TF_RETURN_IF_ERROR(operation->SetAttrType("dtype", dtype));
    if (!shape.unknown_rank()) {
      TF_RETURN_IF_ERROR(operation->SetAttrShape(
          "shape", reinterpret_cast<int64_t*>(shape.dim_sizes().data()),
          shape.dims()));
    }
    int num_outputs = 1;
    std::vector<AbstractTensorHandle*> outputs(num_outputs);
    TF_RETURN_IF_ERROR(operation->Execute(

        if ( ( shareAccess & SmbConstants.FILE_SHARE_READ ) != 0 && ( shareAccess & SmbConstants.FILE_SHARE_WRITE ) != 0 ) {
            this.desiredAccess |= SHARING_DENY_NONE;
        }
        else if ( shareAccess == SmbConstants.FILE_NO_SHARE ) {
            this.desiredAccess |= SHARING_DENY_READ_WRITE_EXECUTE;
        }
        else if ( ( shareAccess & SmbConstants.FILE_SHARE_WRITE ) == 0 ) {

    if (shapes_and_types == nullptr) return nullptr;

    for (const auto& p : *shapes_and_types) {
      auto* out_shape_and_type = handle_data.add_shape_and_type();
      ic->ShapeHandleToProto(p.shape, out_shape_and_type->mutable_shape());
      out_shape_and_type->set_dtype(p.dtype);
      *out_shape_and_type->mutable_type() = p.type;
    }
  }
  string str_data;
  handle_data.SerializeToString(&str_data);

    return nullptr;
  }
  tensorflow::PartialTensorShape partial_shape;
  if (shape.num_dims != -1) {
    DCHECK(shape.dim_sizes != nullptr);
    Status status = tensorflow::PartialTensorShape::MakePartialShape(
        reinterpret_cast<int64_t*>(shape.dim_sizes), shape.num_dims,
        &partial_shape);
    if (!status.ok()) {
      tsl::Set_TF_Status_from_Status(s, status);
      return nullptr;

TF_CAPI_EXPORT extern void TF_DeleteShapeAndTypeListArray(
    TF_ShapeAndTypeList** shape_list_array, int num_items);

// Infer shapes for the given `op`. The arguments mimic the arguments of the
// `shape_inference::InferenceContext` constructor. Note the following:
//   - The inputs of the `op` are not used for shape inference. So, it is
//     OK to not have the inputs properly set in `op`. See `input_tensors`

     */
    SmbTransport getTransport ();


    /**
     * Connect to the logon share
     * 
     * @throws SmbException
     */
    void treeConnectLogon () throws SmbException;


    /**
     * @param share
     * @param service
     * @return tree instance
     */
    SmbTree getSmbTree ( String share, String service );


    /**
     * Initiate reauthentication
     * 

package jcifs.smb1.smb1;

import java.util.Map;

public class DfsReferral extends SmbException {

    public int pathConsumed;
    public long ttl;
    public String server;   // Server
    public String share;    // Share
    public String link;
    public String path;     // Path relative to tree from which this referral was thrown
    public boolean resolveHashes;
    public long expiration;

    DfsReferral next;
    Map map;

  std::vector<int64_t>* shape_arr = &tf_dlm_tensor_ctx->shape;
  std::vector<int64_t>* stride_arr = &tf_dlm_tensor_ctx->strides;
  shape_arr->resize(ndim);
  stride_arr->resize(ndim, 1);
  for (int i = 0; i < ndim; i++) {
    (*shape_arr)[i] = tensor->dim_size(i);
  }
  for (int i = ndim - 2; i >= 0; --i) {
    (*stride_arr)[i] = (*shape_arr)[i + 1] * (*stride_arr)[i + 1];
  }

      TF_ASSERT_OK(s);

      EXPECT_EQ(DT_FLOAT, in_props.dtype());
      EXPECT_FALSE(in_props.shape().unknown_rank());
      EXPECT_EQ(2, in_props.shape().dim_size());
      EXPECT_EQ(10, in_props.shape().dim(0).size());
      EXPECT_EQ(1, in_props.shape().dim(1).size());

      for (int i = 0; i < in_props_buf.size(); i++)
        TF_DeleteBuffer(in_props_buf[i]);
    }
  }

     * <code>null</code> will be returned.
     *
     * @return The share component or <code>null</code> if there is no share
     */
    String getShare ();


    /**
     * Retrieve the hostname of the server for this SMB resource. If the resources has been resolved by DFS this will
     * return the target name.
     * 
     * @return The server name
     */