virtual ImmediateExecutionContext* GetContext() const = 0;

  // Following two methods are used to support custom device.
  // Return true if the inputs contain custom device tensor handle. It means
  // that the argument need to be handled by a custom device.
  virtual bool HasCustomDeviceInput() const = 0;

  virtual const tensorflow::OpDef* OpDef() const = 0;

    }

    @Test
    void testAdvance() {
        ndrBuffer.advance(10);
        assertEquals(10, ndrBuffer.getIndex());
        assertEquals(10, ndrBuffer.getLength());

        ndrBuffer.advance(5);
        assertEquals(15, ndrBuffer.getIndex());
        assertEquals(15, ndrBuffer.getLength());

        // Advance past current length
        ndrBuffer.setLength(10);
        ndrBuffer.setIndex(10);

  // Returns the device which created the handle.
  virtual const char* DeviceName(absl::Status* status) const = 0;
  // Returns the device where the tensor was placed.
  virtual const char* BackingDeviceName(absl::Status* status) const = 0;
  // Returns the device type which created the handle.
  virtual const char* DeviceType(absl::Status* status) const = 0;
  // Returns the device ID which created the handle.

                _dst = _dst.deferred;
                final int _arrays = count;
                _dst.enc_ndr_long(_arrays);
                final int _arrayi = _dst.index;
                _dst.advance(4 * _arrays);

                _dst = _dst.derive(_arrayi);
                for (int _i = 0; _i < _arrays; _i++) {
                    array[_i].encode(_dst);
                }
            }
        }

	scanner := bufio.NewScanner(strings.NewReader(input))
	// Create a custom split function by wrapping the existing ScanWords function.
	split := func(data []byte, atEOF bool) (advance int, token []byte, err error) {
		advance, token, err = bufio.ScanWords(data, atEOF)
		if err == nil && token != nil {
			_, err = strconv.ParseInt(string(token), 10, 32)
		}
		return
	}

// Create a variable handle with name `variable_name` on a device with name
// `device_name`.
TFE_TensorHandle* CreateVarHandle(TFE_Context* ctx,
                                  const tensorflow::string& device_name,
                                  const tensorflow::string& variable_name);

// Create a variable with value `value` and name `variable_name` on a device
// with name `device_name`.

  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  const DLTensor* dltensor_out = &dlm_out->dl_tensor;
  EXPECT_EQ(dltensor_out->device.device_type, dltensor_in->device.device_type);
  EXPECT_EQ(dltensor_out->device.device_id, dltensor_in->device.device_id);
  EXPECT_EQ(dltensor_out->ndim, dltensor_in->ndim);
  EXPECT_EQ(dltensor_out->dtype.code, dltensor_in->dtype.code);

            throw e;
        }

    }

    private FileEntry open() throws CIFSException {
        this.treeHandle.send(this.request, this.response);
        checkStatus();
        final FileEntry n = advance();
        if (n == null) {
            doClose();
        }
        return n;
    }

    /**
     * @throws SmbException
     */
    private void checkStatus() throws SmbException {

                _dst.enc_ndr_long(_name_buffers);
                _dst.enc_ndr_long(0);
                _dst.enc_ndr_long(_name_bufferl);
                final int _name_bufferi = _dst.index;
                _dst.advance(2 * _name_bufferl);

                _dst = _dst.derive(_name_bufferi);
                for (int _i = 0; _i < _name_bufferl; _i++) {
                    _dst.enc_ndr_short(name.buffer[_i]);
                }

  }
  absl::Status s;
  const char* device_name = DeviceName(&s);
  if (!s.ok()) {
    device_name = "<error fetching device name>";
  }
  return absl::StrCat("TensorHandle(", value_string, ", shape=", shape_string,
                      ", dtype=", DataType_Name(DataType()), ", device=\"",
                      device_name, "\")");
}

absl::Status ImmediateExecutionTensorHandle::SummarizeValue(