Add TF weights (#1)
Browse files- Add TF weights (0bfb4321724c7b8cda927bc36ce7170ab7a135f1)
- tf_model-00001-of-00004.h5 +3 -0
- tf_model-00002-of-00004.h5 +3 -0
- tf_model-00003-of-00004.h5 +3 -0
- tf_model-00004-of-00004.h5 +3 -0
- tf_model.h5.index.json +545 -0
tf_model-00001-of-00004.h5
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e9e44adb8d7871b06da6225cb534474e75d909186223ed5ab56ffc8241f1e094
|
3 |
+
size 9768091456
|
tf_model-00002-of-00004.h5
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fbb76a6853d5654bc0bb5fc74be5e2318cc689fa26b8bc59dbef19fc49249f4c
|
3 |
+
size 9832001608
|
tf_model-00003-of-00004.h5
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2fcb19dc4c79c19651f44b79c5380e883a019d9a848614e972be2133ba04ec80
|
3 |
+
size 9832001392
|
tf_model-00004-of-00004.h5
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:21fc82da78ba1aa6d1c49808ae4d4b6c4e8431038ba9d2f82aafcc8cfe9e036c
|
3 |
+
size 7870827856
|
tf_model.h5.index.json
ADDED
@@ -0,0 +1,545 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 37302090624
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"tf_reg_net_model/regnet/embedder/embedder/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
7 |
+
"tf_reg_net_model/regnet/embedder/embedder/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
8 |
+
"tf_reg_net_model/regnet/embedder/embedder/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
9 |
+
"tf_reg_net_model/regnet/embedder/embedder/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
10 |
+
"tf_reg_net_model/regnet/embedder/embedder/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
11 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
12 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
13 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
14 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
15 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
16 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
17 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
18 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
19 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
20 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
21 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
|
22 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
|
23 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
|
24 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
|
25 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
26 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
27 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
28 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
29 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
30 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/shortcut/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
31 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/shortcut/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
32 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/shortcut/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
33 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/shortcut/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
34 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.0/shortcut/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
35 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
36 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
37 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
38 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
39 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
40 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
41 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
42 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
43 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
44 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
45 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
|
46 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
|
47 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
|
48 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
|
49 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
50 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
51 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
52 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
53 |
+
"tf_reg_net_model/regnet/encoder/stages.0/layers.1/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
54 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
55 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
56 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
57 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
58 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
59 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
60 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
61 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
62 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
63 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
64 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
|
65 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
|
66 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
|
67 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
|
68 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
69 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
70 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
71 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
72 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
73 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/shortcut/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
74 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/shortcut/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
75 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/shortcut/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
76 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/shortcut/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
77 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.0/shortcut/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
78 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
79 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
80 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
81 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
82 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
83 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
84 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
85 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
86 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
87 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
88 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
|
89 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
|
90 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
|
91 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
|
92 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
93 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
94 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
95 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
96 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.1/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
97 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
98 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
99 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
100 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
101 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
102 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
103 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
104 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
105 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
106 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
107 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
|
108 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
|
109 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
|
110 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
|
111 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
112 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
113 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
114 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
115 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.2/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
116 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
117 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
118 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
119 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
120 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
121 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
122 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
123 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
124 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
125 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
126 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
|
127 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
|
128 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
|
129 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
|
130 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
131 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
132 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
133 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
134 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.3/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
135 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
136 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
137 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
138 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
139 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
140 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
141 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
142 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
143 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
144 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
145 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
|
146 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
|
147 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
|
148 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
|
149 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
150 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
151 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
152 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
153 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.4/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
154 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
155 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
156 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
157 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
158 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
159 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
160 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
161 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
162 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
163 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
164 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
|
165 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
|
166 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
|
167 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
|
168 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
169 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
170 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
171 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
172 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.5/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
173 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
174 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
175 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
176 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
177 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
178 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
179 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
180 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
181 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
182 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
183 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
|
184 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
|
185 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
|
186 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
|
187 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
188 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
189 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
190 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
191 |
+
"tf_reg_net_model/regnet/encoder/stages.1/layers.6/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
192 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
193 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
194 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
195 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
196 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
197 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
198 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
199 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
200 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
201 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
202 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
|
203 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
|
204 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
|
205 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
|
206 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
207 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
208 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
209 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
210 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
211 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/shortcut/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
212 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/shortcut/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
213 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/shortcut/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
214 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/shortcut/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
215 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.0/shortcut/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
216 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
217 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
218 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
219 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
220 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
221 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
222 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
223 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
224 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
225 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
226 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
|
227 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
|
228 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
|
229 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
|
230 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
231 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
232 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
233 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
234 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.1/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
235 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.0/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
236 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.0/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
237 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.0/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
238 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
239 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
240 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.1/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
241 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.1/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
242 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.1/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
243 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
244 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
245 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.2/attention.0/bias:0": "tf_model-00002-of-00004.h5",
|
246 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.2/attention.0/kernel:0": "tf_model-00002-of-00004.h5",
|
247 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.2/attention.2/bias:0": "tf_model-00002-of-00004.h5",
|
248 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.2/attention.2/kernel:0": "tf_model-00002-of-00004.h5",
|
249 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.3/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
250 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.3/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
251 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.3/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
252 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
253 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.10/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
254 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.0/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
255 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.0/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
256 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.0/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
257 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
258 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
259 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.1/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
260 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.1/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
261 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.1/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
262 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
263 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
264 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.2/attention.0/bias:0": "tf_model-00003-of-00004.h5",
|
265 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.2/attention.0/kernel:0": "tf_model-00003-of-00004.h5",
|
266 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.2/attention.2/bias:0": "tf_model-00003-of-00004.h5",
|
267 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.2/attention.2/kernel:0": "tf_model-00003-of-00004.h5",
|
268 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.3/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
269 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.3/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
270 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.3/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
271 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
272 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.11/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
273 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.0/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
274 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.0/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
275 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.0/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
276 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
277 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
278 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.1/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
279 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.1/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
280 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.1/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
281 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
282 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
283 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.2/attention.0/bias:0": "tf_model-00003-of-00004.h5",
|
284 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.2/attention.0/kernel:0": "tf_model-00003-of-00004.h5",
|
285 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.2/attention.2/bias:0": "tf_model-00003-of-00004.h5",
|
286 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.2/attention.2/kernel:0": "tf_model-00003-of-00004.h5",
|
287 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.3/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
288 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.3/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
289 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.3/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
290 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
291 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.12/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
292 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.0/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
293 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.0/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
294 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.0/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
295 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
296 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
297 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.1/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
298 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.1/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
299 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.1/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
300 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
301 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
302 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.2/attention.0/bias:0": "tf_model-00003-of-00004.h5",
|
303 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.2/attention.0/kernel:0": "tf_model-00003-of-00004.h5",
|
304 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.2/attention.2/bias:0": "tf_model-00003-of-00004.h5",
|
305 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.2/attention.2/kernel:0": "tf_model-00003-of-00004.h5",
|
306 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.3/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
307 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.3/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
308 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.3/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
309 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
310 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.13/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
311 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.0/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
312 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.0/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
313 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.0/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
314 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
315 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
316 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.1/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
317 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.1/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
318 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.1/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
319 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
320 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
321 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.2/attention.0/bias:0": "tf_model-00003-of-00004.h5",
|
322 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.2/attention.0/kernel:0": "tf_model-00003-of-00004.h5",
|
323 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.2/attention.2/bias:0": "tf_model-00003-of-00004.h5",
|
324 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.2/attention.2/kernel:0": "tf_model-00003-of-00004.h5",
|
325 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.3/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
326 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.3/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
327 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.3/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
328 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
329 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.14/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
330 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.0/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
331 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.0/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
332 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.0/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
333 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
334 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
335 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.1/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
336 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.1/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
337 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.1/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
338 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
339 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
340 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.2/attention.0/bias:0": "tf_model-00003-of-00004.h5",
|
341 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.2/attention.0/kernel:0": "tf_model-00003-of-00004.h5",
|
342 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.2/attention.2/bias:0": "tf_model-00003-of-00004.h5",
|
343 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.2/attention.2/kernel:0": "tf_model-00003-of-00004.h5",
|
344 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.3/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
345 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.3/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
346 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.3/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
347 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
348 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.15/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
349 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.0/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
350 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.0/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
351 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.0/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
352 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
353 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
354 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.1/convolution/kernel:0": "tf_model-00003-of-00004.h5",
|
355 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.1/normalization/beta:0": "tf_model-00003-of-00004.h5",
|
356 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.1/normalization/gamma:0": "tf_model-00003-of-00004.h5",
|
357 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
358 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
359 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.2/attention.0/bias:0": "tf_model-00003-of-00004.h5",
|
360 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.2/attention.0/kernel:0": "tf_model-00003-of-00004.h5",
|
361 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.2/attention.2/bias:0": "tf_model-00003-of-00004.h5",
|
362 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.2/attention.2/kernel:0": "tf_model-00003-of-00004.h5",
|
363 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.3/convolution/kernel:0": "tf_model-00004-of-00004.h5",
|
364 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.3/normalization/beta:0": "tf_model-00004-of-00004.h5",
|
365 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.3/normalization/gamma:0": "tf_model-00004-of-00004.h5",
|
366 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
367 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.16/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
368 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
369 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
370 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
371 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
372 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
373 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
374 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
375 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
376 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
377 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
378 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
|
379 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
|
380 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
|
381 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
|
382 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
383 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
384 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
385 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
386 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.2/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
387 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
388 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
389 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
390 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
391 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
392 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
393 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
394 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
395 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
396 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
397 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
|
398 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
|
399 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
|
400 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
|
401 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.3/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
402 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.3/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
403 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.3/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
404 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
405 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.3/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
406 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.0/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
407 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.0/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
408 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.0/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
409 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
410 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
411 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.1/convolution/kernel:0": "tf_model-00001-of-00004.h5",
|
412 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.1/normalization/beta:0": "tf_model-00001-of-00004.h5",
|
413 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.1/normalization/gamma:0": "tf_model-00001-of-00004.h5",
|
414 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
415 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
416 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.2/attention.0/bias:0": "tf_model-00001-of-00004.h5",
|
417 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.2/attention.0/kernel:0": "tf_model-00001-of-00004.h5",
|
418 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.2/attention.2/bias:0": "tf_model-00001-of-00004.h5",
|
419 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.2/attention.2/kernel:0": "tf_model-00001-of-00004.h5",
|
420 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.3/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
421 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.3/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
422 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.3/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
423 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
424 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.4/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
425 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.0/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
426 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.0/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
427 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.0/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
428 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
429 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
430 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.1/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
431 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.1/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
432 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.1/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
433 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
434 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
435 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.2/attention.0/bias:0": "tf_model-00002-of-00004.h5",
|
436 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.2/attention.0/kernel:0": "tf_model-00002-of-00004.h5",
|
437 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.2/attention.2/bias:0": "tf_model-00002-of-00004.h5",
|
438 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.2/attention.2/kernel:0": "tf_model-00002-of-00004.h5",
|
439 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.3/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
440 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.3/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
441 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.3/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
442 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
443 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.5/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
444 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.0/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
445 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.0/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
446 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.0/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
447 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
448 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
449 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.1/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
450 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.1/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
451 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.1/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
452 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
453 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
454 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.2/attention.0/bias:0": "tf_model-00002-of-00004.h5",
|
455 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.2/attention.0/kernel:0": "tf_model-00002-of-00004.h5",
|
456 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.2/attention.2/bias:0": "tf_model-00002-of-00004.h5",
|
457 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.2/attention.2/kernel:0": "tf_model-00002-of-00004.h5",
|
458 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.3/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
459 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.3/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
460 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.3/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
461 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
462 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.6/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
463 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.0/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
464 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.0/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
465 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.0/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
466 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
467 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
468 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.1/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
469 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.1/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
470 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.1/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
471 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
472 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
473 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.2/attention.0/bias:0": "tf_model-00002-of-00004.h5",
|
474 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.2/attention.0/kernel:0": "tf_model-00002-of-00004.h5",
|
475 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.2/attention.2/bias:0": "tf_model-00002-of-00004.h5",
|
476 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.2/attention.2/kernel:0": "tf_model-00002-of-00004.h5",
|
477 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.3/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
478 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.3/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
479 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.3/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
480 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
481 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.7/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
482 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.0/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
483 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.0/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
484 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.0/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
485 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
486 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
487 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.1/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
488 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.1/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
489 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.1/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
490 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
491 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
492 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.2/attention.0/bias:0": "tf_model-00002-of-00004.h5",
|
493 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.2/attention.0/kernel:0": "tf_model-00002-of-00004.h5",
|
494 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.2/attention.2/bias:0": "tf_model-00002-of-00004.h5",
|
495 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.2/attention.2/kernel:0": "tf_model-00002-of-00004.h5",
|
496 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.3/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
497 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.3/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
498 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.3/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
499 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
500 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.8/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
501 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.0/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
502 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.0/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
503 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.0/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
504 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
505 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
506 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.1/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
507 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.1/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
508 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.1/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
509 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
510 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
511 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.2/attention.0/bias:0": "tf_model-00002-of-00004.h5",
|
512 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.2/attention.0/kernel:0": "tf_model-00002-of-00004.h5",
|
513 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.2/attention.2/bias:0": "tf_model-00002-of-00004.h5",
|
514 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.2/attention.2/kernel:0": "tf_model-00002-of-00004.h5",
|
515 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.3/convolution/kernel:0": "tf_model-00002-of-00004.h5",
|
516 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.3/normalization/beta:0": "tf_model-00002-of-00004.h5",
|
517 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.3/normalization/gamma:0": "tf_model-00002-of-00004.h5",
|
518 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
519 |
+
"tf_reg_net_model/regnet/encoder/stages.2/layers.9/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
520 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.0/convolution/kernel:0": "tf_model-00004-of-00004.h5",
|
521 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.0/normalization/beta:0": "tf_model-00004-of-00004.h5",
|
522 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.0/normalization/gamma:0": "tf_model-00004-of-00004.h5",
|
523 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.0/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
524 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.0/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
525 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.1/convolution/kernel:0": "tf_model-00004-of-00004.h5",
|
526 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.1/normalization/beta:0": "tf_model-00004-of-00004.h5",
|
527 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.1/normalization/gamma:0": "tf_model-00004-of-00004.h5",
|
528 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.1/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
529 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.1/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
530 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.2/attention.0/bias:0": "tf_model-00004-of-00004.h5",
|
531 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.2/attention.0/kernel:0": "tf_model-00004-of-00004.h5",
|
532 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.2/attention.2/bias:0": "tf_model-00004-of-00004.h5",
|
533 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.2/attention.2/kernel:0": "tf_model-00004-of-00004.h5",
|
534 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.3/convolution/kernel:0": "tf_model-00004-of-00004.h5",
|
535 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.3/normalization/beta:0": "tf_model-00004-of-00004.h5",
|
536 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.3/normalization/gamma:0": "tf_model-00004-of-00004.h5",
|
537 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.3/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
538 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/layer.3/normalization/moving_variance:0": "tf_model-00004-of-00004.h5",
|
539 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/shortcut/convolution/kernel:0": "tf_model-00004-of-00004.h5",
|
540 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/shortcut/normalization/beta:0": "tf_model-00004-of-00004.h5",
|
541 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/shortcut/normalization/gamma:0": "tf_model-00004-of-00004.h5",
|
542 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/shortcut/normalization/moving_mean:0": "tf_model-00004-of-00004.h5",
|
543 |
+
"tf_reg_net_model/regnet/encoder/stages.3/layers.0/shortcut/normalization/moving_variance:0": "tf_model-00004-of-00004.h5"
|
544 |
+
}
|
545 |
+
}
|