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Results 1 - 2 of 2 for SymbolicGradient (0.13 sec)

  1. tensorflow/compiler/jit/resource_operation_safety_analysis_test.cc

      TF_ASSERT_OK(root.graph()->AddFunctionLibrary(flib_def));
    
      Node* read = MakeRead(root, "R");
      NameAttrList fn;
      fn.set_name("Const_func");
      Node* symbolic_gradient =
          ops::SymbolicGradient(root, /*input=*/{ops::Const(root, 1.0f)},
                                /*Tout=*/{DT_FLOAT}, fn)
              .output[0]
              .node();
    
      root.graph()->AddControlEdge(symbolic_gradient, read);
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Apr 28 16:53:59 UTC 2020
    - 18.7K bytes
    - Viewed (0)
  2. tensorflow/compiler/jit/compilability_check_util.cc

        const Node& node, string* uncompilable_reason) const {
      // There is a SymbolicGradient kernel on the XLA_JIT device, but the gradient
      // is really a kind of function call and will be handled by
      // IsCompilableCall().
      if (node.type_string() == "SymbolicGradient") {
        *uncompilable_reason =
            "SymbolicGradient should be handled by IsCompilableCall().";
        return false;
      }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Mar 12 06:33:33 UTC 2024
    - 30.3K bytes
    - Viewed (0)
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