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  1. tensorflow/compiler/jit/mark_for_compilation_pass.cc

        // if a special Identity node in the following pattern is clustered in.
        // That is, an Identity node in the loop cond computation is used to drive
        // const nodes consumed by the loop body.  If this Identity node goes into
        // the same cluster with nodes from the loop body, extra dependency is
        // created between the loop cond and body computations and it hinders the
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Feb 21 12:19:41 UTC 2024
    - 85.3K bytes
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  2. tensorflow/compiler/jit/deadness_analysis.cc

          return;
        }
        for (Predicate* op : current->GetOperands()) {
          if (visited.insert(op).second) {
            stack.push_back(op);
          }
        }
      }
    }
    
    // Creates and owns Predicate instances.  Simplifies predicates as it creates
    // them.
    class PredicateFactory {
     public:
      Predicate* MakeAndPredicate(absl::Span<Predicate* const> operands) {
        return MakeAndOrImpl(operands, /*is_and=*/true);
      }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Mar 12 06:33:33 UTC 2024
    - 60.4K bytes
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  3. tensorflow/compiler/jit/mark_for_compilation_pass_test.cc

      EXPECT_EQ(clusters["B_dev1"], clusters["MatMul1_dev1"]);
    }
    
    // TODO(b/117085735): This form of clustering should be prevented.
    TEST(XlaCompilationTest, NOT_DontClusterSpreadingNodes) {
      // MatMulSource below creates data for nodes on GPU0 and GPU1 and is placed
      // on GPU0. However, it should not be clustered with the next node on
      // GPU0, because that will prevent the node on GPU1 from beginning its work as
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Feb 14 10:11:10 UTC 2024
    - 79.6K bytes
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