code: def apply_with_fp32_fallback(
      data, input_scale, input_zero_point, func_fp32
  ):
      dequantized = relay.qnn.op.dequantize(
          data, input_scale, input_zero_point
      )
      out = func_fp32(dequantized)
      return relay.qnn.op.quantize(
          out, input_scale, input_zero_point, out_dtype="uint8", axis=1
      )
  
imports: import numpy
  import tvm
  from tvm import relay
  from tvm.relay import expr
  from tvm.relay import op
  from tvm.relay.frontend.common import infer_shape
  from .common import logger
  from .pytorch_utils import is_version_greater_than
label_desc: Use image node_id 16 for calling a global function with example usage: apply_with_fp32_fallback(data, input_scale, input_zero_point, func_fp32) and returns: relay