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Update info about 1.5-SqNxt-23 model
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@osmr
osmr committed Feb 6, 2019
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1 change: 1 addition & 0 deletions chainer_/README.md
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Expand Up @@ -173,6 +173,7 @@ Some remarks:
| SqueezeResNet v1.1 | 39.85 | 17.87 | 1,235,496 | 352.02M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.70/squeezeresnet_v1_1-1787-f40e6051.npz.log)) |
| 1.0-SqNxt-23 | 42.62 | 19.03 | 724,056 | 287.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.171/sqnxt23_w1-1903-ef3d725b.npz.log)) |
| 1.0-SqNxt-23v5 | 40.96 | 17.86 | 921,816 | 285.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.172/sqnxt23v5_w1-1786-8b24c6e3.npz.log)) |
| 1.5-SqNxt-23 | 34.71 | 13.44 | 1,511,824 | 552.39M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.210/sqnxt23_w3d2-1344-a5c3b21e.npz.log)) |
| ShuffleNet x0.25 (g=1) | 62.04 | 36.81 | 209,746 | 12.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.134/shufflenet_g1_wd4-3681-15d3e787.npz.log)) |
| ShuffleNet x0.25 (g=3) | 61.30 | 36.16 | 305,902 | 13.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.135/shufflenet_g3_wd4-3616-064f7f7f.npz.log)) |
| ShuffleNet x0.5 (g=1) | 46.24 | 22.35 | 534,484 | 41.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.174/shufflenet_g1_wd2-2235-5d83cc28.npz.log)) |
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1 change: 1 addition & 0 deletions chainer_/chainercv2/models/model_store.py
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Expand Up @@ -98,6 +98,7 @@
('squeezeresnet_v1_1', '1787', 'f40e60512a8b66f314f4d7ffab9b18dd31715b3a', 'v0.0.70'),
('sqnxt23_w1', '1903', 'ef3d725b418277e98ed5e590e615cc13df2f001e', 'v0.0.171'),
('sqnxt23v5_w1', '1786', '8b24c6e36f00be6d1b970f3c10e2b956fe281357', 'v0.0.172'),
('sqnxt23_w3d2', '1344', 'a5c3b21eb05532cba4b35f530fea2bdaac3d6bf5', 'v0.0.210'),
('shufflenet_g1_wd4', '3681', '15d3e7871b85cee9283663bbbc78dfe5e1a1a1db', 'v0.0.134'),
('shufflenet_g3_wd4', '3616', '064f7f7f1dd327f43e16adf5e4864a31e16d9ad9', 'v0.0.135'),
('shufflenet_g1_wd2', '2235', '5d83cc2822fbd0669af75d93c7940aa09e78d317', 'v0.0.174'),
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8 changes: 4 additions & 4 deletions chainer_/chainercv2/models/squeezenext.py
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Expand Up @@ -277,7 +277,7 @@ def sqnxt23_w1(**kwargs):

def sqnxt23_w3d2(**kwargs):
"""
0.75-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
1.5-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
Expand All @@ -291,7 +291,7 @@ def sqnxt23_w3d2(**kwargs):

def sqnxt23_w2(**kwargs):
"""
0.5-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
2.0-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
Expand Down Expand Up @@ -319,7 +319,7 @@ def sqnxt23v5_w1(**kwargs):

def sqnxt23v5_w3d2(**kwargs):
"""
0.75-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
1.5-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
Expand All @@ -333,7 +333,7 @@ def sqnxt23v5_w3d2(**kwargs):

def sqnxt23v5_w2(**kwargs):
"""
0.5-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
2.0-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
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1 change: 1 addition & 0 deletions gluon/README.md
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Expand Up @@ -191,6 +191,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the
| SqueezeResNet v1.1 | 39.83 | 17.84 | 1,235,496 | 352.02M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.70/squeezeresnet_v1_1-1784-26064b82.params.log)) |
| 1.0-SqNxt-23 | 42.25 | 18.66 | 724,056 | 287.28M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.171/sqnxt23_w1-1866-73b700c4.params.log)) |
| 1.0-SqNxt-23v5 | 40.43 | 17.43 | 921,816 | 285.82M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.172/sqnxt23v5_w1-1743-7a83722e.params.log)) |
| 1.5-SqNxt-23 | 34.46 | 13.21 | 1,511,824 | 552.39M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.210/sqnxt23_w3d2-1321-4d733bcd.params.log)) |
| ShuffleNet x0.25 (g=1) | 62.00 | 36.77 | 209,746 | 12.35M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.134/shufflenet_g1_wd4-3677-ee58f368.params.log)) |
| ShuffleNet x0.25 (g=3) | 61.34 | 36.17 | 305,902 | 13.09M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.135/shufflenet_g3_wd4-3617-bd08e3ed.params.log)) |
| ShuffleNet x0.5 (g=1) | 46.22 | 22.38 | 534,484 | 41.16M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.174/shufflenet_g1_wd2-2238-f77dcd18.params.log)) |
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1 change: 1 addition & 0 deletions gluon/gluoncv2/models/model_store.py
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Expand Up @@ -105,6 +105,7 @@
('squeezeresnet_v1_1', '1784', '26064b82773e7a7175d6038976a73abfcd5ed2be', 'v0.0.70'),
('sqnxt23_w1', '1866', '73b700c40de5f7be9d2cf4ed30cc8935c670a3c3', 'v0.0.171'),
('sqnxt23v5_w1', '1743', '7a83722e7d362cef950d8534020f837caf9e6314', 'v0.0.172'),
('sqnxt23_w3d2', '1321', '4d733bcd19f1e502ebc46b52f0b69d959636902e', 'v0.0.210'),
('shufflenet_g1_wd4', '3677', 'ee58f36811d023e1b2e651469c470e588c93f9d3', 'v0.0.134'),
('shufflenet_g3_wd4', '3617', 'bd08e3ed6aff4993cf5363fe8acaf0b22394bea0', 'v0.0.135'),
('shufflenet_g1_wd2', '2238', 'f77dcd18d3b759a3046bd4a2443c40e4ff455313', 'v0.0.174'),
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8 changes: 4 additions & 4 deletions gluon/gluoncv2/models/squeezenext.py
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Expand Up @@ -276,7 +276,7 @@ def sqnxt23_w1(**kwargs):

def sqnxt23_w3d2(**kwargs):
"""
0.75-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
1.5-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
Expand All @@ -292,7 +292,7 @@ def sqnxt23_w3d2(**kwargs):

def sqnxt23_w2(**kwargs):
"""
0.5-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
2.0-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
Expand Down Expand Up @@ -324,7 +324,7 @@ def sqnxt23v5_w1(**kwargs):

def sqnxt23v5_w3d2(**kwargs):
"""
0.75-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
1.5-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
Expand All @@ -340,7 +340,7 @@ def sqnxt23v5_w3d2(**kwargs):

def sqnxt23v5_w2(**kwargs):
"""
0.5-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
2.0-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
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1 change: 1 addition & 0 deletions keras_/README.md
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Expand Up @@ -118,6 +118,7 @@ Some remarks:
| SqueezeResNet v1.1 | 39.82 | 17.84 | 1,235,496 | 352.02M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.70/squeezeresnet_v1_1-1784-43ee9cbb.h5.log)) |
| 1.0-SqNxt-23 | 42.28 | 18.62 | 724,056 | 287.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.171/sqnxt23_w1-1862-cab60636.h5.log)) |
| 1.0-SqNxt-23v5 | 40.38 | 17.57 | 921,816 | 285.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.172/sqnxt23v5_w1-1757-96b94e1d.h5.log)) |
| 1.5-SqNxt-23 | 34.59 | 13.30 | 1,511,824 | 552.39M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.210/sqnxt23_w3d2-1330-e52625a0.h5.log)) |
| ShuffleNet x0.25 (g=1) | 62.00 | 36.76 | 209,746 | 12.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.134/shufflenet_g1_wd4-3676-cb39b773.h5.log)) |
| ShuffleNet x0.25 (g=3) | 61.32 | 36.15 | 305,902 | 13.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.135/shufflenet_g3_wd4-3615-21150468.h5.log)) |
| ShuffleNet x0.5 (g=1) | 46.21 | 22.38 | 534,484 | 41.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.174/shufflenet_g1_wd2-2238-76709a36.h5.log)) |
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1 change: 1 addition & 0 deletions keras_/kerascv/models/model_store.py
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Expand Up @@ -64,6 +64,7 @@
('squeezeresnet_v1_1', '1784', '43ee9cbbb91046f5316ee14e227f8323b1801b51', 'v0.0.70'),
('sqnxt23_w1', '1862', 'cab60636597912e7861d7b6618ecb390b90545ec', 'v0.0.171'),
('sqnxt23v5_w1', '1757', '96b94e1dfa1872f96f9b1ce99546a0613bfb1775', 'v0.0.172'),
('sqnxt23_w3d2', '1330', 'e52625a000e7a0b02fdf01c64b18a8a21c10b7cd', 'v0.0.210'),
('shufflenet_g1_wd4', '3676', 'cb39b77366909eb13b736497c6eb239efb69e4ac', 'v0.0.134'),
('shufflenet_g3_wd4', '3615', '21150468a44c548845b2304700445485407670c7', 'v0.0.135'),
('shufflenet_g1_wd2', '2238', '76709a36a9fb8feb2c9ac50fecfcbccdc2bf77ec', 'v0.0.174'),
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8 changes: 4 additions & 4 deletions keras_/kerascv/models/squeezenext.py
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Expand Up @@ -284,7 +284,7 @@ def sqnxt23_w1(**kwargs):

def sqnxt23_w3d2(**kwargs):
"""
0.75-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
1.5-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
Expand All @@ -298,7 +298,7 @@ def sqnxt23_w3d2(**kwargs):

def sqnxt23_w2(**kwargs):
"""
0.5-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
2.0-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
Expand Down Expand Up @@ -326,7 +326,7 @@ def sqnxt23v5_w1(**kwargs):

def sqnxt23v5_w3d2(**kwargs):
"""
0.75-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
1.5-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
Expand All @@ -340,7 +340,7 @@ def sqnxt23v5_w3d2(**kwargs):

def sqnxt23v5_w2(**kwargs):
"""
0.5-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
2.0-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
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1 change: 1 addition & 0 deletions pytorch/README.md
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Expand Up @@ -185,6 +185,7 @@ OpenCV `Resize` transformation instead of PIL one quality evaluation results wil
| SqueezeResNet v1.1 | 40.09 | 18.21 | 1,235,496 | 352.02M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.70/squeezeresnet_v1_1-1821-c27ed88f.pth.log)) |
| 1.0-SqNxt-23 | 42.51 | 19.06 | 724,056 | 287.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.171/sqnxt23_w1-1906-97b74e0c.pth.log)) |
| 1.0-SqNxt-23v5 | 40.77 | 17.85 | 921,816 | 285.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.172/sqnxt23v5_w1-1785-2fe3ad67.pth.log)) |
| 1.5-SqNxt-23 | 34.89 | 13.50 | 1,511,824 | 552.39M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.210/sqnxt23_w3d2-1350-c2f21bce.pth.log)) |
| ShuffleNet x0.25 (g=1) | 62.44 | 37.29 | 209,746 | 12.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.134/shufflenet_g1_wd4-3729-47dbd0f2.pth.log)) |
| ShuffleNet x0.25 (g=3) | 61.74 | 36.53 | 305,902 | 13.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.135/shufflenet_g3_wd4-3653-6abdd65e.pth.log)) |
| ShuffleNet x0.5 (g=1) | 46.59 | 22.61 | 534,484 | 41.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.174/shufflenet_g1_wd2-2261-dae4bdad.pth.log)) |
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1 change: 1 addition & 0 deletions pytorch/pytorchcv/models/model_store.py
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Expand Up @@ -104,6 +104,7 @@
('squeezeresnet_v1_1', '1821', 'c27ed88f1b19eb233d3925efc71c71d25e4c434e', 'v0.0.70'),
('sqnxt23_w1', '1906', '97b74e0c4d6bf9fc939771d94b2f6dd97de34024', 'v0.0.171'),
('sqnxt23v5_w1', '1785', '2fe3ad67d73313193a77690b10c17cbceef92340', 'v0.0.172'),
('sqnxt23_w3d2', '1350', 'c2f21bce669dbe50fba544bcc39bc1302f63e1e8', 'v0.0.210'),
('shufflenet_g1_wd4', '3729', '47dbd0f279da6d3056079bb79ad39cabbb3b9415', 'v0.0.134'),
('shufflenet_g3_wd4', '3653', '6abdd65e087e71f80345415cdf7ada6ed2762d60', 'v0.0.135'),
('shufflenet_g1_wd2', '2261', 'dae4bdadd7d48bee791dff2a08cd697cff0e9320', 'v0.0.174'),
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8 changes: 4 additions & 4 deletions pytorch/pytorchcv/models/squeezenext.py
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Expand Up @@ -271,7 +271,7 @@ def sqnxt23_w1(**kwargs):

def sqnxt23_w3d2(**kwargs):
"""
0.75-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
1.5-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
Expand All @@ -285,7 +285,7 @@ def sqnxt23_w3d2(**kwargs):

def sqnxt23_w2(**kwargs):
"""
0.5-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
2.0-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
Expand Down Expand Up @@ -313,7 +313,7 @@ def sqnxt23v5_w1(**kwargs):

def sqnxt23v5_w3d2(**kwargs):
"""
0.75-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
1.5-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
Expand All @@ -327,7 +327,7 @@ def sqnxt23v5_w3d2(**kwargs):

def sqnxt23v5_w2(**kwargs):
"""
0.5-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
2.0-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
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1 change: 1 addition & 0 deletions tensorflow_/README.md
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Expand Up @@ -122,6 +122,7 @@ Some remarks:
| SqueezeResNet v1.1 | 39.75 | 17.92 | 1,235,496 | 352.02M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.79/squeezeresnet_v1_1-1792-44c17928.tf.npz.log)) |
| 1.0-SqNxt-23 | 45.41 | 21.08 | 724,056 | 287.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.171/sqnxt23_w1-2108-62670200.tf.npz.log)) |
| 1.0-SqNxt-23v5 | 44.68 | 20.77 | 921,816 | 285.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.172/sqnxt23v5_w1-2077-ebc0c53d.tf.npz.log)) |
| 1.5-SqNxt-23 | 37.11 | 15.09 | 1,511,824 | 552.39M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.210/sqnxt23_w3d2-1509-8fbdcd6d.tf.npz.log)) |
| ShuffleNet x0.25 (g=1) | 62.03 | 36.80 | 209,746 | 12.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.134/shufflenet_g1_wd4-3680-3d985635.tf.npz.log)) |
| ShuffleNet x0.25 (g=3) | 61.33 | 36.17 | 305,902 | 13.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.135/shufflenet_g3_wd4-3617-8f00e642.tf.npz.log)) |
| ShuffleNet x0.5 (g=1) | 46.25 | 22.31 | 534,484 | 41.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.174/shufflenet_g1_wd2-2231-d5356e3b.tf.npz.log)) |
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1 change: 1 addition & 0 deletions tensorflow_/tensorflowcv/models/model_store.py
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Expand Up @@ -64,6 +64,7 @@
('squeezeresnet_v1_1', '1792', '44c1792845488013cb3b9286c9cb7f868d590ab9', 'v0.0.79'),
('sqnxt23_w1', '2108', '6267020032ac7d6aa0905b916954864cdfea4934', 'v0.0.171'),
('sqnxt23v5_w1', '2077', 'ebc0c53dc0c39e72eb620b06c2eb07ba451fb28d', 'v0.0.172'),
('sqnxt23_w3d2', '1509', '8fbdcd6dde6a3fb2f8e8aab4d1eb828123becfb5', 'v0.0.210'),
('shufflenet_g1_wd4', '3680', '3d9856357041fb69f4a6ddf0208e7821605487a9', 'v0.0.134'),
('shufflenet_g3_wd4', '3617', '8f00e642cfc2b7ab8b1a770513bb46190c3bcb7d', 'v0.0.135'),
('shufflenet_g1_wd2', '2231', 'd5356e3b04c4a30d568755807e996821098d8aae', 'v0.0.174'),
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8 changes: 4 additions & 4 deletions tensorflow_/tensorflowcv/models/squeezenext.py
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Expand Up @@ -335,7 +335,7 @@ def sqnxt23_w1(**kwargs):

def sqnxt23_w3d2(**kwargs):
"""
0.75-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
1.5-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
Expand All @@ -354,7 +354,7 @@ def sqnxt23_w3d2(**kwargs):

def sqnxt23_w2(**kwargs):
"""
0.5-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
2.0-SqNxt-23 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
Expand Down Expand Up @@ -392,7 +392,7 @@ def sqnxt23v5_w1(**kwargs):

def sqnxt23v5_w3d2(**kwargs):
"""
0.75-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
1.5-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
Expand All @@ -411,7 +411,7 @@ def sqnxt23v5_w3d2(**kwargs):

def sqnxt23v5_w2(**kwargs):
"""
0.5-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
2.0-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
Parameters:
----------
Expand Down

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