strange result of linear combinations mode

[ChiFang]

In order to make final layer (soft argmin) don't limits the output value.
I use linear combinations to predict. (my result is good with your pre-trained model in softargmin)

my hyperparams:
{
"max_disp": 64,
"base_num_filters": 32,
"first_kernel_size": 5,
"kernel_size": 3,
"num_res": 8,
"num_down_conv": 4,
"resnet": 1,
"output": "linear",
"act_func": "relu",
"h_act_func": "sigmoid",
"ds_stride": 2,
"padding": "same",
"data_format": "channels_last"
}

but the result is very strange. I print out the shape and min max

Shape: (1, 320, 320)
Min: -37094.2 Max 4468.41
Shape After squeeze: (320, 320)

It seems the output range of GCNetwork is wrong....

Any suggestion?
Thanks,
Fang