code: def asarray(value, dtype=None):
      """
      Converts a Value object to a sequence of NumPy arrays (if dense) or CSR arrays (if sparse).
      """
      if hasattr(value, "asarray"):
          value = value.asarray()
      else:
          orig_type = type(value)
          value = np.asarray(value)
          if value.dtype == object:
              raise ValueError(
                  "could not convert instance of type %s to "
                  "an array" % orig_type
              )
      if dtype is not None:
          return value.astype(dtype)
  
imports: import warnings
  import numbers
  import numpy
  from scipy import sparse
  from .None import cntk_py
  from .device import use_default_device, cpu, DeviceKind
  from cntk.internal import typemap
  from cntk.internal.sanitize import sanitize_batch, _sparse_to_dense_network_cache, data_type_to_dtype
label_desc: Use image node_id 3 for calling a global function with example usage: asarray(value, dtype) and returns: value