public final V remove(@CheckForNull Object rowKey, @CheckForNull Object columnKey) {
    throw new UnsupportedOperationException();
  }

  /**
   * Serialized type for all ImmutableTable instances. It captures the logical contents and
   * preserves iteration order of all views.
   */
  static final class SerializedForm implements Serializable {
    private final Object[] rowKeys;
    private final Object[] columnKeys;

	}
	e.err = e.w.WriteByte(b)
}

func (e *encoder) writeHeader() {
	if e.err != nil {
		return
	}
	_, e.err = io.WriteString(e.w, "GIF89a")
	if e.err != nil {
		return
	}

	// Logical screen width and height.
	byteorder.LePutUint16(e.buf[0:2], uint16(e.g.Config.Width))
	byteorder.LePutUint16(e.buf[2:4], uint16(e.g.Config.Height))
	e.write(e.buf[:4])

	spineCap  uintptr                   // Spine array cap, accessed under spineLock

	// index is the head and tail of the spanSet in a single field.
	// The head and the tail both represent an index into the logical
	// concatenation of all blocks, with the head always behind or
	// equal to the tail (indicating an empty set). This field is
	// always accessed atomically.
	//

        devices) {
  int64_t num_replicas = replicate.getN();
  assert(new_inputs.size() == num_replicas);

  // As model parallelism is not yet supported, we assume that all ops are
  // placed in logical core 0.
  // TODO(b/148913020): Remove this constraint once model parallelism is
  // supported.
  assert(devices.find(tensorflow::GetDeviceAliasForLogicalCore(0))
             ->getSecond()

}

def TPUShardingIdentificationPass : Pass<"tf-tpu-sharding-identification", "ModuleOp"> {
  let summary = "Identifies and handles inputs/outputs of TPU computation that is "
           "sharded across logical cores.";
  let constructor = "tensorflow::tf2xla::internal::CreateTPUShardingIdentificationPass()";
  let description = [{
    Bubbles up sharding configuration from `cluster_func` regions into

In Go asm, the last operand (right) is the target operand, but with PPC64 asm,
the first operand (left) is the target. The order of the remaining operands is
not consistent: in general opcodes with 3 operands that perform math or logical
operations have their operands in reverse order. Opcodes for vector instructions
and those with more than 3 operands usually have operands in the same order except

 * all threads. Note, however, that it does not guarantee fairness.
 *
 * <p>Rate limiters are often used to restrict the rate at which some physical or logical resource
 * is accessed. This is in contrast to {@link java.util.concurrent.Semaphore} which restricts the
 * number of concurrent accesses instead of the rate (note though that concurrency and rate are

	C_GOTADDR

	// TLS "var" in local exec mode: will become a constant offset from
	// thread local base that is ultimately chosen by the program linker.
	C_TLS_LE

	// TLS "var" in initial exec mode: will become a memory address (chosen
	// by the program linker) that the dynamic linker will fill with the
	// offset from the thread local base.
	C_TLS_IE

          (TF_TransposeOp $b, (TF_ConstOp (Get2DTransposePerm $transpose_b))),
          /*precision_config=*/(NullArrayAttr))>;

//===----------------------------------------------------------------------===//
// Logical & bitwise binary op patterns.
//===----------------------------------------------------------------------===//

class DirectLogicalBinaryPat<Op FromOp, Op ToOp>
  : Pat<(FromOp AnyTensor:$l, AnyTensor:$r),

  }

  /*
   * This class is used to serialize all ImmutableSet instances, except for
   * ImmutableEnumSet/ImmutableSortedSet, regardless of implementation type. It
   * captures their "logical contents" and they are reconstructed using public
   * static factories. This is necessary to ensure that the existence of a
   * particular implementation type is an implementation detail.
   */