_edges()) { if (!edge->IsControlEdge()) continue; control_edges.push_back(edge); } for (const tensorflow::Edge* edge : control_edges) { graph->graph.RemoveControlEdge(edge); } } void TF_SetRequireShapeInferenceFns(TF_Graph* graph, bool require) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); NodeDef node_def_neg; ASSERT_TRUE(GetNodeDef(neg, &node_def_neg)); EXPECT_EQ(string("add"), node_def_neg.input(0)); // update edge of neg TF_UpdateEdge(graph, TF_Output{one, 0}, TF_Input{neg, 0}, s); ASSERT_TRUE(GetNodeDef(neg, &node_def_neg)); EXPECT_EQ(string("one:0"), node_def_neg.input(0)); // Clean up TF_DeleteGraph(graph);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/c_api.h
TF_Status* status); // This method is used to add a new input edge to 'dst', which must be a While // op. The While op's "T" attribute must have already been updated to include // the new edge. This is used to construct tf.while_loop gradients. TF_CAPI_EXPORT extern void TF_AddWhileInputHack(TF_Graph* graph,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
CONTRIBUTING.md
(by default) transferred to the TensorFlow team. This means that the benefit of the contribution must be compared against the cost of maintaining the feature. * Full new features (e.g., a new op implementing a cutting-edge algorithm) typically will live in [tensorflow/addons](https://github.com/tensorflow/addons) to get some airtime before a decision is made regarding whether they are to be migrated to the core.
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K bytes - Viewed (0) -
tensorflow/c/c_api_function_test.cc
const auto& v = a_edges.insert({iter->second, arg.name()}); ASSERT_TRUE(v.second) << "Duplicate edge " << iter->second << " -> " << arg.name() << ". fdef: " << fdef.DebugString(); } else { const auto& v = a_edges.insert({arg.name(), arg.name()}); ASSERT_TRUE(v.second) << "Duplicate edge " << arg.name() << " -> " << arg.name() << ". fdef: " << fdef.DebugString();
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 20 22:08:54 GMT 2023 - 63.6K bytes - Viewed (6) -
RELEASE.md
* Fixes a null dereference on MLIR on empty function attributes ([CVE-2022-36011](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-36011)) * Fixes an assertion failure on MLIR empty edge names ([CVE-2022-36012](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-36012))
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