"Unsupported byte_offset (", dl_tensor->byte_offset,
        ") from DLPack, must be zero");
    return nullptr;
  }

  size_t total_bytes = dl_tensor->dtype.bits / 8;
  for (int i = 0; i < num_dims; i++) {
    total_bytes *= dims[i];
  }

  if (dl_tensor->strides != nullptr &&
      !IsValidStrideCompactRowMajorData(dl_tensor->shape, dl_tensor->strides,

  }

  private static void assertReadableBytes(HashCode hashCode) {
    assertTrue(hashCode.bits() >= 32); // sanity
    byte[] hashBytes = hashCode.asBytes();
    int totalBytes = hashCode.bits() / 8;

    for (int bytes = 0; bytes < totalBytes; bytes++) {
      byte[] bb = new byte[bytes];
      hashCode.writeBytesTo(bb, 0, bb.length);

      assertTrue(Arrays.equals(Arrays.copyOf(hashBytes, bytes), bb));
    }
  }

  }

  private static void assertReadableBytes(HashCode hashCode) {
    assertTrue(hashCode.bits() >= 32); // sanity
    byte[] hashBytes = hashCode.asBytes();
    int totalBytes = hashCode.bits() / 8;

    for (int bytes = 0; bytes < totalBytes; bytes++) {
      byte[] bb = new byte[bytes];
      hashCode.writeBytesTo(bb, 0, bb.length);

      assertTrue(Arrays.equals(Arrays.copyOf(hashBytes, bytes), bb));
    }
  }

    return 0;
  }
  const tensorflow::Tensor* tensor;
  status->status = handle->Tensor(&tensor);
  if (!status->status.ok()) {
    return 0;
  }
  return tensor->TotalBytes();
}

TFE_Op* TFE_NewOp(TFE_Context* ctx, const char* op_or_function_name,
                  TF_Status* status) {
  tensorflow::ImmediateExecutionOperation* new_op =