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Results 1 - 4 of 4 for SetArg (0.32 sec)

  1. src/cmd/compile/internal/ssa/prove.go

    		for i, v := range check.Args {
    			if v != end {
    				continue
    			}
    
    			check.SetArg(i, start)
    			goto replacedEnd
    		}
    		panic(fmt.Sprintf("unreachable, ind: %v, start: %v, end: %v", ind, start, end))
    	replacedEnd:
    
    		for i, v := range ind.Args {
    			if v != start {
    				continue
    			}
    
    			ind.SetArg(i, end)
    			goto replacedStart
    		}
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Mar 04 17:30:21 UTC 2024
    - 48.9K bytes
    - Viewed (0)
  2. src/cmd/compile/internal/ssa/regalloc.go

    				vi := &s.values[a.ID]
    				if vi.regs == 0 && !vi.rematerializeable {
    					// Use the spill location.
    					// This forces later liveness analysis to make the
    					// value live at this point.
    					v.SetArg(0, s.makeSpill(a, b))
    				} else if _, ok := a.Aux.(*ir.Name); ok && vi.rematerializeable {
    					// Rematerializeable value with a gc.Node. This is the address of
    					// a stack object (e.g. an LEAQ). Keep the object live.
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Tue Nov 21 17:49:56 UTC 2023
    - 87.2K bytes
    - Viewed (0)
  3. src/cmd/compile/internal/ssa/rewrite.go

    				// of a value so that a x.Uses==1 rule condition
    				// fires reliably.
    				for i, a := range v.Args {
    					if a.Op != OpCopy {
    						continue
    					}
    					aa := copySource(a)
    					v.SetArg(i, aa)
    					// If a, a copy, has a line boundary indicator, attempt to find a new value
    					// to hold it.  The first candidate is the value that will replace a (aa),
    					// if it shares the same block and line and is eligible.
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Fri Jun 07 19:02:52 UTC 2024
    - 64.2K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/quantization/tensorflow/passes/quantize_composite_functions.cc

            return failure();
          }
          output_types = {new_output_type};
        } else {
          output_types = {output_type.clone(elem_type.getStorageType())};
        }
    
        SmallVector<Value> args = {q_op.getArg(), scale, zero_point};
        FlatSymbolRefAttr func_name =
            FlatSymbolRefAttr::get(rewriter.getStringAttr(kQuantizeFuncName));
    
        auto quantize_call = rewriter.create<TF::PartitionedCallOp>(
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 54.5K bytes
    - Viewed (0)
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