dltensor_in->dtype = {kDLFloat, 32, 1};
  dltensor_in->shape = shape.data();
  dltensor_in->strides = strides.data();
  TFE_TensorHandle* handle = TFE_HandleFromDLPack(&dlm_in, status, ctx);
  ASSERT_NE(handle, nullptr)
      << TF_Message(status) << " (shape=[" << absl::StrJoin(shape, ",")
      << "], strides=[" << absl::StrJoin(strides, ",") << "])";

  auto* dlm_out =

  // 1) nullptr indicates tensor is compact and row-majored.
  // 2) fill in the strides array as the real case for compact row-major data.
  // Here we choose option 2, since some frameworks didn't handle the strides
  // argument properly.
  dlm_tensor->dl_tensor.strides = stride_arr->data();

  dlm_tensor->dl_tensor.byte_offset =
      0;  // TF doesn't handle the strides and byte_offsets here
  return static_cast<void*>(dlm_tensor);
}

  TF_DeleteTensor(tensor);
  TFE_DeleteTensorHandle(tensor_handle);

  std::vector<int64_t> values(4, 1);
  TFE_OpSetAttrIntList(op, "ksize", values.data(), values.size());
  TFE_OpSetAttrIntList(op, "strides", values.data(), values.size());

  const int BUFFER_SIZE = 10;
  char buffer[BUFFER_SIZE];
  std::strncpy(buffer, "VALID", BUFFER_SIZE);
  TFE_OpSetAttrString(op, "padding", buffer, std::strlen(buffer));

  }

  /**
   * Creates a {@code Striped<Lock>} with eagerly initialized, strongly referenced locks. Every lock
   * is reentrant.
   *
   * @param stripes the minimum number of stripes (locks) required
   * @return a new {@code Striped<Lock>}
   */
  public static Striped<Lock> lock(int stripes) {
    return custom(stripes, PaddedLock::new);
  }

  /**

import org.slf4j.LoggerFactory;

import jcifs.Configuration;
import jcifs.RuntimeCIFSException;


/**
 * @author mbechler
 *
 */
public final class Strings {

    private static final Logger log = LoggerFactory.getLogger(Strings.class);

    private static final Charset UNI_ENCODING = Charset.forName("UTF-16LE");
    private static final Charset ASCII_ENCODING = Charset.forName("US-ASCII");

  public void testBasicInvariants() {
    for (Striped<?> striped : allImplementations()) {
      assertBasicInvariants(striped);
    }
  }

  private static void assertBasicInvariants(Striped<?> striped) {
    Set<Object> observed = Sets.newIdentityHashSet(); // for the sake of weakly referenced locks.
    // this gets the stripes with #getAt(index)

  public void testBasicInvariants() {
    for (Striped<?> striped : allImplementations()) {
      assertBasicInvariants(striped);
    }
  }

  private static void assertBasicInvariants(Striped<?> striped) {
    Set<Object> observed = Sets.newIdentityHashSet(); // for the sake of weakly referenced locks.
    // this gets the stripes with #getAt(index)

Yuri Schimke <******@****.***> 1703342811 +0000

    *   New endpoints in tf.strings namespace: `tf.strings.join` (corresponds to
        `tf.string_join`), `tf.strings.regex_replace`, `tf.strings.to_number`
        (corresponds to `tf.string_to_number`), `tf.strings.strip` (corresponds
        to `tf.string_strip`), `tf.strings.substr`, `tf.strings.to_hash_bucket`
        (corresponds to `tf.string_to_hash_bucket`),
        `tf.strings.to_hash_bucket_fast` (corresponds to

	}
	return
}

func testReadLine(t *testing.T, input []byte) {
	for stride := 1; stride < 2; stride++ {
		done := 0
		reader := testReader{input, stride}
		l := NewReaderSize(&reader, len(input)+1)
		for {
			line, isPrefix, err := l.ReadLine()
			if len(line) > 0 && err != nil {
				t.Errorf("ReadLine returned both data and error: %s", err)
			}
			if isPrefix {
				t.Errorf("ReadLine returned prefix")