message: disable int8 path when doing tracing
diff: @@ -13,27 +13,33 @@ def script_(obj, optimize=None, _frames_up=0, _rcb=None):
  jit_m = orig_script(obj, optimize=optimize, _frames_up=_frames_up+1, _rcb=_rcb)
  torch.jit.script = script_
  - mix_state = core.get_mix_bf16_fp32()
  + mix_state = torch.bfloat16 if core.get_mix_bf16_fp32() else torch.int8 if core.get_mix_int8_fp32() else None
  # Disable mix precision in model fusion, since mixed precision cannot
  # bring any benefits for inference, but will lead to loss of accuracy
  core.disable_mix_bf16_fp32()
  + core.disable_mix_int8_fp32()
  if core.get_jit_opt() and hasattr(jit_m, '_c'):
  jit_m = wrap_cpp_module(torch._C._jit_pass_fold_convbn(jit_m._c))
  - if mix_state:
  + if mix_state == torch.bfloat16:
  core.enable_mix_bf16_fp32()
  + elif mix_state == torch.int8:
  + core.enable_mix_int8_fp32()
  return jit_m
  def trace_(func, example_inputs, *args, **kwargs):
  # Disable mix precision. torch.jit.trace will check the traced output
  # against what is expected. Since mix precision will lead to
  # loss of accuracy, this will raise warning during torch.jit.trace
  - mix_state = core.get_mix_bf16_fp32()
  + mix_state = torch.bfloat16 if core.get_mix_bf16_fp32() else torch.int8 if core.get_mix_int8_fp32() else None
  core.disable_mix_bf16_fp32()
  + core.disable_mix_int8_fp32()
  jit_m = orig_trace(func, example_inputs, *args, **kwargs)
  if core.get_jit_opt() and hasattr(jit_m, '_c'):
  jit_m = wrap_cpp_module(torch._C._jit_pass_fold_convbn(jit_m._c))
  - if mix_state:
  + if mix_state == torch.bfloat16:
  core.enable_mix_bf16_fp32()
  + elif mix_state == torch.int8:
  + core.enable_mix_int8_fp32()
  return jit_m
  