code: def conv2d_nchw(data, kernel, strides, padding, dilation, out_dtype):
      layout = "NCHW"
      packed_out = conv2d_NCHWc(
          data,
          kernel,
          strides,
          padding,
          dilation,
          layout,
          layout,
          out_dtype,
      )
      return unpack_NCHWc_to_nchw(packed_out, out_dtype)
  
imports: import logging
  import tvm
  from tvm import te
  from tvm import autotvm
  from tvm.contrib import dnnl
  from ..None import nn
  from ..generic import schedule_extern
  from ..nn.conv2d import conv2d_infer_layout, _get_workload
  from ..nn.conv2d import unpack_NCHWc_to_nchw
  from ..nn.depthwise_conv2d import _get_workload
  from ..nn.utils import get_pad_tuple
  from ..utils import get_const_tuple, traverse_inline
  from .None import conv2d_avx_1x1, conv2d_avx_common
label_desc: Use image node_id 4 for calling a global function with example usage: conv2d_nchw(data, kernel, strides, padding, dilation, out_dtype) and returns: unpack_NCHWc_to_nchw