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Results 1 - 6 of 6 for hedge (0.19 sec)

  1. 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
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  2. 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
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  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
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  4. 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
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  5. 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)
  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))
    Plain Text
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Mon Apr 29 19:17:57 GMT 2024
    - 727.7K bytes
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