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Results 1 - 3 of 3 for BackEdge (0.11 sec)

  1. tensorflow/compiler/jit/deadness_analysis.cc

    }
    
    namespace {
    Status CreateMultipleNextIterationInputsError(Node* merge) {
      std::vector<string> backedges;
      for (const Edge* backedge : merge->in_edges()) {
        if (backedge->src()->IsNextIteration()) {
          backedges.push_back(absl::StrCat("  ", SummarizeNode(*backedge->src())));
        }
      }
      return errors::InvalidArgument(
          "Multiple NextIteration inputs to merge node ",
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Mar 12 06:33:33 UTC 2024
    - 60.4K bytes
    - Viewed (0)
  2. 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)
  3. 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
    - Viewed (0)
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