ImportError: cannot import name 'normalize_data_format'
I have read an article Here and its pretty nice enough to understand. Given its implementation on GitHub. When I am trying to train at my own using given code it gives me an Import Error in this file at line 117 like following. I am using google Colab environment. Having some search over the error i got that the following line is compatible to keras version==2.2.2. I have also installed that yet not solved with the error. Please help me to get over it. By default keras version installed in colab is 2.2.4
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-47-f8ce7e15cf87> in <module>()
9 from keras.layers.merge import Add
10 from keras.utils import conv_utils
---> 11 from keras.utils.conv_utils import normalize_data_format
12
13 from keras.layers.core import Dropout
ImportError: cannot import name 'normalize_data_format'
---------------------------------------------------------------------------
python-3.x keras deep-learning conv-neural-network keras-layer
asked Nov 23 '18 at 7:18
zeeshan nisar
266310
add a comment |
I have read an article Here and its pretty nice enough to understand. Given its implementation on GitHub. When I am trying to train at my own using given code it gives me an Import Error in this file at line 117 like following. I am using google Colab environment. Having some search over the error i got that the following line is compatible to keras version==2.2.2. I have also installed that yet not solved with the error. Please help me to get over it. By default keras version installed in colab is 2.2.4
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-47-f8ce7e15cf87> in <module>()
9 from keras.layers.merge import Add
10 from keras.utils import conv_utils
---> 11 from keras.utils.conv_utils import normalize_data_format
12
13 from keras.layers.core import Dropout
ImportError: cannot import name 'normalize_data_format'
---------------------------------------------------------------------------
python-3.x keras deep-learning conv-neural-network keras-layer
asked Nov 23 '18 at 7:18
zeeshan nisar
266310
add a comment |
I have read an article Here and its pretty nice enough to understand. Given its implementation on GitHub. When I am trying to train at my own using given code it gives me an Import Error in this file at line 117 like following. I am using google Colab environment. Having some search over the error i got that the following line is compatible to keras version==2.2.2. I have also installed that yet not solved with the error. Please help me to get over it. By default keras version installed in colab is 2.2.4
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-47-f8ce7e15cf87> in <module>()
9 from keras.layers.merge import Add
10 from keras.utils import conv_utils
---> 11 from keras.utils.conv_utils import normalize_data_format
12
13 from keras.layers.core import Dropout
ImportError: cannot import name 'normalize_data_format'
---------------------------------------------------------------------------
python-3.x keras deep-learning conv-neural-network keras-layer
asked Nov 23 '18 at 7:18
zeeshan nisar
266310
I have read an article Here and its pretty nice enough to understand. Given its implementation on GitHub. When I am trying to train at my own using given code it gives me an Import Error in this file at line 117 like following. I am using google Colab environment. Having some search over the error i got that the following line is compatible to keras version==2.2.2. I have also installed that yet not solved with the error. Please help me to get over it. By default keras version installed in colab is 2.2.4
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-47-f8ce7e15cf87> in <module>()
9 from keras.layers.merge import Add
10 from keras.utils import conv_utils
---> 11 from keras.utils.conv_utils import normalize_data_format
12
13 from keras.layers.core import Dropout
ImportError: cannot import name 'normalize_data_format'
---------------------------------------------------------------------------
python-3.x keras deep-learning conv-neural-network keras-layer
python-3.x keras deep-learning conv-neural-network keras-layer
asked Nov 23 '18 at 7:18
zeeshan nisar
266310
asked Nov 23 '18 at 7:18
zeeshan nisar
266310
asked Nov 23 '18 at 7:18
zeeshan nisar
266310
asked Nov 23 '18 at 7:18
zeeshan nisar
266310
asked Nov 23 '18 at 7:18
zeeshan nisar
266310
266310
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
https://github.com/keras-team/keras/blob/master/keras/utils/conv_utils.py
master branch's conv_utils doesn't have normalize_data_format.
some of the other branches do have it such as tf-keras branch.
It is a trivial function here is its implementation:
import keras.backend as K
def normalize_data_format(value):
if value is None:
value = K.image_data_format()
data_format = value.lower()
if data_format not in {'channels_first', 'channels_last'}:
raise ValueError('The `data_format` argument must be one of '
'"channels_first", "channels_last". Received: ' +
str(value))
return data_format
answered Nov 23 '18 at 7:47
Mete Han Kahraman
40017
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
https://github.com/keras-team/keras/blob/master/keras/utils/conv_utils.py
master branch's conv_utils doesn't have normalize_data_format.
some of the other branches do have it such as tf-keras branch.
It is a trivial function here is its implementation:
import keras.backend as K
def normalize_data_format(value):
if value is None:
value = K.image_data_format()
data_format = value.lower()
if data_format not in {'channels_first', 'channels_last'}:
raise ValueError('The `data_format` argument must be one of '
'"channels_first", "channels_last". Received: ' +
str(value))
return data_format
answered Nov 23 '18 at 7:47
Mete Han Kahraman
40017
add a comment |
https://github.com/keras-team/keras/blob/master/keras/utils/conv_utils.py
master branch's conv_utils doesn't have normalize_data_format.
some of the other branches do have it such as tf-keras branch.
It is a trivial function here is its implementation:
import keras.backend as K
def normalize_data_format(value):
if value is None:
value = K.image_data_format()
data_format = value.lower()
if data_format not in {'channels_first', 'channels_last'}:
raise ValueError('The `data_format` argument must be one of '
'"channels_first", "channels_last". Received: ' +
str(value))
return data_format
answered Nov 23 '18 at 7:47
Mete Han Kahraman
40017
add a comment |
https://github.com/keras-team/keras/blob/master/keras/utils/conv_utils.py
master branch's conv_utils doesn't have normalize_data_format.
some of the other branches do have it such as tf-keras branch.
It is a trivial function here is its implementation:
import keras.backend as K
def normalize_data_format(value):
if value is None:
value = K.image_data_format()
data_format = value.lower()
if data_format not in {'channels_first', 'channels_last'}:
raise ValueError('The `data_format` argument must be one of '
'"channels_first", "channels_last". Received: ' +
str(value))
return data_format
answered Nov 23 '18 at 7:47
Mete Han Kahraman
40017
https://github.com/keras-team/keras/blob/master/keras/utils/conv_utils.py
master branch's conv_utils doesn't have normalize_data_format.
some of the other branches do have it such as tf-keras branch.
It is a trivial function here is its implementation:
import keras.backend as K
def normalize_data_format(value):
if value is None:
value = K.image_data_format()
data_format = value.lower()
if data_format not in {'channels_first', 'channels_last'}:
raise ValueError('The `data_format` argument must be one of '
'"channels_first", "channels_last". Received: ' +
str(value))
return data_format
answered Nov 23 '18 at 7:47
Mete Han Kahraman
40017
answered Nov 23 '18 at 7:47
Mete Han Kahraman
40017
answered Nov 23 '18 at 7:47
Mete Han Kahraman
40017
answered Nov 23 '18 at 7:47
Mete Han Kahraman
40017
40017
add a comment |
add a comment |
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