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Results 11 - 13 of 13 for sans (0.05 sec)

  1. tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

    difficult to implement efficiently in XLA. The implementation imposes
    a total ordering on floats. The ordering is consistent with the usual
    partial order.  Positive NaNs are greater than positive
    infinity. Negative NaNs are less than negative infinity. NaNs with
    distinct payloads are treated as distinct. Subnormal numbers are
    preserved (not flushed to zero). Positive infinity is greater than all
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
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  2. src/cmd/compile/internal/ssagen/ssa.go

    		for _, arg := range n.Args[1:] {
    			x = op(x, s.expr(arg))
    		}
    		return x
    	}
    
    	typ := n.Type()
    
    	if typ.IsFloat() || typ.IsString() {
    		// min/max semantics for floats are tricky because of NaNs and
    		// negative zero. Some architectures have instructions which
    		// we can use to generate the right result. For others we must
    		// call into the runtime instead.
    		//
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Jun 10 19:44:43 UTC 2024
    - 284.9K bytes
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  3. doc/go_spec.html

    var s []string
    _ = min(s...)               // invalid: slice arguments are not permitted
    t := max("", "foo", "bar")  // t == "foo" (string kind)
    </pre>
    
    <p>
    For numeric arguments, assuming all NaNs are equal, <code>min</code> and <code>max</code> are
    commutative and associative:
    </p>
    
    <pre>
    min(x, y)    == min(y, x)
    min(x, y, z) == min(min(x, y), z) == min(x, min(y, z))
    </pre>
    
    <p>
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Tue Jun 04 21:07:21 UTC 2024
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