return WalkResult::advance();
    OpBuilder builder(reduce_dataset);
    Location loc = reduce_dataset.getLoc();

    // Get reduce function signature for dataset iteration types.
    // Note: lookupSymbol is a linear lookup which means the overall
    // complexity = # ReduceDataset ops x # of functions in module.
    func::FuncOp reduce_func =
        function->getParentOfType<ModuleOp>().lookupSymbol<FuncOp>(

limitations under the License.
==============================================================================*/

// The XlaDevice executes a TensorFlow graph using the XLA linear algebra
// runtime.
//
// Operators assigned to an XlaDevice are compiled into XLA computations.
// Tensors on an XlaDevice are thin wrappers around XLA ScopedShapedBuffers.
//

	unlock(&ticks.lock)
}

// minTimeForTicksPerSecond is the minimum elapsed time we require to consider our ticksPerSecond
// measurement to be of decent enough quality for profiling.
//
// There's a linear relationship here between minimum time and error from the true value.
// The error from the true ticks-per-second in a linux/amd64 VM seems to be:
// -   1 ms -> ~0.02% error
// -   5 ms -> ~0.004% error

// this CaseRange represents a sequence of the form (say)
// [Upper] [Lower] [Upper] [Lower].
const (
	UpperLower = MaxRune + 1 // (Cannot be a valid delta.)
)

// linearMax is the maximum size table for linear search for non-Latin1 rune.
// Derived by running 'go test -calibrate'.
const linearMax = 18

// is16 reports whether r is in the sorted slice of 16-bit ranges.
func is16(ranges []Range16, r uint16) bool {

TEXT wasm_pc_f_loop(SB),NOSPLIT,$0
// Call the function for the current PC_F. Repeat until PAUSE != 0 indicates pause or exit.
// The WebAssembly stack may unwind, e.g. when switching goroutines.
// The Go stack on the linear memory is then used to jump to the correct functions
// with this loop, without having to restore the full WebAssembly stack.
// It is expected to have a pending call before entering the loop, so check PAUSE first.
	Get PAUSE

func BenchmarkNilCheckDeep10000(b *testing.B) { benchmarkNilCheckDeep(b, 10000) }

// benchmarkNilCheckDeep is a stress test of nilcheckelim.
// It uses the worst possible input: A linear string of
// nil checks, none of which can be eliminated.
// Run with multiple depths to observe big-O behavior.
func benchmarkNilCheckDeep(b *testing.B, depth int) {
	c := testConfig(b)
	ptrType := c.config.Types.BytePtr

    }
  }

  /*
   * The maximum number of bits in a square root for which we'll precompute an explicit half power
   * of two. This can be any value, but higher values incur more class load time and linearly
   * increasing memory consumption.
   */
  @VisibleForTesting static final int SQRT2_PRECOMPUTE_THRESHOLD = 256;

  @VisibleForTesting
  static final BigInteger SQRT2_PRECOMPUTED_BITS =

    }
  }

  /*
   * The maximum number of bits in a square root for which we'll precompute an explicit half power
   * of two. This can be any value, but higher values incur more class load time and linearly
   * increasing memory consumption.
   */
  @VisibleForTesting static final int SQRT2_PRECOMPUTE_THRESHOLD = 256;

  @VisibleForTesting
  static final BigInteger SQRT2_PRECOMPUTED_BITS =

	// We think of the mutator utilization over time as the
	// box-filtered utilization function, which we call the
	// "windowed mutator utilization function". The resulting
	// function is continuous and piecewise linear (unless
	// window==0, which we handle elsewhere), where the boundaries
	// between segments occur when either edge of the window
	// encounters a change in the instantaneous mutator

  }];

  let description = [{
That is for rows we have grad for, we update var, accum and linear as follows:
accum_new = accum + grad * grad
linear += grad - (accum_new^(-lr_power) - accum^(-lr_power)) / lr * var
quadratic = 1.0 / (accum_new^(lr_power) * lr) + 2 * l2
var = (sign(linear) * l1 - linear) / quadratic if |linear| > l1 else 0.0
accum = accum_new
  }];

  let arguments = (ins