TensorFlow Lite Model

filenamemediapipe\mediapipe\modules\objectron\object_detection_3d_camera.tflite
version3
description[77, 76, 73, 82, 32, 67, 111, 110, 118, 101, 114, 116, 101, 100, 46]

Subgraph 0

Inputs/Outputs

inputsoutputs
0 input_1 FLOAT32 [1, 224, 224, 3][-1, 224, 224, 3]
[0]		 157 Identity_1 FLOAT32 [1, 18][-1, 18]
159 Identity FLOAT32 [1, 1][-1, 1]
[157, 159]

Tensors

indexnametypeshapeshape_signaturebufferquantization
0input_1 FLOAT32 [1, 224, 224, 3] [-1, 224, 224, 3] 1 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
1model/conv_landmarks/BiasAdd/ReadVariableOp/resource FLOAT16 [18] None 2 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
2model/conv_objectflag/BiasAdd/ReadVariableOp/resource FLOAT16 [1] None 3 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
3model/tf.math.reduce_mean/Mean/reduction_indices INT32 [2] None 4 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
4model/batch_normalization/FusedBatchNormV3 FLOAT16 [24] None 5 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
5model/batch_normalization_1/FusedBatchNormV3 FLOAT16 [24] None 6 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
6model/batch_normalization_10/FusedBatchNormV3 FLOAT16 [144] None 7 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
7model/batch_normalization_12/FusedBatchNormV3 FLOAT16 [240] None 8 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
8model/batch_normalization_13/FusedBatchNormV3 FLOAT16 [240] None 9 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
9model/batch_normalization_15/FusedBatchNormV3 FLOAT16 [240] None 10 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
10model/batch_normalization_16/FusedBatchNormV3 FLOAT16 [240] None 11 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
11model/batch_normalization_18/FusedBatchNormV3 FLOAT16 [480] None 12 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
12model/batch_normalization_19/FusedBatchNormV3 FLOAT16 [480] None 13 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
13model/batch_normalization_21/FusedBatchNormV3 FLOAT16 [480] None 14 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
14model/batch_normalization_22/FusedBatchNormV3 FLOAT16 [480] None 15 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
15model/batch_normalization_24/FusedBatchNormV3 FLOAT16 [480] None 16 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
16model/batch_normalization_25/FusedBatchNormV3 FLOAT16 [480] None 17 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
17model/batch_normalization_27/FusedBatchNormV3 FLOAT16 [672] None 18 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
18model/batch_normalization_28/FusedBatchNormV3 FLOAT16 [672] None 19 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
19model/batch_normalization_3/FusedBatchNormV3 FLOAT16 [64] None 20 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
20model/batch_normalization_30/FusedBatchNormV3 FLOAT16 [672] None 21 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
21model/batch_normalization_31/FusedBatchNormV3 FLOAT16 [672] None 22 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
22model/batch_normalization_33/FusedBatchNormV3 FLOAT16 [672] None 23 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
23model/batch_normalization_34/FusedBatchNormV3 FLOAT16 [672] None 24 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
24model/batch_normalization_36/FusedBatchNormV3 FLOAT16 [1152] None 25 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
25model/batch_normalization_37/FusedBatchNormV3 FLOAT16 [1152] None 26 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
26model/batch_normalization_39/FusedBatchNormV3 FLOAT16 [1152] None 27 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
27model/batch_normalization_4/FusedBatchNormV3 FLOAT16 [64] None 28 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
28model/batch_normalization_40/FusedBatchNormV3 FLOAT16 [1152] None 29 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
29model/batch_normalization_42/FusedBatchNormV3 FLOAT16 [1152] None 30 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
30model/batch_normalization_43/FusedBatchNormV3 FLOAT16 [1152] None 31 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
31model/batch_normalization_45/FusedBatchNormV3 FLOAT16 [1152] None 32 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
32model/batch_normalization_46/FusedBatchNormV3 FLOAT16 [1152] None 33 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
33model/batch_normalization_6/FusedBatchNormV3 FLOAT16 [144] None 34 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
34model/batch_normalization_7/FusedBatchNormV3 FLOAT16 [144] None 35 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
35model/batch_normalization_9/FusedBatchNormV3 FLOAT16 [144] None 36 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
36model/conv_landmarks/MatMul FLOAT16 [18, 1152] None 37 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
37model/conv_objectflag/MatMul FLOAT16 [1, 1152] None 38 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
38model/conv2d/Conv2D FLOAT16 [24, 3, 3, 3] None 39 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
39model/conv2d_1/Conv2D FLOAT16 [16, 1, 1, 24] None 40 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
40model/conv2d_2/Conv2D FLOAT16 [64, 1, 1, 16] None 41 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
41model/conv2d_3/Conv2D FLOAT16 [24, 1, 1, 64] None 42 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
42model/conv2d_4/Conv2D FLOAT16 [144, 1, 1, 24] None 43 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
43model/conv2d_5/Conv2D FLOAT16 [24, 1, 1, 144] None 44 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
44model/conv2d_6/Conv2D FLOAT16 [144, 1, 1, 24] None 45 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
45model/conv2d_7/Conv2D FLOAT16 [40, 1, 1, 144] None 46 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
46model/conv2d_8/Conv2D FLOAT16 [240, 1, 1, 40] None 47 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
47model/conv2d_9/Conv2D FLOAT16 [40, 1, 1, 240] None 48 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
48model/conv2d_10/Conv2D FLOAT16 [240, 1, 1, 40] None 49 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
49model/conv2d_11/Conv2D FLOAT16 [80, 1, 1, 240] None 50 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
50model/conv2d_12/Conv2D FLOAT16 [480, 1, 1, 80] None 51 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
51model/conv2d_13/Conv2D FLOAT16 [80, 1, 1, 480] None 52 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
52model/conv2d_14/Conv2D FLOAT16 [480, 1, 1, 80] None 53 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
53model/conv2d_15/Conv2D FLOAT16 [80, 1, 1, 480] None 54 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
54model/conv2d_16/Conv2D FLOAT16 [480, 1, 1, 80] None 55 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
55model/conv2d_17/Conv2D FLOAT16 [112, 1, 1, 480] None 56 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
56model/conv2d_18/Conv2D FLOAT16 [672, 1, 1, 112] None 57 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
57model/conv2d_19/Conv2D FLOAT16 [112, 1, 1, 672] None 58 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
58model/conv2d_20/Conv2D FLOAT16 [672, 1, 1, 112] None 59 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
59model/conv2d_21/Conv2D FLOAT16 [112, 1, 1, 672] None 60 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
60model/conv2d_22/Conv2D FLOAT16 [672, 1, 1, 112] None 61 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
61model/conv2d_23/Conv2D FLOAT16 [192, 1, 1, 672] None 62 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
62model/conv2d_24/Conv2D FLOAT16 [1152, 1, 1, 192] None 63 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
63model/conv2d_25/Conv2D FLOAT16 [192, 1, 1, 1152] None 64 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
64model/conv2d_26/Conv2D FLOAT16 [1152, 1, 1, 192] None 65 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
65model/conv2d_27/Conv2D FLOAT16 [192, 1, 1, 1152] None 66 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
66model/conv2d_28/Conv2D FLOAT16 [1152, 1, 1, 192] None 67 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
67model/conv2d_29/Conv2D FLOAT16 [192, 1, 1, 1152] None 68 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
68model/conv2d_30/Conv2D FLOAT16 [1152, 1, 1, 192] None 69 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
69model/batch_normalization_1/FusedBatchNormV3;model/depthwise_conv2d/depthwise;model/conv2d_5/Conv2D FLOAT16 [1, 3, 3, 24] None 70 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
70model/batch_normalization_2/FusedBatchNormV3;model/conv2d_1/Conv2D FLOAT16 [16] None 71 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
71model/batch_normalization_4/FusedBatchNormV3;model/depthwise_conv2d_1/depthwise FLOAT16 [1, 3, 3, 64] None 72 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
72model/batch_normalization_5/FusedBatchNormV3;model/conv2d_5/Conv2D;model/conv2d_3/Conv2D FLOAT16 [24] None 73 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
73model/batch_normalization_7/FusedBatchNormV3;model/depthwise_conv2d_2/depthwise;model/depthwise_conv2d_3/depthwise FLOAT16 [1, 3, 3, 144] None 74 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
74model/batch_normalization_8/FusedBatchNormV3;model/conv2d_5/Conv2D FLOAT16 [24] None 75 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
75model/batch_normalization_10/FusedBatchNormV3;model/depthwise_conv2d_3/depthwise FLOAT16 [1, 5, 5, 144] None 76 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
76model/batch_normalization_11/FusedBatchNormV3;model/conv2d_9/Conv2D;model/conv2d_7/Conv2D FLOAT16 [40] None 77 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
77model/batch_normalization_13/FusedBatchNormV3;model/depthwise_conv2d_4/depthwise;model/depthwise_conv2d_5/depthwise FLOAT16 [1, 5, 5, 240] None 78 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
78model/batch_normalization_14/FusedBatchNormV3;model/conv2d_9/Conv2D FLOAT16 [40] None 79 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
79model/batch_normalization_16/FusedBatchNormV3;model/depthwise_conv2d_5/depthwise FLOAT16 [1, 3, 3, 240] None 80 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
80model/batch_normalization_17/FusedBatchNormV3;model/conv2d_15/Conv2D;model/conv2d_11/Conv2D FLOAT16 [80] None 81 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
81model/batch_normalization_19/FusedBatchNormV3;model/depthwise_conv2d_6/depthwise;model/depthwise_conv2d_8/depthwise FLOAT16 [1, 3, 3, 480] None 82 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
82model/batch_normalization_20/FusedBatchNormV3;model/conv2d_15/Conv2D;model/conv2d_13/Conv2D FLOAT16 [80] None 83 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
83model/batch_normalization_22/FusedBatchNormV3;model/depthwise_conv2d_7/depthwise;model/depthwise_conv2d_8/depthwise FLOAT16 [1, 3, 3, 480] None 84 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
84model/batch_normalization_23/FusedBatchNormV3;model/conv2d_15/Conv2D FLOAT16 [80] None 85 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
85model/batch_normalization_25/FusedBatchNormV3;model/depthwise_conv2d_8/depthwise FLOAT16 [1, 5, 5, 480] None 86 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
86model/batch_normalization_26/FusedBatchNormV3;model/conv2d_21/Conv2D;model/conv2d_17/Conv2D FLOAT16 [112] None 87 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
87model/batch_normalization_28/FusedBatchNormV3;model/depthwise_conv2d_9/depthwise;model/depthwise_conv2d_11/depthwise FLOAT16 [1, 5, 5, 672] None 88 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
88model/batch_normalization_29/FusedBatchNormV3;model/conv2d_21/Conv2D;model/conv2d_19/Conv2D FLOAT16 [112] None 89 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
89model/batch_normalization_31/FusedBatchNormV3;model/depthwise_conv2d_10/depthwise;model/depthwise_conv2d_11/depthwise FLOAT16 [1, 5, 5, 672] None 90 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
90model/batch_normalization_32/FusedBatchNormV3;model/conv2d_21/Conv2D FLOAT16 [112] None 91 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
91model/batch_normalization_34/FusedBatchNormV3;model/depthwise_conv2d_11/depthwise FLOAT16 [1, 5, 5, 672] None 92 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
92model/batch_normalization_35/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_23/Conv2D FLOAT16 [192] None 93 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
93model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise FLOAT16 [1, 5, 5, 1152] None 94 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
94model/batch_normalization_38/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_25/Conv2D FLOAT16 [192] None 95 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
95model/batch_normalization_40/FusedBatchNormV3;model/depthwise_conv2d_13/depthwise;model/depthwise_conv2d_15/depthwise FLOAT16 [1, 5, 5, 1152] None 96 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
96model/batch_normalization_41/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_27/Conv2D FLOAT16 [192] None 97 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
97model/batch_normalization_43/FusedBatchNormV3;model/depthwise_conv2d_14/depthwise;model/depthwise_conv2d_15/depthwise FLOAT16 [1, 5, 5, 1152] None 98 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
98model/batch_normalization_44/FusedBatchNormV3;model/conv2d_29/Conv2D FLOAT16 [192] None 99 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
99model/batch_normalization_46/FusedBatchNormV3;model/depthwise_conv2d_15/depthwise FLOAT16 [1, 3, 3, 1152] None 100 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
100model/tf.nn.relu6/Relu6;model/batch_normalization/FusedBatchNormV3;model/batch_normalization_1/FusedBatchNormV3;model/depthwise_conv2d/depthwise;model/conv2d_5/Conv2D;model/conv2d/Conv2D FLOAT32 [1, 112, 112, 24] [-1, 112, 112, 24] 101 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
101model/tf.nn.relu6_1/Relu6;model/batch_normalization_1/FusedBatchNormV3;model/depthwise_conv2d/depthwise;model/conv2d_5/Conv2D FLOAT32 [1, 112, 112, 24] [-1, 112, 112, 24] 102 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
102model/batch_normalization_2/FusedBatchNormV3;model/conv2d_1/Conv2D1 FLOAT32 [1, 112, 112, 16] [-1, 112, 112, 16] 103 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
103model/tf.nn.relu6_2/Relu6;model/batch_normalization_3/FusedBatchNormV3;model/batch_normalization_4/FusedBatchNormV3;model/depthwise_conv2d_1/depthwise;model/conv2d_2/Conv2D FLOAT32 [1, 112, 112, 64] [-1, 112, 112, 64] 104 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
104model/tf.nn.relu6_3/Relu6;model/batch_normalization_4/FusedBatchNormV3;model/depthwise_conv2d_1/depthwise FLOAT32 [1, 56, 56, 64] [-1, 56, 56, 64] 105 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
105model/batch_normalization_5/FusedBatchNormV3;model/conv2d_5/Conv2D;model/conv2d_3/Conv2D1 FLOAT32 [1, 56, 56, 24] [-1, 56, 56, 24] 106 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
106model/tf.nn.relu6_4/Relu6;model/batch_normalization_6/FusedBatchNormV3;model/batch_normalization_10/FusedBatchNormV3;model/depthwise_conv2d_3/depthwise;model/conv2d_4/Conv2D FLOAT32 [1, 56, 56, 144] [-1, 56, 56, 144] 107 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
107model/tf.nn.relu6_5/Relu6;model/batch_normalization_7/FusedBatchNormV3;model/depthwise_conv2d_2/depthwise;model/depthwise_conv2d_3/depthwise FLOAT32 [1, 56, 56, 144] [-1, 56, 56, 144] 108 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
108model/batch_normalization_8/FusedBatchNormV3;model/conv2d_5/Conv2D1 FLOAT32 [1, 56, 56, 24] [-1, 56, 56, 24] 109 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
109model/tf.__operators__.add/AddV2 FLOAT32 [1, 56, 56, 24] [-1, 56, 56, 24] 110 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
110model/tf.nn.relu6_6/Relu6;model/batch_normalization_9/FusedBatchNormV3;model/batch_normalization_10/FusedBatchNormV3;model/depthwise_conv2d_3/depthwise;model/conv2d_6/Conv2D FLOAT32 [1, 56, 56, 144] [-1, 56, 56, 144] 111 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
111model/tf.nn.relu6_7/Relu6;model/batch_normalization_10/FusedBatchNormV3;model/depthwise_conv2d_3/depthwise FLOAT32 [1, 28, 28, 144] [-1, 28, 28, 144] 112 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
112model/batch_normalization_11/FusedBatchNormV3;model/conv2d_9/Conv2D;model/conv2d_7/Conv2D1 FLOAT32 [1, 28, 28, 40] [-1, 28, 28, 40] 113 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
113model/tf.nn.relu6_8/Relu6;model/batch_normalization_12/FusedBatchNormV3;model/batch_normalization_13/FusedBatchNormV3;model/depthwise_conv2d_4/depthwise;model/depthwise_conv2d_5/depthwise;model/conv2d_8/Conv2D FLOAT32 [1, 28, 28, 240] [-1, 28, 28, 240] 114 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
114model/tf.nn.relu6_9/Relu6;model/batch_normalization_13/FusedBatchNormV3;model/depthwise_conv2d_4/depthwise;model/depthwise_conv2d_5/depthwise FLOAT32 [1, 28, 28, 240] [-1, 28, 28, 240] 115 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
115model/batch_normalization_14/FusedBatchNormV3;model/conv2d_9/Conv2D1 FLOAT32 [1, 28, 28, 40] [-1, 28, 28, 40] 116 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
116model/tf.__operators__.add_1/AddV2 FLOAT32 [1, 28, 28, 40] [-1, 28, 28, 40] 117 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
117model/tf.nn.relu6_10/Relu6;model/batch_normalization_15/FusedBatchNormV3;model/batch_normalization_13/FusedBatchNormV3;model/depthwise_conv2d_4/depthwise;model/depthwise_conv2d_5/depthwise;model/conv2d_10/Conv2D FLOAT32 [1, 28, 28, 240] [-1, 28, 28, 240] 118 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
118model/tf.nn.relu6_11/Relu6;model/batch_normalization_16/FusedBatchNormV3;model/depthwise_conv2d_5/depthwise FLOAT32 [1, 14, 14, 240] [-1, 14, 14, 240] 119 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
119model/batch_normalization_17/FusedBatchNormV3;model/conv2d_15/Conv2D;model/conv2d_11/Conv2D1 FLOAT32 [1, 14, 14, 80] [-1, 14, 14, 80] 120 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
120model/tf.nn.relu6_12/Relu6;model/batch_normalization_18/FusedBatchNormV3;model/batch_normalization_25/FusedBatchNormV3;model/depthwise_conv2d_8/depthwise;model/conv2d_12/Conv2D FLOAT32 [1, 14, 14, 480] [-1, 14, 14, 480] 121 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
121model/tf.nn.relu6_13/Relu6;model/batch_normalization_19/FusedBatchNormV3;model/depthwise_conv2d_6/depthwise;model/depthwise_conv2d_8/depthwise FLOAT32 [1, 14, 14, 480] [-1, 14, 14, 480] 122 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
122model/batch_normalization_20/FusedBatchNormV3;model/conv2d_15/Conv2D;model/conv2d_13/Conv2D1 FLOAT32 [1, 14, 14, 80] [-1, 14, 14, 80] 123 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
123model/tf.__operators__.add_2/AddV2 FLOAT32 [1, 14, 14, 80] [-1, 14, 14, 80] 124 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
124model/tf.nn.relu6_14/Relu6;model/batch_normalization_21/FusedBatchNormV3;model/batch_normalization_25/FusedBatchNormV3;model/depthwise_conv2d_8/depthwise;model/conv2d_14/Conv2D FLOAT32 [1, 14, 14, 480] [-1, 14, 14, 480] 125 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
125model/tf.nn.relu6_15/Relu6;model/batch_normalization_22/FusedBatchNormV3;model/depthwise_conv2d_7/depthwise;model/depthwise_conv2d_8/depthwise FLOAT32 [1, 14, 14, 480] [-1, 14, 14, 480] 126 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
126model/batch_normalization_23/FusedBatchNormV3;model/conv2d_15/Conv2D1 FLOAT32 [1, 14, 14, 80] [-1, 14, 14, 80] 127 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
127model/tf.__operators__.add_3/AddV2 FLOAT32 [1, 14, 14, 80] [-1, 14, 14, 80] 128 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
128model/tf.nn.relu6_16/Relu6;model/batch_normalization_24/FusedBatchNormV3;model/batch_normalization_25/FusedBatchNormV3;model/depthwise_conv2d_8/depthwise;model/conv2d_16/Conv2D FLOAT32 [1, 14, 14, 480] [-1, 14, 14, 480] 129 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
129model/tf.nn.relu6_17/Relu6;model/batch_normalization_25/FusedBatchNormV3;model/depthwise_conv2d_8/depthwise FLOAT32 [1, 14, 14, 480] [-1, 14, 14, 480] 130 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
130model/batch_normalization_26/FusedBatchNormV3;model/conv2d_21/Conv2D;model/conv2d_17/Conv2D1 FLOAT32 [1, 14, 14, 112] [-1, 14, 14, 112] 131 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
131model/tf.nn.relu6_18/Relu6;model/batch_normalization_27/FusedBatchNormV3;model/depthwise_conv2d_11/depthwise;model/conv2d_18/Conv2D FLOAT32 [1, 14, 14, 672] [-1, 14, 14, 672] 132 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
132model/tf.nn.relu6_19/Relu6;model/batch_normalization_28/FusedBatchNormV3;model/depthwise_conv2d_9/depthwise;model/depthwise_conv2d_11/depthwise FLOAT32 [1, 14, 14, 672] [-1, 14, 14, 672] 133 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
133model/batch_normalization_29/FusedBatchNormV3;model/conv2d_21/Conv2D;model/conv2d_19/Conv2D1 FLOAT32 [1, 14, 14, 112] [-1, 14, 14, 112] 134 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
134model/tf.__operators__.add_4/AddV2 FLOAT32 [1, 14, 14, 112] [-1, 14, 14, 112] 135 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
135model/tf.nn.relu6_20/Relu6;model/batch_normalization_30/FusedBatchNormV3;model/depthwise_conv2d_11/depthwise;model/conv2d_20/Conv2D FLOAT32 [1, 14, 14, 672] [-1, 14, 14, 672] 136 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
136model/tf.nn.relu6_21/Relu6;model/batch_normalization_31/FusedBatchNormV3;model/depthwise_conv2d_10/depthwise;model/depthwise_conv2d_11/depthwise FLOAT32 [1, 14, 14, 672] [-1, 14, 14, 672] 137 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
137model/batch_normalization_32/FusedBatchNormV3;model/conv2d_21/Conv2D1 FLOAT32 [1, 14, 14, 112] [-1, 14, 14, 112] 138 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
138model/tf.__operators__.add_5/AddV2 FLOAT32 [1, 14, 14, 112] [-1, 14, 14, 112] 139 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
139model/tf.nn.relu6_22/Relu6;model/batch_normalization_33/FusedBatchNormV3;model/depthwise_conv2d_11/depthwise;model/conv2d_22/Conv2D FLOAT32 [1, 14, 14, 672] [-1, 14, 14, 672] 140 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
140model/tf.nn.relu6_23/Relu6;model/batch_normalization_34/FusedBatchNormV3;model/depthwise_conv2d_11/depthwise FLOAT32 [1, 7, 7, 672] [-1, 7, 7, 672] 141 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
141model/batch_normalization_35/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_23/Conv2D1 FLOAT32 [1, 7, 7, 192] [-1, 7, 7, 192] 142 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
142model/tf.nn.relu6_24/Relu6;model/batch_normalization_36/FusedBatchNormV3;model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise;model/conv2d_24/Conv2D FLOAT32 [1, 7, 7, 1152] [-1, 7, 7, 1152] 143 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
143model/tf.nn.relu6_25/Relu6;model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise FLOAT32 [1, 7, 7, 1152] [-1, 7, 7, 1152] 144 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
144model/batch_normalization_38/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_25/Conv2D1 FLOAT32 [1, 7, 7, 192] [-1, 7, 7, 192] 145 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
145model/tf.__operators__.add_6/AddV2 FLOAT32 [1, 7, 7, 192] [-1, 7, 7, 192] 146 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
146model/tf.nn.relu6_26/Relu6;model/batch_normalization_39/FusedBatchNormV3;model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise;model/conv2d_26/Conv2D FLOAT32 [1, 7, 7, 1152] [-1, 7, 7, 1152] 147 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
147model/tf.nn.relu6_27/Relu6;model/batch_normalization_40/FusedBatchNormV3;model/depthwise_conv2d_13/depthwise;model/depthwise_conv2d_15/depthwise FLOAT32 [1, 7, 7, 1152] [-1, 7, 7, 1152] 148 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
148model/batch_normalization_41/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_27/Conv2D1 FLOAT32 [1, 7, 7, 192] [-1, 7, 7, 192] 149 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
149model/tf.__operators__.add_7/AddV2 FLOAT32 [1, 7, 7, 192] [-1, 7, 7, 192] 150 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
150model/tf.nn.relu6_28/Relu6;model/batch_normalization_42/FusedBatchNormV3;model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise;model/conv2d_28/Conv2D FLOAT32 [1, 7, 7, 1152] [-1, 7, 7, 1152] 151 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
151model/tf.nn.relu6_29/Relu6;model/batch_normalization_43/FusedBatchNormV3;model/depthwise_conv2d_14/depthwise;model/depthwise_conv2d_15/depthwise FLOAT32 [1, 7, 7, 1152] [-1, 7, 7, 1152] 152 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
152model/batch_normalization_44/FusedBatchNormV3;model/conv2d_29/Conv2D1 FLOAT32 [1, 7, 7, 192] [-1, 7, 7, 192] 153 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
153model/tf.__operators__.add_8/AddV2 FLOAT32 [1, 7, 7, 192] [-1, 7, 7, 192] 154 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
154model/tf.nn.relu6_30/Relu6;model/batch_normalization_45/FusedBatchNormV3;model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise;model/conv2d_30/Conv2D FLOAT32 [1, 7, 7, 1152] [-1, 7, 7, 1152] 155 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
155model/tf.nn.relu6_31/Relu6;model/batch_normalization_46/FusedBatchNormV3;model/depthwise_conv2d_15/depthwise FLOAT32 [1, 7, 7, 1152] [-1, 7, 7, 1152] 156 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
156model/tf.math.reduce_mean/Mean FLOAT32 [1, 1152] [-1, 1152] 157 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
157Identity_1 FLOAT32 [1, 18] [-1, 18] 158 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
158model/conv_objectflag/MatMul;model/conv_objectflag/BiasAdd FLOAT32 [1, 1] [-1, 1] 159 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
159Identity FLOAT32 [1, 1] [-1, 1] 160 {'details': None, 'details_type': 0, 'max': None, 'min': None, 'quantized_dimension': 0, 'scale': None, 'zero_point': None}
160model/batch_normalization_4/FusedBatchNormV3_dequantize FLOAT32 [64] None 0 None
161model/batch_normalization_15/FusedBatchNormV3_dequantize FLOAT32 [240] None 0 None
162model/batch_normalization_37/FusedBatchNormV3_dequantize FLOAT32 [1152] None 0 None
163model/batch_normalization_43/FusedBatchNormV3;model/depthwise_conv2d_14/depthwise;model/depthwise_conv2d_15/depthwise_dequantize FLOAT32 [1, 5, 5, 1152] None 0 None
164model/batch_normalization_46/FusedBatchNormV3;model/depthwise_conv2d_15/depthwise_dequantize FLOAT32 [1, 3, 3, 1152] None 0 None
165model/batch_normalization_19/FusedBatchNormV3;model/depthwise_conv2d_6/depthwise;model/depthwise_conv2d_8/depthwise_dequantize FLOAT32 [1, 3, 3, 480] None 0 None
166model/conv2d_25/Conv2D_dequantize FLOAT32 [192, 1, 1, 1152] None 0 None
167model/conv2d_7/Conv2D_dequantize FLOAT32 [40, 1, 1, 144] None 0 None
168model/conv2d/Conv2D_dequantize FLOAT32 [24, 3, 3, 3] None 0 None
169model/batch_normalization_30/FusedBatchNormV3_dequantize FLOAT32 [672] None 0 None
170model/conv_objectflag/BiasAdd/ReadVariableOp/resource_dequantize FLOAT32 [1] None 0 None
171model/batch_normalization_8/FusedBatchNormV3;model/conv2d_5/Conv2D_dequantize FLOAT32 [24] None 0 None
172model/conv2d_18/Conv2D_dequantize FLOAT32 [672, 1, 1, 112] None 0 None
173model/batch_normalization_35/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_23/Conv2D_dequantize FLOAT32 [192] None 0 None
174model/conv2d_11/Conv2D_dequantize FLOAT32 [80, 1, 1, 240] None 0 None
175model/batch_normalization_21/FusedBatchNormV3_dequantize FLOAT32 [480] None 0 None
176model/conv2d_29/Conv2D_dequantize FLOAT32 [192, 1, 1, 1152] None 0 None
177model/batch_normalization_45/FusedBatchNormV3_dequantize FLOAT32 [1152] None 0 None
178model/batch_normalization_25/FusedBatchNormV3;model/depthwise_conv2d_8/depthwise_dequantize FLOAT32 [1, 5, 5, 480] None 0 None
179model/batch_normalization_14/FusedBatchNormV3;model/conv2d_9/Conv2D_dequantize FLOAT32 [40] None 0 None
180model/conv2d_22/Conv2D_dequantize FLOAT32 [672, 1, 1, 112] None 0 None
181model/conv2d_4/Conv2D_dequantize FLOAT32 [144, 1, 1, 24] None 0 None
182model/batch_normalization_10/FusedBatchNormV3_dequantize FLOAT32 [144] None 0 None
183model/batch_normalization_27/FusedBatchNormV3_dequantize FLOAT32 [672] None 0 None
184model/batch_normalization_36/FusedBatchNormV3_dequantize FLOAT32 [1152] None 0 None
185model/batch_normalization_41/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_27/Conv2D_dequantize FLOAT32 [192] None 0 None
186model/batch_normalization_44/FusedBatchNormV3;model/conv2d_29/Conv2D_dequantize FLOAT32 [192] None 0 None
187model/batch_normalization_17/FusedBatchNormV3;model/conv2d_15/Conv2D;model/conv2d_11/Conv2D_dequantize FLOAT32 [80] None 0 None
188model/conv2d_24/Conv2D_dequantize FLOAT32 [1152, 1, 1, 192] None 0 None
189model/conv2d_6/Conv2D_dequantize FLOAT32 [144, 1, 1, 24] None 0 None
190model/batch_normalization_39/FusedBatchNormV3_dequantize FLOAT32 [1152] None 0 None
191model/batch_normalization_3/FusedBatchNormV3_dequantize FLOAT32 [64] None 0 None
192model/conv_landmarks/BiasAdd/ReadVariableOp/resource_dequantize FLOAT32 [18] None 0 None
193model/conv_objectflag/MatMul_dequantize FLOAT32 [1, 1152] None 0 None
194model/batch_normalization_34/FusedBatchNormV3;model/depthwise_conv2d_11/depthwise_dequantize FLOAT32 [1, 5, 5, 672] None 0 None
195model/batch_normalization_7/FusedBatchNormV3;model/depthwise_conv2d_2/depthwise;model/depthwise_conv2d_3/depthwise_dequantize FLOAT32 [1, 3, 3, 144] None 0 None
196model/conv2d_17/Conv2D_dequantize FLOAT32 [112, 1, 1, 480] None 0 None
197model/conv2d_10/Conv2D_dequantize FLOAT32 [240, 1, 1, 40] None 0 None
198model/batch_normalization_43/FusedBatchNormV3_dequantize FLOAT32 [1152] None 0 None
199model/batch_normalization_19/FusedBatchNormV3_dequantize FLOAT32 [480] None 0 None
200model/batch_normalization_23/FusedBatchNormV3;model/conv2d_15/Conv2D_dequantize FLOAT32 [80] None 0 None
201model/conv2d_28/Conv2D_dequantize FLOAT32 [1152, 1, 1, 192] None 0 None
202model/batch_normalization_13/FusedBatchNormV3;model/depthwise_conv2d_4/depthwise;model/depthwise_conv2d_5/depthwise_dequantize FLOAT32 [1, 5, 5, 240] None 0 None
203model/conv2d_3/Conv2D_dequantize FLOAT32 [24, 1, 1, 64] None 0 None
204model/batch_normalization_1/FusedBatchNormV3_dequantize FLOAT32 [24] None 0 None
205model/conv2d_21/Conv2D_dequantize FLOAT32 [112, 1, 1, 672] None 0 None
206model/batch_normalization_34/FusedBatchNormV3_dequantize FLOAT32 [672] None 0 None
207model/batch_normalization_40/FusedBatchNormV3;model/depthwise_conv2d_13/depthwise;model/depthwise_conv2d_15/depthwise_dequantize FLOAT32 [1, 5, 5, 1152] None 0 None
208model/batch_normalization_29/FusedBatchNormV3;model/conv2d_21/Conv2D;model/conv2d_19/Conv2D_dequantize FLOAT32 [112] None 0 None
209model/batch_normalization_2/FusedBatchNormV3;model/conv2d_1/Conv2D_dequantize FLOAT32 [16] None 0 None
210model/conv2d_14/Conv2D_dequantize FLOAT32 [480, 1, 1, 80] None 0 None
211model/batch_normalization_7/FusedBatchNormV3_dequantize FLOAT32 [144] None 0 None
212model/batch_normalization_25/FusedBatchNormV3_dequantize FLOAT32 [480] None 0 None
213model/batch_normalization_28/FusedBatchNormV3_dequantize FLOAT32 [672] None 0 None
214model/batch_normalization_32/FusedBatchNormV3;model/conv2d_21/Conv2D_dequantize FLOAT32 [112] None 0 None
215model/batch_normalization_5/FusedBatchNormV3;model/conv2d_5/Conv2D;model/conv2d_3/Conv2D_dequantize FLOAT32 [24] None 0 None
216model/conv2d_16/Conv2D_dequantize FLOAT32 [480, 1, 1, 80] None 0 None
217model/conv2d_9/Conv2D_dequantize FLOAT32 [40, 1, 1, 240] None 0 None
218model/batch_normalization_18/FusedBatchNormV3_dequantize FLOAT32 [480] None 0 None
219model/batch_normalization_42/FusedBatchNormV3_dequantize FLOAT32 [1152] None 0 None
220model/conv_landmarks/MatMul_dequantize FLOAT32 [18, 1152] None 0 None
221model/batch_normalization_22/FusedBatchNormV3;model/depthwise_conv2d_7/depthwise;model/depthwise_conv2d_8/depthwise_dequantize FLOAT32 [1, 3, 3, 480] None 0 None
222model/conv2d_27/Conv2D_dequantize FLOAT32 [192, 1, 1, 1152] None 0 None
223model/conv2d_20/Conv2D_dequantize FLOAT32 [672, 1, 1, 112] None 0 None
224model/conv2d_2/Conv2D_dequantize FLOAT32 [64, 1, 1, 16] None 0 None
225model/batch_normalization/FusedBatchNormV3_dequantize FLOAT32 [24] None 0 None
226model/batch_normalization_33/FusedBatchNormV3_dequantize FLOAT32 [672] None 0 None
227model/batch_normalization_38/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_25/Conv2D_dequantize FLOAT32 [192] None 0 None
228model/batch_normalization_11/FusedBatchNormV3;model/conv2d_9/Conv2D;model/conv2d_7/Conv2D_dequantize FLOAT32 [40] None 0 None
229model/batch_normalization_1/FusedBatchNormV3;model/depthwise_conv2d/depthwise;model/conv2d_5/Conv2D_dequantize FLOAT32 [1, 3, 3, 24] None 0 None
230model/conv2d_13/Conv2D_dequantize FLOAT32 [80, 1, 1, 480] None 0 None
231model/batch_normalization_6/FusedBatchNormV3_dequantize FLOAT32 [144] None 0 None
232model/batch_normalization_24/FusedBatchNormV3_dequantize FLOAT32 [480] None 0 None
233model/batch_normalization_28/FusedBatchNormV3;model/depthwise_conv2d_9/depthwise;model/depthwise_conv2d_11/depthwise_dequantize FLOAT32 [1, 5, 5, 672] None 0 None
234model/batch_normalization_13/FusedBatchNormV3_dequantize FLOAT32 [240] None 0 None
235model/batch_normalization_31/FusedBatchNormV3;model/depthwise_conv2d_10/depthwise;model/depthwise_conv2d_11/depthwise_dequantize FLOAT32 [1, 5, 5, 672] None 0 None
236model/batch_normalization_4/FusedBatchNormV3;model/depthwise_conv2d_1/depthwise_dequantize FLOAT32 [1, 3, 3, 64] None 0 None
237model/conv2d_15/Conv2D_dequantize FLOAT32 [80, 1, 1, 480] None 0 None
238model/batch_normalization_9/FusedBatchNormV3_dequantize FLOAT32 [144] None 0 None
239model/batch_normalization_40/FusedBatchNormV3_dequantize FLOAT32 [1152] None 0 None
240model/batch_normalization_16/FusedBatchNormV3_dequantize FLOAT32 [240] None 0 None
241model/batch_normalization_20/FusedBatchNormV3;model/conv2d_15/Conv2D;model/conv2d_13/Conv2D_dequantize FLOAT32 [80] None 0 None
242model/conv2d_8/Conv2D_dequantize FLOAT32 [240, 1, 1, 40] None 0 None
243model/conv2d_19/Conv2D_dequantize FLOAT32 [112, 1, 1, 672] None 0 None
244model/conv2d_1/Conv2D_dequantize FLOAT32 [16, 1, 1, 24] None 0 None
245model/batch_normalization_31/FusedBatchNormV3_dequantize FLOAT32 [672] None 0 None
246model/conv2d_26/Conv2D_dequantize FLOAT32 [1152, 1, 1, 192] None 0 None
247model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise_dequantize FLOAT32 [1, 5, 5, 1152] None 0 None
248model/batch_normalization_10/FusedBatchNormV3;model/depthwise_conv2d_3/depthwise_dequantize FLOAT32 [1, 5, 5, 144] None 0 None
249model/conv2d_30/Conv2D_dequantize FLOAT32 [1152, 1, 1, 192] None 0 None
250model/conv2d_12/Conv2D_dequantize FLOAT32 [480, 1, 1, 80] None 0 None
251model/batch_normalization_46/FusedBatchNormV3_dequantize FLOAT32 [1152] None 0 None
252model/batch_normalization_22/FusedBatchNormV3_dequantize FLOAT32 [480] None 0 None
253model/batch_normalization_12/FusedBatchNormV3_dequantize FLOAT32 [240] None 0 None
254model/batch_normalization_26/FusedBatchNormV3;model/conv2d_21/Conv2D;model/conv2d_17/Conv2D_dequantize FLOAT32 [112] None 0 None
255model/batch_normalization_16/FusedBatchNormV3;model/depthwise_conv2d_5/depthwise_dequantize FLOAT32 [1, 3, 3, 240] None 0 None
256model/conv2d_23/Conv2D_dequantize FLOAT32 [192, 1, 1, 672] None 0 None
257model/conv2d_5/Conv2D_dequantize FLOAT32 [24, 1, 1, 144] None 0 None

Ops

indexinputsoutputsbuiltin_optionsopcode_index
038 model/conv2d/Conv2D FLOAT16 [24, 3, 3, 3]None
[38]		 168 model/conv2d/Conv2D_dequantize FLOAT32 [24, 3, 3, 3]None
[168]		 None DEQUANTIZE (6)
14 model/batch_normalization/FusedBatchNormV3 FLOAT16 [24]None
[4]		 225 model/batch_normalization/FusedBatchNormV3_dequantize FLOAT32 [24]None
[225]		 None DEQUANTIZE (6)
20 input_1 FLOAT32 [1, 224, 224, 3][-1, 224, 224, 3]
168 model/conv2d/Conv2D_dequantize FLOAT32 [24, 3, 3, 3]None
225 model/batch_normalization/FusedBatchNormV3_dequantize FLOAT32 [24]None
[0, 168, 225]		 100 model/tf.nn.relu6/Relu6;model/batch_normalization/FusedBatchNormV3;model/batch_normalization_1/FusedBatchNormV3;model/depthwise_conv2d/depthwise;model/conv2d_5/Conv2D;model/conv2d/Conv2D FLOAT32 [1, 112, 112, 24][-1, 112, 112, 24]
[100]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 2, 'stride_w': 2} CONV_2D (0)
35 model/batch_normalization_1/FusedBatchNormV3 FLOAT16 [24]None
[5]		 204 model/batch_normalization_1/FusedBatchNormV3_dequantize FLOAT32 [24]None
[204]		 None DEQUANTIZE (6)
469 model/batch_normalization_1/FusedBatchNormV3;model/depthwise_conv2d/depthwise;model/conv2d_5/Conv2D FLOAT16 [1, 3, 3, 24]None
[69]		 229 model/batch_normalization_1/FusedBatchNormV3;model/depthwise_conv2d/depthwise;model/conv2d_5/Conv2D_dequantize FLOAT32 [1, 3, 3, 24]None
[229]		 None DEQUANTIZE (6)
5100 model/tf.nn.relu6/Relu6;model/batch_normalization/FusedBatchNormV3;model/batch_normalization_1/FusedBatchNormV3;model/depthwise_conv2d/depthwise;model/conv2d_5/Conv2D;model/conv2d/Conv2D FLOAT32 [1, 112, 112, 24][-1, 112, 112, 24]
229 model/batch_normalization_1/FusedBatchNormV3;model/depthwise_conv2d/depthwise;model/conv2d_5/Conv2D_dequantize FLOAT32 [1, 3, 3, 24]None
204 model/batch_normalization_1/FusedBatchNormV3_dequantize FLOAT32 [24]None
[100, 229, 204]		 101 model/tf.nn.relu6_1/Relu6;model/batch_normalization_1/FusedBatchNormV3;model/depthwise_conv2d/depthwise;model/conv2d_5/Conv2D FLOAT32 [1, 112, 112, 24][-1, 112, 112, 24]
[101]		 {'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 (1)
670 model/batch_normalization_2/FusedBatchNormV3;model/conv2d_1/Conv2D FLOAT16 [16]None
[70]		 209 model/batch_normalization_2/FusedBatchNormV3;model/conv2d_1/Conv2D_dequantize FLOAT32 [16]None
[209]		 None DEQUANTIZE (6)
739 model/conv2d_1/Conv2D FLOAT16 [16, 1, 1, 24]None
[39]		 244 model/conv2d_1/Conv2D_dequantize FLOAT32 [16, 1, 1, 24]None
[244]		 None DEQUANTIZE (6)
8101 model/tf.nn.relu6_1/Relu6;model/batch_normalization_1/FusedBatchNormV3;model/depthwise_conv2d/depthwise;model/conv2d_5/Conv2D FLOAT32 [1, 112, 112, 24][-1, 112, 112, 24]
244 model/conv2d_1/Conv2D_dequantize FLOAT32 [16, 1, 1, 24]None
209 model/batch_normalization_2/FusedBatchNormV3;model/conv2d_1/Conv2D_dequantize FLOAT32 [16]None
[101, 244, 209]		 102 model/batch_normalization_2/FusedBatchNormV3;model/conv2d_1/Conv2D1 FLOAT32 [1, 112, 112, 16][-1, 112, 112, 16]
[102]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
919 model/batch_normalization_3/FusedBatchNormV3 FLOAT16 [64]None
[19]		 191 model/batch_normalization_3/FusedBatchNormV3_dequantize FLOAT32 [64]None
[191]		 None DEQUANTIZE (6)
1040 model/conv2d_2/Conv2D FLOAT16 [64, 1, 1, 16]None
[40]		 224 model/conv2d_2/Conv2D_dequantize FLOAT32 [64, 1, 1, 16]None
[224]		 None DEQUANTIZE (6)
11102 model/batch_normalization_2/FusedBatchNormV3;model/conv2d_1/Conv2D1 FLOAT32 [1, 112, 112, 16][-1, 112, 112, 16]
224 model/conv2d_2/Conv2D_dequantize FLOAT32 [64, 1, 1, 16]None
191 model/batch_normalization_3/FusedBatchNormV3_dequantize FLOAT32 [64]None
[102, 224, 191]		 103 model/tf.nn.relu6_2/Relu6;model/batch_normalization_3/FusedBatchNormV3;model/batch_normalization_4/FusedBatchNormV3;model/depthwise_conv2d_1/depthwise;model/conv2d_2/Conv2D FLOAT32 [1, 112, 112, 64][-1, 112, 112, 64]
[103]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
1227 model/batch_normalization_4/FusedBatchNormV3 FLOAT16 [64]None
[27]		 160 model/batch_normalization_4/FusedBatchNormV3_dequantize FLOAT32 [64]None
[160]		 None DEQUANTIZE (6)
1371 model/batch_normalization_4/FusedBatchNormV3;model/depthwise_conv2d_1/depthwise FLOAT16 [1, 3, 3, 64]None
[71]		 236 model/batch_normalization_4/FusedBatchNormV3;model/depthwise_conv2d_1/depthwise_dequantize FLOAT32 [1, 3, 3, 64]None
[236]		 None DEQUANTIZE (6)
14103 model/tf.nn.relu6_2/Relu6;model/batch_normalization_3/FusedBatchNormV3;model/batch_normalization_4/FusedBatchNormV3;model/depthwise_conv2d_1/depthwise;model/conv2d_2/Conv2D FLOAT32 [1, 112, 112, 64][-1, 112, 112, 64]
236 model/batch_normalization_4/FusedBatchNormV3;model/depthwise_conv2d_1/depthwise_dequantize FLOAT32 [1, 3, 3, 64]None
160 model/batch_normalization_4/FusedBatchNormV3_dequantize FLOAT32 [64]None
[103, 236, 160]		 104 model/tf.nn.relu6_3/Relu6;model/batch_normalization_4/FusedBatchNormV3;model/depthwise_conv2d_1/depthwise FLOAT32 [1, 56, 56, 64][-1, 56, 56, 64]
[104]		 {'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 (1)
1541 model/conv2d_3/Conv2D FLOAT16 [24, 1, 1, 64]None
[41]		 203 model/conv2d_3/Conv2D_dequantize FLOAT32 [24, 1, 1, 64]None
[203]		 None DEQUANTIZE (6)
1672 model/batch_normalization_5/FusedBatchNormV3;model/conv2d_5/Conv2D;model/conv2d_3/Conv2D FLOAT16 [24]None
[72]		 215 model/batch_normalization_5/FusedBatchNormV3;model/conv2d_5/Conv2D;model/conv2d_3/Conv2D_dequantize FLOAT32 [24]None
[215]		 None DEQUANTIZE (6)
17104 model/tf.nn.relu6_3/Relu6;model/batch_normalization_4/FusedBatchNormV3;model/depthwise_conv2d_1/depthwise FLOAT32 [1, 56, 56, 64][-1, 56, 56, 64]
203 model/conv2d_3/Conv2D_dequantize FLOAT32 [24, 1, 1, 64]None
215 model/batch_normalization_5/FusedBatchNormV3;model/conv2d_5/Conv2D;model/conv2d_3/Conv2D_dequantize FLOAT32 [24]None
[104, 203, 215]		 105 model/batch_normalization_5/FusedBatchNormV3;model/conv2d_5/Conv2D;model/conv2d_3/Conv2D1 FLOAT32 [1, 56, 56, 24][-1, 56, 56, 24]
[105]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
1842 model/conv2d_4/Conv2D FLOAT16 [144, 1, 1, 24]None
[42]		 181 model/conv2d_4/Conv2D_dequantize FLOAT32 [144, 1, 1, 24]None
[181]		 None DEQUANTIZE (6)
1933 model/batch_normalization_6/FusedBatchNormV3 FLOAT16 [144]None
[33]		 231 model/batch_normalization_6/FusedBatchNormV3_dequantize FLOAT32 [144]None
[231]		 None DEQUANTIZE (6)
20105 model/batch_normalization_5/FusedBatchNormV3;model/conv2d_5/Conv2D;model/conv2d_3/Conv2D1 FLOAT32 [1, 56, 56, 24][-1, 56, 56, 24]
181 model/conv2d_4/Conv2D_dequantize FLOAT32 [144, 1, 1, 24]None
231 model/batch_normalization_6/FusedBatchNormV3_dequantize FLOAT32 [144]None
[105, 181, 231]		 106 model/tf.nn.relu6_4/Relu6;model/batch_normalization_6/FusedBatchNormV3;model/batch_normalization_10/FusedBatchNormV3;model/depthwise_conv2d_3/depthwise;model/conv2d_4/Conv2D FLOAT32 [1, 56, 56, 144][-1, 56, 56, 144]
[106]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
2173 model/batch_normalization_7/FusedBatchNormV3;model/depthwise_conv2d_2/depthwise;model/depthwise_conv2d_3/depthwise FLOAT16 [1, 3, 3, 144]None
[73]		 195 model/batch_normalization_7/FusedBatchNormV3;model/depthwise_conv2d_2/depthwise;model/depthwise_conv2d_3/depthwise_dequantize FLOAT32 [1, 3, 3, 144]None
[195]		 None DEQUANTIZE (6)
2234 model/batch_normalization_7/FusedBatchNormV3 FLOAT16 [144]None
[34]		 211 model/batch_normalization_7/FusedBatchNormV3_dequantize FLOAT32 [144]None
[211]		 None DEQUANTIZE (6)
23106 model/tf.nn.relu6_4/Relu6;model/batch_normalization_6/FusedBatchNormV3;model/batch_normalization_10/FusedBatchNormV3;model/depthwise_conv2d_3/depthwise;model/conv2d_4/Conv2D FLOAT32 [1, 56, 56, 144][-1, 56, 56, 144]
195 model/batch_normalization_7/FusedBatchNormV3;model/depthwise_conv2d_2/depthwise;model/depthwise_conv2d_3/depthwise_dequantize FLOAT32 [1, 3, 3, 144]None
211 model/batch_normalization_7/FusedBatchNormV3_dequantize FLOAT32 [144]None
[106, 195, 211]		 107 model/tf.nn.relu6_5/Relu6;model/batch_normalization_7/FusedBatchNormV3;model/depthwise_conv2d_2/depthwise;model/depthwise_conv2d_3/depthwise FLOAT32 [1, 56, 56, 144][-1, 56, 56, 144]
[107]		 {'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 (1)
2474 model/batch_normalization_8/FusedBatchNormV3;model/conv2d_5/Conv2D FLOAT16 [24]None
[74]		 171 model/batch_normalization_8/FusedBatchNormV3;model/conv2d_5/Conv2D_dequantize FLOAT32 [24]None
[171]		 None DEQUANTIZE (6)
2543 model/conv2d_5/Conv2D FLOAT16 [24, 1, 1, 144]None
[43]		 257 model/conv2d_5/Conv2D_dequantize FLOAT32 [24, 1, 1, 144]None
[257]		 None DEQUANTIZE (6)
26107 model/tf.nn.relu6_5/Relu6;model/batch_normalization_7/FusedBatchNormV3;model/depthwise_conv2d_2/depthwise;model/depthwise_conv2d_3/depthwise FLOAT32 [1, 56, 56, 144][-1, 56, 56, 144]
257 model/conv2d_5/Conv2D_dequantize FLOAT32 [24, 1, 1, 144]None
171 model/batch_normalization_8/FusedBatchNormV3;model/conv2d_5/Conv2D_dequantize FLOAT32 [24]None
[107, 257, 171]		 108 model/batch_normalization_8/FusedBatchNormV3;model/conv2d_5/Conv2D1 FLOAT32 [1, 56, 56, 24][-1, 56, 56, 24]
[108]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
27108 model/batch_normalization_8/FusedBatchNormV3;model/conv2d_5/Conv2D1 FLOAT32 [1, 56, 56, 24][-1, 56, 56, 24]
105 model/batch_normalization_5/FusedBatchNormV3;model/conv2d_5/Conv2D;model/conv2d_3/Conv2D1 FLOAT32 [1, 56, 56, 24][-1, 56, 56, 24]
[108, 105]		 109 model/tf.__operators__.add/AddV2 FLOAT32 [1, 56, 56, 24][-1, 56, 56, 24]
[109]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (2)
2844 model/conv2d_6/Conv2D FLOAT16 [144, 1, 1, 24]None
[44]		 189 model/conv2d_6/Conv2D_dequantize FLOAT32 [144, 1, 1, 24]None
[189]		 None DEQUANTIZE (6)
2935 model/batch_normalization_9/FusedBatchNormV3 FLOAT16 [144]None
[35]		 238 model/batch_normalization_9/FusedBatchNormV3_dequantize FLOAT32 [144]None
[238]		 None DEQUANTIZE (6)
30109 model/tf.__operators__.add/AddV2 FLOAT32 [1, 56, 56, 24][-1, 56, 56, 24]
189 model/conv2d_6/Conv2D_dequantize FLOAT32 [144, 1, 1, 24]None
238 model/batch_normalization_9/FusedBatchNormV3_dequantize FLOAT32 [144]None
[109, 189, 238]		 110 model/tf.nn.relu6_6/Relu6;model/batch_normalization_9/FusedBatchNormV3;model/batch_normalization_10/FusedBatchNormV3;model/depthwise_conv2d_3/depthwise;model/conv2d_6/Conv2D FLOAT32 [1, 56, 56, 144][-1, 56, 56, 144]
[110]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
316 model/batch_normalization_10/FusedBatchNormV3 FLOAT16 [144]None
[6]		 182 model/batch_normalization_10/FusedBatchNormV3_dequantize FLOAT32 [144]None
[182]		 None DEQUANTIZE (6)
3275 model/batch_normalization_10/FusedBatchNormV3;model/depthwise_conv2d_3/depthwise FLOAT16 [1, 5, 5, 144]None
[75]		 248 model/batch_normalization_10/FusedBatchNormV3;model/depthwise_conv2d_3/depthwise_dequantize FLOAT32 [1, 5, 5, 144]None
[248]		 None DEQUANTIZE (6)
33110 model/tf.nn.relu6_6/Relu6;model/batch_normalization_9/FusedBatchNormV3;model/batch_normalization_10/FusedBatchNormV3;model/depthwise_conv2d_3/depthwise;model/conv2d_6/Conv2D FLOAT32 [1, 56, 56, 144][-1, 56, 56, 144]
248 model/batch_normalization_10/FusedBatchNormV3;model/depthwise_conv2d_3/depthwise_dequantize FLOAT32 [1, 5, 5, 144]None
182 model/batch_normalization_10/FusedBatchNormV3_dequantize FLOAT32 [144]None
[110, 248, 182]		 111 model/tf.nn.relu6_7/Relu6;model/batch_normalization_10/FusedBatchNormV3;model/depthwise_conv2d_3/depthwise FLOAT32 [1, 28, 28, 144][-1, 28, 28, 144]
[111]		 {'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 (1)
3445 model/conv2d_7/Conv2D FLOAT16 [40, 1, 1, 144]None
[45]		 167 model/conv2d_7/Conv2D_dequantize FLOAT32 [40, 1, 1, 144]None
[167]		 None DEQUANTIZE (6)
3576 model/batch_normalization_11/FusedBatchNormV3;model/conv2d_9/Conv2D;model/conv2d_7/Conv2D FLOAT16 [40]None
[76]		 228 model/batch_normalization_11/FusedBatchNormV3;model/conv2d_9/Conv2D;model/conv2d_7/Conv2D_dequantize FLOAT32 [40]None
[228]		 None DEQUANTIZE (6)
36111 model/tf.nn.relu6_7/Relu6;model/batch_normalization_10/FusedBatchNormV3;model/depthwise_conv2d_3/depthwise FLOAT32 [1, 28, 28, 144][-1, 28, 28, 144]
167 model/conv2d_7/Conv2D_dequantize FLOAT32 [40, 1, 1, 144]None
228 model/batch_normalization_11/FusedBatchNormV3;model/conv2d_9/Conv2D;model/conv2d_7/Conv2D_dequantize FLOAT32 [40]None
[111, 167, 228]		 112 model/batch_normalization_11/FusedBatchNormV3;model/conv2d_9/Conv2D;model/conv2d_7/Conv2D1 FLOAT32 [1, 28, 28, 40][-1, 28, 28, 40]
[112]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
3746 model/conv2d_8/Conv2D FLOAT16 [240, 1, 1, 40]None
[46]		 242 model/conv2d_8/Conv2D_dequantize FLOAT32 [240, 1, 1, 40]None
[242]		 None DEQUANTIZE (6)
387 model/batch_normalization_12/FusedBatchNormV3 FLOAT16 [240]None
[7]		 253 model/batch_normalization_12/FusedBatchNormV3_dequantize FLOAT32 [240]None
[253]		 None DEQUANTIZE (6)
39112 model/batch_normalization_11/FusedBatchNormV3;model/conv2d_9/Conv2D;model/conv2d_7/Conv2D1 FLOAT32 [1, 28, 28, 40][-1, 28, 28, 40]
242 model/conv2d_8/Conv2D_dequantize FLOAT32 [240, 1, 1, 40]None
253 model/batch_normalization_12/FusedBatchNormV3_dequantize FLOAT32 [240]None
[112, 242, 253]		 113 model/tf.nn.relu6_8/Relu6;model/batch_normalization_12/FusedBatchNormV3;model/batch_normalization_13/FusedBatchNormV3;model/depthwise_conv2d_4/depthwise;model/depthwise_conv2d_5/depthwise;model/conv2d_8/Conv2D FLOAT32 [1, 28, 28, 240][-1, 28, 28, 240]
[113]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
4077 model/batch_normalization_13/FusedBatchNormV3;model/depthwise_conv2d_4/depthwise;model/depthwise_conv2d_5/depthwise FLOAT16 [1, 5, 5, 240]None
[77]		 202 model/batch_normalization_13/FusedBatchNormV3;model/depthwise_conv2d_4/depthwise;model/depthwise_conv2d_5/depthwise_dequantize FLOAT32 [1, 5, 5, 240]None
[202]		 None DEQUANTIZE (6)
418 model/batch_normalization_13/FusedBatchNormV3 FLOAT16 [240]None
[8]		 234 model/batch_normalization_13/FusedBatchNormV3_dequantize FLOAT32 [240]None
[234]		 None DEQUANTIZE (6)
42113 model/tf.nn.relu6_8/Relu6;model/batch_normalization_12/FusedBatchNormV3;model/batch_normalization_13/FusedBatchNormV3;model/depthwise_conv2d_4/depthwise;model/depthwise_conv2d_5/depthwise;model/conv2d_8/Conv2D FLOAT32 [1, 28, 28, 240][-1, 28, 28, 240]
202 model/batch_normalization_13/FusedBatchNormV3;model/depthwise_conv2d_4/depthwise;model/depthwise_conv2d_5/depthwise_dequantize FLOAT32 [1, 5, 5, 240]None
234 model/batch_normalization_13/FusedBatchNormV3_dequantize FLOAT32 [240]None
[113, 202, 234]		 114 model/tf.nn.relu6_9/Relu6;model/batch_normalization_13/FusedBatchNormV3;model/depthwise_conv2d_4/depthwise;model/depthwise_conv2d_5/depthwise FLOAT32 [1, 28, 28, 240][-1, 28, 28, 240]
[114]		 {'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 (1)
4378 model/batch_normalization_14/FusedBatchNormV3;model/conv2d_9/Conv2D FLOAT16 [40]None
[78]		 179 model/batch_normalization_14/FusedBatchNormV3;model/conv2d_9/Conv2D_dequantize FLOAT32 [40]None
[179]		 None DEQUANTIZE (6)
4447 model/conv2d_9/Conv2D FLOAT16 [40, 1, 1, 240]None
[47]		 217 model/conv2d_9/Conv2D_dequantize FLOAT32 [40, 1, 1, 240]None
[217]		 None DEQUANTIZE (6)
45114 model/tf.nn.relu6_9/Relu6;model/batch_normalization_13/FusedBatchNormV3;model/depthwise_conv2d_4/depthwise;model/depthwise_conv2d_5/depthwise FLOAT32 [1, 28, 28, 240][-1, 28, 28, 240]
217 model/conv2d_9/Conv2D_dequantize FLOAT32 [40, 1, 1, 240]None
179 model/batch_normalization_14/FusedBatchNormV3;model/conv2d_9/Conv2D_dequantize FLOAT32 [40]None
[114, 217, 179]		 115 model/batch_normalization_14/FusedBatchNormV3;model/conv2d_9/Conv2D1 FLOAT32 [1, 28, 28, 40][-1, 28, 28, 40]
[115]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
46115 model/batch_normalization_14/FusedBatchNormV3;model/conv2d_9/Conv2D1 FLOAT32 [1, 28, 28, 40][-1, 28, 28, 40]
112 model/batch_normalization_11/FusedBatchNormV3;model/conv2d_9/Conv2D;model/conv2d_7/Conv2D1 FLOAT32 [1, 28, 28, 40][-1, 28, 28, 40]
[115, 112]		 116 model/tf.__operators__.add_1/AddV2 FLOAT32 [1, 28, 28, 40][-1, 28, 28, 40]
[116]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (2)
479 model/batch_normalization_15/FusedBatchNormV3 FLOAT16 [240]None
[9]		 161 model/batch_normalization_15/FusedBatchNormV3_dequantize FLOAT32 [240]None
[161]		 None DEQUANTIZE (6)
4848 model/conv2d_10/Conv2D FLOAT16 [240, 1, 1, 40]None
[48]		 197 model/conv2d_10/Conv2D_dequantize FLOAT32 [240, 1, 1, 40]None
[197]		 None DEQUANTIZE (6)
49116 model/tf.__operators__.add_1/AddV2 FLOAT32 [1, 28, 28, 40][-1, 28, 28, 40]
197 model/conv2d_10/Conv2D_dequantize FLOAT32 [240, 1, 1, 40]None
161 model/batch_normalization_15/FusedBatchNormV3_dequantize FLOAT32 [240]None
[116, 197, 161]		 117 model/tf.nn.relu6_10/Relu6;model/batch_normalization_15/FusedBatchNormV3;model/batch_normalization_13/FusedBatchNormV3;model/depthwise_conv2d_4/depthwise;model/depthwise_conv2d_5/depthwise;model/conv2d_10/Conv2D FLOAT32 [1, 28, 28, 240][-1, 28, 28, 240]
[117]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
5010 model/batch_normalization_16/FusedBatchNormV3 FLOAT16 [240]None
[10]		 240 model/batch_normalization_16/FusedBatchNormV3_dequantize FLOAT32 [240]None
[240]		 None DEQUANTIZE (6)
5179 model/batch_normalization_16/FusedBatchNormV3;model/depthwise_conv2d_5/depthwise FLOAT16 [1, 3, 3, 240]None
[79]		 255 model/batch_normalization_16/FusedBatchNormV3;model/depthwise_conv2d_5/depthwise_dequantize FLOAT32 [1, 3, 3, 240]None
[255]		 None DEQUANTIZE (6)
52117 model/tf.nn.relu6_10/Relu6;model/batch_normalization_15/FusedBatchNormV3;model/batch_normalization_13/FusedBatchNormV3;model/depthwise_conv2d_4/depthwise;model/depthwise_conv2d_5/depthwise;model/conv2d_10/Conv2D FLOAT32 [1, 28, 28, 240][-1, 28, 28, 240]
255 model/batch_normalization_16/FusedBatchNormV3;model/depthwise_conv2d_5/depthwise_dequantize FLOAT32 [1, 3, 3, 240]None
240 model/batch_normalization_16/FusedBatchNormV3_dequantize FLOAT32 [240]None
[117, 255, 240]		 118 model/tf.nn.relu6_11/Relu6;model/batch_normalization_16/FusedBatchNormV3;model/depthwise_conv2d_5/depthwise FLOAT32 [1, 14, 14, 240][-1, 14, 14, 240]
[118]		 {'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 (1)
5349 model/conv2d_11/Conv2D FLOAT16 [80, 1, 1, 240]None
[49]		 174 model/conv2d_11/Conv2D_dequantize FLOAT32 [80, 1, 1, 240]None
[174]		 None DEQUANTIZE (6)
5480 model/batch_normalization_17/FusedBatchNormV3;model/conv2d_15/Conv2D;model/conv2d_11/Conv2D FLOAT16 [80]None
[80]		 187 model/batch_normalization_17/FusedBatchNormV3;model/conv2d_15/Conv2D;model/conv2d_11/Conv2D_dequantize FLOAT32 [80]None
[187]		 None DEQUANTIZE (6)
55118 model/tf.nn.relu6_11/Relu6;model/batch_normalization_16/FusedBatchNormV3;model/depthwise_conv2d_5/depthwise FLOAT32 [1, 14, 14, 240][-1, 14, 14, 240]
174 model/conv2d_11/Conv2D_dequantize FLOAT32 [80, 1, 1, 240]None
187 model/batch_normalization_17/FusedBatchNormV3;model/conv2d_15/Conv2D;model/conv2d_11/Conv2D_dequantize FLOAT32 [80]None
[118, 174, 187]		 119 model/batch_normalization_17/FusedBatchNormV3;model/conv2d_15/Conv2D;model/conv2d_11/Conv2D1 FLOAT32 [1, 14, 14, 80][-1, 14, 14, 80]
[119]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
5611 model/batch_normalization_18/FusedBatchNormV3 FLOAT16 [480]None
[11]		 218 model/batch_normalization_18/FusedBatchNormV3_dequantize FLOAT32 [480]None
[218]		 None DEQUANTIZE (6)
5750 model/conv2d_12/Conv2D FLOAT16 [480, 1, 1, 80]None
[50]		 250 model/conv2d_12/Conv2D_dequantize FLOAT32 [480, 1, 1, 80]None
[250]		 None DEQUANTIZE (6)
58119 model/batch_normalization_17/FusedBatchNormV3;model/conv2d_15/Conv2D;model/conv2d_11/Conv2D1 FLOAT32 [1, 14, 14, 80][-1, 14, 14, 80]
250 model/conv2d_12/Conv2D_dequantize FLOAT32 [480, 1, 1, 80]None
218 model/batch_normalization_18/FusedBatchNormV3_dequantize FLOAT32 [480]None
[119, 250, 218]		 120 model/tf.nn.relu6_12/Relu6;model/batch_normalization_18/FusedBatchNormV3;model/batch_normalization_25/FusedBatchNormV3;model/depthwise_conv2d_8/depthwise;model/conv2d_12/Conv2D FLOAT32 [1, 14, 14, 480][-1, 14, 14, 480]
[120]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
5981 model/batch_normalization_19/FusedBatchNormV3;model/depthwise_conv2d_6/depthwise;model/depthwise_conv2d_8/depthwise FLOAT16 [1, 3, 3, 480]None
[81]		 165 model/batch_normalization_19/FusedBatchNormV3;model/depthwise_conv2d_6/depthwise;model/depthwise_conv2d_8/depthwise_dequantize FLOAT32 [1, 3, 3, 480]None
[165]		 None DEQUANTIZE (6)
6012 model/batch_normalization_19/FusedBatchNormV3 FLOAT16 [480]None
[12]		 199 model/batch_normalization_19/FusedBatchNormV3_dequantize FLOAT32 [480]None
[199]		 None DEQUANTIZE (6)
61120 model/tf.nn.relu6_12/Relu6;model/batch_normalization_18/FusedBatchNormV3;model/batch_normalization_25/FusedBatchNormV3;model/depthwise_conv2d_8/depthwise;model/conv2d_12/Conv2D FLOAT32 [1, 14, 14, 480][-1, 14, 14, 480]
165 model/batch_normalization_19/FusedBatchNormV3;model/depthwise_conv2d_6/depthwise;model/depthwise_conv2d_8/depthwise_dequantize FLOAT32 [1, 3, 3, 480]None
199 model/batch_normalization_19/FusedBatchNormV3_dequantize FLOAT32 [480]None
[120, 165, 199]		 121 model/tf.nn.relu6_13/Relu6;model/batch_normalization_19/FusedBatchNormV3;model/depthwise_conv2d_6/depthwise;model/depthwise_conv2d_8/depthwise FLOAT32 [1, 14, 14, 480][-1, 14, 14, 480]
[121]		 {'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 (1)
6251 model/conv2d_13/Conv2D FLOAT16 [80, 1, 1, 480]None
[51]		 230 model/conv2d_13/Conv2D_dequantize FLOAT32 [80, 1, 1, 480]None
[230]		 None DEQUANTIZE (6)
6382 model/batch_normalization_20/FusedBatchNormV3;model/conv2d_15/Conv2D;model/conv2d_13/Conv2D FLOAT16 [80]None
[82]		 241 model/batch_normalization_20/FusedBatchNormV3;model/conv2d_15/Conv2D;model/conv2d_13/Conv2D_dequantize FLOAT32 [80]None
[241]		 None DEQUANTIZE (6)
64121 model/tf.nn.relu6_13/Relu6;model/batch_normalization_19/FusedBatchNormV3;model/depthwise_conv2d_6/depthwise;model/depthwise_conv2d_8/depthwise FLOAT32 [1, 14, 14, 480][-1, 14, 14, 480]
230 model/conv2d_13/Conv2D_dequantize FLOAT32 [80, 1, 1, 480]None
241 model/batch_normalization_20/FusedBatchNormV3;model/conv2d_15/Conv2D;model/conv2d_13/Conv2D_dequantize FLOAT32 [80]None
[121, 230, 241]		 122 model/batch_normalization_20/FusedBatchNormV3;model/conv2d_15/Conv2D;model/conv2d_13/Conv2D1 FLOAT32 [1, 14, 14, 80][-1, 14, 14, 80]
[122]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
65122 model/batch_normalization_20/FusedBatchNormV3;model/conv2d_15/Conv2D;model/conv2d_13/Conv2D1 FLOAT32 [1, 14, 14, 80][-1, 14, 14, 80]
119 model/batch_normalization_17/FusedBatchNormV3;model/conv2d_15/Conv2D;model/conv2d_11/Conv2D1 FLOAT32 [1, 14, 14, 80][-1, 14, 14, 80]
[122, 119]		 123 model/tf.__operators__.add_2/AddV2 FLOAT32 [1, 14, 14, 80][-1, 14, 14, 80]
[123]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (2)
6613 model/batch_normalization_21/FusedBatchNormV3 FLOAT16 [480]None
[13]		 175 model/batch_normalization_21/FusedBatchNormV3_dequantize FLOAT32 [480]None
[175]		 None DEQUANTIZE (6)
6752 model/conv2d_14/Conv2D FLOAT16 [480, 1, 1, 80]None
[52]		 210 model/conv2d_14/Conv2D_dequantize FLOAT32 [480, 1, 1, 80]None
[210]		 None DEQUANTIZE (6)
68123 model/tf.__operators__.add_2/AddV2 FLOAT32 [1, 14, 14, 80][-1, 14, 14, 80]
210 model/conv2d_14/Conv2D_dequantize FLOAT32 [480, 1, 1, 80]None
175 model/batch_normalization_21/FusedBatchNormV3_dequantize FLOAT32 [480]None
[123, 210, 175]		 124 model/tf.nn.relu6_14/Relu6;model/batch_normalization_21/FusedBatchNormV3;model/batch_normalization_25/FusedBatchNormV3;model/depthwise_conv2d_8/depthwise;model/conv2d_14/Conv2D FLOAT32 [1, 14, 14, 480][-1, 14, 14, 480]
[124]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
6983 model/batch_normalization_22/FusedBatchNormV3;model/depthwise_conv2d_7/depthwise;model/depthwise_conv2d_8/depthwise FLOAT16 [1, 3, 3, 480]None
[83]		 221 model/batch_normalization_22/FusedBatchNormV3;model/depthwise_conv2d_7/depthwise;model/depthwise_conv2d_8/depthwise_dequantize FLOAT32 [1, 3, 3, 480]None
[221]		 None DEQUANTIZE (6)
7014 model/batch_normalization_22/FusedBatchNormV3 FLOAT16 [480]None
[14]		 252 model/batch_normalization_22/FusedBatchNormV3_dequantize FLOAT32 [480]None
[252]		 None DEQUANTIZE (6)
71124 model/tf.nn.relu6_14/Relu6;model/batch_normalization_21/FusedBatchNormV3;model/batch_normalization_25/FusedBatchNormV3;model/depthwise_conv2d_8/depthwise;model/conv2d_14/Conv2D FLOAT32 [1, 14, 14, 480][-1, 14, 14, 480]
221 model/batch_normalization_22/FusedBatchNormV3;model/depthwise_conv2d_7/depthwise;model/depthwise_conv2d_8/depthwise_dequantize FLOAT32 [1, 3, 3, 480]None
252 model/batch_normalization_22/FusedBatchNormV3_dequantize FLOAT32 [480]None
[124, 221, 252]		 125 model/tf.nn.relu6_15/Relu6;model/batch_normalization_22/FusedBatchNormV3;model/depthwise_conv2d_7/depthwise;model/depthwise_conv2d_8/depthwise FLOAT32 [1, 14, 14, 480][-1, 14, 14, 480]
[125]		 {'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 (1)
7284 model/batch_normalization_23/FusedBatchNormV3;model/conv2d_15/Conv2D FLOAT16 [80]None
[84]		 200 model/batch_normalization_23/FusedBatchNormV3;model/conv2d_15/Conv2D_dequantize FLOAT32 [80]None
[200]		 None DEQUANTIZE (6)
7353 model/conv2d_15/Conv2D FLOAT16 [80, 1, 1, 480]None
[53]		 237 model/conv2d_15/Conv2D_dequantize FLOAT32 [80, 1, 1, 480]None
[237]		 None DEQUANTIZE (6)
74125 model/tf.nn.relu6_15/Relu6;model/batch_normalization_22/FusedBatchNormV3;model/depthwise_conv2d_7/depthwise;model/depthwise_conv2d_8/depthwise FLOAT32 [1, 14, 14, 480][-1, 14, 14, 480]
237 model/conv2d_15/Conv2D_dequantize FLOAT32 [80, 1, 1, 480]None
200 model/batch_normalization_23/FusedBatchNormV3;model/conv2d_15/Conv2D_dequantize FLOAT32 [80]None
[125, 237, 200]		 126 model/batch_normalization_23/FusedBatchNormV3;model/conv2d_15/Conv2D1 FLOAT32 [1, 14, 14, 80][-1, 14, 14, 80]
[126]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
75126 model/batch_normalization_23/FusedBatchNormV3;model/conv2d_15/Conv2D1 FLOAT32 [1, 14, 14, 80][-1, 14, 14, 80]
123 model/tf.__operators__.add_2/AddV2 FLOAT32 [1, 14, 14, 80][-1, 14, 14, 80]
[126, 123]		 127 model/tf.__operators__.add_3/AddV2 FLOAT32 [1, 14, 14, 80][-1, 14, 14, 80]
[127]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (2)
7654 model/conv2d_16/Conv2D FLOAT16 [480, 1, 1, 80]None
[54]		 216 model/conv2d_16/Conv2D_dequantize FLOAT32 [480, 1, 1, 80]None
[216]		 None DEQUANTIZE (6)
7715 model/batch_normalization_24/FusedBatchNormV3 FLOAT16 [480]None
[15]		 232 model/batch_normalization_24/FusedBatchNormV3_dequantize FLOAT32 [480]None
[232]		 None DEQUANTIZE (6)
78127 model/tf.__operators__.add_3/AddV2 FLOAT32 [1, 14, 14, 80][-1, 14, 14, 80]
216 model/conv2d_16/Conv2D_dequantize FLOAT32 [480, 1, 1, 80]None
232 model/batch_normalization_24/FusedBatchNormV3_dequantize FLOAT32 [480]None
[127, 216, 232]		 128 model/tf.nn.relu6_16/Relu6;model/batch_normalization_24/FusedBatchNormV3;model/batch_normalization_25/FusedBatchNormV3;model/depthwise_conv2d_8/depthwise;model/conv2d_16/Conv2D FLOAT32 [1, 14, 14, 480][-1, 14, 14, 480]
[128]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
7985 model/batch_normalization_25/FusedBatchNormV3;model/depthwise_conv2d_8/depthwise FLOAT16 [1, 5, 5, 480]None
[85]		 178 model/batch_normalization_25/FusedBatchNormV3;model/depthwise_conv2d_8/depthwise_dequantize FLOAT32 [1, 5, 5, 480]None
[178]		 None DEQUANTIZE (6)
8016 model/batch_normalization_25/FusedBatchNormV3 FLOAT16 [480]None
[16]		 212 model/batch_normalization_25/FusedBatchNormV3_dequantize FLOAT32 [480]None
[212]		 None DEQUANTIZE (6)
81128 model/tf.nn.relu6_16/Relu6;model/batch_normalization_24/FusedBatchNormV3;model/batch_normalization_25/FusedBatchNormV3;model/depthwise_conv2d_8/depthwise;model/conv2d_16/Conv2D FLOAT32 [1, 14, 14, 480][-1, 14, 14, 480]
178 model/batch_normalization_25/FusedBatchNormV3;model/depthwise_conv2d_8/depthwise_dequantize FLOAT32 [1, 5, 5, 480]None
212 model/batch_normalization_25/FusedBatchNormV3_dequantize FLOAT32 [480]None
[128, 178, 212]		 129 model/tf.nn.relu6_17/Relu6;model/batch_normalization_25/FusedBatchNormV3;model/depthwise_conv2d_8/depthwise FLOAT32 [1, 14, 14, 480][-1, 14, 14, 480]
[129]		 {'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 (1)
8255 model/conv2d_17/Conv2D FLOAT16 [112, 1, 1, 480]None
[55]		 196 model/conv2d_17/Conv2D_dequantize FLOAT32 [112, 1, 1, 480]None
[196]		 None DEQUANTIZE (6)
8386 model/batch_normalization_26/FusedBatchNormV3;model/conv2d_21/Conv2D;model/conv2d_17/Conv2D FLOAT16 [112]None
[86]		 254 model/batch_normalization_26/FusedBatchNormV3;model/conv2d_21/Conv2D;model/conv2d_17/Conv2D_dequantize FLOAT32 [112]None
[254]		 None DEQUANTIZE (6)
84129 model/tf.nn.relu6_17/Relu6;model/batch_normalization_25/FusedBatchNormV3;model/depthwise_conv2d_8/depthwise FLOAT32 [1, 14, 14, 480][-1, 14, 14, 480]
196 model/conv2d_17/Conv2D_dequantize FLOAT32 [112, 1, 1, 480]None
254 model/batch_normalization_26/FusedBatchNormV3;model/conv2d_21/Conv2D;model/conv2d_17/Conv2D_dequantize FLOAT32 [112]None
[129, 196, 254]		 130 model/batch_normalization_26/FusedBatchNormV3;model/conv2d_21/Conv2D;model/conv2d_17/Conv2D1 FLOAT32 [1, 14, 14, 112][-1, 14, 14, 112]
[130]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
8556 model/conv2d_18/Conv2D FLOAT16 [672, 1, 1, 112]None
[56]		 172 model/conv2d_18/Conv2D_dequantize FLOAT32 [672, 1, 1, 112]None
[172]		 None DEQUANTIZE (6)
8617 model/batch_normalization_27/FusedBatchNormV3 FLOAT16 [672]None
[17]		 183 model/batch_normalization_27/FusedBatchNormV3_dequantize FLOAT32 [672]None
[183]		 None DEQUANTIZE (6)
87130 model/batch_normalization_26/FusedBatchNormV3;model/conv2d_21/Conv2D;model/conv2d_17/Conv2D1 FLOAT32 [1, 14, 14, 112][-1, 14, 14, 112]
172 model/conv2d_18/Conv2D_dequantize FLOAT32 [672, 1, 1, 112]None
183 model/batch_normalization_27/FusedBatchNormV3_dequantize FLOAT32 [672]None
[130, 172, 183]		 131 model/tf.nn.relu6_18/Relu6;model/batch_normalization_27/FusedBatchNormV3;model/depthwise_conv2d_11/depthwise;model/conv2d_18/Conv2D FLOAT32 [1, 14, 14, 672][-1, 14, 14, 672]
[131]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
8818 model/batch_normalization_28/FusedBatchNormV3 FLOAT16 [672]None
[18]		 213 model/batch_normalization_28/FusedBatchNormV3_dequantize FLOAT32 [672]None
[213]		 None DEQUANTIZE (6)
8987 model/batch_normalization_28/FusedBatchNormV3;model/depthwise_conv2d_9/depthwise;model/depthwise_conv2d_11/depthwise FLOAT16 [1, 5, 5, 672]None
[87]		 233 model/batch_normalization_28/FusedBatchNormV3;model/depthwise_conv2d_9/depthwise;model/depthwise_conv2d_11/depthwise_dequantize FLOAT32 [1, 5, 5, 672]None
[233]		 None DEQUANTIZE (6)
90131 model/tf.nn.relu6_18/Relu6;model/batch_normalization_27/FusedBatchNormV3;model/depthwise_conv2d_11/depthwise;model/conv2d_18/Conv2D FLOAT32 [1, 14, 14, 672][-1, 14, 14, 672]
233 model/batch_normalization_28/FusedBatchNormV3;model/depthwise_conv2d_9/depthwise;model/depthwise_conv2d_11/depthwise_dequantize FLOAT32 [1, 5, 5, 672]None
213 model/batch_normalization_28/FusedBatchNormV3_dequantize FLOAT32 [672]None
[131, 233, 213]		 132 model/tf.nn.relu6_19/Relu6;model/batch_normalization_28/FusedBatchNormV3;model/depthwise_conv2d_9/depthwise;model/depthwise_conv2d_11/depthwise FLOAT32 [1, 14, 14, 672][-1, 14, 14, 672]
[132]		 {'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 (1)
9188 model/batch_normalization_29/FusedBatchNormV3;model/conv2d_21/Conv2D;model/conv2d_19/Conv2D FLOAT16 [112]None
[88]		 208 model/batch_normalization_29/FusedBatchNormV3;model/conv2d_21/Conv2D;model/conv2d_19/Conv2D_dequantize FLOAT32 [112]None
[208]		 None DEQUANTIZE (6)
9257 model/conv2d_19/Conv2D FLOAT16 [112, 1, 1, 672]None
[57]		 243 model/conv2d_19/Conv2D_dequantize FLOAT32 [112, 1, 1, 672]None
[243]		 None DEQUANTIZE (6)
93132 model/tf.nn.relu6_19/Relu6;model/batch_normalization_28/FusedBatchNormV3;model/depthwise_conv2d_9/depthwise;model/depthwise_conv2d_11/depthwise FLOAT32 [1, 14, 14, 672][-1, 14, 14, 672]
243 model/conv2d_19/Conv2D_dequantize FLOAT32 [112, 1, 1, 672]None
208 model/batch_normalization_29/FusedBatchNormV3;model/conv2d_21/Conv2D;model/conv2d_19/Conv2D_dequantize FLOAT32 [112]None
[132, 243, 208]		 133 model/batch_normalization_29/FusedBatchNormV3;model/conv2d_21/Conv2D;model/conv2d_19/Conv2D1 FLOAT32 [1, 14, 14, 112][-1, 14, 14, 112]
[133]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
94133 model/batch_normalization_29/FusedBatchNormV3;model/conv2d_21/Conv2D;model/conv2d_19/Conv2D1 FLOAT32 [1, 14, 14, 112][-1, 14, 14, 112]
130 model/batch_normalization_26/FusedBatchNormV3;model/conv2d_21/Conv2D;model/conv2d_17/Conv2D1 FLOAT32 [1, 14, 14, 112][-1, 14, 14, 112]
[133, 130]		 134 model/tf.__operators__.add_4/AddV2 FLOAT32 [1, 14, 14, 112][-1, 14, 14, 112]
[134]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (2)
9520 model/batch_normalization_30/FusedBatchNormV3 FLOAT16 [672]None
[20]		 169 model/batch_normalization_30/FusedBatchNormV3_dequantize FLOAT32 [672]None
[169]		 None DEQUANTIZE (6)
9658 model/conv2d_20/Conv2D FLOAT16 [672, 1, 1, 112]None
[58]		 223 model/conv2d_20/Conv2D_dequantize FLOAT32 [672, 1, 1, 112]None
[223]		 None DEQUANTIZE (6)
97134 model/tf.__operators__.add_4/AddV2 FLOAT32 [1, 14, 14, 112][-1, 14, 14, 112]
223 model/conv2d_20/Conv2D_dequantize FLOAT32 [672, 1, 1, 112]None
169 model/batch_normalization_30/FusedBatchNormV3_dequantize FLOAT32 [672]None
[134, 223, 169]		 135 model/tf.nn.relu6_20/Relu6;model/batch_normalization_30/FusedBatchNormV3;model/depthwise_conv2d_11/depthwise;model/conv2d_20/Conv2D FLOAT32 [1, 14, 14, 672][-1, 14, 14, 672]
[135]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
9889 model/batch_normalization_31/FusedBatchNormV3;model/depthwise_conv2d_10/depthwise;model/depthwise_conv2d_11/depthwise FLOAT16 [1, 5, 5, 672]None
[89]		 235 model/batch_normalization_31/FusedBatchNormV3;model/depthwise_conv2d_10/depthwise;model/depthwise_conv2d_11/depthwise_dequantize FLOAT32 [1, 5, 5, 672]None
[235]		 None DEQUANTIZE (6)
9921 model/batch_normalization_31/FusedBatchNormV3 FLOAT16 [672]None
[21]		 245 model/batch_normalization_31/FusedBatchNormV3_dequantize FLOAT32 [672]None
[245]		 None DEQUANTIZE (6)
100135 model/tf.nn.relu6_20/Relu6;model/batch_normalization_30/FusedBatchNormV3;model/depthwise_conv2d_11/depthwise;model/conv2d_20/Conv2D FLOAT32 [1, 14, 14, 672][-1, 14, 14, 672]
235 model/batch_normalization_31/FusedBatchNormV3;model/depthwise_conv2d_10/depthwise;model/depthwise_conv2d_11/depthwise_dequantize FLOAT32 [1, 5, 5, 672]None
245 model/batch_normalization_31/FusedBatchNormV3_dequantize FLOAT32 [672]None
[135, 235, 245]		 136 model/tf.nn.relu6_21/Relu6;model/batch_normalization_31/FusedBatchNormV3;model/depthwise_conv2d_10/depthwise;model/depthwise_conv2d_11/depthwise FLOAT32 [1, 14, 14, 672][-1, 14, 14, 672]
[136]		 {'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 (1)
10159 model/conv2d_21/Conv2D FLOAT16 [112, 1, 1, 672]None
[59]		 205 model/conv2d_21/Conv2D_dequantize FLOAT32 [112, 1, 1, 672]None
[205]		 None DEQUANTIZE (6)
10290 model/batch_normalization_32/FusedBatchNormV3;model/conv2d_21/Conv2D FLOAT16 [112]None
[90]		 214 model/batch_normalization_32/FusedBatchNormV3;model/conv2d_21/Conv2D_dequantize FLOAT32 [112]None
[214]		 None DEQUANTIZE (6)
103136 model/tf.nn.relu6_21/Relu6;model/batch_normalization_31/FusedBatchNormV3;model/depthwise_conv2d_10/depthwise;model/depthwise_conv2d_11/depthwise FLOAT32 [1, 14, 14, 672][-1, 14, 14, 672]
205 model/conv2d_21/Conv2D_dequantize FLOAT32 [112, 1, 1, 672]None
214 model/batch_normalization_32/FusedBatchNormV3;model/conv2d_21/Conv2D_dequantize FLOAT32 [112]None
[136, 205, 214]		 137 model/batch_normalization_32/FusedBatchNormV3;model/conv2d_21/Conv2D1 FLOAT32 [1, 14, 14, 112][-1, 14, 14, 112]
[137]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
104137 model/batch_normalization_32/FusedBatchNormV3;model/conv2d_21/Conv2D1 FLOAT32 [1, 14, 14, 112][-1, 14, 14, 112]
134 model/tf.__operators__.add_4/AddV2 FLOAT32 [1, 14, 14, 112][-1, 14, 14, 112]
[137, 134]		 138 model/tf.__operators__.add_5/AddV2 FLOAT32 [1, 14, 14, 112][-1, 14, 14, 112]
[138]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (2)
10560 model/conv2d_22/Conv2D FLOAT16 [672, 1, 1, 112]None
[60]		 180 model/conv2d_22/Conv2D_dequantize FLOAT32 [672, 1, 1, 112]None
[180]		 None DEQUANTIZE (6)
10622 model/batch_normalization_33/FusedBatchNormV3 FLOAT16 [672]None
[22]		 226 model/batch_normalization_33/FusedBatchNormV3_dequantize FLOAT32 [672]None
[226]		 None DEQUANTIZE (6)
107138 model/tf.__operators__.add_5/AddV2 FLOAT32 [1, 14, 14, 112][-1, 14, 14, 112]
180 model/conv2d_22/Conv2D_dequantize FLOAT32 [672, 1, 1, 112]None
226 model/batch_normalization_33/FusedBatchNormV3_dequantize FLOAT32 [672]None
[138, 180, 226]		 139 model/tf.nn.relu6_22/Relu6;model/batch_normalization_33/FusedBatchNormV3;model/depthwise_conv2d_11/depthwise;model/conv2d_22/Conv2D FLOAT32 [1, 14, 14, 672][-1, 14, 14, 672]
[139]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
10891 model/batch_normalization_34/FusedBatchNormV3;model/depthwise_conv2d_11/depthwise FLOAT16 [1, 5, 5, 672]None
[91]		 194 model/batch_normalization_34/FusedBatchNormV3;model/depthwise_conv2d_11/depthwise_dequantize FLOAT32 [1, 5, 5, 672]None
[194]		 None DEQUANTIZE (6)
10923 model/batch_normalization_34/FusedBatchNormV3 FLOAT16 [672]None
[23]		 206 model/batch_normalization_34/FusedBatchNormV3_dequantize FLOAT32 [672]None
[206]		 None DEQUANTIZE (6)
110139 model/tf.nn.relu6_22/Relu6;model/batch_normalization_33/FusedBatchNormV3;model/depthwise_conv2d_11/depthwise;model/conv2d_22/Conv2D FLOAT32 [1, 14, 14, 672][-1, 14, 14, 672]
194 model/batch_normalization_34/FusedBatchNormV3;model/depthwise_conv2d_11/depthwise_dequantize FLOAT32 [1, 5, 5, 672]None
206 model/batch_normalization_34/FusedBatchNormV3_dequantize FLOAT32 [672]None
[139, 194, 206]		 140 model/tf.nn.relu6_23/Relu6;model/batch_normalization_34/FusedBatchNormV3;model/depthwise_conv2d_11/depthwise FLOAT32 [1, 7, 7, 672][-1, 7, 7, 672]
[140]		 {'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 (1)
11192 model/batch_normalization_35/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_23/Conv2D FLOAT16 [192]None
[92]		 173 model/batch_normalization_35/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_23/Conv2D_dequantize FLOAT32 [192]None
[173]		 None DEQUANTIZE (6)
11261 model/conv2d_23/Conv2D FLOAT16 [192, 1, 1, 672]None
[61]		 256 model/conv2d_23/Conv2D_dequantize FLOAT32 [192, 1, 1, 672]None
[256]		 None DEQUANTIZE (6)
113140 model/tf.nn.relu6_23/Relu6;model/batch_normalization_34/FusedBatchNormV3;model/depthwise_conv2d_11/depthwise FLOAT32 [1, 7, 7, 672][-1, 7, 7, 672]
256 model/conv2d_23/Conv2D_dequantize FLOAT32 [192, 1, 1, 672]None
173 model/batch_normalization_35/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_23/Conv2D_dequantize FLOAT32 [192]None
[140, 256, 173]		 141 model/batch_normalization_35/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_23/Conv2D1 FLOAT32 [1, 7, 7, 192][-1, 7, 7, 192]
[141]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
11424 model/batch_normalization_36/FusedBatchNormV3 FLOAT16 [1152]None
[24]		 184 model/batch_normalization_36/FusedBatchNormV3_dequantize FLOAT32 [1152]None
[184]		 None DEQUANTIZE (6)
11562 model/conv2d_24/Conv2D FLOAT16 [1152, 1, 1, 192]None
[62]		 188 model/conv2d_24/Conv2D_dequantize FLOAT32 [1152, 1, 1, 192]None
[188]		 None DEQUANTIZE (6)
116141 model/batch_normalization_35/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_23/Conv2D1 FLOAT32 [1, 7, 7, 192][-1, 7, 7, 192]
188 model/conv2d_24/Conv2D_dequantize FLOAT32 [1152, 1, 1, 192]None
184 model/batch_normalization_36/FusedBatchNormV3_dequantize FLOAT32 [1152]None
[141, 188, 184]		 142 model/tf.nn.relu6_24/Relu6;model/batch_normalization_36/FusedBatchNormV3;model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise;model/conv2d_24/Conv2D FLOAT32 [1, 7, 7, 1152][-1, 7, 7, 1152]
[142]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
11725 model/batch_normalization_37/FusedBatchNormV3 FLOAT16 [1152]None
[25]		 162 model/batch_normalization_37/FusedBatchNormV3_dequantize FLOAT32 [1152]None
[162]		 None DEQUANTIZE (6)
11893 model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise FLOAT16 [1, 5, 5, 1152]None
[93]		 247 model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise_dequantize FLOAT32 [1, 5, 5, 1152]None
[247]		 None DEQUANTIZE (6)
119142 model/tf.nn.relu6_24/Relu6;model/batch_normalization_36/FusedBatchNormV3;model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise;model/conv2d_24/Conv2D FLOAT32 [1, 7, 7, 1152][-1, 7, 7, 1152]
247 model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise_dequantize FLOAT32 [1, 5, 5, 1152]None
162 model/batch_normalization_37/FusedBatchNormV3_dequantize FLOAT32 [1152]None
[142, 247, 162]		 143 model/tf.nn.relu6_25/Relu6;model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise FLOAT32 [1, 7, 7, 1152][-1, 7, 7, 1152]
[143]		 {'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 (1)
12063 model/conv2d_25/Conv2D FLOAT16 [192, 1, 1, 1152]None
[63]		 166 model/conv2d_25/Conv2D_dequantize FLOAT32 [192, 1, 1, 1152]None
[166]		 None DEQUANTIZE (6)
12194 model/batch_normalization_38/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_25/Conv2D FLOAT16 [192]None
[94]		 227 model/batch_normalization_38/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_25/Conv2D_dequantize FLOAT32 [192]None
[227]		 None DEQUANTIZE (6)
122143 model/tf.nn.relu6_25/Relu6;model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise FLOAT32 [1, 7, 7, 1152][-1, 7, 7, 1152]
166 model/conv2d_25/Conv2D_dequantize FLOAT32 [192, 1, 1, 1152]None
227 model/batch_normalization_38/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_25/Conv2D_dequantize FLOAT32 [192]None
[143, 166, 227]		 144 model/batch_normalization_38/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_25/Conv2D1 FLOAT32 [1, 7, 7, 192][-1, 7, 7, 192]
[144]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
123144 model/batch_normalization_38/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_25/Conv2D1 FLOAT32 [1, 7, 7, 192][-1, 7, 7, 192]
141 model/batch_normalization_35/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_23/Conv2D1 FLOAT32 [1, 7, 7, 192][-1, 7, 7, 192]
[144, 141]		 145 model/tf.__operators__.add_6/AddV2 FLOAT32 [1, 7, 7, 192][-1, 7, 7, 192]
[145]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (2)
12426 model/batch_normalization_39/FusedBatchNormV3 FLOAT16 [1152]None
[26]		 190 model/batch_normalization_39/FusedBatchNormV3_dequantize FLOAT32 [1152]None
[190]		 None DEQUANTIZE (6)
12564 model/conv2d_26/Conv2D FLOAT16 [1152, 1, 1, 192]None
[64]		 246 model/conv2d_26/Conv2D_dequantize FLOAT32 [1152, 1, 1, 192]None
[246]		 None DEQUANTIZE (6)
126145 model/tf.__operators__.add_6/AddV2 FLOAT32 [1, 7, 7, 192][-1, 7, 7, 192]
246 model/conv2d_26/Conv2D_dequantize FLOAT32 [1152, 1, 1, 192]None
190 model/batch_normalization_39/FusedBatchNormV3_dequantize FLOAT32 [1152]None
[145, 246, 190]		 146 model/tf.nn.relu6_26/Relu6;model/batch_normalization_39/FusedBatchNormV3;model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise;model/conv2d_26/Conv2D FLOAT32 [1, 7, 7, 1152][-1, 7, 7, 1152]
[146]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
12795 model/batch_normalization_40/FusedBatchNormV3;model/depthwise_conv2d_13/depthwise;model/depthwise_conv2d_15/depthwise FLOAT16 [1, 5, 5, 1152]None
[95]		 207 model/batch_normalization_40/FusedBatchNormV3;model/depthwise_conv2d_13/depthwise;model/depthwise_conv2d_15/depthwise_dequantize FLOAT32 [1, 5, 5, 1152]None
[207]		 None DEQUANTIZE (6)
12828 model/batch_normalization_40/FusedBatchNormV3 FLOAT16 [1152]None
[28]		 239 model/batch_normalization_40/FusedBatchNormV3_dequantize FLOAT32 [1152]None
[239]		 None DEQUANTIZE (6)
129146 model/tf.nn.relu6_26/Relu6;model/batch_normalization_39/FusedBatchNormV3;model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise;model/conv2d_26/Conv2D FLOAT32 [1, 7, 7, 1152][-1, 7, 7, 1152]
207 model/batch_normalization_40/FusedBatchNormV3;model/depthwise_conv2d_13/depthwise;model/depthwise_conv2d_15/depthwise_dequantize FLOAT32 [1, 5, 5, 1152]None
239 model/batch_normalization_40/FusedBatchNormV3_dequantize FLOAT32 [1152]None
[146, 207, 239]		 147 model/tf.nn.relu6_27/Relu6;model/batch_normalization_40/FusedBatchNormV3;model/depthwise_conv2d_13/depthwise;model/depthwise_conv2d_15/depthwise FLOAT32 [1, 7, 7, 1152][-1, 7, 7, 1152]
[147]		 {'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 (1)
13096 model/batch_normalization_41/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_27/Conv2D FLOAT16 [192]None
[96]		 185 model/batch_normalization_41/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_27/Conv2D_dequantize FLOAT32 [192]None
[185]		 None DEQUANTIZE (6)
13165 model/conv2d_27/Conv2D FLOAT16 [192, 1, 1, 1152]None
[65]		 222 model/conv2d_27/Conv2D_dequantize FLOAT32 [192, 1, 1, 1152]None
[222]		 None DEQUANTIZE (6)
132147 model/tf.nn.relu6_27/Relu6;model/batch_normalization_40/FusedBatchNormV3;model/depthwise_conv2d_13/depthwise;model/depthwise_conv2d_15/depthwise FLOAT32 [1, 7, 7, 1152][-1, 7, 7, 1152]
222 model/conv2d_27/Conv2D_dequantize FLOAT32 [192, 1, 1, 1152]None
185 model/batch_normalization_41/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_27/Conv2D_dequantize FLOAT32 [192]None
[147, 222, 185]		 148 model/batch_normalization_41/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_27/Conv2D1 FLOAT32 [1, 7, 7, 192][-1, 7, 7, 192]
[148]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
133148 model/batch_normalization_41/FusedBatchNormV3;model/conv2d_29/Conv2D;model/conv2d_27/Conv2D1 FLOAT32 [1, 7, 7, 192][-1, 7, 7, 192]
145 model/tf.__operators__.add_6/AddV2 FLOAT32 [1, 7, 7, 192][-1, 7, 7, 192]
[148, 145]		 149 model/tf.__operators__.add_7/AddV2 FLOAT32 [1, 7, 7, 192][-1, 7, 7, 192]
[149]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (2)
13466 model/conv2d_28/Conv2D FLOAT16 [1152, 1, 1, 192]None
[66]		 201 model/conv2d_28/Conv2D_dequantize FLOAT32 [1152, 1, 1, 192]None
[201]		 None DEQUANTIZE (6)
13529 model/batch_normalization_42/FusedBatchNormV3 FLOAT16 [1152]None
[29]		 219 model/batch_normalization_42/FusedBatchNormV3_dequantize FLOAT32 [1152]None
[219]		 None DEQUANTIZE (6)
136149 model/tf.__operators__.add_7/AddV2 FLOAT32 [1, 7, 7, 192][-1, 7, 7, 192]
201 model/conv2d_28/Conv2D_dequantize FLOAT32 [1152, 1, 1, 192]None
219 model/batch_normalization_42/FusedBatchNormV3_dequantize FLOAT32 [1152]None
[149, 201, 219]		 150 model/tf.nn.relu6_28/Relu6;model/batch_normalization_42/FusedBatchNormV3;model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise;model/conv2d_28/Conv2D FLOAT32 [1, 7, 7, 1152][-1, 7, 7, 1152]
[150]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
13797 model/batch_normalization_43/FusedBatchNormV3;model/depthwise_conv2d_14/depthwise;model/depthwise_conv2d_15/depthwise FLOAT16 [1, 5, 5, 1152]None
[97]		 163 model/batch_normalization_43/FusedBatchNormV3;model/depthwise_conv2d_14/depthwise;model/depthwise_conv2d_15/depthwise_dequantize FLOAT32 [1, 5, 5, 1152]None
[163]		 None DEQUANTIZE (6)
13830 model/batch_normalization_43/FusedBatchNormV3 FLOAT16 [1152]None
[30]		 198 model/batch_normalization_43/FusedBatchNormV3_dequantize FLOAT32 [1152]None
[198]		 None DEQUANTIZE (6)
139150 model/tf.nn.relu6_28/Relu6;model/batch_normalization_42/FusedBatchNormV3;model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise;model/conv2d_28/Conv2D FLOAT32 [1, 7, 7, 1152][-1, 7, 7, 1152]
163 model/batch_normalization_43/FusedBatchNormV3;model/depthwise_conv2d_14/depthwise;model/depthwise_conv2d_15/depthwise_dequantize FLOAT32 [1, 5, 5, 1152]None
198 model/batch_normalization_43/FusedBatchNormV3_dequantize FLOAT32 [1152]None
[150, 163, 198]		 151 model/tf.nn.relu6_29/Relu6;model/batch_normalization_43/FusedBatchNormV3;model/depthwise_conv2d_14/depthwise;model/depthwise_conv2d_15/depthwise FLOAT32 [1, 7, 7, 1152][-1, 7, 7, 1152]
[151]		 {'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 (1)
14067 model/conv2d_29/Conv2D FLOAT16 [192, 1, 1, 1152]None
[67]		 176 model/conv2d_29/Conv2D_dequantize FLOAT32 [192, 1, 1, 1152]None
[176]		 None DEQUANTIZE (6)
14198 model/batch_normalization_44/FusedBatchNormV3;model/conv2d_29/Conv2D FLOAT16 [192]None
[98]		 186 model/batch_normalization_44/FusedBatchNormV3;model/conv2d_29/Conv2D_dequantize FLOAT32 [192]None
[186]		 None DEQUANTIZE (6)
142151 model/tf.nn.relu6_29/Relu6;model/batch_normalization_43/FusedBatchNormV3;model/depthwise_conv2d_14/depthwise;model/depthwise_conv2d_15/depthwise FLOAT32 [1, 7, 7, 1152][-1, 7, 7, 1152]
176 model/conv2d_29/Conv2D_dequantize FLOAT32 [192, 1, 1, 1152]None
186 model/batch_normalization_44/FusedBatchNormV3;model/conv2d_29/Conv2D_dequantize FLOAT32 [192]None
[151, 176, 186]		 152 model/batch_normalization_44/FusedBatchNormV3;model/conv2d_29/Conv2D1 FLOAT32 [1, 7, 7, 192][-1, 7, 7, 192]
[152]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
143152 model/batch_normalization_44/FusedBatchNormV3;model/conv2d_29/Conv2D1 FLOAT32 [1, 7, 7, 192][-1, 7, 7, 192]
149 model/tf.__operators__.add_7/AddV2 FLOAT32 [1, 7, 7, 192][-1, 7, 7, 192]
[152, 149]		 153 model/tf.__operators__.add_8/AddV2 FLOAT32 [1, 7, 7, 192][-1, 7, 7, 192]
[153]		 {'fused_activation_function': 0, 'pot_scale_int16': True} ADD (2)
14431 model/batch_normalization_45/FusedBatchNormV3 FLOAT16 [1152]None
[31]		 177 model/batch_normalization_45/FusedBatchNormV3_dequantize FLOAT32 [1152]None
[177]		 None DEQUANTIZE (6)
14568 model/conv2d_30/Conv2D FLOAT16 [1152, 1, 1, 192]None
[68]		 249 model/conv2d_30/Conv2D_dequantize FLOAT32 [1152, 1, 1, 192]None
[249]		 None DEQUANTIZE (6)
146153 model/tf.__operators__.add_8/AddV2 FLOAT32 [1, 7, 7, 192][-1, 7, 7, 192]
249 model/conv2d_30/Conv2D_dequantize FLOAT32 [1152, 1, 1, 192]None
177 model/batch_normalization_45/FusedBatchNormV3_dequantize FLOAT32 [1152]None
[153, 249, 177]		 154 model/tf.nn.relu6_30/Relu6;model/batch_normalization_45/FusedBatchNormV3;model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise;model/conv2d_30/Conv2D FLOAT32 [1, 7, 7, 1152][-1, 7, 7, 1152]
[154]		 {'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 3, 'padding': 0, 'stride_h': 1, 'stride_w': 1} CONV_2D (0)
14799 model/batch_normalization_46/FusedBatchNormV3;model/depthwise_conv2d_15/depthwise FLOAT16 [1, 3, 3, 1152]None
[99]		 164 model/batch_normalization_46/FusedBatchNormV3;model/depthwise_conv2d_15/depthwise_dequantize FLOAT32 [1, 3, 3, 1152]None
[164]		 None DEQUANTIZE (6)
14832 model/batch_normalization_46/FusedBatchNormV3 FLOAT16 [1152]None
[32]		 251 model/batch_normalization_46/FusedBatchNormV3_dequantize FLOAT32 [1152]None
[251]		 None DEQUANTIZE (6)
149154 model/tf.nn.relu6_30/Relu6;model/batch_normalization_45/FusedBatchNormV3;model/batch_normalization_37/FusedBatchNormV3;model/depthwise_conv2d_12/depthwise;model/depthwise_conv2d_15/depthwise;model/conv2d_30/Conv2D FLOAT32 [1, 7, 7, 1152][-1, 7, 7, 1152]
164 model/batch_normalization_46/FusedBatchNormV3;model/depthwise_conv2d_15/depthwise_dequantize FLOAT32 [1, 3, 3, 1152]None
251 model/batch_normalization_46/FusedBatchNormV3_dequantize FLOAT32 [1152]None
[154, 164, 251]		 155 model/tf.nn.relu6_31/Relu6;model/batch_normalization_46/FusedBatchNormV3;model/depthwise_conv2d_15/depthwise FLOAT32 [1, 7, 7, 1152][-1, 7, 7, 1152]
[155]		 {'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 (1)
150155 model/tf.nn.relu6_31/Relu6;model/batch_normalization_46/FusedBatchNormV3;model/depthwise_conv2d_15/depthwise FLOAT32 [1, 7, 7, 1152][-1, 7, 7, 1152]
3 model/tf.math.reduce_mean/Mean/reduction_indices INT32 [2]None
[155, 3]		 156 model/tf.math.reduce_mean/Mean FLOAT32 [1, 1152][-1, 1152]
[156]		 {'keep_dims': False} MEAN (3)
1511 model/conv_landmarks/BiasAdd/ReadVariableOp/resource FLOAT16 [18]None
[1]		 192 model/conv_landmarks/BiasAdd/ReadVariableOp/resource_dequantize FLOAT32 [18]None
[192]		 None DEQUANTIZE (6)
15236 model/conv_landmarks/MatMul FLOAT16 [18, 1152]None
[36]		 220 model/conv_landmarks/MatMul_dequantize FLOAT32 [18, 1152]None
[220]		 None DEQUANTIZE (6)
153156 model/tf.math.reduce_mean/Mean FLOAT32 [1, 1152][-1, 1152]
220 model/conv_landmarks/MatMul_dequantize FLOAT32 [18, 1152]None
192 model/conv_landmarks/BiasAdd/ReadVariableOp/resource_dequantize FLOAT32 [18]None
[156, 220, 192]		 157 Identity_1 FLOAT32 [1, 18][-1, 18]
[157]		 {'asymmetric_quantize_inputs': False, 'fused_activation_function': 0, 'keep_num_dims': False, 'weights_format': 0} FULLY_CONNECTED (4)
1542 model/conv_objectflag/BiasAdd/ReadVariableOp/resource FLOAT16 [1]None
[2]		 170 model/conv_objectflag/BiasAdd/ReadVariableOp/resource_dequantize FLOAT32 [1]None
[170]		 None DEQUANTIZE (6)
15537 model/conv_objectflag/MatMul FLOAT16 [1, 1152]None
[37]		 193 model/conv_objectflag/MatMul_dequantize FLOAT32 [1, 1152]None
[193]		 None DEQUANTIZE (6)
156156 model/tf.math.reduce_mean/Mean FLOAT32 [1, 1152][-1, 1152]
193 model/conv_objectflag/MatMul_dequantize FLOAT32 [1, 1152]None
170 model/conv_objectflag/BiasAdd/ReadVariableOp/resource_dequantize FLOAT32 [1]None
[156, 193, 170]		 158 model/conv_objectflag/MatMul;model/conv_objectflag/BiasAdd FLOAT32 [1, 1][-1, 1]
[158]		 {'asymmetric_quantize_inputs': False, 'fused_activation_function': 0, 'keep_num_dims': False, 'weights_format': 0} FULLY_CONNECTED (4)
157158 model/conv_objectflag/MatMul;model/conv_objectflag/BiasAdd FLOAT32 [1, 1][-1, 1]
[158]		 159 Identity FLOAT32 [1, 1][-1, 1]
[159]		 None LOGISTIC (5)

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Operator Codes

indexbuiltin_codecustom_codeversion
0CONV_2D 1
1DEPTHWISE_CONV_2D 1
2ADD 1
3MEAN 1
4FULLY_CONNECTED 1
5LOGISTIC 1
6DEQUANTIZE 2