test_gelu_uint8
tengine-lite library version: 1.5-dev
input_scale = 0.058824, input_zero_point = 51
output_scale = 0.050980, output_zero_point = 20
input_tensor buffer_size = 16, in_data_size = 16
graph node_num 2 tensor_num: 2  subgraph_num: 1
graph layout: NCHW model layout: NCHW model_format: tengine

node: 0 op: InputOp name: input_1
        output tensors: 1
            0: [id: 0] input_1 type: uint8/input shape: [1,16] from node: 0 (consumer: 1)

node: 1 op: Gelu name: gelu_1
        input tensors: 1
            0: [id: 0] input_1 type: uint8/input shape: [1,16] from node: 0 (consumer: 1)
        output tensors: 1
            0: [id: 1] gelu_1 type: uint8/var shape: [1,16] from node: 1

graph inputs: 1
        input_1
graph outputs: 1
        gelu_1
-4 -3.5 -3 -2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5 3 3.5 
0 0 0 9 17 26 34 43 51 60 68 77 85 94 102 111 
20 20 20 20 19 18 17 17 20 27 37 48 58 69 79 89 
0 0 0 0 -0.05098 -0.102 -0.1529 -0.1529 0 0.3569 0.8667 1.427 1.937 2.498 3.008 3.518 
All Done!