from the value obtained by executing and rounding the instructions individually.
An explicit floating-point type <a href="#Conversions">conversion</a> rounds to
the precision of the target type, preventing fusion that would discard that rounding.
</p>

<p>
For instance, some architectures provide a "fused multiply and add" (FMA) instruction

            "issue at https://github.com/tensorflow/tensorflow/issues.");
        return;
      }
      // We have a convoluted scheme here: Using the C++ graph construction API
      // to add potentially many nodes to the graph without running the checks
      // (such as uniqueness of the names of nodes) we run with other functions

     *     {@code key} parameter. That way, we prevent the key from being garbage collected in the
     *     case of weak keys. If we create a new entry with a key that is null at construction time,
     *     we're not sure if entry will necessarily ever be garbage collected.
     * @param newNext entry in the same bucket

compare

// computer : 2013-10-24 Binky Moon, LLC
computer

// comsec : 2015-01-08 VeriSign, Inc.
comsec

// condos : 2013-12-05 Binky Moon, LLC
condos

// construction : 2013-09-16 Binky Moon, LLC
construction

// consulting : 2013-12-05 Dog Beach, LLC
consulting

// contact : 2015-01-08 Dog Beach, LLC
contact

// contractors : 2013-09-10 Binky Moon, LLC
contractors