absval

y = abs(x)

batchnorm

y = (x - mean) / sqrt(var + eps) * slope + bias

param id	name	type	default
0	channels	int	0
1	eps	float	0.f

y = clamp(x, min, max)

param id	name	type	default
0	min	float	-FLT_MAX
1	max	float	FLT_MAX

y = concat(x0, x1, x2, ...) by axis

param id	name	type	default
0	axis	int	0

x2 = pad(x, pads, pad_value)
x3 = conv(x2, weight, kernel, stride, dilation) + bias
y = activation(x3, act_type, act_params)

param id	name	type	default
0	num_output	int	0
1	kernel_w	int	0
2	dilation_w	int	1
3	stride_w	int	1
4	pad_left	int	0
5	bias_term	int	0
6	weight_data_size	int	0
8	int8_scale_term	int	0
9	activation_type	int	0
10	activation_params	array	[ ]
11	kernel_h	int	kernel_w
12	dilation_h	int	dilation_w
13	stride_h	int	stride_w
15	pad_right	int	pad_left
14	pad_top	int	pad_left
16	pad_bottom	int	pad_top
18	pad_value	float	0.f

weight	type
weight_data	float/fp16/int8
bias_data	float