TensorFlow Lite Model

filenamemediapipe\mediapipe\models\ssdlite_object_detection.tflite
version3
description[84, 79, 67, 79, 32, 67, 111, 110, 118, 101, 114, 116, 101, 100, 46]

Subgraph 0

Inputs/Outputs

inputsoutputs
301 normalized_input_image_tensor FLOAT32 [1, 320, 320, 3]None
[301]		 302 raw_outputs/box_encodings FLOAT32 [1, 2034, 4]None
303 raw_outputs/class_predictions FLOAT32 [1, 2034, 91]None
[302, 303]

Tensors

indexnametypeshapeshape_signaturebufferquantization
0BoxPredictor_0/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 20, 20, 12] None 175 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
1BoxPredictor_0/BoxEncodingPredictor/Conv2D_bias FLOAT32 [12] None 74 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
2BoxPredictor_0/BoxEncodingPredictor/weights/read FLOAT32 [12, 1, 1, 288] None 75 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
3BoxPredictor_0/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 20, 20, 288] None 205 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
4BoxPredictor_0/BoxEncodingPredictor_depthwise/depthwise_bias FLOAT32 [288] None 76 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
5BoxPredictor_0/BoxEncodingPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 288] None 77 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
6BoxPredictor_0/ClassPredictor/BiasAdd FLOAT32 [1, 20, 20, 273] None 174 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
7BoxPredictor_0/ClassPredictor/Conv2D_bias FLOAT32 [273] None 93 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
8BoxPredictor_0/ClassPredictor/weights/read FLOAT32 [273, 1, 1, 288] None 73 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
9BoxPredictor_0/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 20, 20, 288] None 176 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
10BoxPredictor_0/ClassPredictor_depthwise/depthwise_bias FLOAT32 [288] None 133 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
11BoxPredictor_0/ClassPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 288] None 222 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
12BoxPredictor_0/Reshape FLOAT32 [1, 1200, 1, 4] None 232 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
13BoxPredictor_0/Reshape/shape INT32 [4] None 218 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
14BoxPredictor_0/Reshape_1 FLOAT32 [1, 1200, 91] None 171 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
15BoxPredictor_0/Reshape_1/shape INT32 [3] None 287 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
16BoxPredictor_1/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 10, 10, 24] None 203 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
17BoxPredictor_1/BoxEncodingPredictor/Conv2D_bias FLOAT32 [24] None 54 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
18BoxPredictor_1/BoxEncodingPredictor/weights/read FLOAT32 [24, 1, 1, 640] None 47 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
19BoxPredictor_1/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 10, 10, 640] None 161 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
20BoxPredictor_1/BoxEncodingPredictor_depthwise/depthwise_bias FLOAT32 [640] None 51 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
21BoxPredictor_1/BoxEncodingPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 640] None 239 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
22BoxPredictor_1/ClassPredictor/BiasAdd FLOAT32 [1, 10, 10, 546] None 159 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
23BoxPredictor_1/ClassPredictor/Conv2D_bias FLOAT32 [546] None 45 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
24BoxPredictor_1/ClassPredictor/weights/read FLOAT32 [546, 1, 1, 640] None 46 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
25BoxPredictor_1/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 10, 10, 640] None 160 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
26BoxPredictor_1/ClassPredictor_depthwise/depthwise_bias FLOAT32 [640] None 49 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
27BoxPredictor_1/ClassPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 640] None 50 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
28BoxPredictor_1/Reshape FLOAT32 [1, 600, 1, 4] None 262 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
29BoxPredictor_1/Reshape/shape INT32 [4] None 183 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
30BoxPredictor_1/Reshape_1 FLOAT32 [1, 600, 91] None 157 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
31BoxPredictor_1/Reshape_1/shape INT32 [3] None 191 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
32BoxPredictor_2/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 5, 5, 24] None 263 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
33BoxPredictor_2/BoxEncodingPredictor/Conv2D_bias FLOAT32 [24] None 288 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
34BoxPredictor_2/BoxEncodingPredictor/weights/read FLOAT32 [24, 1, 1, 256] None 36 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
35BoxPredictor_2/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 5, 5, 256] None 156 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
36BoxPredictor_2/BoxEncodingPredictor_depthwise/depthwise_bias FLOAT32 [256] None 124 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
37BoxPredictor_2/BoxEncodingPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 256] None 41 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
38BoxPredictor_2/ClassPredictor/BiasAdd FLOAT32 [1, 5, 5, 546] None 300 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
39BoxPredictor_2/ClassPredictor/Conv2D_bias FLOAT32 [546] None 190 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
40BoxPredictor_2/ClassPredictor/weights/read FLOAT32 [546, 1, 1, 256] None 234 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
41BoxPredictor_2/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 5, 5, 256] None 155 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
42BoxPredictor_2/ClassPredictor_depthwise/depthwise_bias FLOAT32 [256] None 39 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
43BoxPredictor_2/ClassPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 256] None 40 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
44BoxPredictor_2/Reshape FLOAT32 [1, 150, 1, 4] None 173 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
45BoxPredictor_2/Reshape/shape INT32 [4] None 202 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
46BoxPredictor_2/Reshape_1 FLOAT32 [1, 150, 91] None 276 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
47BoxPredictor_2/Reshape_1/shape INT32 [3] None 213 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
48BoxPredictor_3/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 3, 3, 24] None 264 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
49BoxPredictor_3/BoxEncodingPredictor/Conv2D_bias FLOAT32 [24] None 118 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
50BoxPredictor_3/BoxEncodingPredictor/weights/read FLOAT32 [24, 1, 1, 128] None 25 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
51BoxPredictor_3/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 3, 3, 128] None 151 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
52BoxPredictor_3/BoxEncodingPredictor_depthwise/depthwise_bias FLOAT32 [128] None 30 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
53BoxPredictor_3/BoxEncodingPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 128] None 31 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
54BoxPredictor_3/ClassPredictor/BiasAdd FLOAT32 [1, 3, 3, 546] None 149 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
55BoxPredictor_3/ClassPredictor/Conv2D_bias FLOAT32 [546] None 193 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
56BoxPredictor_3/ClassPredictor/weights/read FLOAT32 [546, 1, 1, 128] None 24 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
57BoxPredictor_3/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 3, 3, 128] None 150 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
58BoxPredictor_3/ClassPredictor_depthwise/depthwise_bias FLOAT32 [128] None 28 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
59BoxPredictor_3/ClassPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 128] None 29 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
60BoxPredictor_3/Reshape FLOAT32 [1, 54, 1, 4] None 148 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
61BoxPredictor_3/Reshape/shape INT32 [4] None 207 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
62BoxPredictor_3/Reshape_1 FLOAT32 [1, 54, 91] None 147 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
63BoxPredictor_3/Reshape_1/shape INT32 [3] None 228 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
64BoxPredictor_4/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 2, 2, 24] None 145 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
65BoxPredictor_4/BoxEncodingPredictor/Conv2D_bias FLOAT32 [24] None 13 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
66BoxPredictor_4/BoxEncodingPredictor/weights/read FLOAT32 [24, 1, 1, 128] None 14 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
67BoxPredictor_4/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 2, 2, 128] None 254 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
68BoxPredictor_4/BoxEncodingPredictor_depthwise/depthwise_bias FLOAT32 [128] None 18 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
69BoxPredictor_4/BoxEncodingPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 128] None 19 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
70BoxPredictor_4/ClassPredictor/BiasAdd FLOAT32 [1, 2, 2, 546] None 144 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
71BoxPredictor_4/ClassPredictor/Conv2D_bias FLOAT32 [546] None 11 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
72BoxPredictor_4/ClassPredictor/weights/read FLOAT32 [546, 1, 1, 128] None 12 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
73BoxPredictor_4/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 2, 2, 128] None 211 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
74BoxPredictor_4/ClassPredictor_depthwise/depthwise_bias FLOAT32 [128] None 227 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
75BoxPredictor_4/ClassPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 128] None 17 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
76BoxPredictor_4/Reshape FLOAT32 [1, 24, 1, 4] None 163 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
77BoxPredictor_4/Reshape/shape INT32 [4] None 189 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
78BoxPredictor_4/Reshape_1 FLOAT32 [1, 24, 91] None 142 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
79BoxPredictor_4/Reshape_1/shape INT32 [3] None 180 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
80BoxPredictor_5/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 1, 1, 24] None 212 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
81BoxPredictor_5/BoxEncodingPredictor/Conv2D_bias FLOAT32 [24] None 2 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
82BoxPredictor_5/BoxEncodingPredictor/weights/read FLOAT32 [24, 1, 1, 64] None 3 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
83BoxPredictor_5/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 1, 1, 64] None 140 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
84BoxPredictor_5/BoxEncodingPredictor_depthwise/depthwise_bias FLOAT32 [64] None 7 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
85BoxPredictor_5/BoxEncodingPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 64] None 8 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
86BoxPredictor_5/ClassPredictor/BiasAdd FLOAT32 [1, 1, 1, 546] None 139 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
87BoxPredictor_5/ClassPredictor/Conv2D_bias FLOAT32 [546] None 6 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
88BoxPredictor_5/ClassPredictor/weights/read FLOAT32 [546, 1, 1, 64] None 258 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
89BoxPredictor_5/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 1, 1, 64] None 186 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
90BoxPredictor_5/ClassPredictor_depthwise/depthwise_bias FLOAT32 [64] None 4 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
91BoxPredictor_5/ClassPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 64] None 5 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
92BoxPredictor_5/Reshape FLOAT32 [1, 6, 1, 4] None 217 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
93BoxPredictor_5/Reshape/shape INT32 [4] None 251 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
94BoxPredictor_5/Reshape_1 FLOAT32 [1, 6, 91] None 137 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
95BoxPredictor_5/Reshape_1/shape INT32 [3] None 253 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
96FeatureExtractor/MobilenetV2/Conv/Conv2D_bias FLOAT32 [16] None 220 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
97FeatureExtractor/MobilenetV2/Conv/Relu6 FLOAT32 [1, 160, 160, 16] None 245 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
98FeatureExtractor/MobilenetV2/Conv/weights/read FLOAT32 [16, 3, 3, 3] None 132 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
99FeatureExtractor/MobilenetV2/Conv_1/Conv2D_bias FLOAT32 [640] None 247 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
100FeatureExtractor/MobilenetV2/Conv_1/Relu6 FLOAT32 [1, 10, 10, 640] None 257 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
101FeatureExtractor/MobilenetV2/Conv_1/weights/read FLOAT32 [640, 1, 1, 160] None 55 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
102FeatureExtractor/MobilenetV2/expanded_conv/add FLOAT32 [1, 160, 160, 16] None 269 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
103FeatureExtractor/MobilenetV2/expanded_conv/depthwise/Relu6 FLOAT32 [1, 160, 160, 16] None 266 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
104FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise_bias FLOAT32 [16] None 131 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
105FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 16] None 236 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
106FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 160, 160, 16] None 267 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
107FeatureExtractor/MobilenetV2/expanded_conv/project/Conv2D_bias FLOAT32 [16] None 130 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
108FeatureExtractor/MobilenetV2/expanded_conv/project/weights/read FLOAT32 [16, 1, 1, 16] None 280 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
109FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/Relu6 FLOAT32 [1, 80, 80, 96] None 275 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
110FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise_bias FLOAT32 [96] None 291 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
111FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 96] None 127 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
112FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Conv2D_bias FLOAT32 [96] None 128 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
113FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Relu6 FLOAT32 [1, 160, 160, 96] None 272 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
114FeatureExtractor/MobilenetV2/expanded_conv_1/expand/weights/read FLOAT32 [96, 1, 1, 16] None 129 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
115FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 80, 80, 16] None 200 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
116FeatureExtractor/MobilenetV2/expanded_conv_1/project/Conv2D_bias FLOAT32 [16] None 125 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
117FeatureExtractor/MobilenetV2/expanded_conv_1/project/weights/read FLOAT32 [16, 1, 1, 96] None 126 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
118FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/Relu6 FLOAT32 [1, 20, 20, 192] None 216 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
119FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise_bias FLOAT32 [192] None 88 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
120FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 192] None 89 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
121FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Conv2D_bias FLOAT32 [192] None 90 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
122FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Relu6 FLOAT32 [1, 20, 20, 192] None 182 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
123FeatureExtractor/MobilenetV2/expanded_conv_10/expand/weights/read FLOAT32 [192, 1, 1, 32] None 91 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
124FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 48] None 208 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
125FeatureExtractor/MobilenetV2/expanded_conv_10/project/Conv2D_bias FLOAT32 [48] None 86 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
126FeatureExtractor/MobilenetV2/expanded_conv_10/project/weights/read FLOAT32 [48, 1, 1, 192] None 87 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
127FeatureExtractor/MobilenetV2/expanded_conv_11/add FLOAT32 [1, 20, 20, 48] None 302 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
128FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/Relu6 FLOAT32 [1, 20, 20, 288] None 281 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
129FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise_bias FLOAT32 [288] None 188 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
130FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 288] None 231 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
131FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Conv2D_bias FLOAT32 [288] None 85 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
132FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Relu6 FLOAT32 [1, 20, 20, 288] None 270 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
133FeatureExtractor/MobilenetV2/expanded_conv_11/expand/weights/read FLOAT32 [288, 1, 1, 48] None 242 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
134FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 48] None 279 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
135FeatureExtractor/MobilenetV2/expanded_conv_11/project/Conv2D_bias FLOAT32 [48] None 84 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
136FeatureExtractor/MobilenetV2/expanded_conv_11/project/weights/read FLOAT32 [48, 1, 1, 288] None 248 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
137FeatureExtractor/MobilenetV2/expanded_conv_12/add FLOAT32 [1, 20, 20, 48] None 240 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
138FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/Relu6 FLOAT32 [1, 20, 20, 288] None 304 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
139FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise_bias FLOAT32 [288] None 204 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
140FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 288] None 83 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
141FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Conv2D_bias FLOAT32 [288] None 256 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
142FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Relu6 FLOAT32 [1, 20, 20, 288] None 303 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
143FeatureExtractor/MobilenetV2/expanded_conv_12/expand/weights/read FLOAT32 [288, 1, 1, 48] None 250 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
144FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 48] None 179 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
145FeatureExtractor/MobilenetV2/expanded_conv_12/project/Conv2D_bias FLOAT32 [48] None 81 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
146FeatureExtractor/MobilenetV2/expanded_conv_12/project/weights/read FLOAT32 [48, 1, 1, 288] None 82 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
147FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/Relu6 FLOAT32 [1, 10, 10, 288] None 177 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
148FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise_bias FLOAT32 [288] None 78 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
149FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 288] None 79 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
150FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Conv2D_bias FLOAT32 [288] None 80 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
151FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6 FLOAT32 [1, 20, 20, 288] None 178 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
152FeatureExtractor/MobilenetV2/expanded_conv_13/expand/weights/read FLOAT32 [288, 1, 1, 48] None 181 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
153FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 10, 10, 80] None 172 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
154FeatureExtractor/MobilenetV2/expanded_conv_13/project/Conv2D_bias FLOAT32 [80] None 71 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
155FeatureExtractor/MobilenetV2/expanded_conv_13/project/weights/read FLOAT32 [80, 1, 1, 288] None 72 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
156FeatureExtractor/MobilenetV2/expanded_conv_14/add FLOAT32 [1, 10, 10, 80] None 167 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
157FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/Relu6 FLOAT32 [1, 10, 10, 480] None 197 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
158FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise_bias FLOAT32 [480] None 68 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
159FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 480] None 210 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
160FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Conv2D_bias FLOAT32 [480] None 69 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
161FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Relu6 FLOAT32 [1, 10, 10, 480] None 169 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
162FeatureExtractor/MobilenetV2/expanded_conv_14/expand/weights/read FLOAT32 [480, 1, 1, 80] None 70 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
163FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 10, 10, 80] None 168 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
164FeatureExtractor/MobilenetV2/expanded_conv_14/project/Conv2D_bias FLOAT32 [80] None 66 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
165FeatureExtractor/MobilenetV2/expanded_conv_14/project/weights/read FLOAT32 [80, 1, 1, 480] None 67 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
166FeatureExtractor/MobilenetV2/expanded_conv_15/add FLOAT32 [1, 10, 10, 80] None 296 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
167FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/Relu6 FLOAT32 [1, 10, 10, 480] None 219 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
168FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise_bias FLOAT32 [480] None 63 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
169FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 480] None 229 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
170FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Conv2D_bias FLOAT32 [480] None 64 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
171FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Relu6 FLOAT32 [1, 10, 10, 480] None 265 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
172FeatureExtractor/MobilenetV2/expanded_conv_15/expand/weights/read FLOAT32 [480, 1, 1, 80] None 65 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
173FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 10, 10, 80] None 166 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
174FeatureExtractor/MobilenetV2/expanded_conv_15/project/Conv2D_bias FLOAT32 [80] None 61 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
175FeatureExtractor/MobilenetV2/expanded_conv_15/project/weights/read FLOAT32 [80, 1, 1, 480] None 62 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
176FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/Relu6 FLOAT32 [1, 10, 10, 480] None 170 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
177FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise_bias FLOAT32 [480] None 58 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
178FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 480] None 273 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
179FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Conv2D_bias FLOAT32 [480] None 59 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
180FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Relu6 FLOAT32 [1, 10, 10, 480] None 164 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
181FeatureExtractor/MobilenetV2/expanded_conv_16/expand/weights/read FLOAT32 [480, 1, 1, 80] None 60 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
182FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 10, 10, 160] None 244 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
183FeatureExtractor/MobilenetV2/expanded_conv_16/project/Conv2D_bias FLOAT32 [160] None 56 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
184FeatureExtractor/MobilenetV2/expanded_conv_16/project/weights/read FLOAT32 [160, 1, 1, 480] None 57 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
185FeatureExtractor/MobilenetV2/expanded_conv_2/add FLOAT32 [1, 80, 80, 16] None 259 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
186FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/Relu6 FLOAT32 [1, 80, 80, 96] None 277 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
187FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise_bias FLOAT32 [96] None 260 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
188FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 96] None 121 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
189FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Conv2D_bias FLOAT32 [96] None 122 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
190FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Relu6 FLOAT32 [1, 80, 80, 96] None 225 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
191FeatureExtractor/MobilenetV2/expanded_conv_2/expand/weights/read FLOAT32 [96, 1, 1, 16] None 123 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
192FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 80, 80, 16] None 255 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
193FeatureExtractor/MobilenetV2/expanded_conv_2/project/Conv2D_bias FLOAT32 [16] None 119 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
194FeatureExtractor/MobilenetV2/expanded_conv_2/project/weights/read FLOAT32 [16, 1, 1, 96] None 120 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
195FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/Relu6 FLOAT32 [1, 40, 40, 96] None 209 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
196FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise_bias FLOAT32 [96] None 117 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
197FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 96] None 224 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
198FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Conv2D_bias FLOAT32 [96] None 185 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
199FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Relu6 FLOAT32 [1, 80, 80, 96] None 230 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
200FeatureExtractor/MobilenetV2/expanded_conv_3/expand/weights/read FLOAT32 [96, 1, 1, 16] None 221 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
201FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 40, 40, 16] None 241 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
202FeatureExtractor/MobilenetV2/expanded_conv_3/project/Conv2D_bias FLOAT32 [16] None 115 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
203FeatureExtractor/MobilenetV2/expanded_conv_3/project/weights/read FLOAT32 [16, 1, 1, 96] None 116 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
204FeatureExtractor/MobilenetV2/expanded_conv_4/add FLOAT32 [1, 40, 40, 16] None 226 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
205FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6 FLOAT32 [1, 40, 40, 96] None 195 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
206FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise_bias FLOAT32 [96] None 113 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
207FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 96] None 268 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
208FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D_bias FLOAT32 [96] None 206 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
209FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6 FLOAT32 [1, 40, 40, 96] None 278 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
210FeatureExtractor/MobilenetV2/expanded_conv_4/expand/weights/read FLOAT32 [96, 1, 1, 16] None 114 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
211FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 40, 40, 16] None 252 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
212FeatureExtractor/MobilenetV2/expanded_conv_4/project/Conv2D_bias FLOAT32 [16] None 112 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
213FeatureExtractor/MobilenetV2/expanded_conv_4/project/weights/read FLOAT32 [16, 1, 1, 96] None 184 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
214FeatureExtractor/MobilenetV2/expanded_conv_5/add FLOAT32 [1, 40, 40, 16] None 285 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
215FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/Relu6 FLOAT32 [1, 40, 40, 96] None 283 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
216FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise_bias FLOAT32 [96] None 109 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
217FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 96] None 110 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
218FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Conv2D_bias FLOAT32 [96] None 249 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
219FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Relu6 FLOAT32 [1, 40, 40, 96] None 282 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
220FeatureExtractor/MobilenetV2/expanded_conv_5/expand/weights/read FLOAT32 [96, 1, 1, 16] None 111 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
221FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 40, 40, 16] None 284 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
222FeatureExtractor/MobilenetV2/expanded_conv_5/project/Conv2D_bias FLOAT32 [16] None 293 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
223FeatureExtractor/MobilenetV2/expanded_conv_5/project/weights/read FLOAT32 [16, 1, 1, 96] None 108 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
224FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/Relu6 FLOAT32 [1, 20, 20, 96] None 289 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
225FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise_bias FLOAT32 [96] None 192 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
226FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 96] None 198 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
227FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Conv2D_bias FLOAT32 [96] None 106 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
228FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Relu6 FLOAT32 [1, 40, 40, 96] None 286 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
229FeatureExtractor/MobilenetV2/expanded_conv_6/expand/weights/read FLOAT32 [96, 1, 1, 16] None 107 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
230FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 32] None 290 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
231FeatureExtractor/MobilenetV2/expanded_conv_6/project/Conv2D_bias FLOAT32 [32] None 152 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
232FeatureExtractor/MobilenetV2/expanded_conv_6/project/weights/read FLOAT32 [32, 1, 1, 96] None 238 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
233FeatureExtractor/MobilenetV2/expanded_conv_7/add FLOAT32 [1, 20, 20, 32] None 294 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
234FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/Relu6 FLOAT32 [1, 20, 20, 192] None 301 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
235FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise_bias FLOAT32 [192] None 103 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
236FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 192] None 104 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
237FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Conv2D_bias FLOAT32 [192] None 105 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
238FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Relu6 FLOAT32 [1, 20, 20, 192] None 261 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
239FeatureExtractor/MobilenetV2/expanded_conv_7/expand/weights/read FLOAT32 [192, 1, 1, 32] None 299 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
240FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 32] None 292 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
241FeatureExtractor/MobilenetV2/expanded_conv_7/project/Conv2D_bias FLOAT32 [32] None 101 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
242FeatureExtractor/MobilenetV2/expanded_conv_7/project/weights/read FLOAT32 [32, 1, 1, 192] None 102 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
243FeatureExtractor/MobilenetV2/expanded_conv_8/add FLOAT32 [1, 20, 20, 32] None 271 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
244FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/Relu6 FLOAT32 [1, 20, 20, 192] None 187 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
245FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise_bias FLOAT32 [192] None 215 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
246FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 192] None 235 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
247FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Conv2D_bias FLOAT32 [192] None 100 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
248FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Relu6 FLOAT32 [1, 20, 20, 192] None 295 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
249FeatureExtractor/MobilenetV2/expanded_conv_8/expand/weights/read FLOAT32 [192, 1, 1, 32] None 237 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
250FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 32] None 214 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
251FeatureExtractor/MobilenetV2/expanded_conv_8/project/Conv2D_bias FLOAT32 [32] None 98 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
252FeatureExtractor/MobilenetV2/expanded_conv_8/project/weights/read FLOAT32 [32, 1, 1, 192] None 99 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
253FeatureExtractor/MobilenetV2/expanded_conv_9/add FLOAT32 [1, 20, 20, 32] None 298 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
254FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/Relu6 FLOAT32 [1, 20, 20, 192] None 201 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
255FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise_bias FLOAT32 [192] None 138 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
256FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 192] None 95 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
257FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Conv2D_bias FLOAT32 [192] None 96 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
258FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Relu6 FLOAT32 [1, 20, 20, 192] None 246 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
259FeatureExtractor/MobilenetV2/expanded_conv_9/expand/weights/read FLOAT32 [192, 1, 1, 32] None 97 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
260FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 32] None 297 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
261FeatureExtractor/MobilenetV2/expanded_conv_9/project/Conv2D_bias FLOAT32 [32] None 92 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
262FeatureExtractor/MobilenetV2/expanded_conv_9/project/weights/read FLOAT32 [32, 1, 1, 192] None 94 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
263FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_128/Conv2D_bias FLOAT32 [128] None 52 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
264FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_128/Relu6 FLOAT32 [1, 10, 10, 128] None 162 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
265FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_128/weights/read FLOAT32 [128, 1, 1, 640] None 53 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
266FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_64/Conv2D_bias FLOAT32 [64] None 42 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
267FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_64/Relu6 FLOAT32 [1, 5, 5, 64] None 233 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
268FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_64/weights/read FLOAT32 [64, 1, 1, 256] None 194 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
269FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_64/Conv2D_bias FLOAT32 [64] None 32 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
270FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_64/Relu6 FLOAT32 [1, 3, 3, 64] None 243 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
271FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_64/weights/read FLOAT32 [64, 1, 1, 128] None 33 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
272FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_32/Conv2D_bias FLOAT32 [32] None 20 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
273FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_32/Relu6 FLOAT32 [1, 2, 2, 32] None 146 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
274FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_32/weights/read FLOAT32 [32, 1, 1, 128] None 21 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
275FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_256/Conv2D_bias FLOAT32 [256] None 43 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
276FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_256/Relu6 FLOAT32 [1, 5, 5, 256] None 199 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
277FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_256/weights/read FLOAT32 [256, 1, 1, 128] None 44 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
278FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_256_depthwise/Relu6 FLOAT32 [1, 5, 5, 128] None 158 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
279FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_256_depthwise/depthwise_bias FLOAT32 [128] None 48 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
280FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_256_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 128] None 196 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
281FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_128/Conv2D_bias FLOAT32 [128] None 34 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
282FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_128/Relu6 FLOAT32 [1, 3, 3, 128] None 153 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
283FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_128/weights/read FLOAT32 [128, 1, 1, 64] None 35 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
284FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_128_depthwise/Relu6 FLOAT32 [1, 3, 3, 64] None 154 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
285FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_128_depthwise/depthwise_bias FLOAT32 [64] None 37 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
286FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_128_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 64] None 38 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
287FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_128/Conv2D_bias FLOAT32 [128] None 22 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
288FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_128/Relu6 FLOAT32 [1, 2, 2, 128] None 165 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
289FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_128/weights/read FLOAT32 [128, 1, 1, 64] None 23 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
290FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_128_depthwise/Relu6 FLOAT32 [1, 2, 2, 64] None 274 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
291FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_128_depthwise/depthwise_bias FLOAT32 [64] None 26 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
292FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_128_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 64] None 27 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
293FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_64/Conv2D_bias FLOAT32 [64] None 9 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
294FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_64/Relu6 FLOAT32 [1, 1, 1, 64] None 141 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
295FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_64/weights/read FLOAT32 [64, 1, 1, 32] None 10 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
296FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_64_depthwise/Relu6 FLOAT32 [1, 1, 1, 32] None 143 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
297FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_64_depthwise/depthwise_bias FLOAT32 [32] None 15 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
298FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_64_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 32] None 16 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
299Squeeze_shape INT32 [3] None 1 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
300concat_1 FLOAT32 [1, 2034, 1, 4] None 136 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
301normalized_input_image_tensor FLOAT32 [1, 320, 320, 3] None 223 {'details': None, 'details_type': 0, 'max': [255.0], 'min': [0.0], 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
302raw_outputs/box_encodings FLOAT32 [1, 2034, 4] None 134 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
303raw_outputs/class_predictions FLOAT32 [1, 2034, 91] None 135 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}

Ops

indexinputsoutputsbuiltin_optionsopcode_index
0301 normalized_input_image_tensor FLOAT32 [1, 320, 320, 3]None
98 FeatureExtractor/MobilenetV2/Conv/weights/read FLOAT32 [16, 3, 3, 3]None
96 FeatureExtractor/MobilenetV2/Conv/Conv2D_bias FLOAT32 [16]None
[301, 98, 96]		 97 FeatureExtractor/MobilenetV2/Conv/Relu6 FLOAT32 [1, 160, 160, 16]None
[97]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 2, 'stride_w': 2} CONV_2D (2)
197 FeatureExtractor/MobilenetV2/Conv/Relu6 FLOAT32 [1, 160, 160, 16]None
105 FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 16]None
104 FeatureExtractor/MobilenetV2/expanded_conv/depthwise/depthwise_bias FLOAT32 [16]None
[97, 105, 104]		 103 FeatureExtractor/MobilenetV2/expanded_conv/depthwise/Relu6 FLOAT32 [1, 160, 160, 16]None
[103]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
2103 FeatureExtractor/MobilenetV2/expanded_conv/depthwise/Relu6 FLOAT32 [1, 160, 160, 16]None
108 FeatureExtractor/MobilenetV2/expanded_conv/project/weights/read FLOAT32 [16, 1, 1, 16]None
107 FeatureExtractor/MobilenetV2/expanded_conv/project/Conv2D_bias FLOAT32 [16]None
[103, 108, 107]		 106 FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 160, 160, 16]None
[106]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
3106 FeatureExtractor/MobilenetV2/expanded_conv/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 160, 160, 16]None
97 FeatureExtractor/MobilenetV2/Conv/Relu6 FLOAT32 [1, 160, 160, 16]None
[106, 97]		 102 FeatureExtractor/MobilenetV2/expanded_conv/add FLOAT32 [1, 160, 160, 16]None
[102]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (0)
4102 FeatureExtractor/MobilenetV2/expanded_conv/add FLOAT32 [1, 160, 160, 16]None
114 FeatureExtractor/MobilenetV2/expanded_conv_1/expand/weights/read FLOAT32 [96, 1, 1, 16]None
112 FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Conv2D_bias FLOAT32 [96]None
[102, 114, 112]		 113 FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Relu6 FLOAT32 [1, 160, 160, 96]None
[113]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
5113 FeatureExtractor/MobilenetV2/expanded_conv_1/expand/Relu6 FLOAT32 [1, 160, 160, 96]None
111 FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 96]None
110 FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/depthwise_bias FLOAT32 [96]None
[113, 111, 110]		 109 FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/Relu6 FLOAT32 [1, 80, 80, 96]None
[109]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 2, 'stride_w': 2} DEPTHWISE_CONV_2D (3)
6109 FeatureExtractor/MobilenetV2/expanded_conv_1/depthwise/Relu6 FLOAT32 [1, 80, 80, 96]None
117 FeatureExtractor/MobilenetV2/expanded_conv_1/project/weights/read FLOAT32 [16, 1, 1, 96]None
116 FeatureExtractor/MobilenetV2/expanded_conv_1/project/Conv2D_bias FLOAT32 [16]None
[109, 117, 116]		 115 FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 80, 80, 16]None
[115]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
7115 FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 80, 80, 16]None
191 FeatureExtractor/MobilenetV2/expanded_conv_2/expand/weights/read FLOAT32 [96, 1, 1, 16]None
189 FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Conv2D_bias FLOAT32 [96]None
[115, 191, 189]		 190 FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Relu6 FLOAT32 [1, 80, 80, 96]None
[190]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
8190 FeatureExtractor/MobilenetV2/expanded_conv_2/expand/Relu6 FLOAT32 [1, 80, 80, 96]None
188 FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 96]None
187 FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/depthwise_bias FLOAT32 [96]None
[190, 188, 187]		 186 FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/Relu6 FLOAT32 [1, 80, 80, 96]None
[186]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
9186 FeatureExtractor/MobilenetV2/expanded_conv_2/depthwise/Relu6 FLOAT32 [1, 80, 80, 96]None
194 FeatureExtractor/MobilenetV2/expanded_conv_2/project/weights/read FLOAT32 [16, 1, 1, 96]None
193 FeatureExtractor/MobilenetV2/expanded_conv_2/project/Conv2D_bias FLOAT32 [16]None
[186, 194, 193]		 192 FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 80, 80, 16]None
[192]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
10192 FeatureExtractor/MobilenetV2/expanded_conv_2/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 80, 80, 16]None
115 FeatureExtractor/MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 80, 80, 16]None
[192, 115]		 185 FeatureExtractor/MobilenetV2/expanded_conv_2/add FLOAT32 [1, 80, 80, 16]None
[185]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (0)
11185 FeatureExtractor/MobilenetV2/expanded_conv_2/add FLOAT32 [1, 80, 80, 16]None
200 FeatureExtractor/MobilenetV2/expanded_conv_3/expand/weights/read FLOAT32 [96, 1, 1, 16]None
198 FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Conv2D_bias FLOAT32 [96]None
[185, 200, 198]		 199 FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Relu6 FLOAT32 [1, 80, 80, 96]None
[199]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
12199 FeatureExtractor/MobilenetV2/expanded_conv_3/expand/Relu6 FLOAT32 [1, 80, 80, 96]None
197 FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 96]None
196 FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/depthwise_bias FLOAT32 [96]None
[199, 197, 196]		 195 FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/Relu6 FLOAT32 [1, 40, 40, 96]None
[195]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 2, 'stride_w': 2} DEPTHWISE_CONV_2D (3)
13195 FeatureExtractor/MobilenetV2/expanded_conv_3/depthwise/Relu6 FLOAT32 [1, 40, 40, 96]None
203 FeatureExtractor/MobilenetV2/expanded_conv_3/project/weights/read FLOAT32 [16, 1, 1, 96]None
202 FeatureExtractor/MobilenetV2/expanded_conv_3/project/Conv2D_bias FLOAT32 [16]None
[195, 203, 202]		 201 FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 40, 40, 16]None
[201]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
14201 FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 40, 40, 16]None
210 FeatureExtractor/MobilenetV2/expanded_conv_4/expand/weights/read FLOAT32 [96, 1, 1, 16]None
208 FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Conv2D_bias FLOAT32 [96]None
[201, 210, 208]		 209 FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6 FLOAT32 [1, 40, 40, 96]None
[209]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
15209 FeatureExtractor/MobilenetV2/expanded_conv_4/expand/Relu6 FLOAT32 [1, 40, 40, 96]None
207 FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 96]None
206 FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/depthwise_bias FLOAT32 [96]None
[209, 207, 206]		 205 FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6 FLOAT32 [1, 40, 40, 96]None
[205]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
16205 FeatureExtractor/MobilenetV2/expanded_conv_4/depthwise/Relu6 FLOAT32 [1, 40, 40, 96]None
213 FeatureExtractor/MobilenetV2/expanded_conv_4/project/weights/read FLOAT32 [16, 1, 1, 96]None
212 FeatureExtractor/MobilenetV2/expanded_conv_4/project/Conv2D_bias FLOAT32 [16]None
[205, 213, 212]		 211 FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 40, 40, 16]None
[211]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
17211 FeatureExtractor/MobilenetV2/expanded_conv_4/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 40, 40, 16]None
201 FeatureExtractor/MobilenetV2/expanded_conv_3/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 40, 40, 16]None
[211, 201]		 204 FeatureExtractor/MobilenetV2/expanded_conv_4/add FLOAT32 [1, 40, 40, 16]None
[204]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (0)
18204 FeatureExtractor/MobilenetV2/expanded_conv_4/add FLOAT32 [1, 40, 40, 16]None
220 FeatureExtractor/MobilenetV2/expanded_conv_5/expand/weights/read FLOAT32 [96, 1, 1, 16]None
218 FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Conv2D_bias FLOAT32 [96]None
[204, 220, 218]		 219 FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Relu6 FLOAT32 [1, 40, 40, 96]None
[219]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
19219 FeatureExtractor/MobilenetV2/expanded_conv_5/expand/Relu6 FLOAT32 [1, 40, 40, 96]None
217 FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 96]None
216 FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/depthwise_bias FLOAT32 [96]None
[219, 217, 216]		 215 FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/Relu6 FLOAT32 [1, 40, 40, 96]None
[215]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
20215 FeatureExtractor/MobilenetV2/expanded_conv_5/depthwise/Relu6 FLOAT32 [1, 40, 40, 96]None
223 FeatureExtractor/MobilenetV2/expanded_conv_5/project/weights/read FLOAT32 [16, 1, 1, 96]None
222 FeatureExtractor/MobilenetV2/expanded_conv_5/project/Conv2D_bias FLOAT32 [16]None
[215, 223, 222]		 221 FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 40, 40, 16]None
[221]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
21221 FeatureExtractor/MobilenetV2/expanded_conv_5/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 40, 40, 16]None
204 FeatureExtractor/MobilenetV2/expanded_conv_4/add FLOAT32 [1, 40, 40, 16]None
[221, 204]		 214 FeatureExtractor/MobilenetV2/expanded_conv_5/add FLOAT32 [1, 40, 40, 16]None
[214]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (0)
22214 FeatureExtractor/MobilenetV2/expanded_conv_5/add FLOAT32 [1, 40, 40, 16]None
229 FeatureExtractor/MobilenetV2/expanded_conv_6/expand/weights/read FLOAT32 [96, 1, 1, 16]None
227 FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Conv2D_bias FLOAT32 [96]None
[214, 229, 227]		 228 FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Relu6 FLOAT32 [1, 40, 40, 96]None
[228]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
23228 FeatureExtractor/MobilenetV2/expanded_conv_6/expand/Relu6 FLOAT32 [1, 40, 40, 96]None
226 FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 96]None
225 FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/depthwise_bias FLOAT32 [96]None
[228, 226, 225]		 224 FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/Relu6 FLOAT32 [1, 20, 20, 96]None
[224]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 2, 'stride_w': 2} DEPTHWISE_CONV_2D (3)
24224 FeatureExtractor/MobilenetV2/expanded_conv_6/depthwise/Relu6 FLOAT32 [1, 20, 20, 96]None
232 FeatureExtractor/MobilenetV2/expanded_conv_6/project/weights/read FLOAT32 [32, 1, 1, 96]None
231 FeatureExtractor/MobilenetV2/expanded_conv_6/project/Conv2D_bias FLOAT32 [32]None
[224, 232, 231]		 230 FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 32]None
[230]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
25230 FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 32]None
239 FeatureExtractor/MobilenetV2/expanded_conv_7/expand/weights/read FLOAT32 [192, 1, 1, 32]None
237 FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Conv2D_bias FLOAT32 [192]None
[230, 239, 237]		 238 FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Relu6 FLOAT32 [1, 20, 20, 192]None
[238]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
26238 FeatureExtractor/MobilenetV2/expanded_conv_7/expand/Relu6 FLOAT32 [1, 20, 20, 192]None
236 FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 192]None
235 FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/depthwise_bias FLOAT32 [192]None
[238, 236, 235]		 234 FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/Relu6 FLOAT32 [1, 20, 20, 192]None
[234]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
27234 FeatureExtractor/MobilenetV2/expanded_conv_7/depthwise/Relu6 FLOAT32 [1, 20, 20, 192]None
242 FeatureExtractor/MobilenetV2/expanded_conv_7/project/weights/read FLOAT32 [32, 1, 1, 192]None
241 FeatureExtractor/MobilenetV2/expanded_conv_7/project/Conv2D_bias FLOAT32 [32]None
[234, 242, 241]		 240 FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 32]None
[240]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
28240 FeatureExtractor/MobilenetV2/expanded_conv_7/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 32]None
230 FeatureExtractor/MobilenetV2/expanded_conv_6/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 32]None
[240, 230]		 233 FeatureExtractor/MobilenetV2/expanded_conv_7/add FLOAT32 [1, 20, 20, 32]None
[233]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (0)
29233 FeatureExtractor/MobilenetV2/expanded_conv_7/add FLOAT32 [1, 20, 20, 32]None
249 FeatureExtractor/MobilenetV2/expanded_conv_8/expand/weights/read FLOAT32 [192, 1, 1, 32]None
247 FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Conv2D_bias FLOAT32 [192]None
[233, 249, 247]		 248 FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Relu6 FLOAT32 [1, 20, 20, 192]None
[248]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
30248 FeatureExtractor/MobilenetV2/expanded_conv_8/expand/Relu6 FLOAT32 [1, 20, 20, 192]None
246 FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 192]None
245 FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/depthwise_bias FLOAT32 [192]None
[248, 246, 245]		 244 FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/Relu6 FLOAT32 [1, 20, 20, 192]None
[244]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
31244 FeatureExtractor/MobilenetV2/expanded_conv_8/depthwise/Relu6 FLOAT32 [1, 20, 20, 192]None
252 FeatureExtractor/MobilenetV2/expanded_conv_8/project/weights/read FLOAT32 [32, 1, 1, 192]None
251 FeatureExtractor/MobilenetV2/expanded_conv_8/project/Conv2D_bias FLOAT32 [32]None
[244, 252, 251]		 250 FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 32]None
[250]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
32250 FeatureExtractor/MobilenetV2/expanded_conv_8/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 32]None
233 FeatureExtractor/MobilenetV2/expanded_conv_7/add FLOAT32 [1, 20, 20, 32]None
[250, 233]		 243 FeatureExtractor/MobilenetV2/expanded_conv_8/add FLOAT32 [1, 20, 20, 32]None
[243]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (0)
33243 FeatureExtractor/MobilenetV2/expanded_conv_8/add FLOAT32 [1, 20, 20, 32]None
259 FeatureExtractor/MobilenetV2/expanded_conv_9/expand/weights/read FLOAT32 [192, 1, 1, 32]None
257 FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Conv2D_bias FLOAT32 [192]None
[243, 259, 257]		 258 FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Relu6 FLOAT32 [1, 20, 20, 192]None
[258]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
34258 FeatureExtractor/MobilenetV2/expanded_conv_9/expand/Relu6 FLOAT32 [1, 20, 20, 192]None
256 FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 192]None
255 FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/depthwise_bias FLOAT32 [192]None
[258, 256, 255]		 254 FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/Relu6 FLOAT32 [1, 20, 20, 192]None
[254]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
35254 FeatureExtractor/MobilenetV2/expanded_conv_9/depthwise/Relu6 FLOAT32 [1, 20, 20, 192]None
262 FeatureExtractor/MobilenetV2/expanded_conv_9/project/weights/read FLOAT32 [32, 1, 1, 192]None
261 FeatureExtractor/MobilenetV2/expanded_conv_9/project/Conv2D_bias FLOAT32 [32]None
[254, 262, 261]		 260 FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 32]None
[260]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
36260 FeatureExtractor/MobilenetV2/expanded_conv_9/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 32]None
243 FeatureExtractor/MobilenetV2/expanded_conv_8/add FLOAT32 [1, 20, 20, 32]None
[260, 243]		 253 FeatureExtractor/MobilenetV2/expanded_conv_9/add FLOAT32 [1, 20, 20, 32]None
[253]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (0)
37253 FeatureExtractor/MobilenetV2/expanded_conv_9/add FLOAT32 [1, 20, 20, 32]None
123 FeatureExtractor/MobilenetV2/expanded_conv_10/expand/weights/read FLOAT32 [192, 1, 1, 32]None
121 FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Conv2D_bias FLOAT32 [192]None
[253, 123, 121]		 122 FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Relu6 FLOAT32 [1, 20, 20, 192]None
[122]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
38122 FeatureExtractor/MobilenetV2/expanded_conv_10/expand/Relu6 FLOAT32 [1, 20, 20, 192]None
120 FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 192]None
119 FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/depthwise_bias FLOAT32 [192]None
[122, 120, 119]		 118 FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/Relu6 FLOAT32 [1, 20, 20, 192]None
[118]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
39118 FeatureExtractor/MobilenetV2/expanded_conv_10/depthwise/Relu6 FLOAT32 [1, 20, 20, 192]None
126 FeatureExtractor/MobilenetV2/expanded_conv_10/project/weights/read FLOAT32 [48, 1, 1, 192]None
125 FeatureExtractor/MobilenetV2/expanded_conv_10/project/Conv2D_bias FLOAT32 [48]None
[118, 126, 125]		 124 FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 48]None
[124]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
40124 FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 48]None
133 FeatureExtractor/MobilenetV2/expanded_conv_11/expand/weights/read FLOAT32 [288, 1, 1, 48]None
131 FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Conv2D_bias FLOAT32 [288]None
[124, 133, 131]		 132 FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Relu6 FLOAT32 [1, 20, 20, 288]None
[132]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
41132 FeatureExtractor/MobilenetV2/expanded_conv_11/expand/Relu6 FLOAT32 [1, 20, 20, 288]None
130 FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 288]None
129 FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/depthwise_bias FLOAT32 [288]None
[132, 130, 129]		 128 FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/Relu6 FLOAT32 [1, 20, 20, 288]None
[128]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
42128 FeatureExtractor/MobilenetV2/expanded_conv_11/depthwise/Relu6 FLOAT32 [1, 20, 20, 288]None
136 FeatureExtractor/MobilenetV2/expanded_conv_11/project/weights/read FLOAT32 [48, 1, 1, 288]None
135 FeatureExtractor/MobilenetV2/expanded_conv_11/project/Conv2D_bias FLOAT32 [48]None
[128, 136, 135]		 134 FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 48]None
[134]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
43134 FeatureExtractor/MobilenetV2/expanded_conv_11/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 48]None
124 FeatureExtractor/MobilenetV2/expanded_conv_10/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 48]None
[134, 124]		 127 FeatureExtractor/MobilenetV2/expanded_conv_11/add FLOAT32 [1, 20, 20, 48]None
[127]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (0)
44127 FeatureExtractor/MobilenetV2/expanded_conv_11/add FLOAT32 [1, 20, 20, 48]None
143 FeatureExtractor/MobilenetV2/expanded_conv_12/expand/weights/read FLOAT32 [288, 1, 1, 48]None
141 FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Conv2D_bias FLOAT32 [288]None
[127, 143, 141]		 142 FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Relu6 FLOAT32 [1, 20, 20, 288]None
[142]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
45142 FeatureExtractor/MobilenetV2/expanded_conv_12/expand/Relu6 FLOAT32 [1, 20, 20, 288]None
140 FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 288]None
139 FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/depthwise_bias FLOAT32 [288]None
[142, 140, 139]		 138 FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/Relu6 FLOAT32 [1, 20, 20, 288]None
[138]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
46138 FeatureExtractor/MobilenetV2/expanded_conv_12/depthwise/Relu6 FLOAT32 [1, 20, 20, 288]None
146 FeatureExtractor/MobilenetV2/expanded_conv_12/project/weights/read FLOAT32 [48, 1, 1, 288]None
145 FeatureExtractor/MobilenetV2/expanded_conv_12/project/Conv2D_bias FLOAT32 [48]None
[138, 146, 145]		 144 FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 48]None
[144]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
47144 FeatureExtractor/MobilenetV2/expanded_conv_12/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 20, 20, 48]None
127 FeatureExtractor/MobilenetV2/expanded_conv_11/add FLOAT32 [1, 20, 20, 48]None
[144, 127]		 137 FeatureExtractor/MobilenetV2/expanded_conv_12/add FLOAT32 [1, 20, 20, 48]None
[137]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (0)
48137 FeatureExtractor/MobilenetV2/expanded_conv_12/add FLOAT32 [1, 20, 20, 48]None
152 FeatureExtractor/MobilenetV2/expanded_conv_13/expand/weights/read FLOAT32 [288, 1, 1, 48]None
150 FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Conv2D_bias FLOAT32 [288]None
[137, 152, 150]		 151 FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6 FLOAT32 [1, 20, 20, 288]None
[151]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
49151 FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6 FLOAT32 [1, 20, 20, 288]None
149 FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 288]None
148 FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/depthwise_bias FLOAT32 [288]None
[151, 149, 148]		 147 FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/Relu6 FLOAT32 [1, 10, 10, 288]None
[147]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 2, 'stride_w': 2} DEPTHWISE_CONV_2D (3)
50151 FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6 FLOAT32 [1, 20, 20, 288]None
5 BoxPredictor_0/BoxEncodingPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 288]None
4 BoxPredictor_0/BoxEncodingPredictor_depthwise/depthwise_bias FLOAT32 [288]None
[151, 5, 4]		 3 BoxPredictor_0/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 20, 20, 288]None
[3]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
51151 FeatureExtractor/MobilenetV2/expanded_conv_13/expand/Relu6 FLOAT32 [1, 20, 20, 288]None
11 BoxPredictor_0/ClassPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 288]None
10 BoxPredictor_0/ClassPredictor_depthwise/depthwise_bias FLOAT32 [288]None
[151, 11, 10]		 9 BoxPredictor_0/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 20, 20, 288]None
[9]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
523 BoxPredictor_0/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 20, 20, 288]None
2 BoxPredictor_0/BoxEncodingPredictor/weights/read FLOAT32 [12, 1, 1, 288]None
1 BoxPredictor_0/BoxEncodingPredictor/Conv2D_bias FLOAT32 [12]None
[3, 2, 1]		 0 BoxPredictor_0/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 20, 20, 12]None
[0]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
539 BoxPredictor_0/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 20, 20, 288]None
8 BoxPredictor_0/ClassPredictor/weights/read FLOAT32 [273, 1, 1, 288]None
7 BoxPredictor_0/ClassPredictor/Conv2D_bias FLOAT32 [273]None
[9, 8, 7]		 6 BoxPredictor_0/ClassPredictor/BiasAdd FLOAT32 [1, 20, 20, 273]None
[6]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
54147 FeatureExtractor/MobilenetV2/expanded_conv_13/depthwise/Relu6 FLOAT32 [1, 10, 10, 288]None
155 FeatureExtractor/MobilenetV2/expanded_conv_13/project/weights/read FLOAT32 [80, 1, 1, 288]None
154 FeatureExtractor/MobilenetV2/expanded_conv_13/project/Conv2D_bias FLOAT32 [80]None
[147, 155, 154]		 153 FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 10, 10, 80]None
[153]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
550 BoxPredictor_0/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 20, 20, 12]None
13 BoxPredictor_0/Reshape/shape INT32 [4]None
[0, 13]		 12 BoxPredictor_0/Reshape FLOAT32 [1, 1200, 1, 4]None
[12]		 {'new_shape': [1, -1, 1, 4]} RESHAPE (4)
566 BoxPredictor_0/ClassPredictor/BiasAdd FLOAT32 [1, 20, 20, 273]None
15 BoxPredictor_0/Reshape_1/shape INT32 [3]None
[6, 15]		 14 BoxPredictor_0/Reshape_1 FLOAT32 [1, 1200, 91]None
[14]		 {'new_shape': [1, -1, 91]} RESHAPE (4)
57153 FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 10, 10, 80]None
162 FeatureExtractor/MobilenetV2/expanded_conv_14/expand/weights/read FLOAT32 [480, 1, 1, 80]None
160 FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Conv2D_bias FLOAT32 [480]None
[153, 162, 160]		 161 FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Relu6 FLOAT32 [1, 10, 10, 480]None
[161]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
58161 FeatureExtractor/MobilenetV2/expanded_conv_14/expand/Relu6 FLOAT32 [1, 10, 10, 480]None
159 FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 480]None
158 FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/depthwise_bias FLOAT32 [480]None
[161, 159, 158]		 157 FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/Relu6 FLOAT32 [1, 10, 10, 480]None
[157]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
59157 FeatureExtractor/MobilenetV2/expanded_conv_14/depthwise/Relu6 FLOAT32 [1, 10, 10, 480]None
165 FeatureExtractor/MobilenetV2/expanded_conv_14/project/weights/read FLOAT32 [80, 1, 1, 480]None
164 FeatureExtractor/MobilenetV2/expanded_conv_14/project/Conv2D_bias FLOAT32 [80]None
[157, 165, 164]		 163 FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 10, 10, 80]None
[163]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
60163 FeatureExtractor/MobilenetV2/expanded_conv_14/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 10, 10, 80]None
153 FeatureExtractor/MobilenetV2/expanded_conv_13/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 10, 10, 80]None
[163, 153]		 156 FeatureExtractor/MobilenetV2/expanded_conv_14/add FLOAT32 [1, 10, 10, 80]None
[156]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (0)
61156 FeatureExtractor/MobilenetV2/expanded_conv_14/add FLOAT32 [1, 10, 10, 80]None
172 FeatureExtractor/MobilenetV2/expanded_conv_15/expand/weights/read FLOAT32 [480, 1, 1, 80]None
170 FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Conv2D_bias FLOAT32 [480]None
[156, 172, 170]		 171 FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Relu6 FLOAT32 [1, 10, 10, 480]None
[171]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
62171 FeatureExtractor/MobilenetV2/expanded_conv_15/expand/Relu6 FLOAT32 [1, 10, 10, 480]None
169 FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 480]None
168 FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/depthwise_bias FLOAT32 [480]None
[171, 169, 168]		 167 FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/Relu6 FLOAT32 [1, 10, 10, 480]None
[167]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
63167 FeatureExtractor/MobilenetV2/expanded_conv_15/depthwise/Relu6 FLOAT32 [1, 10, 10, 480]None
175 FeatureExtractor/MobilenetV2/expanded_conv_15/project/weights/read FLOAT32 [80, 1, 1, 480]None
174 FeatureExtractor/MobilenetV2/expanded_conv_15/project/Conv2D_bias FLOAT32 [80]None
[167, 175, 174]		 173 FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 10, 10, 80]None
[173]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
64173 FeatureExtractor/MobilenetV2/expanded_conv_15/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 10, 10, 80]None
156 FeatureExtractor/MobilenetV2/expanded_conv_14/add FLOAT32 [1, 10, 10, 80]None
[173, 156]		 166 FeatureExtractor/MobilenetV2/expanded_conv_15/add FLOAT32 [1, 10, 10, 80]None
[166]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (0)
65166 FeatureExtractor/MobilenetV2/expanded_conv_15/add FLOAT32 [1, 10, 10, 80]None
181 FeatureExtractor/MobilenetV2/expanded_conv_16/expand/weights/read FLOAT32 [480, 1, 1, 80]None
179 FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Conv2D_bias FLOAT32 [480]None
[166, 181, 179]		 180 FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Relu6 FLOAT32 [1, 10, 10, 480]None
[180]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
66180 FeatureExtractor/MobilenetV2/expanded_conv_16/expand/Relu6 FLOAT32 [1, 10, 10, 480]None
178 FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 480]None
177 FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/depthwise_bias FLOAT32 [480]None
[180, 178, 177]		 176 FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/Relu6 FLOAT32 [1, 10, 10, 480]None
[176]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
67176 FeatureExtractor/MobilenetV2/expanded_conv_16/depthwise/Relu6 FLOAT32 [1, 10, 10, 480]None
184 FeatureExtractor/MobilenetV2/expanded_conv_16/project/weights/read FLOAT32 [160, 1, 1, 480]None
183 FeatureExtractor/MobilenetV2/expanded_conv_16/project/Conv2D_bias FLOAT32 [160]None
[176, 184, 183]		 182 FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 10, 10, 160]None
[182]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
68182 FeatureExtractor/MobilenetV2/expanded_conv_16/project/BatchNorm/FusedBatchNorm FLOAT32 [1, 10, 10, 160]None
101 FeatureExtractor/MobilenetV2/Conv_1/weights/read FLOAT32 [640, 1, 1, 160]None
99 FeatureExtractor/MobilenetV2/Conv_1/Conv2D_bias FLOAT32 [640]None
[182, 101, 99]		 100 FeatureExtractor/MobilenetV2/Conv_1/Relu6 FLOAT32 [1, 10, 10, 640]None
[100]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
69100 FeatureExtractor/MobilenetV2/Conv_1/Relu6 FLOAT32 [1, 10, 10, 640]None
265 FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_128/weights/read FLOAT32 [128, 1, 1, 640]None
263 FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_128/Conv2D_bias FLOAT32 [128]None
[100, 265, 263]		 264 FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_128/Relu6 FLOAT32 [1, 10, 10, 128]None
[264]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
70100 FeatureExtractor/MobilenetV2/Conv_1/Relu6 FLOAT32 [1, 10, 10, 640]None
21 BoxPredictor_1/BoxEncodingPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 640]None
20 BoxPredictor_1/BoxEncodingPredictor_depthwise/depthwise_bias FLOAT32 [640]None
[100, 21, 20]		 19 BoxPredictor_1/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 10, 10, 640]None
[19]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
71100 FeatureExtractor/MobilenetV2/Conv_1/Relu6 FLOAT32 [1, 10, 10, 640]None
27 BoxPredictor_1/ClassPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 640]None
26 BoxPredictor_1/ClassPredictor_depthwise/depthwise_bias FLOAT32 [640]None
[100, 27, 26]		 25 BoxPredictor_1/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 10, 10, 640]None
[25]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
72264 FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_2_1x1_128/Relu6 FLOAT32 [1, 10, 10, 128]None
280 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_256_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 128]None
279 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_256_depthwise/depthwise_bias FLOAT32 [128]None
[264, 280, 279]		 278 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_256_depthwise/Relu6 FLOAT32 [1, 5, 5, 128]None
[278]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 2, 'stride_w': 2} DEPTHWISE_CONV_2D (3)
7319 BoxPredictor_1/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 10, 10, 640]None
18 BoxPredictor_1/BoxEncodingPredictor/weights/read FLOAT32 [24, 1, 1, 640]None
17 BoxPredictor_1/BoxEncodingPredictor/Conv2D_bias FLOAT32 [24]None
[19, 18, 17]		 16 BoxPredictor_1/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 10, 10, 24]None
[16]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
7425 BoxPredictor_1/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 10, 10, 640]None
24 BoxPredictor_1/ClassPredictor/weights/read FLOAT32 [546, 1, 1, 640]None
23 BoxPredictor_1/ClassPredictor/Conv2D_bias FLOAT32 [546]None
[25, 24, 23]		 22 BoxPredictor_1/ClassPredictor/BiasAdd FLOAT32 [1, 10, 10, 546]None
[22]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
7516 BoxPredictor_1/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 10, 10, 24]None
29 BoxPredictor_1/Reshape/shape INT32 [4]None
[16, 29]		 28 BoxPredictor_1/Reshape FLOAT32 [1, 600, 1, 4]None
[28]		 {'new_shape': [1, -1, 1, 4]} RESHAPE (4)
7622 BoxPredictor_1/ClassPredictor/BiasAdd FLOAT32 [1, 10, 10, 546]None
31 BoxPredictor_1/Reshape_1/shape INT32 [3]None
[22, 31]		 30 BoxPredictor_1/Reshape_1 FLOAT32 [1, 600, 91]None
[30]		 {'new_shape': [1, -1, 91]} RESHAPE (4)
77278 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_256_depthwise/Relu6 FLOAT32 [1, 5, 5, 128]None
277 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_256/weights/read FLOAT32 [256, 1, 1, 128]None
275 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_256/Conv2D_bias FLOAT32 [256]None
[278, 277, 275]		 276 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_256/Relu6 FLOAT32 [1, 5, 5, 256]None
[276]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
78276 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_256/Relu6 FLOAT32 [1, 5, 5, 256]None
268 FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_64/weights/read FLOAT32 [64, 1, 1, 256]None
266 FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_64/Conv2D_bias FLOAT32 [64]None
[276, 268, 266]		 267 FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_64/Relu6 FLOAT32 [1, 5, 5, 64]None
[267]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
79276 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_256/Relu6 FLOAT32 [1, 5, 5, 256]None
37 BoxPredictor_2/BoxEncodingPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 256]None
36 BoxPredictor_2/BoxEncodingPredictor_depthwise/depthwise_bias FLOAT32 [256]None
[276, 37, 36]		 35 BoxPredictor_2/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 5, 5, 256]None
[35]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
80276 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_256/Relu6 FLOAT32 [1, 5, 5, 256]None
43 BoxPredictor_2/ClassPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 256]None
42 BoxPredictor_2/ClassPredictor_depthwise/depthwise_bias FLOAT32 [256]None
[276, 43, 42]		 41 BoxPredictor_2/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 5, 5, 256]None
[41]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
81267 FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_3_1x1_64/Relu6 FLOAT32 [1, 5, 5, 64]None
286 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_128_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 64]None
285 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_128_depthwise/depthwise_bias FLOAT32 [64]None
[267, 286, 285]		 284 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_128_depthwise/Relu6 FLOAT32 [1, 3, 3, 64]None
[284]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 2, 'stride_w': 2} DEPTHWISE_CONV_2D (3)
8235 BoxPredictor_2/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 5, 5, 256]None
34 BoxPredictor_2/BoxEncodingPredictor/weights/read FLOAT32 [24, 1, 1, 256]None
33 BoxPredictor_2/BoxEncodingPredictor/Conv2D_bias FLOAT32 [24]None
[35, 34, 33]		 32 BoxPredictor_2/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 5, 5, 24]None
[32]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
8341 BoxPredictor_2/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 5, 5, 256]None
40 BoxPredictor_2/ClassPredictor/weights/read FLOAT32 [546, 1, 1, 256]None
39 BoxPredictor_2/ClassPredictor/Conv2D_bias FLOAT32 [546]None
[41, 40, 39]		 38 BoxPredictor_2/ClassPredictor/BiasAdd FLOAT32 [1, 5, 5, 546]None
[38]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
8432 BoxPredictor_2/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 5, 5, 24]None
45 BoxPredictor_2/Reshape/shape INT32 [4]None
[32, 45]		 44 BoxPredictor_2/Reshape FLOAT32 [1, 150, 1, 4]None
[44]		 {'new_shape': [1, -1, 1, 4]} RESHAPE (4)
8538 BoxPredictor_2/ClassPredictor/BiasAdd FLOAT32 [1, 5, 5, 546]None
47 BoxPredictor_2/Reshape_1/shape INT32 [3]None
[38, 47]		 46 BoxPredictor_2/Reshape_1 FLOAT32 [1, 150, 91]None
[46]		 {'new_shape': [1, -1, 91]} RESHAPE (4)
86284 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_128_depthwise/Relu6 FLOAT32 [1, 3, 3, 64]None
283 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_128/weights/read FLOAT32 [128, 1, 1, 64]None
281 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_128/Conv2D_bias FLOAT32 [128]None
[284, 283, 281]		 282 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_128/Relu6 FLOAT32 [1, 3, 3, 128]None
[282]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
87282 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_128/Relu6 FLOAT32 [1, 3, 3, 128]None
271 FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_64/weights/read FLOAT32 [64, 1, 1, 128]None
269 FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_64/Conv2D_bias FLOAT32 [64]None
[282, 271, 269]		 270 FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_64/Relu6 FLOAT32 [1, 3, 3, 64]None
[270]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
88282 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_128/Relu6 FLOAT32 [1, 3, 3, 128]None
53 BoxPredictor_3/BoxEncodingPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 128]None
52 BoxPredictor_3/BoxEncodingPredictor_depthwise/depthwise_bias FLOAT32 [128]None
[282, 53, 52]		 51 BoxPredictor_3/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 3, 3, 128]None
[51]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
89282 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_128/Relu6 FLOAT32 [1, 3, 3, 128]None
59 BoxPredictor_3/ClassPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 128]None
58 BoxPredictor_3/ClassPredictor_depthwise/depthwise_bias FLOAT32 [128]None
[282, 59, 58]		 57 BoxPredictor_3/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 3, 3, 128]None
[57]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
90270 FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_4_1x1_64/Relu6 FLOAT32 [1, 3, 3, 64]None
292 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_128_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 64]None
291 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_128_depthwise/depthwise_bias FLOAT32 [64]None
[270, 292, 291]		 290 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_128_depthwise/Relu6 FLOAT32 [1, 2, 2, 64]None
[290]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 2, 'stride_w': 2} DEPTHWISE_CONV_2D (3)
9151 BoxPredictor_3/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 3, 3, 128]None
50 BoxPredictor_3/BoxEncodingPredictor/weights/read FLOAT32 [24, 1, 1, 128]None
49 BoxPredictor_3/BoxEncodingPredictor/Conv2D_bias FLOAT32 [24]None
[51, 50, 49]		 48 BoxPredictor_3/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 3, 3, 24]None
[48]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
9257 BoxPredictor_3/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 3, 3, 128]None
56 BoxPredictor_3/ClassPredictor/weights/read FLOAT32 [546, 1, 1, 128]None
55 BoxPredictor_3/ClassPredictor/Conv2D_bias FLOAT32 [546]None
[57, 56, 55]		 54 BoxPredictor_3/ClassPredictor/BiasAdd FLOAT32 [1, 3, 3, 546]None
[54]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
9348 BoxPredictor_3/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 3, 3, 24]None
61 BoxPredictor_3/Reshape/shape INT32 [4]None
[48, 61]		 60 BoxPredictor_3/Reshape FLOAT32 [1, 54, 1, 4]None
[60]		 {'new_shape': [1, -1, 1, 4]} RESHAPE (4)
9454 BoxPredictor_3/ClassPredictor/BiasAdd FLOAT32 [1, 3, 3, 546]None
63 BoxPredictor_3/Reshape_1/shape INT32 [3]None
[54, 63]		 62 BoxPredictor_3/Reshape_1 FLOAT32 [1, 54, 91]None
[62]		 {'new_shape': [1, -1, 91]} RESHAPE (4)
95290 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_128_depthwise/Relu6 FLOAT32 [1, 2, 2, 64]None
289 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_128/weights/read FLOAT32 [128, 1, 1, 64]None
287 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_128/Conv2D_bias FLOAT32 [128]None
[290, 289, 287]		 288 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_128/Relu6 FLOAT32 [1, 2, 2, 128]None
[288]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
96288 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_128/Relu6 FLOAT32 [1, 2, 2, 128]None
274 FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_32/weights/read FLOAT32 [32, 1, 1, 128]None
272 FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_32/Conv2D_bias FLOAT32 [32]None
[288, 274, 272]		 273 FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_32/Relu6 FLOAT32 [1, 2, 2, 32]None
[273]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
97288 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_128/Relu6 FLOAT32 [1, 2, 2, 128]None
69 BoxPredictor_4/BoxEncodingPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 128]None
68 BoxPredictor_4/BoxEncodingPredictor_depthwise/depthwise_bias FLOAT32 [128]None
[288, 69, 68]		 67 BoxPredictor_4/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 2, 2, 128]None
[67]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
98288 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_128/Relu6 FLOAT32 [1, 2, 2, 128]None
75 BoxPredictor_4/ClassPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 128]None
74 BoxPredictor_4/ClassPredictor_depthwise/depthwise_bias FLOAT32 [128]None
[288, 75, 74]		 73 BoxPredictor_4/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 2, 2, 128]None
[73]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
99273 FeatureExtractor/MobilenetV2/layer_19_1_Conv2d_5_1x1_32/Relu6 FLOAT32 [1, 2, 2, 32]None
298 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_64_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 32]None
297 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_64_depthwise/depthwise_bias FLOAT32 [32]None
[273, 298, 297]		 296 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_64_depthwise/Relu6 FLOAT32 [1, 1, 1, 32]None
[296]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 2, 'stride_w': 2} DEPTHWISE_CONV_2D (3)
10067 BoxPredictor_4/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 2, 2, 128]None
66 BoxPredictor_4/BoxEncodingPredictor/weights/read FLOAT32 [24, 1, 1, 128]None
65 BoxPredictor_4/BoxEncodingPredictor/Conv2D_bias FLOAT32 [24]None
[67, 66, 65]		 64 BoxPredictor_4/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 2, 2, 24]None
[64]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
10173 BoxPredictor_4/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 2, 2, 128]None
72 BoxPredictor_4/ClassPredictor/weights/read FLOAT32 [546, 1, 1, 128]None
71 BoxPredictor_4/ClassPredictor/Conv2D_bias FLOAT32 [546]None
[73, 72, 71]		 70 BoxPredictor_4/ClassPredictor/BiasAdd FLOAT32 [1, 2, 2, 546]None
[70]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
10264 BoxPredictor_4/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 2, 2, 24]None
77 BoxPredictor_4/Reshape/shape INT32 [4]None
[64, 77]		 76 BoxPredictor_4/Reshape FLOAT32 [1, 24, 1, 4]None
[76]		 {'new_shape': [1, -1, 1, 4]} RESHAPE (4)
10370 BoxPredictor_4/ClassPredictor/BiasAdd FLOAT32 [1, 2, 2, 546]None
79 BoxPredictor_4/Reshape_1/shape INT32 [3]None
[70, 79]		 78 BoxPredictor_4/Reshape_1 FLOAT32 [1, 24, 91]None
[78]		 {'new_shape': [1, -1, 91]} RESHAPE (4)
104296 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_64_depthwise/Relu6 FLOAT32 [1, 1, 1, 32]None
295 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_64/weights/read FLOAT32 [64, 1, 1, 32]None
293 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_64/Conv2D_bias FLOAT32 [64]None
[296, 295, 293]		 294 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_64/Relu6 FLOAT32 [1, 1, 1, 64]None
[294]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
105294 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_64/Relu6 FLOAT32 [1, 1, 1, 64]None
85 BoxPredictor_5/BoxEncodingPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 64]None
84 BoxPredictor_5/BoxEncodingPredictor_depthwise/depthwise_bias FLOAT32 [64]None
[294, 85, 84]		 83 BoxPredictor_5/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 1, 1, 64]None
[83]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
106294 FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_64/Relu6 FLOAT32 [1, 1, 1, 64]None
91 BoxPredictor_5/ClassPredictor_depthwise/depthwise_weights/read FLOAT32 [1, 3, 3, 64]None
90 BoxPredictor_5/ClassPredictor_depthwise/depthwise_bias FLOAT32 [64]None
[294, 91, 90]		 89 BoxPredictor_5/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 1, 1, 64]None
[89]		 {'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} DEPTHWISE_CONV_2D (3)
10783 BoxPredictor_5/BoxEncodingPredictor_depthwise/Relu6 FLOAT32 [1, 1, 1, 64]None
82 BoxPredictor_5/BoxEncodingPredictor/weights/read FLOAT32 [24, 1, 1, 64]None
81 BoxPredictor_5/BoxEncodingPredictor/Conv2D_bias FLOAT32 [24]None
[83, 82, 81]		 80 BoxPredictor_5/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 1, 1, 24]None
[80]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
10889 BoxPredictor_5/ClassPredictor_depthwise/Relu6 FLOAT32 [1, 1, 1, 64]None
88 BoxPredictor_5/ClassPredictor/weights/read FLOAT32 [546, 1, 1, 64]None
87 BoxPredictor_5/ClassPredictor/Conv2D_bias FLOAT32 [546]None
[89, 88, 87]		 86 BoxPredictor_5/ClassPredictor/BiasAdd FLOAT32 [1, 1, 1, 546]None
[86]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (2)
10980 BoxPredictor_5/BoxEncodingPredictor/BiasAdd FLOAT32 [1, 1, 1, 24]None
93 BoxPredictor_5/Reshape/shape INT32 [4]None
[80, 93]		 92 BoxPredictor_5/Reshape FLOAT32 [1, 6, 1, 4]None
[92]		 {'new_shape': [1, -1, 1, 4]} RESHAPE (4)
11086 BoxPredictor_5/ClassPredictor/BiasAdd FLOAT32 [1, 1, 1, 546]None
95 BoxPredictor_5/Reshape_1/shape INT32 [3]None
[86, 95]		 94 BoxPredictor_5/Reshape_1 FLOAT32 [1, 6, 91]None
[94]		 {'new_shape': [1, -1, 91]} RESHAPE (4)
11112 BoxPredictor_0/Reshape FLOAT32 [1, 1200, 1, 4]None
28 BoxPredictor_1/Reshape FLOAT32 [1, 600, 1, 4]None
44 BoxPredictor_2/Reshape FLOAT32 [1, 150, 1, 4]None
60 BoxPredictor_3/Reshape FLOAT32 [1, 54, 1, 4]None
76 BoxPredictor_4/Reshape FLOAT32 [1, 24, 1, 4]None
92 BoxPredictor_5/Reshape FLOAT32 [1, 6, 1, 4]None
[12, 28, 44, 60, 76, 92]		 300 concat_1 FLOAT32 [1, 2034, 1, 4]None
[300]		 {'axis': 1, 'fused_activation_function': 0} CONCATENATION (1)
11214 BoxPredictor_0/Reshape_1 FLOAT32 [1, 1200, 91]None
30 BoxPredictor_1/Reshape_1 FLOAT32 [1, 600, 91]None
46 BoxPredictor_2/Reshape_1 FLOAT32 [1, 150, 91]None
62 BoxPredictor_3/Reshape_1 FLOAT32 [1, 54, 91]None
78 BoxPredictor_4/Reshape_1 FLOAT32 [1, 24, 91]None
94 BoxPredictor_5/Reshape_1 FLOAT32 [1, 6, 91]None
[14, 30, 46, 62, 78, 94]		 303 raw_outputs/class_predictions FLOAT32 [1, 2034, 91]None
[303]		 {'axis': 1, 'fused_activation_function': 0} CONCATENATION (1)
113300 concat_1 FLOAT32 [1, 2034, 1, 4]None
299 Squeeze_shape INT32 [3]None
[300, 299]		 302 raw_outputs/box_encodings FLOAT32 [1, 2034, 4]None
[302]		 {'new_shape': [1, 2034, 4]} RESHAPE (4)

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Operator Codes

indexbuiltin_codecustom_codeversion
0ADD 1
1CONCATENATION 1
2CONV_2D 1
3DEPTHWISE_CONV_2D 1
4RESHAPE 1