filename	mediapipe\mediapipe\modules\face_detection\face_detection_front.tflite
version	3
description	[107, 101, 114, 97, 115, 50, 116, 102, 108, 105, 116, 101, 95, 102, 97, 99, 101, 100, 101, 116, 101, 99, 116, 111, 114, 45, 102, 114, 111, 110, 116, 46, 116, 102, 108, 105, 116, 101, 46, 103, 101, 110, 101, 114, 97, 116, 101, 100]

Subgraph 0

Inputs/Outputs

inputs	outputs
0 input FLOAT32 [1, 128, 128, 3]None [0]	175 regressors FLOAT32 [1, 896, 16]None 174 classificators FLOAT32 [1, 896, 1]None [175, 174]

Tensors

index	name	type	shape	shape_signature	buffer	quantization
0	input	FLOAT32	[1, 128, 128, 3]	None	0	None
1	conv2d/Kernel	FLOAT16	[24, 5, 5, 3]	None	1	None
2	conv2d/Bias	FLOAT16	[24]	None	2	None
3	conv2d	FLOAT32	[1, 64, 64, 24]	None	0	None
4	activation	FLOAT32	[1, 64, 64, 24]	None	0	None
5	depthwise_conv2d/Kernel	FLOAT16	[1, 3, 3, 24]	None	3	None
6	depthwise_conv2d/Bias	FLOAT16	[24]	None	4	None
7	depthwise_conv2d	FLOAT32	[1, 64, 64, 24]	None	0	None
8	conv2d_1/Kernel	FLOAT16	[24, 1, 1, 24]	None	5	None
9	conv2d_1/Bias	FLOAT16	[24]	None	6	None
10	conv2d_1	FLOAT32	[1, 64, 64, 24]	None	0	None
11	add__xeno_compat__1	FLOAT32	[1, 64, 64, 24]	None	0	None
12	activation_1	FLOAT32	[1, 64, 64, 24]	None	0	None
13	depthwise_conv2d_1/Kernel	FLOAT16	[1, 3, 3, 24]	None	7	None
14	depthwise_conv2d_1/Bias	FLOAT16	[24]	None	8	None
15	depthwise_conv2d_1	FLOAT32	[1, 64, 64, 24]	None	0	None
16	conv2d_2/Kernel	FLOAT16	[28, 1, 1, 24]	None	9	None
17	conv2d_2/Bias	FLOAT16	[28]	None	10	None
18	conv2d_2	FLOAT32	[1, 64, 64, 28]	None	0	None
19	channel_padding/Paddings	INT32	[4, 2]	None	11	None
20	channel_padding	FLOAT32	[1, 64, 64, 28]	None	0	None
21	add_1__xeno_compat__1	FLOAT32	[1, 64, 64, 28]	None	0	None
22	activation_2	FLOAT32	[1, 64, 64, 28]	None	0	None
23	depthwise_conv2d_2/Kernel	FLOAT16	[1, 3, 3, 28]	None	12	None
24	depthwise_conv2d_2/Bias	FLOAT16	[28]	None	13	None
25	depthwise_conv2d_2	FLOAT32	[1, 32, 32, 28]	None	0	None
26	max_pooling2d	FLOAT32	[1, 32, 32, 28]	None	0	None
27	conv2d_3/Kernel	FLOAT16	[32, 1, 1, 28]	None	14	None
28	conv2d_3/Bias	FLOAT16	[32]	None	15	None
29	conv2d_3	FLOAT32	[1, 32, 32, 32]	None	0	None
30	channel_padding_1/Paddings	INT32	[4, 2]	None	16	None
31	channel_padding_1	FLOAT32	[1, 32, 32, 32]	None	0	None
32	add_2__xeno_compat__1	FLOAT32	[1, 32, 32, 32]	None	0	None
33	activation_3	FLOAT32	[1, 32, 32, 32]	None	0	None
34	depthwise_conv2d_3/Kernel	FLOAT16	[1, 3, 3, 32]	None	17	None
35	depthwise_conv2d_3/Bias	FLOAT16	[32]	None	18	None
36	depthwise_conv2d_3	FLOAT32	[1, 32, 32, 32]	None	0	None
37	conv2d_4/Kernel	FLOAT16	[36, 1, 1, 32]	None	19	None
38	conv2d_4/Bias	FLOAT16	[36]	None	20	None
39	conv2d_4	FLOAT32	[1, 32, 32, 36]	None	0	None
40	channel_padding_2/Paddings	INT32	[4, 2]	None	21	None
41	channel_padding_2	FLOAT32	[1, 32, 32, 36]	None	0	None
42	add_3__xeno_compat__1	FLOAT32	[1, 32, 32, 36]	None	0	None
43	activation_4	FLOAT32	[1, 32, 32, 36]	None	0	None
44	depthwise_conv2d_4/Kernel	FLOAT16	[1, 3, 3, 36]	None	22	None
45	depthwise_conv2d_4/Bias	FLOAT16	[36]	None	23	None
46	depthwise_conv2d_4	FLOAT32	[1, 32, 32, 36]	None	0	None
47	conv2d_5/Kernel	FLOAT16	[42, 1, 1, 36]	None	24	None
48	conv2d_5/Bias	FLOAT16	[42]	None	25	None
49	conv2d_5	FLOAT32	[1, 32, 32, 42]	None	0	None
50	channel_padding_3/Paddings	INT32	[4, 2]	None	26	None
51	channel_padding_3	FLOAT32	[1, 32, 32, 42]	None	0	None
52	add_4__xeno_compat__1	FLOAT32	[1, 32, 32, 42]	None	0	None
53	activation_5	FLOAT32	[1, 32, 32, 42]	None	0	None
54	depthwise_conv2d_5/Kernel	FLOAT16	[1, 3, 3, 42]	None	27	None
55	depthwise_conv2d_5/Bias	FLOAT16	[42]	None	28	None
56	depthwise_conv2d_5	FLOAT32	[1, 16, 16, 42]	None	0	None
57	max_pooling2d_1	FLOAT32	[1, 16, 16, 42]	None	0	None
58	conv2d_6/Kernel	FLOAT16	[48, 1, 1, 42]	None	29	None
59	conv2d_6/Bias	FLOAT16	[48]	None	30	None
60	conv2d_6	FLOAT32	[1, 16, 16, 48]	None	0	None
61	channel_padding_4/Paddings	INT32	[4, 2]	None	31	None
62	channel_padding_4	FLOAT32	[1, 16, 16, 48]	None	0	None
63	add_5__xeno_compat__1	FLOAT32	[1, 16, 16, 48]	None	0	None
64	activation_6	FLOAT32	[1, 16, 16, 48]	None	0	None
65	depthwise_conv2d_6/Kernel	FLOAT16	[1, 3, 3, 48]	None	32	None
66	depthwise_conv2d_6/Bias	FLOAT16	[48]	None	33	None
67	depthwise_conv2d_6	FLOAT32	[1, 16, 16, 48]	None	0	None
68	conv2d_7/Kernel	FLOAT16	[56, 1, 1, 48]	None	34	None
69	conv2d_7/Bias	FLOAT16	[56]	None	35	None
70	conv2d_7	FLOAT32	[1, 16, 16, 56]	None	0	None
71	channel_padding_5/Paddings	INT32	[4, 2]	None	36	None
72	channel_padding_5	FLOAT32	[1, 16, 16, 56]	None	0	None
73	add_6__xeno_compat__1	FLOAT32	[1, 16, 16, 56]	None	0	None
74	activation_7	FLOAT32	[1, 16, 16, 56]	None	0	None
75	depthwise_conv2d_7/Kernel	FLOAT16	[1, 3, 3, 56]	None	37	None
76	depthwise_conv2d_7/Bias	FLOAT16	[56]	None	38	None
77	depthwise_conv2d_7	FLOAT32	[1, 16, 16, 56]	None	0	None
78	conv2d_8/Kernel	FLOAT16	[64, 1, 1, 56]	None	39	None
79	conv2d_8/Bias	FLOAT16	[64]	None	40	None
80	conv2d_8	FLOAT32	[1, 16, 16, 64]	None	0	None
81	channel_padding_6/Paddings	INT32	[4, 2]	None	41	None
82	channel_padding_6	FLOAT32	[1, 16, 16, 64]	None	0	None
83	add_7__xeno_compat__1	FLOAT32	[1, 16, 16, 64]	None	0	None
84	activation_8	FLOAT32	[1, 16, 16, 64]	None	0	None
85	depthwise_conv2d_8/Kernel	FLOAT16	[1, 3, 3, 64]	None	42	None
86	depthwise_conv2d_8/Bias	FLOAT16	[64]	None	43	None
87	depthwise_conv2d_8	FLOAT32	[1, 16, 16, 64]	None	0	None
88	conv2d_9/Kernel	FLOAT16	[72, 1, 1, 64]	None	44	None
89	conv2d_9/Bias	FLOAT16	[72]	None	45	None
90	conv2d_9	FLOAT32	[1, 16, 16, 72]	None	0	None
91	channel_padding_7/Paddings	INT32	[4, 2]	None	46	None
92	channel_padding_7	FLOAT32	[1, 16, 16, 72]	None	0	None
93	add_8__xeno_compat__1	FLOAT32	[1, 16, 16, 72]	None	0	None
94	activation_9	FLOAT32	[1, 16, 16, 72]	None	0	None
95	depthwise_conv2d_9/Kernel	FLOAT16	[1, 3, 3, 72]	None	47	None
96	depthwise_conv2d_9/Bias	FLOAT16	[72]	None	48	None
97	depthwise_conv2d_9	FLOAT32	[1, 16, 16, 72]	None	0	None
98	conv2d_10/Kernel	FLOAT16	[80, 1, 1, 72]	None	49	None
99	conv2d_10/Bias	FLOAT16	[80]	None	50	None
100	conv2d_10	FLOAT32	[1, 16, 16, 80]	None	0	None
101	channel_padding_8/Paddings	INT32	[4, 2]	None	51	None
102	channel_padding_8	FLOAT32	[1, 16, 16, 80]	None	0	None
103	add_9__xeno_compat__1	FLOAT32	[1, 16, 16, 80]	None	0	None
104	activation_10	FLOAT32	[1, 16, 16, 80]	None	0	None
105	depthwise_conv2d_10/Kernel	FLOAT16	[1, 3, 3, 80]	None	52	None
106	depthwise_conv2d_10/Bias	FLOAT16	[80]	None	53	None
107	depthwise_conv2d_10	FLOAT32	[1, 16, 16, 80]	None	0	None
108	conv2d_11/Kernel	FLOAT16	[88, 1, 1, 80]	None	54	None
109	conv2d_11/Bias	FLOAT16	[88]	None	55	None
110	conv2d_11	FLOAT32	[1, 16, 16, 88]	None	0	None
111	channel_padding_9/Paddings	INT32	[4, 2]	None	56	None
112	channel_padding_9	FLOAT32	[1, 16, 16, 88]	None	0	None
113	add_10__xeno_compat__1	FLOAT32	[1, 16, 16, 88]	None	0	None
114	activation_11	FLOAT32	[1, 16, 16, 88]	None	0	None
115	depthwise_conv2d_11/Kernel	FLOAT16	[1, 3, 3, 88]	None	57	None
116	depthwise_conv2d_11/Bias	FLOAT16	[88]	None	58	None
117	depthwise_conv2d_11	FLOAT32	[1, 8, 8, 88]	None	0	None
118	max_pooling2d_2	FLOAT32	[1, 8, 8, 88]	None	0	None
119	conv2d_12/Kernel	FLOAT16	[96, 1, 1, 88]	None	59	None
120	conv2d_12/Bias	FLOAT16	[96]	None	60	None
121	conv2d_12	FLOAT32	[1, 8, 8, 96]	None	0	None
122	channel_padding_10/Paddings	INT32	[4, 2]	None	61	None
123	channel_padding_10	FLOAT32	[1, 8, 8, 96]	None	0	None
124	add_11__xeno_compat__1	FLOAT32	[1, 8, 8, 96]	None	0	None
125	activation_12	FLOAT32	[1, 8, 8, 96]	None	0	None
126	depthwise_conv2d_12/Kernel	FLOAT16	[1, 3, 3, 96]	None	62	None
127	depthwise_conv2d_12/Bias	FLOAT16	[96]	None	63	None
128	depthwise_conv2d_12	FLOAT32	[1, 8, 8, 96]	None	0	None
129	conv2d_13/Kernel	FLOAT16	[96, 1, 1, 96]	None	64	None
130	conv2d_13/Bias	FLOAT16	[96]	None	65	None
131	conv2d_13	FLOAT32	[1, 8, 8, 96]	None	0	None
132	add_12__xeno_compat__1	FLOAT32	[1, 8, 8, 96]	None	0	None
133	activation_13	FLOAT32	[1, 8, 8, 96]	None	0	None
134	depthwise_conv2d_13/Kernel	FLOAT16	[1, 3, 3, 96]	None	66	None
135	depthwise_conv2d_13/Bias	FLOAT16	[96]	None	67	None
136	depthwise_conv2d_13	FLOAT32	[1, 8, 8, 96]	None	0	None
137	conv2d_14/Kernel	FLOAT16	[96, 1, 1, 96]	None	68	None
138	conv2d_14/Bias	FLOAT16	[96]	None	69	None
139	conv2d_14	FLOAT32	[1, 8, 8, 96]	None	0	None
140	add_13__xeno_compat__1	FLOAT32	[1, 8, 8, 96]	None	0	None
141	activation_14	FLOAT32	[1, 8, 8, 96]	None	0	None
142	depthwise_conv2d_14/Kernel	FLOAT16	[1, 3, 3, 96]	None	70	None
143	depthwise_conv2d_14/Bias	FLOAT16	[96]	None	71	None
144	depthwise_conv2d_14	FLOAT32	[1, 8, 8, 96]	None	0	None
145	conv2d_15/Kernel	FLOAT16	[96, 1, 1, 96]	None	72	None
146	conv2d_15/Bias	FLOAT16	[96]	None	73	None
147	conv2d_15	FLOAT32	[1, 8, 8, 96]	None	0	None
148	add_14__xeno_compat__1	FLOAT32	[1, 8, 8, 96]	None	0	None
149	activation_15	FLOAT32	[1, 8, 8, 96]	None	0	None
150	depthwise_conv2d_15/Kernel	FLOAT16	[1, 3, 3, 96]	None	74	None
151	depthwise_conv2d_15/Bias	FLOAT16	[96]	None	75	None
152	depthwise_conv2d_15	FLOAT32	[1, 8, 8, 96]	None	0	None
153	conv2d_16/Kernel	FLOAT16	[96, 1, 1, 96]	None	76	None
154	conv2d_16/Bias	FLOAT16	[96]	None	77	None
155	conv2d_16	FLOAT32	[1, 8, 8, 96]	None	0	None
156	add_15__xeno_compat__1	FLOAT32	[1, 8, 8, 96]	None	0	None
157	activation_16	FLOAT32	[1, 8, 8, 96]	None	0	None
158	classificator_8/Kernel	FLOAT16	[2, 1, 1, 88]	None	78	None
159	classificator_8/Bias	FLOAT16	[2]	None	79	None
160	classificator_8	FLOAT32	[1, 16, 16, 2]	None	0	None
161	classificator_16/Kernel	FLOAT16	[6, 1, 1, 96]	None	80	None
162	classificator_16/Bias	FLOAT16	[6]	None	81	None
163	classificator_16	FLOAT32	[1, 8, 8, 6]	None	0	None
164	regressor_8/Kernel	FLOAT16	[32, 1, 1, 88]	None	82	None
165	regressor_8/Bias	FLOAT16	[32]	None	83	None
166	regressor_8	FLOAT32	[1, 16, 16, 32]	None	0	None
167	regressor_16/Kernel	FLOAT16	[96, 1, 1, 96]	None	84	None
168	regressor_16/Bias	FLOAT16	[96]	None	85	None
169	regressor_16	FLOAT32	[1, 8, 8, 96]	None	0	None
170	reshape	FLOAT32	[1, 512, 1]	None	0	None
171	reshape_2	FLOAT32	[1, 384, 1]	None	0	None
172	reshape_1	FLOAT32	[1, 512, 16]	None	0	None
173	reshape_3	FLOAT32	[1, 384, 16]	None	0	None
174	classificators	FLOAT32	[1, 896, 1]	None	0	None
175	regressors	FLOAT32	[1, 896, 16]	None	0	None
176	conv2d_3/Bias_dequantize	FLOAT32	[32]	None	0	None
177	conv2d_16/Bias_dequantize	FLOAT32	[96]	None	0	None
178	conv2d_2/Bias_dequantize	FLOAT32	[28]	None	0	None
179	depthwise_conv2d_3/Bias_dequantize	FLOAT32	[32]	None	0	None
180	depthwise_conv2d_14/Bias_dequantize	FLOAT32	[96]	None	0	None
181	classificator_16/Kernel_dequantize	FLOAT32	[6, 1, 1, 96]	None	0	None
182	conv2d_9/Bias_dequantize	FLOAT32	[72]	None	0	None
183	regressor_16/Bias_dequantize	FLOAT32	[96]	None	0	None
184	depthwise_conv2d_2/Bias_dequantize	FLOAT32	[28]	None	0	None
185	depthwise_conv2d/Bias_dequantize	FLOAT32	[24]	None	0	None
186	depthwise_conv2d_15/Kernel_dequantize	FLOAT32	[1, 3, 3, 96]	None	0	None
187	conv2d_8/Kernel_dequantize	FLOAT32	[64, 1, 1, 56]	None	0	None
188	depthwise_conv2d_9/Bias_dequantize	FLOAT32	[72]	None	0	None
189	depthwise_conv2d_1/Kernel_dequantize	FLOAT32	[1, 3, 3, 24]	None	0	None
190	regressor_8/Kernel_dequantize	FLOAT32	[32, 1, 1, 88]	None	0	None
191	conv2d_15/Bias_dequantize	FLOAT32	[96]	None	0	None
192	depthwise_conv2d_8/Kernel_dequantize	FLOAT32	[1, 3, 3, 64]	None	0	None
193	conv2d/Bias_dequantize	FLOAT32	[24]	None	0	None
194	conv2d_16/Kernel_dequantize	FLOAT32	[96, 1, 1, 96]	None	0	None
195	conv2d_10/Bias_dequantize	FLOAT32	[80]	None	0	None
196	depthwise_conv2d_13/Bias_dequantize	FLOAT32	[96]	None	0	None
197	conv2d_4/Bias_dequantize	FLOAT32	[36]	None	0	None
198	depthwise_conv2d_14/Kernel_dequantize	FLOAT32	[1, 3, 3, 96]	None	0	None
199	conv2d_9/Kernel_dequantize	FLOAT32	[72, 1, 1, 64]	None	0	None
200	depthwise_conv2d_10/Bias_dequantize	FLOAT32	[80]	None	0	None
201	conv2d_3/Kernel_dequantize	FLOAT32	[32, 1, 1, 28]	None	0	None
202	depthwise_conv2d_4/Bias_dequantize	FLOAT32	[36]	None	0	None
203	conv2d_1/Bias_dequantize	FLOAT32	[24]	None	0	None
204	conv2d_6/Bias_dequantize	FLOAT32	[48]	None	0	None
205	depthwise_conv2d_9/Kernel_dequantize	FLOAT32	[1, 3, 3, 72]	None	0	None
206	depthwise_conv2d_3/Kernel_dequantize	FLOAT32	[1, 3, 3, 32]	None	0	None
207	conv2d_2/Kernel_dequantize	FLOAT32	[28, 1, 1, 24]	None	0	None
208	regressor_16/Kernel_dequantize	FLOAT32	[96, 1, 1, 96]	None	0	None
209	conv2d_12/Bias_dequantize	FLOAT32	[96]	None	0	None
210	conv2d_5/Bias_dequantize	FLOAT32	[42]	None	0	None
211	depthwise_conv2d_6/Bias_dequantize	FLOAT32	[48]	None	0	None
212	depthwise_conv2d_2/Kernel_dequantize	FLOAT32	[1, 3, 3, 28]	None	0	None
213	conv2d_14/Bias_dequantize	FLOAT32	[96]	None	0	None
214	depthwise_conv2d/Kernel_dequantize	FLOAT32	[1, 3, 3, 24]	None	0	None
215	conv2d_4/Kernel_dequantize	FLOAT32	[36, 1, 1, 32]	None	0	None
216	depthwise_conv2d_5/Bias_dequantize	FLOAT32	[42]	None	0	None
217	conv2d_11/Bias_dequantize	FLOAT32	[88]	None	0	None
218	depthwise_conv2d_12/Bias_dequantize	FLOAT32	[96]	None	0	None
219	depthwise_conv2d_4/Kernel_dequantize	FLOAT32	[1, 3, 3, 36]	None	0	None
220	conv2d_15/Kernel_dequantize	FLOAT32	[96, 1, 1, 96]	None	0	None
221	conv2d_1/Kernel_dequantize	FLOAT32	[24, 1, 1, 24]	None	0	None
222	classificator_8/Bias_dequantize	FLOAT32	[2]	None	0	None
223	depthwise_conv2d_13/Kernel_dequantize	FLOAT32	[1, 3, 3, 96]	None	0	None
224	conv2d/Kernel_dequantize	FLOAT32	[24, 5, 5, 3]	None	0	None
225	conv2d_10/Kernel_dequantize	FLOAT32	[80, 1, 1, 72]	None	0	None
226	depthwise_conv2d_11/Bias_dequantize	FLOAT32	[88]	None	0	None
227	conv2d_7/Bias_dequantize	FLOAT32	[56]	None	0	None
228	depthwise_conv2d_10/Kernel_dequantize	FLOAT32	[1, 3, 3, 80]	None	0	None
229	conv2d_12/Kernel_dequantize	FLOAT32	[96, 1, 1, 88]	None	0	None
230	conv2d_14/Kernel_dequantize	FLOAT32	[96, 1, 1, 96]	None	0	None
231	conv2d_13/Bias_dequantize	FLOAT32	[96]	None	0	None
232	conv2d_6/Kernel_dequantize	FLOAT32	[48, 1, 1, 42]	None	0	None
233	depthwise_conv2d_7/Bias_dequantize	FLOAT32	[56]	None	0	None
234	classificator_16/Bias_dequantize	FLOAT32	[6]	None	0	None
235	conv2d_11/Kernel_dequantize	FLOAT32	[88, 1, 1, 80]	None	0	None
236	depthwise_conv2d_12/Kernel_dequantize	FLOAT32	[1, 3, 3, 96]	None	0	None
237	conv2d_5/Kernel_dequantize	FLOAT32	[42, 1, 1, 36]	None	0	None
238	depthwise_conv2d_6/Kernel_dequantize	FLOAT32	[1, 3, 3, 48]	None	0	None
239	depthwise_conv2d_15/Bias_dequantize	FLOAT32	[96]	None	0	None
240	conv2d_8/Bias_dequantize	FLOAT32	[64]	None	0	None
241	depthwise_conv2d_11/Kernel_dequantize	FLOAT32	[1, 3, 3, 88]	None	0	None
242	depthwise_conv2d_5/Kernel_dequantize	FLOAT32	[1, 3, 3, 42]	None	0	None
243	conv2d_7/Kernel_dequantize	FLOAT32	[56, 1, 1, 48]	None	0	None
244	depthwise_conv2d_8/Bias_dequantize	FLOAT32	[64]	None	0	None
245	classificator_8/Kernel_dequantize	FLOAT32	[2, 1, 1, 88]	None	0	None
246	depthwise_conv2d_7/Kernel_dequantize	FLOAT32	[1, 3, 3, 56]	None	0	None
247	depthwise_conv2d_1/Bias_dequantize	FLOAT32	[24]	None	0	None
248	regressor_8/Bias_dequantize	FLOAT32	[32]	None	0	None
249	conv2d_13/Kernel_dequantize	FLOAT32	[96, 1, 1, 96]	None	0	None

Ops

index	inputs	outputs	builtin_options	opcode_index
0	2 conv2d/Bias FLOAT16 [24]None [2]	193 conv2d/Bias_dequantize FLOAT32 [24]None [193]	None	DEQUANTIZE (8)
1	1 conv2d/Kernel FLOAT16 [24, 5, 5, 3]None [1]	224 conv2d/Kernel_dequantize FLOAT32 [24, 5, 5, 3]None [224]	None	DEQUANTIZE (8)
2	0 input FLOAT32 [1, 128, 128, 3]None 224 conv2d/Kernel_dequantize FLOAT32 [24, 5, 5, 3]None 193 conv2d/Bias_dequantize FLOAT32 [24]None [0, 224, 193]	3 conv2d FLOAT32 [1, 64, 64, 24]None [3]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 2, 'stride_w': 2}	CONV_2D (0)
3	3 conv2d FLOAT32 [1, 64, 64, 24]None [3]	4 activation FLOAT32 [1, 64, 64, 24]None [4]	None	RELU (1)
4	6 depthwise_conv2d/Bias FLOAT16 [24]None [6]	185 depthwise_conv2d/Bias_dequantize FLOAT32 [24]None [185]	None	DEQUANTIZE (8)
5	5 depthwise_conv2d/Kernel FLOAT16 [1, 3, 3, 24]None [5]	214 depthwise_conv2d/Kernel_dequantize FLOAT32 [1, 3, 3, 24]None [214]	None	DEQUANTIZE (8)
6	4 activation FLOAT32 [1, 64, 64, 24]None 214 depthwise_conv2d/Kernel_dequantize FLOAT32 [1, 3, 3, 24]None 185 depthwise_conv2d/Bias_dequantize FLOAT32 [24]None [4, 214, 185]	7 depthwise_conv2d FLOAT32 [1, 64, 64, 24]None [7]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
7	9 conv2d_1/Bias FLOAT16 [24]None [9]	203 conv2d_1/Bias_dequantize FLOAT32 [24]None [203]	None	DEQUANTIZE (8)
8	8 conv2d_1/Kernel FLOAT16 [24, 1, 1, 24]None [8]	221 conv2d_1/Kernel_dequantize FLOAT32 [24, 1, 1, 24]None [221]	None	DEQUANTIZE (8)
9	7 depthwise_conv2d FLOAT32 [1, 64, 64, 24]None 221 conv2d_1/Kernel_dequantize FLOAT32 [24, 1, 1, 24]None 203 conv2d_1/Bias_dequantize FLOAT32 [24]None [7, 221, 203]	10 conv2d_1 FLOAT32 [1, 64, 64, 24]None [10]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
10	4 activation FLOAT32 [1, 64, 64, 24]None 10 conv2d_1 FLOAT32 [1, 64, 64, 24]None [4, 10]	11 add__xeno_compat__1 FLOAT32 [1, 64, 64, 24]None [11]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (3)
11	11 add__xeno_compat__1 FLOAT32 [1, 64, 64, 24]None [11]	12 activation_1 FLOAT32 [1, 64, 64, 24]None [12]	None	RELU (1)
12	13 depthwise_conv2d_1/Kernel FLOAT16 [1, 3, 3, 24]None [13]	189 depthwise_conv2d_1/Kernel_dequantize FLOAT32 [1, 3, 3, 24]None [189]	None	DEQUANTIZE (8)
13	14 depthwise_conv2d_1/Bias FLOAT16 [24]None [14]	247 depthwise_conv2d_1/Bias_dequantize FLOAT32 [24]None [247]	None	DEQUANTIZE (8)
14	12 activation_1 FLOAT32 [1, 64, 64, 24]None 189 depthwise_conv2d_1/Kernel_dequantize FLOAT32 [1, 3, 3, 24]None 247 depthwise_conv2d_1/Bias_dequantize FLOAT32 [24]None [12, 189, 247]	15 depthwise_conv2d_1 FLOAT32 [1, 64, 64, 24]None [15]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
15	17 conv2d_2/Bias FLOAT16 [28]None [17]	178 conv2d_2/Bias_dequantize FLOAT32 [28]None [178]	None	DEQUANTIZE (8)
16	16 conv2d_2/Kernel FLOAT16 [28, 1, 1, 24]None [16]	207 conv2d_2/Kernel_dequantize FLOAT32 [28, 1, 1, 24]None [207]	None	DEQUANTIZE (8)
17	15 depthwise_conv2d_1 FLOAT32 [1, 64, 64, 24]None 207 conv2d_2/Kernel_dequantize FLOAT32 [28, 1, 1, 24]None 178 conv2d_2/Bias_dequantize FLOAT32 [28]None [15, 207, 178]	18 conv2d_2 FLOAT32 [1, 64, 64, 28]None [18]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
18	12 activation_1 FLOAT32 [1, 64, 64, 24]None 19 channel_padding/Paddings INT32 [4, 2]None [12, 19]	20 channel_padding FLOAT32 [1, 64, 64, 28]None [20]	None	PAD (4)
19	20 channel_padding FLOAT32 [1, 64, 64, 28]None 18 conv2d_2 FLOAT32 [1, 64, 64, 28]None [20, 18]	21 add_1__xeno_compat__1 FLOAT32 [1, 64, 64, 28]None [21]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (3)
20	21 add_1__xeno_compat__1 FLOAT32 [1, 64, 64, 28]None [21]	22 activation_2 FLOAT32 [1, 64, 64, 28]None [22]	None	RELU (1)
21	24 depthwise_conv2d_2/Bias FLOAT16 [28]None [24]	184 depthwise_conv2d_2/Bias_dequantize FLOAT32 [28]None [184]	None	DEQUANTIZE (8)
22	23 depthwise_conv2d_2/Kernel FLOAT16 [1, 3, 3, 28]None [23]	212 depthwise_conv2d_2/Kernel_dequantize FLOAT32 [1, 3, 3, 28]None [212]	None	DEQUANTIZE (8)
23	22 activation_2 FLOAT32 [1, 64, 64, 28]None 212 depthwise_conv2d_2/Kernel_dequantize FLOAT32 [1, 3, 3, 28]None 184 depthwise_conv2d_2/Bias_dequantize FLOAT32 [28]None [22, 212, 184]	25 depthwise_conv2d_2 FLOAT32 [1, 32, 32, 28]None [25]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 2, 'stride_w': 2}	DEPTHWISE_CONV_2D (2)
24	22 activation_2 FLOAT32 [1, 64, 64, 28]None [22]	26 max_pooling2d FLOAT32 [1, 32, 32, 28]None [26]	{'filter_height': 2, 'filter_width': 2, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 2, 'stride_w': 2}	MAX_POOL_2D (5)
25	28 conv2d_3/Bias FLOAT16 [32]None [28]	176 conv2d_3/Bias_dequantize FLOAT32 [32]None [176]	None	DEQUANTIZE (8)
26	27 conv2d_3/Kernel FLOAT16 [32, 1, 1, 28]None [27]	201 conv2d_3/Kernel_dequantize FLOAT32 [32, 1, 1, 28]None [201]	None	DEQUANTIZE (8)
27	25 depthwise_conv2d_2 FLOAT32 [1, 32, 32, 28]None 201 conv2d_3/Kernel_dequantize FLOAT32 [32, 1, 1, 28]None 176 conv2d_3/Bias_dequantize FLOAT32 [32]None [25, 201, 176]	29 conv2d_3 FLOAT32 [1, 32, 32, 32]None [29]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
28	26 max_pooling2d FLOAT32 [1, 32, 32, 28]None 30 channel_padding_1/Paddings INT32 [4, 2]None [26, 30]	31 channel_padding_1 FLOAT32 [1, 32, 32, 32]None [31]	None	PAD (4)
29	31 channel_padding_1 FLOAT32 [1, 32, 32, 32]None 29 conv2d_3 FLOAT32 [1, 32, 32, 32]None [31, 29]	32 add_2__xeno_compat__1 FLOAT32 [1, 32, 32, 32]None [32]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (3)
30	32 add_2__xeno_compat__1 FLOAT32 [1, 32, 32, 32]None [32]	33 activation_3 FLOAT32 [1, 32, 32, 32]None [33]	None	RELU (1)
31	35 depthwise_conv2d_3/Bias FLOAT16 [32]None [35]	179 depthwise_conv2d_3/Bias_dequantize FLOAT32 [32]None [179]	None	DEQUANTIZE (8)
32	34 depthwise_conv2d_3/Kernel FLOAT16 [1, 3, 3, 32]None [34]	206 depthwise_conv2d_3/Kernel_dequantize FLOAT32 [1, 3, 3, 32]None [206]	None	DEQUANTIZE (8)
33	33 activation_3 FLOAT32 [1, 32, 32, 32]None 206 depthwise_conv2d_3/Kernel_dequantize FLOAT32 [1, 3, 3, 32]None 179 depthwise_conv2d_3/Bias_dequantize FLOAT32 [32]None [33, 206, 179]	36 depthwise_conv2d_3 FLOAT32 [1, 32, 32, 32]None [36]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
34	38 conv2d_4/Bias FLOAT16 [36]None [38]	197 conv2d_4/Bias_dequantize FLOAT32 [36]None [197]	None	DEQUANTIZE (8)
35	37 conv2d_4/Kernel FLOAT16 [36, 1, 1, 32]None [37]	215 conv2d_4/Kernel_dequantize FLOAT32 [36, 1, 1, 32]None [215]	None	DEQUANTIZE (8)
36	36 depthwise_conv2d_3 FLOAT32 [1, 32, 32, 32]None 215 conv2d_4/Kernel_dequantize FLOAT32 [36, 1, 1, 32]None 197 conv2d_4/Bias_dequantize FLOAT32 [36]None [36, 215, 197]	39 conv2d_4 FLOAT32 [1, 32, 32, 36]None [39]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
37	33 activation_3 FLOAT32 [1, 32, 32, 32]None 40 channel_padding_2/Paddings INT32 [4, 2]None [33, 40]	41 channel_padding_2 FLOAT32 [1, 32, 32, 36]None [41]	None	PAD (4)
38	41 channel_padding_2 FLOAT32 [1, 32, 32, 36]None 39 conv2d_4 FLOAT32 [1, 32, 32, 36]None [41, 39]	42 add_3__xeno_compat__1 FLOAT32 [1, 32, 32, 36]None [42]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (3)
39	42 add_3__xeno_compat__1 FLOAT32 [1, 32, 32, 36]None [42]	43 activation_4 FLOAT32 [1, 32, 32, 36]None [43]	None	RELU (1)
40	45 depthwise_conv2d_4/Bias FLOAT16 [36]None [45]	202 depthwise_conv2d_4/Bias_dequantize FLOAT32 [36]None [202]	None	DEQUANTIZE (8)
41	44 depthwise_conv2d_4/Kernel FLOAT16 [1, 3, 3, 36]None [44]	219 depthwise_conv2d_4/Kernel_dequantize FLOAT32 [1, 3, 3, 36]None [219]	None	DEQUANTIZE (8)
42	43 activation_4 FLOAT32 [1, 32, 32, 36]None 219 depthwise_conv2d_4/Kernel_dequantize FLOAT32 [1, 3, 3, 36]None 202 depthwise_conv2d_4/Bias_dequantize FLOAT32 [36]None [43, 219, 202]	46 depthwise_conv2d_4 FLOAT32 [1, 32, 32, 36]None [46]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
43	48 conv2d_5/Bias FLOAT16 [42]None [48]	210 conv2d_5/Bias_dequantize FLOAT32 [42]None [210]	None	DEQUANTIZE (8)
44	47 conv2d_5/Kernel FLOAT16 [42, 1, 1, 36]None [47]	237 conv2d_5/Kernel_dequantize FLOAT32 [42, 1, 1, 36]None [237]	None	DEQUANTIZE (8)
45	46 depthwise_conv2d_4 FLOAT32 [1, 32, 32, 36]None 237 conv2d_5/Kernel_dequantize FLOAT32 [42, 1, 1, 36]None 210 conv2d_5/Bias_dequantize FLOAT32 [42]None [46, 237, 210]	49 conv2d_5 FLOAT32 [1, 32, 32, 42]None [49]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
46	43 activation_4 FLOAT32 [1, 32, 32, 36]None 50 channel_padding_3/Paddings INT32 [4, 2]None [43, 50]	51 channel_padding_3 FLOAT32 [1, 32, 32, 42]None [51]	None	PAD (4)
47	51 channel_padding_3 FLOAT32 [1, 32, 32, 42]None 49 conv2d_5 FLOAT32 [1, 32, 32, 42]None [51, 49]	52 add_4__xeno_compat__1 FLOAT32 [1, 32, 32, 42]None [52]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (3)
48	52 add_4__xeno_compat__1 FLOAT32 [1, 32, 32, 42]None [52]	53 activation_5 FLOAT32 [1, 32, 32, 42]None [53]	None	RELU (1)
49	55 depthwise_conv2d_5/Bias FLOAT16 [42]None [55]	216 depthwise_conv2d_5/Bias_dequantize FLOAT32 [42]None [216]	None	DEQUANTIZE (8)
50	54 depthwise_conv2d_5/Kernel FLOAT16 [1, 3, 3, 42]None [54]	242 depthwise_conv2d_5/Kernel_dequantize FLOAT32 [1, 3, 3, 42]None [242]	None	DEQUANTIZE (8)
51	53 activation_5 FLOAT32 [1, 32, 32, 42]None 242 depthwise_conv2d_5/Kernel_dequantize FLOAT32 [1, 3, 3, 42]None 216 depthwise_conv2d_5/Bias_dequantize FLOAT32 [42]None [53, 242, 216]	56 depthwise_conv2d_5 FLOAT32 [1, 16, 16, 42]None [56]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 2, 'stride_w': 2}	DEPTHWISE_CONV_2D (2)
52	53 activation_5 FLOAT32 [1, 32, 32, 42]None [53]	57 max_pooling2d_1 FLOAT32 [1, 16, 16, 42]None [57]	{'filter_height': 2, 'filter_width': 2, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 2, 'stride_w': 2}	MAX_POOL_2D (5)
53	59 conv2d_6/Bias FLOAT16 [48]None [59]	204 conv2d_6/Bias_dequantize FLOAT32 [48]None [204]	None	DEQUANTIZE (8)
54	58 conv2d_6/Kernel FLOAT16 [48, 1, 1, 42]None [58]	232 conv2d_6/Kernel_dequantize FLOAT32 [48, 1, 1, 42]None [232]	None	DEQUANTIZE (8)
55	56 depthwise_conv2d_5 FLOAT32 [1, 16, 16, 42]None 232 conv2d_6/Kernel_dequantize FLOAT32 [48, 1, 1, 42]None 204 conv2d_6/Bias_dequantize FLOAT32 [48]None [56, 232, 204]	60 conv2d_6 FLOAT32 [1, 16, 16, 48]None [60]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
56	57 max_pooling2d_1 FLOAT32 [1, 16, 16, 42]None 61 channel_padding_4/Paddings INT32 [4, 2]None [57, 61]	62 channel_padding_4 FLOAT32 [1, 16, 16, 48]None [62]	None	PAD (4)
57	62 channel_padding_4 FLOAT32 [1, 16, 16, 48]None 60 conv2d_6 FLOAT32 [1, 16, 16, 48]None [62, 60]	63 add_5__xeno_compat__1 FLOAT32 [1, 16, 16, 48]None [63]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (3)
58	63 add_5__xeno_compat__1 FLOAT32 [1, 16, 16, 48]None [63]	64 activation_6 FLOAT32 [1, 16, 16, 48]None [64]	None	RELU (1)
59	66 depthwise_conv2d_6/Bias FLOAT16 [48]None [66]	211 depthwise_conv2d_6/Bias_dequantize FLOAT32 [48]None [211]	None	DEQUANTIZE (8)
60	65 depthwise_conv2d_6/Kernel FLOAT16 [1, 3, 3, 48]None [65]	238 depthwise_conv2d_6/Kernel_dequantize FLOAT32 [1, 3, 3, 48]None [238]	None	DEQUANTIZE (8)
61	64 activation_6 FLOAT32 [1, 16, 16, 48]None 238 depthwise_conv2d_6/Kernel_dequantize FLOAT32 [1, 3, 3, 48]None 211 depthwise_conv2d_6/Bias_dequantize FLOAT32 [48]None [64, 238, 211]	67 depthwise_conv2d_6 FLOAT32 [1, 16, 16, 48]None [67]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
62	69 conv2d_7/Bias FLOAT16 [56]None [69]	227 conv2d_7/Bias_dequantize FLOAT32 [56]None [227]	None	DEQUANTIZE (8)
63	68 conv2d_7/Kernel FLOAT16 [56, 1, 1, 48]None [68]	243 conv2d_7/Kernel_dequantize FLOAT32 [56, 1, 1, 48]None [243]	None	DEQUANTIZE (8)
64	67 depthwise_conv2d_6 FLOAT32 [1, 16, 16, 48]None 243 conv2d_7/Kernel_dequantize FLOAT32 [56, 1, 1, 48]None 227 conv2d_7/Bias_dequantize FLOAT32 [56]None [67, 243, 227]	70 conv2d_7 FLOAT32 [1, 16, 16, 56]None [70]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
65	64 activation_6 FLOAT32 [1, 16, 16, 48]None 71 channel_padding_5/Paddings INT32 [4, 2]None [64, 71]	72 channel_padding_5 FLOAT32 [1, 16, 16, 56]None [72]	None	PAD (4)
66	72 channel_padding_5 FLOAT32 [1, 16, 16, 56]None 70 conv2d_7 FLOAT32 [1, 16, 16, 56]None [72, 70]	73 add_6__xeno_compat__1 FLOAT32 [1, 16, 16, 56]None [73]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (3)
67	73 add_6__xeno_compat__1 FLOAT32 [1, 16, 16, 56]None [73]	74 activation_7 FLOAT32 [1, 16, 16, 56]None [74]	None	RELU (1)
68	76 depthwise_conv2d_7/Bias FLOAT16 [56]None [76]	233 depthwise_conv2d_7/Bias_dequantize FLOAT32 [56]None [233]	None	DEQUANTIZE (8)
69	75 depthwise_conv2d_7/Kernel FLOAT16 [1, 3, 3, 56]None [75]	246 depthwise_conv2d_7/Kernel_dequantize FLOAT32 [1, 3, 3, 56]None [246]	None	DEQUANTIZE (8)
70	74 activation_7 FLOAT32 [1, 16, 16, 56]None 246 depthwise_conv2d_7/Kernel_dequantize FLOAT32 [1, 3, 3, 56]None 233 depthwise_conv2d_7/Bias_dequantize FLOAT32 [56]None [74, 246, 233]	77 depthwise_conv2d_7 FLOAT32 [1, 16, 16, 56]None [77]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
71	78 conv2d_8/Kernel FLOAT16 [64, 1, 1, 56]None [78]	187 conv2d_8/Kernel_dequantize FLOAT32 [64, 1, 1, 56]None [187]	None	DEQUANTIZE (8)
72	79 conv2d_8/Bias FLOAT16 [64]None [79]	240 conv2d_8/Bias_dequantize FLOAT32 [64]None [240]	None	DEQUANTIZE (8)
73	77 depthwise_conv2d_7 FLOAT32 [1, 16, 16, 56]None 187 conv2d_8/Kernel_dequantize FLOAT32 [64, 1, 1, 56]None 240 conv2d_8/Bias_dequantize FLOAT32 [64]None [77, 187, 240]	80 conv2d_8 FLOAT32 [1, 16, 16, 64]None [80]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
74	74 activation_7 FLOAT32 [1, 16, 16, 56]None 81 channel_padding_6/Paddings INT32 [4, 2]None [74, 81]	82 channel_padding_6 FLOAT32 [1, 16, 16, 64]None [82]	None	PAD (4)
75	82 channel_padding_6 FLOAT32 [1, 16, 16, 64]None 80 conv2d_8 FLOAT32 [1, 16, 16, 64]None [82, 80]	83 add_7__xeno_compat__1 FLOAT32 [1, 16, 16, 64]None [83]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (3)
76	83 add_7__xeno_compat__1 FLOAT32 [1, 16, 16, 64]None [83]	84 activation_8 FLOAT32 [1, 16, 16, 64]None [84]	None	RELU (1)
77	85 depthwise_conv2d_8/Kernel FLOAT16 [1, 3, 3, 64]None [85]	192 depthwise_conv2d_8/Kernel_dequantize FLOAT32 [1, 3, 3, 64]None [192]	None	DEQUANTIZE (8)
78	86 depthwise_conv2d_8/Bias FLOAT16 [64]None [86]	244 depthwise_conv2d_8/Bias_dequantize FLOAT32 [64]None [244]	None	DEQUANTIZE (8)
79	84 activation_8 FLOAT32 [1, 16, 16, 64]None 192 depthwise_conv2d_8/Kernel_dequantize FLOAT32 [1, 3, 3, 64]None 244 depthwise_conv2d_8/Bias_dequantize FLOAT32 [64]None [84, 192, 244]	87 depthwise_conv2d_8 FLOAT32 [1, 16, 16, 64]None [87]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
80	89 conv2d_9/Bias FLOAT16 [72]None [89]	182 conv2d_9/Bias_dequantize FLOAT32 [72]None [182]	None	DEQUANTIZE (8)
81	88 conv2d_9/Kernel FLOAT16 [72, 1, 1, 64]None [88]	199 conv2d_9/Kernel_dequantize FLOAT32 [72, 1, 1, 64]None [199]	None	DEQUANTIZE (8)
82	87 depthwise_conv2d_8 FLOAT32 [1, 16, 16, 64]None 199 conv2d_9/Kernel_dequantize FLOAT32 [72, 1, 1, 64]None 182 conv2d_9/Bias_dequantize FLOAT32 [72]None [87, 199, 182]	90 conv2d_9 FLOAT32 [1, 16, 16, 72]None [90]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
83	84 activation_8 FLOAT32 [1, 16, 16, 64]None 91 channel_padding_7/Paddings INT32 [4, 2]None [84, 91]	92 channel_padding_7 FLOAT32 [1, 16, 16, 72]None [92]	None	PAD (4)
84	92 channel_padding_7 FLOAT32 [1, 16, 16, 72]None 90 conv2d_9 FLOAT32 [1, 16, 16, 72]None [92, 90]	93 add_8__xeno_compat__1 FLOAT32 [1, 16, 16, 72]None [93]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (3)
85	93 add_8__xeno_compat__1 FLOAT32 [1, 16, 16, 72]None [93]	94 activation_9 FLOAT32 [1, 16, 16, 72]None [94]	None	RELU (1)
86	96 depthwise_conv2d_9/Bias FLOAT16 [72]None [96]	188 depthwise_conv2d_9/Bias_dequantize FLOAT32 [72]None [188]	None	DEQUANTIZE (8)
87	95 depthwise_conv2d_9/Kernel FLOAT16 [1, 3, 3, 72]None [95]	205 depthwise_conv2d_9/Kernel_dequantize FLOAT32 [1, 3, 3, 72]None [205]	None	DEQUANTIZE (8)
88	94 activation_9 FLOAT32 [1, 16, 16, 72]None 205 depthwise_conv2d_9/Kernel_dequantize FLOAT32 [1, 3, 3, 72]None 188 depthwise_conv2d_9/Bias_dequantize FLOAT32 [72]None [94, 205, 188]	97 depthwise_conv2d_9 FLOAT32 [1, 16, 16, 72]None [97]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
89	99 conv2d_10/Bias FLOAT16 [80]None [99]	195 conv2d_10/Bias_dequantize FLOAT32 [80]None [195]	None	DEQUANTIZE (8)
90	98 conv2d_10/Kernel FLOAT16 [80, 1, 1, 72]None [98]	225 conv2d_10/Kernel_dequantize FLOAT32 [80, 1, 1, 72]None [225]	None	DEQUANTIZE (8)
91	97 depthwise_conv2d_9 FLOAT32 [1, 16, 16, 72]None 225 conv2d_10/Kernel_dequantize FLOAT32 [80, 1, 1, 72]None 195 conv2d_10/Bias_dequantize FLOAT32 [80]None [97, 225, 195]	100 conv2d_10 FLOAT32 [1, 16, 16, 80]None [100]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
92	94 activation_9 FLOAT32 [1, 16, 16, 72]None 101 channel_padding_8/Paddings INT32 [4, 2]None [94, 101]	102 channel_padding_8 FLOAT32 [1, 16, 16, 80]None [102]	None	PAD (4)
93	102 channel_padding_8 FLOAT32 [1, 16, 16, 80]None 100 conv2d_10 FLOAT32 [1, 16, 16, 80]None [102, 100]	103 add_9__xeno_compat__1 FLOAT32 [1, 16, 16, 80]None [103]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (3)
94	103 add_9__xeno_compat__1 FLOAT32 [1, 16, 16, 80]None [103]	104 activation_10 FLOAT32 [1, 16, 16, 80]None [104]	None	RELU (1)
95	106 depthwise_conv2d_10/Bias FLOAT16 [80]None [106]	200 depthwise_conv2d_10/Bias_dequantize FLOAT32 [80]None [200]	None	DEQUANTIZE (8)
96	105 depthwise_conv2d_10/Kernel FLOAT16 [1, 3, 3, 80]None [105]	228 depthwise_conv2d_10/Kernel_dequantize FLOAT32 [1, 3, 3, 80]None [228]	None	DEQUANTIZE (8)
97	104 activation_10 FLOAT32 [1, 16, 16, 80]None 228 depthwise_conv2d_10/Kernel_dequantize FLOAT32 [1, 3, 3, 80]None 200 depthwise_conv2d_10/Bias_dequantize FLOAT32 [80]None [104, 228, 200]	107 depthwise_conv2d_10 FLOAT32 [1, 16, 16, 80]None [107]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
98	109 conv2d_11/Bias FLOAT16 [88]None [109]	217 conv2d_11/Bias_dequantize FLOAT32 [88]None [217]	None	DEQUANTIZE (8)
99	108 conv2d_11/Kernel FLOAT16 [88, 1, 1, 80]None [108]	235 conv2d_11/Kernel_dequantize FLOAT32 [88, 1, 1, 80]None [235]	None	DEQUANTIZE (8)
100	107 depthwise_conv2d_10 FLOAT32 [1, 16, 16, 80]None 235 conv2d_11/Kernel_dequantize FLOAT32 [88, 1, 1, 80]None 217 conv2d_11/Bias_dequantize FLOAT32 [88]None [107, 235, 217]	110 conv2d_11 FLOAT32 [1, 16, 16, 88]None [110]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
101	104 activation_10 FLOAT32 [1, 16, 16, 80]None 111 channel_padding_9/Paddings INT32 [4, 2]None [104, 111]	112 channel_padding_9 FLOAT32 [1, 16, 16, 88]None [112]	None	PAD (4)
102	112 channel_padding_9 FLOAT32 [1, 16, 16, 88]None 110 conv2d_11 FLOAT32 [1, 16, 16, 88]None [112, 110]	113 add_10__xeno_compat__1 FLOAT32 [1, 16, 16, 88]None [113]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (3)
103	113 add_10__xeno_compat__1 FLOAT32 [1, 16, 16, 88]None [113]	114 activation_11 FLOAT32 [1, 16, 16, 88]None [114]	None	RELU (1)
104	116 depthwise_conv2d_11/Bias FLOAT16 [88]None [116]	226 depthwise_conv2d_11/Bias_dequantize FLOAT32 [88]None [226]	None	DEQUANTIZE (8)
105	115 depthwise_conv2d_11/Kernel FLOAT16 [1, 3, 3, 88]None [115]	241 depthwise_conv2d_11/Kernel_dequantize FLOAT32 [1, 3, 3, 88]None [241]	None	DEQUANTIZE (8)
106	114 activation_11 FLOAT32 [1, 16, 16, 88]None 241 depthwise_conv2d_11/Kernel_dequantize FLOAT32 [1, 3, 3, 88]None 226 depthwise_conv2d_11/Bias_dequantize FLOAT32 [88]None [114, 241, 226]	117 depthwise_conv2d_11 FLOAT32 [1, 8, 8, 88]None [117]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 2, 'stride_w': 2}	DEPTHWISE_CONV_2D (2)
107	114 activation_11 FLOAT32 [1, 16, 16, 88]None [114]	118 max_pooling2d_2 FLOAT32 [1, 8, 8, 88]None [118]	{'filter_height': 2, 'filter_width': 2, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 2, 'stride_w': 2}	MAX_POOL_2D (5)
108	120 conv2d_12/Bias FLOAT16 [96]None [120]	209 conv2d_12/Bias_dequantize FLOAT32 [96]None [209]	None	DEQUANTIZE (8)
109	119 conv2d_12/Kernel FLOAT16 [96, 1, 1, 88]None [119]	229 conv2d_12/Kernel_dequantize FLOAT32 [96, 1, 1, 88]None [229]	None	DEQUANTIZE (8)
110	117 depthwise_conv2d_11 FLOAT32 [1, 8, 8, 88]None 229 conv2d_12/Kernel_dequantize FLOAT32 [96, 1, 1, 88]None 209 conv2d_12/Bias_dequantize FLOAT32 [96]None [117, 229, 209]	121 conv2d_12 FLOAT32 [1, 8, 8, 96]None [121]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
111	118 max_pooling2d_2 FLOAT32 [1, 8, 8, 88]None 122 channel_padding_10/Paddings INT32 [4, 2]None [118, 122]	123 channel_padding_10 FLOAT32 [1, 8, 8, 96]None [123]	None	PAD (4)
112	123 channel_padding_10 FLOAT32 [1, 8, 8, 96]None 121 conv2d_12 FLOAT32 [1, 8, 8, 96]None [123, 121]	124 add_11__xeno_compat__1 FLOAT32 [1, 8, 8, 96]None [124]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (3)
113	124 add_11__xeno_compat__1 FLOAT32 [1, 8, 8, 96]None [124]	125 activation_12 FLOAT32 [1, 8, 8, 96]None [125]	None	RELU (1)
114	127 depthwise_conv2d_12/Bias FLOAT16 [96]None [127]	218 depthwise_conv2d_12/Bias_dequantize FLOAT32 [96]None [218]	None	DEQUANTIZE (8)
115	126 depthwise_conv2d_12/Kernel FLOAT16 [1, 3, 3, 96]None [126]	236 depthwise_conv2d_12/Kernel_dequantize FLOAT32 [1, 3, 3, 96]None [236]	None	DEQUANTIZE (8)
116	125 activation_12 FLOAT32 [1, 8, 8, 96]None 236 depthwise_conv2d_12/Kernel_dequantize FLOAT32 [1, 3, 3, 96]None 218 depthwise_conv2d_12/Bias_dequantize FLOAT32 [96]None [125, 236, 218]	128 depthwise_conv2d_12 FLOAT32 [1, 8, 8, 96]None [128]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
117	130 conv2d_13/Bias FLOAT16 [96]None [130]	231 conv2d_13/Bias_dequantize FLOAT32 [96]None [231]	None	DEQUANTIZE (8)
118	129 conv2d_13/Kernel FLOAT16 [96, 1, 1, 96]None [129]	249 conv2d_13/Kernel_dequantize FLOAT32 [96, 1, 1, 96]None [249]	None	DEQUANTIZE (8)
119	128 depthwise_conv2d_12 FLOAT32 [1, 8, 8, 96]None 249 conv2d_13/Kernel_dequantize FLOAT32 [96, 1, 1, 96]None 231 conv2d_13/Bias_dequantize FLOAT32 [96]None [128, 249, 231]	131 conv2d_13 FLOAT32 [1, 8, 8, 96]None [131]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
120	125 activation_12 FLOAT32 [1, 8, 8, 96]None 131 conv2d_13 FLOAT32 [1, 8, 8, 96]None [125, 131]	132 add_12__xeno_compat__1 FLOAT32 [1, 8, 8, 96]None [132]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (3)
121	132 add_12__xeno_compat__1 FLOAT32 [1, 8, 8, 96]None [132]	133 activation_13 FLOAT32 [1, 8, 8, 96]None [133]	None	RELU (1)
122	135 depthwise_conv2d_13/Bias FLOAT16 [96]None [135]	196 depthwise_conv2d_13/Bias_dequantize FLOAT32 [96]None [196]	None	DEQUANTIZE (8)
123	134 depthwise_conv2d_13/Kernel FLOAT16 [1, 3, 3, 96]None [134]	223 depthwise_conv2d_13/Kernel_dequantize FLOAT32 [1, 3, 3, 96]None [223]	None	DEQUANTIZE (8)
124	133 activation_13 FLOAT32 [1, 8, 8, 96]None 223 depthwise_conv2d_13/Kernel_dequantize FLOAT32 [1, 3, 3, 96]None 196 depthwise_conv2d_13/Bias_dequantize FLOAT32 [96]None [133, 223, 196]	136 depthwise_conv2d_13 FLOAT32 [1, 8, 8, 96]None [136]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
125	138 conv2d_14/Bias FLOAT16 [96]None [138]	213 conv2d_14/Bias_dequantize FLOAT32 [96]None [213]	None	DEQUANTIZE (8)
126	137 conv2d_14/Kernel FLOAT16 [96, 1, 1, 96]None [137]	230 conv2d_14/Kernel_dequantize FLOAT32 [96, 1, 1, 96]None [230]	None	DEQUANTIZE (8)
127	136 depthwise_conv2d_13 FLOAT32 [1, 8, 8, 96]None 230 conv2d_14/Kernel_dequantize FLOAT32 [96, 1, 1, 96]None 213 conv2d_14/Bias_dequantize FLOAT32 [96]None [136, 230, 213]	139 conv2d_14 FLOAT32 [1, 8, 8, 96]None [139]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
128	133 activation_13 FLOAT32 [1, 8, 8, 96]None 139 conv2d_14 FLOAT32 [1, 8, 8, 96]None [133, 139]	140 add_13__xeno_compat__1 FLOAT32 [1, 8, 8, 96]None [140]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (3)
129	140 add_13__xeno_compat__1 FLOAT32 [1, 8, 8, 96]None [140]	141 activation_14 FLOAT32 [1, 8, 8, 96]None [141]	None	RELU (1)
130	143 depthwise_conv2d_14/Bias FLOAT16 [96]None [143]	180 depthwise_conv2d_14/Bias_dequantize FLOAT32 [96]None [180]	None	DEQUANTIZE (8)
131	142 depthwise_conv2d_14/Kernel FLOAT16 [1, 3, 3, 96]None [142]	198 depthwise_conv2d_14/Kernel_dequantize FLOAT32 [1, 3, 3, 96]None [198]	None	DEQUANTIZE (8)
132	141 activation_14 FLOAT32 [1, 8, 8, 96]None 198 depthwise_conv2d_14/Kernel_dequantize FLOAT32 [1, 3, 3, 96]None 180 depthwise_conv2d_14/Bias_dequantize FLOAT32 [96]None [141, 198, 180]	144 depthwise_conv2d_14 FLOAT32 [1, 8, 8, 96]None [144]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
133	146 conv2d_15/Bias FLOAT16 [96]None [146]	191 conv2d_15/Bias_dequantize FLOAT32 [96]None [191]	None	DEQUANTIZE (8)
134	145 conv2d_15/Kernel FLOAT16 [96, 1, 1, 96]None [145]	220 conv2d_15/Kernel_dequantize FLOAT32 [96, 1, 1, 96]None [220]	None	DEQUANTIZE (8)
135	144 depthwise_conv2d_14 FLOAT32 [1, 8, 8, 96]None 220 conv2d_15/Kernel_dequantize FLOAT32 [96, 1, 1, 96]None 191 conv2d_15/Bias_dequantize FLOAT32 [96]None [144, 220, 191]	147 conv2d_15 FLOAT32 [1, 8, 8, 96]None [147]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
136	141 activation_14 FLOAT32 [1, 8, 8, 96]None 147 conv2d_15 FLOAT32 [1, 8, 8, 96]None [141, 147]	148 add_14__xeno_compat__1 FLOAT32 [1, 8, 8, 96]None [148]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (3)
137	148 add_14__xeno_compat__1 FLOAT32 [1, 8, 8, 96]None [148]	149 activation_15 FLOAT32 [1, 8, 8, 96]None [149]	None	RELU (1)
138	150 depthwise_conv2d_15/Kernel FLOAT16 [1, 3, 3, 96]None [150]	186 depthwise_conv2d_15/Kernel_dequantize FLOAT32 [1, 3, 3, 96]None [186]	None	DEQUANTIZE (8)
139	151 depthwise_conv2d_15/Bias FLOAT16 [96]None [151]	239 depthwise_conv2d_15/Bias_dequantize FLOAT32 [96]None [239]	None	DEQUANTIZE (8)
140	149 activation_15 FLOAT32 [1, 8, 8, 96]None 186 depthwise_conv2d_15/Kernel_dequantize FLOAT32 [1, 3, 3, 96]None 239 depthwise_conv2d_15/Bias_dequantize FLOAT32 [96]None [149, 186, 239]	152 depthwise_conv2d_15 FLOAT32 [1, 8, 8, 96]None [152]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
141	154 conv2d_16/Bias FLOAT16 [96]None [154]	177 conv2d_16/Bias_dequantize FLOAT32 [96]None [177]	None	DEQUANTIZE (8)
142	153 conv2d_16/Kernel FLOAT16 [96, 1, 1, 96]None [153]	194 conv2d_16/Kernel_dequantize FLOAT32 [96, 1, 1, 96]None [194]	None	DEQUANTIZE (8)
143	152 depthwise_conv2d_15 FLOAT32 [1, 8, 8, 96]None 194 conv2d_16/Kernel_dequantize FLOAT32 [96, 1, 1, 96]None 177 conv2d_16/Bias_dequantize FLOAT32 [96]None [152, 194, 177]	155 conv2d_16 FLOAT32 [1, 8, 8, 96]None [155]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
144	149 activation_15 FLOAT32 [1, 8, 8, 96]None 155 conv2d_16 FLOAT32 [1, 8, 8, 96]None [149, 155]	156 add_15__xeno_compat__1 FLOAT32 [1, 8, 8, 96]None [156]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (3)
145	156 add_15__xeno_compat__1 FLOAT32 [1, 8, 8, 96]None [156]	157 activation_16 FLOAT32 [1, 8, 8, 96]None [157]	None	RELU (1)
146	159 classificator_8/Bias FLOAT16 [2]None [159]	222 classificator_8/Bias_dequantize FLOAT32 [2]None [222]	None	DEQUANTIZE (8)
147	158 classificator_8/Kernel FLOAT16 [2, 1, 1, 88]None [158]	245 classificator_8/Kernel_dequantize FLOAT32 [2, 1, 1, 88]None [245]	None	DEQUANTIZE (8)
148	114 activation_11 FLOAT32 [1, 16, 16, 88]None 245 classificator_8/Kernel_dequantize FLOAT32 [2, 1, 1, 88]None 222 classificator_8/Bias_dequantize FLOAT32 [2]None [114, 245, 222]	160 classificator_8 FLOAT32 [1, 16, 16, 2]None [160]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
149	161 classificator_16/Kernel FLOAT16 [6, 1, 1, 96]None [161]	181 classificator_16/Kernel_dequantize FLOAT32 [6, 1, 1, 96]None [181]	None	DEQUANTIZE (8)
150	162 classificator_16/Bias FLOAT16 [6]None [162]	234 classificator_16/Bias_dequantize FLOAT32 [6]None [234]	None	DEQUANTIZE (8)
151	157 activation_16 FLOAT32 [1, 8, 8, 96]None 181 classificator_16/Kernel_dequantize FLOAT32 [6, 1, 1, 96]None 234 classificator_16/Bias_dequantize FLOAT32 [6]None [157, 181, 234]	163 classificator_16 FLOAT32 [1, 8, 8, 6]None [163]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
152	164 regressor_8/Kernel FLOAT16 [32, 1, 1, 88]None [164]	190 regressor_8/Kernel_dequantize FLOAT32 [32, 1, 1, 88]None [190]	None	DEQUANTIZE (8)
153	165 regressor_8/Bias FLOAT16 [32]None [165]	248 regressor_8/Bias_dequantize FLOAT32 [32]None [248]	None	DEQUANTIZE (8)
154	114 activation_11 FLOAT32 [1, 16, 16, 88]None 190 regressor_8/Kernel_dequantize FLOAT32 [32, 1, 1, 88]None 248 regressor_8/Bias_dequantize FLOAT32 [32]None [114, 190, 248]	166 regressor_8 FLOAT32 [1, 16, 16, 32]None [166]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
155	168 regressor_16/Bias FLOAT16 [96]None [168]	183 regressor_16/Bias_dequantize FLOAT32 [96]None [183]	None	DEQUANTIZE (8)
156	167 regressor_16/Kernel FLOAT16 [96, 1, 1, 96]None [167]	208 regressor_16/Kernel_dequantize FLOAT32 [96, 1, 1, 96]None [208]	None	DEQUANTIZE (8)
157	157 activation_16 FLOAT32 [1, 8, 8, 96]None 208 regressor_16/Kernel_dequantize FLOAT32 [96, 1, 1, 96]None 183 regressor_16/Bias_dequantize FLOAT32 [96]None [157, 208, 183]	169 regressor_16 FLOAT32 [1, 8, 8, 96]None [169]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 0, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
158	160 classificator_8 FLOAT32 [1, 16, 16, 2]None [160]	170 reshape FLOAT32 [1, 512, 1]None [170]	{'new_shape': [1, -1, 1]}	RESHAPE (6)
159	163 classificator_16 FLOAT32 [1, 8, 8, 6]None [163]	171 reshape_2 FLOAT32 [1, 384, 1]None [171]	{'new_shape': [1, -1, 1]}	RESHAPE (6)
160	166 regressor_8 FLOAT32 [1, 16, 16, 32]None [166]	172 reshape_1 FLOAT32 [1, 512, 16]None [172]	{'new_shape': [1, -1, 16]}	RESHAPE (6)
161	169 regressor_16 FLOAT32 [1, 8, 8, 96]None [169]	173 reshape_3 FLOAT32 [1, 384, 16]None [173]	{'new_shape': [1, -1, 16]}	RESHAPE (6)
162	170 reshape FLOAT32 [1, 512, 1]None 171 reshape_2 FLOAT32 [1, 384, 1]None [170, 171]	174 classificators FLOAT32 [1, 896, 1]None [174]	{'axis': 1, 'fused_activation_function': 0}	CONCATENATION (7)
163	172 reshape_1 FLOAT32 [1, 512, 16]None 173 reshape_3 FLOAT32 [1, 384, 16]None [172, 173]	175 regressors FLOAT32 [1, 896, 16]None [175]	{'axis': 1, 'fused_activation_function': 0}	CONCATENATION (7)

index	data
0	--
1	3600 bytes
2	48 bytes
3	432 bytes
4	48 bytes
5	1152 bytes
6	48 bytes
7	432 bytes
8	48 bytes
9	1344 bytes
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11	32 bytes
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13	56 bytes
14	1792 bytes
15	64 bytes
16	32 bytes
17	576 bytes
18	64 bytes
19	2304 bytes
20	72 bytes
21	32 bytes
22	648 bytes
23	72 bytes
24	3024 bytes
25	84 bytes
26	32 bytes
27	756 bytes
28	84 bytes
29	4032 bytes
30	96 bytes
31	32 bytes
32	864 bytes
33	96 bytes
34	5376 bytes
35	112 bytes
36	32 bytes
37	1008 bytes
38	112 bytes
39	7168 bytes
40	128 bytes
41	32 bytes
42	1152 bytes
43	128 bytes
44	9216 bytes
45	144 bytes
46	32 bytes
47	1296 bytes
48	144 bytes
49	11520 bytes
50	160 bytes
51	32 bytes
52	1440 bytes
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54	14080 bytes
55	176 bytes
56	32 bytes
57	1584 bytes
58	176 bytes
59	16896 bytes
60	192 bytes
61	32 bytes
62	1728 bytes
63	192 bytes
64	18432 bytes
65	192 bytes
66	1728 bytes
67	192 bytes
68	18432 bytes
69	192 bytes
70	1728 bytes
71	192 bytes
72	18432 bytes
73	192 bytes
74	1728 bytes
75	192 bytes
76	18432 bytes
77	192 bytes
78	352 bytes
79	4 bytes
80	1152 bytes
81	12 bytes
82	5632 bytes
83	64 bytes
84	18432 bytes
85	192 bytes
86	392 bytes
87	436 bytes

TensorFlow Lite Model

Subgraph 0

Inputs/Outputs

Tensors

Ops

Buffers

Operator Codes

index	builtin_code	version
0	CONV_2D	1
1	RELU	1
2	DEPTHWISE_CONV_2D	1
3	ADD	1
4	PAD	1
5	MAX_POOL_2D	1
6	RESHAPE	1
7	CONCATENATION	1
8	DEQUANTIZE	2