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Results 1 - 3 of 3 for TF_Output (0.16 sec)

  1. tensorflow/c/c_api_test.cc

      TF_SessionOptions* opts = TF_NewSessionOptions();
      TF_Session* sess = TF_NewSession(graph, opts, s);
      TF_DeleteSessionOptions(opts);
    
      TF_Output feeds[] = {TF_Output{a, 0}, TF_Output{b, 0}};
      TF_Output fetches[] = {TF_Output{plus2, 0}, TF_Output{plusB, 0}};
    
      const char* handle = nullptr;
      TF_SessionPRunSetup(sess, feeds, TF_ARRAYSIZE(feeds), fetches,
    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)
  2. tensorflow/c/c_api.h

      TF_Graph* const cond_graph;
      const TF_Output* const cond_inputs;
      TF_Output cond_output;
    
      // The loop body graph. The inputs are the current values of the loop
      // variables. The outputs are the updated values of the loop variables.
      TF_Graph* const body_graph;
      const TF_Output* const body_inputs;
      TF_Output* const body_outputs;
    
    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)
  3. tensorflow/c/c_api_function_test.cc

        for (int i = 0; i < expected.size(); ++i) {
          ASSERT_EQ(expected[i], data[i]) << "Different data at index " << i;
        }
      }
    
      std::vector<TF_Output> ToOutput(const std::vector<TF_Operation*> ops) {
        std::vector<TF_Output> out;
        for (auto op : ops) {
          out.push_back({op, 0});
        }
        return out;
      }
    
      void Define(int num_opers, const std::vector<TF_Operation*>& opers,
    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)
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