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