about the onnx tensort int8

win10
tensorRT5.1.5.
I want to use onnx int8 without calibration method .something i want to make sure about getting the dynamic range. I train a model use pytorch and export to onnx then run it on tensor RT.
First, when I run the model in pytorch as follow:
model = detection_net()
model.load_state_dict(torch.load(‘detection_net_epoch200.pth’))


def get_features_hook(self,input,output):
print(output.min(),output.max())
model.layer[1].register_forward_hook(get_features_hook)
a = model(input_img)


the output of get_features_hook is the dynamic range?
Second, in the sample of sampleINT8API(D:\TensorRT-5.1.5.0\samples),resnet50_per_tensor_dynamic_range.txt,

gpu_0/conv1_1:5.43116007373
gpu_0/res_conv1_bn_1:8.69735834748
gpu_0/res_conv1_bn_2:8.69735834748

the content of this txt such as: gpu_0/res_conv1_bn_1:8.69735834748, 8.69735834748 is the ynamic range? max or -max,which is it?
I’m a beginner of TensorRT, maybe these questions are too elementary.