code: def frombuffer(
      buffer: bytes,
      dtype: Optional[Union[ivy.Dtype, ivy.NativeDtype]] = None,
      count: Optional[int] = -1,
      offset: Optional[int] = 0,
  ) -> ivy.Array:
      r"""Interpret a buffer as a 1-dimensional array.
  
      .. note::
          Note that either of the following must be true:
          1. count is a positive non-zero number, and the total number of bytes
          in the buffer is equal or greater than offset plus count times the size
          (in bytes) of dtype.
          2. count is negative, and the length (number of bytes) of the buffer
          subtracted by the offset is a multiple of the size (in bytes) of dtype.
  
      Parameters
      ----------
      buffer
          An object that exposes the buffer interface.
      dtype
          Data-type of the returned array; default: float.
      count
          Number of items to read. -1 means all data in the buffer.
      offset
          Start reading the buffer from this offset (in bytes); default: 0.
  
      Returns
      -------
      out
          1-dimensional array.
  
      Examples
      --------
      With :class:`bytes` inputs:
  
      >>> x = b'\x00\x00\x00\x00\x00\x00\xf0?\x00\x00\x00\x00\x00\x00\x00@'
      >>> y = ivy.frombuffer(x, dtype=ivy.float64)
      >>> print(y)
      ivy.array([1., 2.])
  
      >>> x = b'\x01\x02\x03\x04'
      >>> y = ivy.frombuffer(x, dtype='int8', count=-2, offset=1)
      >>> print(y)
      ivy.array([2, 3, 4])
  
      >>> x = b'\x00<\x00@\x00B\x00D\x00E'
      >>> y = ivy.frombuffer(x, dtype='float16', count=4, offset=2)
      >>> print(y)
      ivy.array([2., 3., 4., 5.])
      """
      return current_backend().frombuffer(
          buffer,
          dtype=dtype,
          count=count,
          offset=offset,
      )
  
imports: from __future__ import annotations
  import functools
  from numbers import Number
  from typing import Union, Tuple, Optional, List, Sequence, Callable, Protocol, TypeVar, Iterable
  import numpy
  import ivy
  from ivy import to_ivy
  from ivy.utils.exceptions import handle_exceptions
  from ivy.utils.backend import current_backend
  from ivy.func_wrapper import handle_array_function, infer_dtype, handle_out_argument, outputs_to_ivy_arrays, inputs_to_native_arrays, inputs_to_native_shapes, to_native_arrays_and_back, handle_nestable, handle_array_like_without_promotion, handle_device, handle_backend_invalid, temp_asarray_wrapper
label_desc: Use image node_id 31 for calling a global function with example usage: frombuffer(buffer, dtype, count, offset) and returns: current_backend