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Results 11 - 12 of 12 for BackEdge (0.14 sec)

  1. tensorflow/compiler/jit/deadness_analysis_test.cc

      }
    }
    
    TEST(DeadnessAnalysisTest, LoopInvariantPredicateOnBackedge) {
      // Create a merge that "looks like" a loop but isn't really.  It has a value
      // that does not depend on the merge on its backedge.
      Scope root = Scope::NewRootScope().ExitOnError();
      InductionVarInfo iv = CreateInductionVariable(root, "iv0", "frame", 0);
      DependentInductionVar dependent_iv =
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 22 06:59:07 UTC 2024
    - 51.6K bytes
    - Viewed (0)
  2. src/cmd/compile/internal/ssa/debug.go

    		reset(p0)
    		return p0, blockChanged
    	}
    
    	// More than one predecessor
    
    	if updating {
    		// After the first approximation, i.e., when updating, results
    		// can only get smaller, because initially backedge
    		// predecessors do not participate in the intersection.  This
    		// means that for the update, given the prior approximation of
    		// startState, there is no need to re-intersect with unchanged
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Jun 10 19:44:43 UTC 2024
    - 58.4K bytes
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