`tf.entry_function` attribute will not be pruned, as such graphs/functions may
    have been imported from a V1 TensorFlow graph, where feeds/fetches/targets are
    not provided at certain stages of IR transformation (e.g. pre-placement).

    Option `ops-to-preserve` allows to specify ops that should not be pruned,
    regardless of their reachability.

    For example, the following:

			return
		}
	}
}

// AddWorker adds a replication worker to the pool.
// An optional pointer to a tracker that will be atomically
// incremented when operations are running can be provided.
func (p *ReplicationPool) AddWorker(input <-chan ReplicationWorkerOperation, opTracker *int32) {
	for {
		select {
		case <-p.ctx.Done():
			return
		case oi, ok := <-input:
			if !ok {

    return emitOptionalError(op.getLoc(), "Invalid data format provided");
  }

  const StringRef paddings = op.getPadding();
  tensorflow::Padding padding;
  auto padding_is_valid = GetPaddingFromString(paddings.str(), &padding);
  if (!padding_is_valid.ok()) {
    return emitOptionalError(op.getLoc(), "Invalid padding format provided");
  }

  // Verifies that,

// in the documentation and/or other materials provided with the
// distribution.
//     * Neither the name of Google Inc. nor the names of its
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS

// in the documentation and/or other materials provided with the
// distribution.
//     * Neither the name of Google Inc. nor the names of its
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS

  tensorflow::Padding padding;
  auto padding_is_valid = GetPaddingFromString(paddings.str(), &padding);
  if (!padding_is_valid.ok()) {
    return emitOptionalError(location, "invalid padding format provided");
  }

  // Output always have rank 4. All dimensions are initialized to
  // dynamic size and can be partially inferred.
  // TFL's conv2d is always NHWC format & the filter is OHWI.

// pod state that is tied to the lifetime of running containers. The next method invoked will be
// SyncTerminatedPod. This method is expected to return with the grace period provided and the
// provided context may be cancelled if the duration is exceeded. The method may also be interrupted
// with a context cancellation if the grace period is shortened by the user or the kubelet (such as

* The Kubelet now supports the `--require-kubeconfig` option which reads all client config from the provided `--kubeconfig` file and will cause the Kubelet to exit with error code 1 on error.  It also forces the Kubelet to use the server URL from the kubeconfig file rather than the  `--api-servers` flag.  Without this flag set, a failure to read the kubeconfig...

// in the documentation and/or other materials provided with the
// distribution.
//     * Neither the name of Google Inc. nor the names of its
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS

    auto padded_output_tensor_type = RankedTensorType::get(
        padded_output_tensor_shape, input_tensor_type.getElementType());

    // The pad values is provided as a const op.
    auto pad_value_const_op = rewriter.create<TFL::ConstOp>(
        loc, /*value=*/DenseIntElementsAttr::get(
            RankedTensorType::get({rank, 2}, rewriter.getIntegerType(32)),