code: def _get_default_config(
      cfg, data, kernel, strides, padding, dilation, out_dtype
  ):
      """
      Get default int8 schedule config for the workload
      """
      wkl = _get_conv2d_workload(
          data, kernel, strides, padding, dilation, out_dtype
      )
      is_kernel_1x1 = wkl.kernel_h == 1 and wkl.kernel_w == 1
      if is_kernel_1x1:
          conv2d_generic.fallback_schedule_cpu_1x1_int8(
              cfg, wkl, int32_lanes=4, num_int8_elements=4
          )
      else:
          conv2d_generic.fallback_schedule_cpu_common_int8(
              cfg, wkl, int32_lanes=4, num_int8_elements=4
          )
  
imports: from tvm import te, target, autotvm
  from ..utils import traverse_inline, get_const_tuple
  from ..generic import conv2d
  from ..None import nn
  from ...target import codegen
  from ..nn.conv2d import _get_workload, unpack_NCHWc_to_nchw
  from ..x86.conv2d_int8 import _pack_data
  from ..nn.utils import get_pad_tuple
  from .tensor_intrin import dot_int8_int8_int32_neon_82, dot_int8_int8_int32_neon
  from .conv2d import compute_conv2d_NHWC, compute_conv2d_NHWC_without_transform, schedule_conv2d_NHWC
label_desc: Use image node_id 1 for calling a global function with example usage: _get_default_config(cfg, data, kernel, strides, padding, dilation, out_dtype) without return types