filename	mediapipe\mediapipe\modules\holistic_landmark\hand_recrop.tflite
version	3
description	[107, 101, 114, 97, 115, 50, 116, 102, 108, 105, 116, 101, 95, 104, 97, 110, 100, 114, 101, 99, 114, 111, 112, 95, 50, 48, 50, 48, 95, 48, 55, 95, 50, 49, 95, 118, 48, 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_1 FLOAT32 [1, 256, 256, 3]None [0]	151 output_crop FLOAT32 [1, 1, 1, 4]None [151]

Tensors

index	name	type	shape	shape_signature	buffer	quantization
0	input_1	FLOAT32	[1, 256, 256, 3]	None	0	None
1	conv2d/Kernel	FLOAT32	[8, 3, 3, 3]	None	1	None
2	conv2d/Bias	FLOAT32	[8]	None	2	None
3	conv2d	FLOAT32	[1, 128, 128, 8]	None	0	None
4	p_re_lu/Alpha	FLOAT32	[1, 1, 8]	None	3	None
5	p_re_lu	FLOAT32	[1, 128, 128, 8]	None	0	None
6	batch_normalization/Kernel	FLOAT32	[1, 1, 1, 8]	None	4	None
7	batch_normalization/Bias	FLOAT32	[8]	None	5	None
8	batch_normalization	FLOAT32	[1, 128, 128, 8]	None	0	None
9	p_re_lu_1/Alpha	FLOAT32	[1, 1, 8]	None	6	None
10	p_re_lu_1	FLOAT32	[1, 128, 128, 8]	None	0	None
11	batch_normalization_1/Kernel	FLOAT32	[1, 1, 1, 8]	None	7	None
12	batch_normalization_1/Bias	FLOAT32	[8]	None	8	None
13	batch_normalization_1	FLOAT32	[1, 128, 128, 8]	None	0	None
14	conv2d_1/Kernel	FLOAT32	[8, 2, 2, 8]	None	9	None
15	conv2d_1/Bias	FLOAT32	[8]	None	10	None
16	conv2d_1	FLOAT32	[1, 64, 64, 8]	None	0	None
17	p_re_lu_2/Alpha	FLOAT32	[1, 1, 8]	None	11	None
18	p_re_lu_2	FLOAT32	[1, 64, 64, 8]	None	0	None
19	batch_normalization_2/Kernel	FLOAT32	[1, 1, 1, 8]	None	12	None
20	batch_normalization_2/Bias	FLOAT32	[8]	None	13	None
21	batch_normalization_2	FLOAT32	[1, 64, 64, 8]	None	0	None
22	max_pooling2d	FLOAT32	[1, 64, 64, 8]	None	0	None
23	depthwise_conv2d/Kernel	FLOAT32	[1, 3, 3, 8]	None	14	None
24	depthwise_conv2d/Bias	FLOAT32	[8]	None	15	None
25	depthwise_conv2d	FLOAT32	[1, 64, 64, 8]	None	0	None
26	channel_padding/Paddings	INT32	[4, 2]	None	16	None
27	channel_padding	FLOAT32	[1, 64, 64, 16]	None	0	None
28	conv2d_2/Kernel	FLOAT32	[16, 1, 1, 8]	None	17	None
29	conv2d_2/Bias	FLOAT32	[16]	None	18	None
30	conv2d_2	FLOAT32	[1, 64, 64, 16]	None	0	None
31	add__xeno_compat__1	FLOAT32	[1, 64, 64, 16]	None	0	None
32	p_re_lu_3/Alpha	FLOAT32	[1, 1, 16]	None	19	None
33	p_re_lu_3	FLOAT32	[1, 64, 64, 16]	None	0	None
34	batch_normalization_3/Kernel	FLOAT32	[1, 1, 1, 16]	None	20	None
35	batch_normalization_3/Bias	FLOAT32	[16]	None	21	None
36	batch_normalization_3	FLOAT32	[1, 64, 64, 16]	None	0	None
37	conv2d_3/Kernel	FLOAT32	[16, 2, 2, 16]	None	22	None
38	conv2d_3/Bias	FLOAT32	[16]	None	23	None
39	conv2d_3	FLOAT32	[1, 32, 32, 16]	None	0	None
40	p_re_lu_4/Alpha	FLOAT32	[1, 1, 16]	None	24	None
41	p_re_lu_4	FLOAT32	[1, 32, 32, 16]	None	0	None
42	batch_normalization_4/Kernel	FLOAT32	[1, 1, 1, 16]	None	25	None
43	batch_normalization_4/Bias	FLOAT32	[16]	None	26	None
44	batch_normalization_4	FLOAT32	[1, 32, 32, 16]	None	0	None
45	max_pooling2d_1	FLOAT32	[1, 32, 32, 16]	None	0	None
46	depthwise_conv2d_1/Kernel	FLOAT32	[1, 3, 3, 16]	None	27	None
47	depthwise_conv2d_1/Bias	FLOAT32	[16]	None	28	None
48	depthwise_conv2d_1	FLOAT32	[1, 32, 32, 16]	None	0	None
49	channel_padding_1/Paddings	INT32	[4, 2]	None	29	None
50	channel_padding_1	FLOAT32	[1, 32, 32, 32]	None	0	None
51	conv2d_4/Kernel	FLOAT32	[32, 1, 1, 16]	None	30	None
52	conv2d_4/Bias	FLOAT32	[32]	None	31	None
53	conv2d_4	FLOAT32	[1, 32, 32, 32]	None	0	None
54	add_1__xeno_compat__1	FLOAT32	[1, 32, 32, 32]	None	0	None
55	p_re_lu_5/Alpha	FLOAT32	[1, 1, 32]	None	32	None
56	p_re_lu_5	FLOAT32	[1, 32, 32, 32]	None	0	None
57	batch_normalization_5/Kernel	FLOAT32	[1, 1, 1, 32]	None	33	None
58	batch_normalization_5/Bias	FLOAT32	[32]	None	34	None
59	batch_normalization_5	FLOAT32	[1, 32, 32, 32]	None	0	None
60	conv2d_5/Kernel	FLOAT32	[32, 2, 2, 32]	None	35	None
61	conv2d_5/Bias	FLOAT32	[32]	None	36	None
62	conv2d_5	FLOAT32	[1, 16, 16, 32]	None	0	None
63	p_re_lu_6/Alpha	FLOAT32	[1, 1, 32]	None	37	None
64	p_re_lu_6	FLOAT32	[1, 16, 16, 32]	None	0	None
65	batch_normalization_6/Kernel	FLOAT32	[1, 1, 1, 32]	None	38	None
66	batch_normalization_6/Bias	FLOAT32	[32]	None	39	None
67	batch_normalization_6	FLOAT32	[1, 16, 16, 32]	None	0	None
68	max_pooling2d_2	FLOAT32	[1, 16, 16, 32]	None	0	None
69	depthwise_conv2d_2/Kernel	FLOAT32	[1, 3, 3, 32]	None	40	None
70	depthwise_conv2d_2/Bias	FLOAT32	[32]	None	41	None
71	depthwise_conv2d_2	FLOAT32	[1, 16, 16, 32]	None	0	None
72	channel_padding_2/Paddings	INT32	[4, 2]	None	42	None
73	channel_padding_2	FLOAT32	[1, 16, 16, 64]	None	0	None
74	conv2d_6/Kernel	FLOAT32	[64, 1, 1, 32]	None	43	None
75	conv2d_6/Bias	FLOAT32	[64]	None	44	None
76	conv2d_6	FLOAT32	[1, 16, 16, 64]	None	0	None
77	add_2__xeno_compat__1	FLOAT32	[1, 16, 16, 64]	None	0	None
78	p_re_lu_7/Alpha	FLOAT32	[1, 1, 64]	None	45	None
79	p_re_lu_7	FLOAT32	[1, 16, 16, 64]	None	0	None
80	batch_normalization_7/Kernel	FLOAT32	[1, 1, 1, 64]	None	46	None
81	batch_normalization_7/Bias	FLOAT32	[64]	None	47	None
82	batch_normalization_7	FLOAT32	[1, 16, 16, 64]	None	0	None
83	conv2d_7/Kernel	FLOAT32	[32, 2, 2, 64]	None	48	None
84	conv2d_7/Bias	FLOAT32	[32]	None	49	None
85	conv2d_7	FLOAT32	[1, 8, 8, 32]	None	0	None
86	p_re_lu_8/Alpha	FLOAT32	[1, 1, 32]	None	50	None
87	p_re_lu_8	FLOAT32	[1, 8, 8, 32]	None	0	None
88	batch_normalization_8/Kernel	FLOAT32	[1, 1, 1, 32]	None	51	None
89	batch_normalization_8/Bias	FLOAT32	[32]	None	52	None
90	batch_normalization_8	FLOAT32	[1, 8, 8, 32]	None	0	None
91	depthwise_conv2d_3/Kernel	FLOAT32	[1, 3, 3, 32]	None	53	None
92	depthwise_conv2d_3/Bias	FLOAT32	[32]	None	54	None
93	depthwise_conv2d_3	FLOAT32	[1, 8, 8, 32]	None	0	None
94	max_pooling2d_3	FLOAT32	[1, 8, 8, 64]	None	0	None
95	conv2d_8/Kernel	FLOAT32	[64, 1, 1, 32]	None	55	None
96	conv2d_8/Bias	FLOAT32	[64]	None	56	None
97	conv2d_8	FLOAT32	[1, 8, 8, 64]	None	0	None
98	add_3__xeno_compat__1	FLOAT32	[1, 8, 8, 64]	None	0	None
99	p_re_lu_9/Alpha	FLOAT32	[1, 1, 64]	None	57	None
100	p_re_lu_9	FLOAT32	[1, 8, 8, 64]	None	0	None
101	batch_normalization_9/Kernel	FLOAT32	[1, 1, 1, 64]	None	58	None
102	batch_normalization_9/Bias	FLOAT32	[64]	None	59	None
103	batch_normalization_9	FLOAT32	[1, 8, 8, 64]	None	0	None
104	conv2d_9/Kernel	FLOAT32	[16, 2, 2, 64]	None	60	None
105	conv2d_9/Bias	FLOAT32	[16]	None	61	None
106	conv2d_9	FLOAT32	[1, 4, 4, 16]	None	0	None
107	p_re_lu_10/Alpha	FLOAT32	[1, 1, 16]	None	62	None
108	p_re_lu_10	FLOAT32	[1, 4, 4, 16]	None	0	None
109	batch_normalization_10/Kernel	FLOAT32	[1, 1, 1, 16]	None	63	None
110	batch_normalization_10/Bias	FLOAT32	[16]	None	64	None
111	batch_normalization_10	FLOAT32	[1, 4, 4, 16]	None	0	None
112	max_pooling2d_4	FLOAT32	[1, 4, 4, 64]	None	0	None
113	depthwise_conv2d_4/Kernel	FLOAT32	[1, 3, 3, 16]	None	65	None
114	depthwise_conv2d_4/Bias	FLOAT32	[16]	None	66	None
115	depthwise_conv2d_4	FLOAT32	[1, 4, 4, 16]	None	0	None
116	channel_padding_3/Begin	INT32	[4]	None	67	None
117	channel_padding_3/End	INT32	[4]	None	68	None
118	channel_padding_3/Strides	INT32	[4]	None	69	None
119	channel_padding_3	FLOAT32	[1, 4, 4, 32]	None	0	None
120	conv2d_10/Kernel	FLOAT32	[32, 1, 1, 16]	None	70	None
121	conv2d_10/Bias	FLOAT32	[32]	None	71	None
122	conv2d_10	FLOAT32	[1, 4, 4, 32]	None	0	None
123	add_4__xeno_compat__1	FLOAT32	[1, 4, 4, 32]	None	0	None
124	p_re_lu_11/Alpha	FLOAT32	[1, 1, 32]	None	72	None
125	p_re_lu_11	FLOAT32	[1, 4, 4, 32]	None	0	None
126	batch_normalization_11/Kernel	FLOAT32	[1, 1, 1, 32]	None	73	None
127	batch_normalization_11/Bias	FLOAT32	[32]	None	74	None
128	batch_normalization_11	FLOAT32	[1, 4, 4, 32]	None	0	None
129	conv2d_11/Kernel	FLOAT32	[8, 2, 2, 32]	None	75	None
130	conv2d_11/Bias	FLOAT32	[8]	None	76	None
131	conv2d_11	FLOAT32	[1, 2, 2, 8]	None	0	None
132	p_re_lu_12/Alpha	FLOAT32	[1, 1, 8]	None	77	None
133	p_re_lu_12	FLOAT32	[1, 2, 2, 8]	None	0	None
134	batch_normalization_12/Kernel	FLOAT32	[1, 1, 1, 8]	None	78	None
135	batch_normalization_12/Bias	FLOAT32	[8]	None	79	None
136	batch_normalization_12	FLOAT32	[1, 2, 2, 8]	None	0	None
137	max_pooling2d_5	FLOAT32	[1, 2, 2, 32]	None	0	None
138	depthwise_conv2d_5/Kernel	FLOAT32	[1, 3, 3, 8]	None	80	None
139	depthwise_conv2d_5/Bias	FLOAT32	[8]	None	81	None
140	depthwise_conv2d_5	FLOAT32	[1, 2, 2, 8]	None	0	None
141	channel_padding_4/Begin	INT32	[4]	None	82	None
142	channel_padding_4/End	INT32	[4]	None	83	None
143	channel_padding_4/Strides	INT32	[4]	None	84	None
144	channel_padding_4	FLOAT32	[1, 2, 2, 16]	None	0	None
145	conv2d_12/Kernel	FLOAT32	[16, 1, 1, 8]	None	85	None
146	conv2d_12/Bias	FLOAT32	[16]	None	86	None
147	conv2d_12	FLOAT32	[1, 2, 2, 16]	None	0	None
148	add_5__xeno_compat__1	FLOAT32	[1, 2, 2, 16]	None	0	None
149	output_crop/Kernel	FLOAT32	[4, 2, 2, 16]	None	87	None
150	output_crop/Bias	FLOAT32	[4]	None	88	None
151	output_crop	FLOAT32	[1, 1, 1, 4]	None	0	None

Ops

index	inputs	outputs	builtin_options	opcode_index
0	0 input_1 FLOAT32 [1, 256, 256, 3]None 1 conv2d/Kernel FLOAT32 [8, 3, 3, 3]None 2 conv2d/Bias FLOAT32 [8]None [0, 1, 2]	3 conv2d FLOAT32 [1, 128, 128, 8]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)
1	3 conv2d FLOAT32 [1, 128, 128, 8]None 4 p_re_lu/Alpha FLOAT32 [1, 1, 8]None [3, 4]	5 p_re_lu FLOAT32 [1, 128, 128, 8]None [5]	None	PRELU (1)
2	5 p_re_lu FLOAT32 [1, 128, 128, 8]None 6 batch_normalization/Kernel FLOAT32 [1, 1, 1, 8]None 7 batch_normalization/Bias FLOAT32 [8]None [5, 6, 7]	8 batch_normalization FLOAT32 [1, 128, 128, 8]None [8]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
3	8 batch_normalization FLOAT32 [1, 128, 128, 8]None 9 p_re_lu_1/Alpha FLOAT32 [1, 1, 8]None [8, 9]	10 p_re_lu_1 FLOAT32 [1, 128, 128, 8]None [10]	None	PRELU (1)
4	10 p_re_lu_1 FLOAT32 [1, 128, 128, 8]None 11 batch_normalization_1/Kernel FLOAT32 [1, 1, 1, 8]None 12 batch_normalization_1/Bias FLOAT32 [8]None [10, 11, 12]	13 batch_normalization_1 FLOAT32 [1, 128, 128, 8]None [13]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
5	13 batch_normalization_1 FLOAT32 [1, 128, 128, 8]None 14 conv2d_1/Kernel FLOAT32 [8, 2, 2, 8]None 15 conv2d_1/Bias FLOAT32 [8]None [13, 14, 15]	16 conv2d_1 FLOAT32 [1, 64, 64, 8]None [16]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 2, 'stride_w': 2}	CONV_2D (0)
6	16 conv2d_1 FLOAT32 [1, 64, 64, 8]None 17 p_re_lu_2/Alpha FLOAT32 [1, 1, 8]None [16, 17]	18 p_re_lu_2 FLOAT32 [1, 64, 64, 8]None [18]	None	PRELU (1)
7	18 p_re_lu_2 FLOAT32 [1, 64, 64, 8]None 19 batch_normalization_2/Kernel FLOAT32 [1, 1, 1, 8]None 20 batch_normalization_2/Bias FLOAT32 [8]None [18, 19, 20]	21 batch_normalization_2 FLOAT32 [1, 64, 64, 8]None [21]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
8	8 batch_normalization FLOAT32 [1, 128, 128, 8]None [8]	22 max_pooling2d FLOAT32 [1, 64, 64, 8]None [22]	{'filter_height': 2, 'filter_width': 2, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 2, 'stride_w': 2}	MAX_POOL_2D (3)
9	21 batch_normalization_2 FLOAT32 [1, 64, 64, 8]None 23 depthwise_conv2d/Kernel FLOAT32 [1, 3, 3, 8]None 24 depthwise_conv2d/Bias FLOAT32 [8]None [21, 23, 24]	25 depthwise_conv2d FLOAT32 [1, 64, 64, 8]None [25]	{'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)
10	22 max_pooling2d FLOAT32 [1, 64, 64, 8]None 26 channel_padding/Paddings INT32 [4, 2]None [22, 26]	27 channel_padding FLOAT32 [1, 64, 64, 16]None [27]	None	PAD (4)
11	25 depthwise_conv2d FLOAT32 [1, 64, 64, 8]None 28 conv2d_2/Kernel FLOAT32 [16, 1, 1, 8]None 29 conv2d_2/Bias FLOAT32 [16]None [25, 28, 29]	30 conv2d_2 FLOAT32 [1, 64, 64, 16]None [30]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
12	27 channel_padding FLOAT32 [1, 64, 64, 16]None 30 conv2d_2 FLOAT32 [1, 64, 64, 16]None [27, 30]	31 add__xeno_compat__1 FLOAT32 [1, 64, 64, 16]None [31]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (5)
13	31 add__xeno_compat__1 FLOAT32 [1, 64, 64, 16]None 32 p_re_lu_3/Alpha FLOAT32 [1, 1, 16]None [31, 32]	33 p_re_lu_3 FLOAT32 [1, 64, 64, 16]None [33]	None	PRELU (1)
14	33 p_re_lu_3 FLOAT32 [1, 64, 64, 16]None 34 batch_normalization_3/Kernel FLOAT32 [1, 1, 1, 16]None 35 batch_normalization_3/Bias FLOAT32 [16]None [33, 34, 35]	36 batch_normalization_3 FLOAT32 [1, 64, 64, 16]None [36]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
15	36 batch_normalization_3 FLOAT32 [1, 64, 64, 16]None 37 conv2d_3/Kernel FLOAT32 [16, 2, 2, 16]None 38 conv2d_3/Bias FLOAT32 [16]None [36, 37, 38]	39 conv2d_3 FLOAT32 [1, 32, 32, 16]None [39]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 2, 'stride_w': 2}	CONV_2D (0)
16	39 conv2d_3 FLOAT32 [1, 32, 32, 16]None 40 p_re_lu_4/Alpha FLOAT32 [1, 1, 16]None [39, 40]	41 p_re_lu_4 FLOAT32 [1, 32, 32, 16]None [41]	None	PRELU (1)
17	41 p_re_lu_4 FLOAT32 [1, 32, 32, 16]None 42 batch_normalization_4/Kernel FLOAT32 [1, 1, 1, 16]None 43 batch_normalization_4/Bias FLOAT32 [16]None [41, 42, 43]	44 batch_normalization_4 FLOAT32 [1, 32, 32, 16]None [44]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
18	31 add__xeno_compat__1 FLOAT32 [1, 64, 64, 16]None [31]	45 max_pooling2d_1 FLOAT32 [1, 32, 32, 16]None [45]	{'filter_height': 2, 'filter_width': 2, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 2, 'stride_w': 2}	MAX_POOL_2D (3)
19	44 batch_normalization_4 FLOAT32 [1, 32, 32, 16]None 46 depthwise_conv2d_1/Kernel FLOAT32 [1, 3, 3, 16]None 47 depthwise_conv2d_1/Bias FLOAT32 [16]None [44, 46, 47]	48 depthwise_conv2d_1 FLOAT32 [1, 32, 32, 16]None [48]	{'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)
20	45 max_pooling2d_1 FLOAT32 [1, 32, 32, 16]None 49 channel_padding_1/Paddings INT32 [4, 2]None [45, 49]	50 channel_padding_1 FLOAT32 [1, 32, 32, 32]None [50]	None	PAD (4)
21	48 depthwise_conv2d_1 FLOAT32 [1, 32, 32, 16]None 51 conv2d_4/Kernel FLOAT32 [32, 1, 1, 16]None 52 conv2d_4/Bias FLOAT32 [32]None [48, 51, 52]	53 conv2d_4 FLOAT32 [1, 32, 32, 32]None [53]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
22	50 channel_padding_1 FLOAT32 [1, 32, 32, 32]None 53 conv2d_4 FLOAT32 [1, 32, 32, 32]None [50, 53]	54 add_1__xeno_compat__1 FLOAT32 [1, 32, 32, 32]None [54]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (5)
23	54 add_1__xeno_compat__1 FLOAT32 [1, 32, 32, 32]None 55 p_re_lu_5/Alpha FLOAT32 [1, 1, 32]None [54, 55]	56 p_re_lu_5 FLOAT32 [1, 32, 32, 32]None [56]	None	PRELU (1)
24	56 p_re_lu_5 FLOAT32 [1, 32, 32, 32]None 57 batch_normalization_5/Kernel FLOAT32 [1, 1, 1, 32]None 58 batch_normalization_5/Bias FLOAT32 [32]None [56, 57, 58]	59 batch_normalization_5 FLOAT32 [1, 32, 32, 32]None [59]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
25	59 batch_normalization_5 FLOAT32 [1, 32, 32, 32]None 60 conv2d_5/Kernel FLOAT32 [32, 2, 2, 32]None 61 conv2d_5/Bias FLOAT32 [32]None [59, 60, 61]	62 conv2d_5 FLOAT32 [1, 16, 16, 32]None [62]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 2, 'stride_w': 2}	CONV_2D (0)
26	62 conv2d_5 FLOAT32 [1, 16, 16, 32]None 63 p_re_lu_6/Alpha FLOAT32 [1, 1, 32]None [62, 63]	64 p_re_lu_6 FLOAT32 [1, 16, 16, 32]None [64]	None	PRELU (1)
27	64 p_re_lu_6 FLOAT32 [1, 16, 16, 32]None 65 batch_normalization_6/Kernel FLOAT32 [1, 1, 1, 32]None 66 batch_normalization_6/Bias FLOAT32 [32]None [64, 65, 66]	67 batch_normalization_6 FLOAT32 [1, 16, 16, 32]None [67]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
28	54 add_1__xeno_compat__1 FLOAT32 [1, 32, 32, 32]None [54]	68 max_pooling2d_2 FLOAT32 [1, 16, 16, 32]None [68]	{'filter_height': 2, 'filter_width': 2, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 2, 'stride_w': 2}	MAX_POOL_2D (3)
29	67 batch_normalization_6 FLOAT32 [1, 16, 16, 32]None 69 depthwise_conv2d_2/Kernel FLOAT32 [1, 3, 3, 32]None 70 depthwise_conv2d_2/Bias FLOAT32 [32]None [67, 69, 70]	71 depthwise_conv2d_2 FLOAT32 [1, 16, 16, 32]None [71]	{'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)
30	68 max_pooling2d_2 FLOAT32 [1, 16, 16, 32]None 72 channel_padding_2/Paddings INT32 [4, 2]None [68, 72]	73 channel_padding_2 FLOAT32 [1, 16, 16, 64]None [73]	None	PAD (4)
31	71 depthwise_conv2d_2 FLOAT32 [1, 16, 16, 32]None 74 conv2d_6/Kernel FLOAT32 [64, 1, 1, 32]None 75 conv2d_6/Bias FLOAT32 [64]None [71, 74, 75]	76 conv2d_6 FLOAT32 [1, 16, 16, 64]None [76]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
32	73 channel_padding_2 FLOAT32 [1, 16, 16, 64]None 76 conv2d_6 FLOAT32 [1, 16, 16, 64]None [73, 76]	77 add_2__xeno_compat__1 FLOAT32 [1, 16, 16, 64]None [77]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (5)
33	77 add_2__xeno_compat__1 FLOAT32 [1, 16, 16, 64]None 78 p_re_lu_7/Alpha FLOAT32 [1, 1, 64]None [77, 78]	79 p_re_lu_7 FLOAT32 [1, 16, 16, 64]None [79]	None	PRELU (1)
34	79 p_re_lu_7 FLOAT32 [1, 16, 16, 64]None 80 batch_normalization_7/Kernel FLOAT32 [1, 1, 1, 64]None 81 batch_normalization_7/Bias FLOAT32 [64]None [79, 80, 81]	82 batch_normalization_7 FLOAT32 [1, 16, 16, 64]None [82]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
35	82 batch_normalization_7 FLOAT32 [1, 16, 16, 64]None 83 conv2d_7/Kernel FLOAT32 [32, 2, 2, 64]None 84 conv2d_7/Bias FLOAT32 [32]None [82, 83, 84]	85 conv2d_7 FLOAT32 [1, 8, 8, 32]None [85]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 2, 'stride_w': 2}	CONV_2D (0)
36	85 conv2d_7 FLOAT32 [1, 8, 8, 32]None 86 p_re_lu_8/Alpha FLOAT32 [1, 1, 32]None [85, 86]	87 p_re_lu_8 FLOAT32 [1, 8, 8, 32]None [87]	None	PRELU (1)
37	87 p_re_lu_8 FLOAT32 [1, 8, 8, 32]None 88 batch_normalization_8/Kernel FLOAT32 [1, 1, 1, 32]None 89 batch_normalization_8/Bias FLOAT32 [32]None [87, 88, 89]	90 batch_normalization_8 FLOAT32 [1, 8, 8, 32]None [90]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
38	90 batch_normalization_8 FLOAT32 [1, 8, 8, 32]None 91 depthwise_conv2d_3/Kernel FLOAT32 [1, 3, 3, 32]None 92 depthwise_conv2d_3/Bias FLOAT32 [32]None [90, 91, 92]	93 depthwise_conv2d_3 FLOAT32 [1, 8, 8, 32]None [93]	{'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)
39	77 add_2__xeno_compat__1 FLOAT32 [1, 16, 16, 64]None [77]	94 max_pooling2d_3 FLOAT32 [1, 8, 8, 64]None [94]	{'filter_height': 2, 'filter_width': 2, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 2, 'stride_w': 2}	MAX_POOL_2D (3)
40	93 depthwise_conv2d_3 FLOAT32 [1, 8, 8, 32]None 95 conv2d_8/Kernel FLOAT32 [64, 1, 1, 32]None 96 conv2d_8/Bias FLOAT32 [64]None [93, 95, 96]	97 conv2d_8 FLOAT32 [1, 8, 8, 64]None [97]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
41	94 max_pooling2d_3 FLOAT32 [1, 8, 8, 64]None 97 conv2d_8 FLOAT32 [1, 8, 8, 64]None [94, 97]	98 add_3__xeno_compat__1 FLOAT32 [1, 8, 8, 64]None [98]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (5)
42	98 add_3__xeno_compat__1 FLOAT32 [1, 8, 8, 64]None 99 p_re_lu_9/Alpha FLOAT32 [1, 1, 64]None [98, 99]	100 p_re_lu_9 FLOAT32 [1, 8, 8, 64]None [100]	None	PRELU (1)
43	100 p_re_lu_9 FLOAT32 [1, 8, 8, 64]None 101 batch_normalization_9/Kernel FLOAT32 [1, 1, 1, 64]None 102 batch_normalization_9/Bias FLOAT32 [64]None [100, 101, 102]	103 batch_normalization_9 FLOAT32 [1, 8, 8, 64]None [103]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
44	103 batch_normalization_9 FLOAT32 [1, 8, 8, 64]None 104 conv2d_9/Kernel FLOAT32 [16, 2, 2, 64]None 105 conv2d_9/Bias FLOAT32 [16]None [103, 104, 105]	106 conv2d_9 FLOAT32 [1, 4, 4, 16]None [106]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 2, 'stride_w': 2}	CONV_2D (0)
45	106 conv2d_9 FLOAT32 [1, 4, 4, 16]None 107 p_re_lu_10/Alpha FLOAT32 [1, 1, 16]None [106, 107]	108 p_re_lu_10 FLOAT32 [1, 4, 4, 16]None [108]	None	PRELU (1)
46	108 p_re_lu_10 FLOAT32 [1, 4, 4, 16]None 109 batch_normalization_10/Kernel FLOAT32 [1, 1, 1, 16]None 110 batch_normalization_10/Bias FLOAT32 [16]None [108, 109, 110]	111 batch_normalization_10 FLOAT32 [1, 4, 4, 16]None [111]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
47	98 add_3__xeno_compat__1 FLOAT32 [1, 8, 8, 64]None [98]	112 max_pooling2d_4 FLOAT32 [1, 4, 4, 64]None [112]	{'filter_height': 2, 'filter_width': 2, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 2, 'stride_w': 2}	MAX_POOL_2D (3)
48	111 batch_normalization_10 FLOAT32 [1, 4, 4, 16]None 113 depthwise_conv2d_4/Kernel FLOAT32 [1, 3, 3, 16]None 114 depthwise_conv2d_4/Bias FLOAT32 [16]None [111, 113, 114]	115 depthwise_conv2d_4 FLOAT32 [1, 4, 4, 16]None [115]	{'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)
49	112 max_pooling2d_4 FLOAT32 [1, 4, 4, 64]None 116 channel_padding_3/Begin INT32 [4]None 117 channel_padding_3/End INT32 [4]None 118 channel_padding_3/Strides INT32 [4]None [112, 116, 117, 118]	119 channel_padding_3 FLOAT32 [1, 4, 4, 32]None [119]	{'begin_mask': 0, 'ellipsis_mask': 0, 'end_mask': 0, 'new_axis_mask': 0, 'shrink_axis_mask': 0}	STRIDED_SLICE (6)
50	115 depthwise_conv2d_4 FLOAT32 [1, 4, 4, 16]None 120 conv2d_10/Kernel FLOAT32 [32, 1, 1, 16]None 121 conv2d_10/Bias FLOAT32 [32]None [115, 120, 121]	122 conv2d_10 FLOAT32 [1, 4, 4, 32]None [122]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)
51	119 channel_padding_3 FLOAT32 [1, 4, 4, 32]None 122 conv2d_10 FLOAT32 [1, 4, 4, 32]None [119, 122]	123 add_4__xeno_compat__1 FLOAT32 [1, 4, 4, 32]None [123]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (5)
52	123 add_4__xeno_compat__1 FLOAT32 [1, 4, 4, 32]None 124 p_re_lu_11/Alpha FLOAT32 [1, 1, 32]None [123, 124]	125 p_re_lu_11 FLOAT32 [1, 4, 4, 32]None [125]	None	PRELU (1)
53	125 p_re_lu_11 FLOAT32 [1, 4, 4, 32]None 126 batch_normalization_11/Kernel FLOAT32 [1, 1, 1, 32]None 127 batch_normalization_11/Bias FLOAT32 [32]None [125, 126, 127]	128 batch_normalization_11 FLOAT32 [1, 4, 4, 32]None [128]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
54	128 batch_normalization_11 FLOAT32 [1, 4, 4, 32]None 129 conv2d_11/Kernel FLOAT32 [8, 2, 2, 32]None 130 conv2d_11/Bias FLOAT32 [8]None [128, 129, 130]	131 conv2d_11 FLOAT32 [1, 2, 2, 8]None [131]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 2, 'stride_w': 2}	CONV_2D (0)
55	131 conv2d_11 FLOAT32 [1, 2, 2, 8]None 132 p_re_lu_12/Alpha FLOAT32 [1, 1, 8]None [131, 132]	133 p_re_lu_12 FLOAT32 [1, 2, 2, 8]None [133]	None	PRELU (1)
56	133 p_re_lu_12 FLOAT32 [1, 2, 2, 8]None 134 batch_normalization_12/Kernel FLOAT32 [1, 1, 1, 8]None 135 batch_normalization_12/Bias FLOAT32 [8]None [133, 134, 135]	136 batch_normalization_12 FLOAT32 [1, 2, 2, 8]None [136]	{'depth_multiplier': 1, 'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	DEPTHWISE_CONV_2D (2)
57	123 add_4__xeno_compat__1 FLOAT32 [1, 4, 4, 32]None [123]	137 max_pooling2d_5 FLOAT32 [1, 2, 2, 32]None [137]	{'filter_height': 2, 'filter_width': 2, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 2, 'stride_w': 2}	MAX_POOL_2D (3)
58	136 batch_normalization_12 FLOAT32 [1, 2, 2, 8]None 138 depthwise_conv2d_5/Kernel FLOAT32 [1, 3, 3, 8]None 139 depthwise_conv2d_5/Bias FLOAT32 [8]None [136, 138, 139]	140 depthwise_conv2d_5 FLOAT32 [1, 2, 2, 8]None [140]	{'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)
59	137 max_pooling2d_5 FLOAT32 [1, 2, 2, 32]None 141 channel_padding_4/Begin INT32 [4]None 142 channel_padding_4/End INT32 [4]None 143 channel_padding_4/Strides INT32 [4]None [137, 141, 142, 143]	144 channel_padding_4 FLOAT32 [1, 2, 2, 16]None [144]	{'begin_mask': 0, 'ellipsis_mask': 0, 'end_mask': 0, 'new_axis_mask': 0, 'shrink_axis_mask': 0}	STRIDED_SLICE (6)
60	140 depthwise_conv2d_5 FLOAT32 [1, 2, 2, 8]None 145 conv2d_12/Kernel FLOAT32 [16, 1, 1, 8]None 146 conv2d_12/Bias FLOAT32 [16]None [140, 145, 146]	147 conv2d_12 FLOAT32 [1, 2, 2, 16]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)
61	144 channel_padding_4 FLOAT32 [1, 2, 2, 16]None 147 conv2d_12 FLOAT32 [1, 2, 2, 16]None [144, 147]	148 add_5__xeno_compat__1 FLOAT32 [1, 2, 2, 16]None [148]	{'fused_activation_function': 0, 'pot_scale_int16': True}	ADD (5)
62	148 add_5__xeno_compat__1 FLOAT32 [1, 2, 2, 16]None 149 output_crop/Kernel FLOAT32 [4, 2, 2, 16]None 150 output_crop/Bias FLOAT32 [4]None [148, 149, 150]	151 output_crop FLOAT32 [1, 1, 1, 4]None [151]	{'dilation_h_factor': 1, 'dilation_w_factor': 1, 'fused_activation_function': 0, 'padding': 1, 'stride_h': 1, 'stride_w': 1}	CONV_2D (0)

index	data
0	--
1	864 bytes
2	32 bytes
3	32 bytes
4	32 bytes
5	32 bytes
6	32 bytes
7	32 bytes
8	32 bytes
9	1024 bytes
10	32 bytes
11	32 bytes
12	32 bytes
13	32 bytes
14	288 bytes
15	32 bytes
16	32 bytes
17	512 bytes
18	64 bytes
19	64 bytes
20	64 bytes
21	64 bytes
22	4096 bytes
23	64 bytes
24	64 bytes
25	64 bytes
26	64 bytes
27	576 bytes
28	64 bytes
29	32 bytes
30	2048 bytes
31	128 bytes
32	128 bytes
33	128 bytes
34	128 bytes
35	16384 bytes
36	128 bytes
37	128 bytes
38	128 bytes
39	128 bytes
40	1152 bytes
41	128 bytes
42	32 bytes
43	8192 bytes
44	256 bytes
45	256 bytes
46	256 bytes
47	256 bytes
48	32768 bytes
49	128 bytes
50	128 bytes
51	128 bytes
52	128 bytes
53	1152 bytes
54	128 bytes
55	8192 bytes
56	256 bytes
57	256 bytes
58	256 bytes
59	256 bytes
60	16384 bytes
61	64 bytes
62	64 bytes
63	64 bytes
64	64 bytes
65	576 bytes
66	64 bytes
67	16 bytes
68	16 bytes
69	16 bytes
70	2048 bytes
71	128 bytes
72	128 bytes
73	128 bytes
74	128 bytes
75	4096 bytes
76	32 bytes
77	32 bytes
78	32 bytes
79	32 bytes
80	288 bytes
81	32 bytes
82	16 bytes
83	16 bytes
84	16 bytes
85	512 bytes
86	64 bytes
87	1024 bytes
88	16 bytes
89	468 bytes

TensorFlow Lite Model

Subgraph 0

Inputs/Outputs

Tensors

Ops

Buffers

Operator Codes

index	builtin_code	version
0	CONV_2D	1
1	PRELU	1
2	DEPTHWISE_CONV_2D	1
3	MAX_POOL_2D	1
4	PAD	1
5	ADD	1
6	STRIDED_SLICE	1