Sequential model input layer convert

[yanwang271]

Hi Avanti,

I was trying to apply DeepLIFT to a sequential model. When using "kc.convert_model_from_saved_files" function, it gave error:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "deeplift/deeplift/conversion/kerasapi_conversion.py", line 388, in convert_model_from_saved_files
    +" weights file which has layer names "+str(model_weights.keys()))
AssertionError: Layer conv1d_3_input is in the layer names but not in the  weights file which has layer names <KeysViewHDF5 ['conv1d', 'conv1d_1', 'conv1d_2', 'conv1d_3', 'dense', 'dense_1', 'dropout', 'dropout_1', 'flatten', 'max_pooling1d', 'max_pooling1d_1']>

The conv1d_3_input is the input layer, which should not have weights. Could you help me with it?

If it helps, below is part of the model config:

{'name': 'sequential', 'layers': [{'class_name': 'InputLayer', 'config': {'batch_input_shape': [None, 500, 4], 'dtype': 'float32', 'sparse': False, 'ragged': False, 'name': 'conv1d_3_input'}}, {'class_name': 'Conv1D', 'config': {'name': 'conv1d_3', 'trainable': True, 'batch_input_shape': [None, 500, 4], 'dtype': 'float32', 'filters': 32, 'kernel_size': [12], 'strides': [1], 'padding': 'valid', 'data_format': 'channels_last', 'dilation_rate': [1], 'groups': 1, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, {'class_name': 'Conv1D', 'config': {'name': 'conv1d_2', 'trainable': True, 'dtype': 'float32', 'filters': 32, 'kernel_size': [12], 'strides': [1], 'padding': 'valid', 'data_format': 'channels_last', 'dilation_rate': [1], 'groups': 1, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, ...

Thanks!
Yan

[akundaje]

Yan - Apologies for that response from Av. I don't think she has the bandwidth at the moment to answer your questions. I would suggest switching over the the SHAP repo which has a flexible implementation of a version of DeepLIFT (DeepSHAP / DeepExplainer) https://github.com/slundberg/shap . Thanks Anshul

…

On Sun, Mar 6, 2022, 2:31 PM Av Shrikumar ***@***.***> wrote: Hey man real talk. I hate this stupid project because it has been associated with very bad trauma for me (a trusted friend and colleague suddenly behaved like a very horrible bully to me). And so I probably won’t respond to you for a while because I seriously hate thinking about deeplift. And I gotta ask you: aren’t there more interesting things to think about? After all deeplift is just another made up explanation. On Sun, Mar 6, 2022 at 2:28 PM yanwang271 ***@***.***> wrote: > Hi Avanti, > > I was trying to apply DeepLIFT to a sequential model. When using > "kc.convert_model_from_saved_files" function, it gave error: > > Traceback (most recent call last): > File "<stdin>", line 1, in <module> > File "deeplift/deeplift/conversion/kerasapi_conversion.py", line 388, in convert_model_from_saved_files > +" weights file which has layer names "+str(model_weights.keys())) > AssertionError: Layer conv1d_3_input is in the layer names but not in the weights file which has layer names <KeysViewHDF5 ['conv1d', 'conv1d_1', 'conv1d_2', 'conv1d_3', 'dense', 'dense_1', 'dropout', 'dropout_1', 'flatten', 'max_pooling1d', 'max_pooling1d_1']> > > The conv1d_3_input is the input layer, which should not have weights. > Could you help me with it? > > If it helps, below is part of the model config: > > {'name': 'sequential', 'layers': [{'class_name': 'InputLayer', 'config': {'batch_input_shape': [None, 500, 4], 'dtype': 'float32', 'sparse': False, 'ragged': False, 'name': 'conv1d_3_input'}}, {'class_name': 'Conv1D', 'config': {'name': 'conv1d_3', 'trainable': True, 'batch_input_shape': [None, 500, 4], 'dtype': 'float32', 'filters': 32, 'kernel_size': [12], 'strides': [1], 'padding': 'valid', 'data_format': 'channels_last', 'dilation_rate': [1], 'groups': 1, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, {'class_name': 'Conv1D', 'config': {'name': 'conv1d_2', 'trainable': True, 'dtype': 'float32', 'filters': 32, 'kernel_size': [12], 'strides': [1], 'padding': 'valid', 'data_format': 'channels_last', 'dilation_rate': [1], 'groups': 1, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, ... > > Thanks! > Yan > > — > Reply to this email directly, view it on GitHub > <#129>, or unsubscribe > < https://github.com/notifications/unsubscribe-auth/AARSFBUQA4CILRZY5UH64A3U6UWQLANCNFSM5QBWLTZA > > . > Triage notifications on the go with GitHub Mobile for iOS > < https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 > > or Android > < https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub >. > > You are receiving this because you are subscribed to this thread.Message > ID: ***@***.***> > -- Sent from my phone, please excuse brevity/typos — Reply to this email directly, view it on GitHub <#129 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AABDWEKB2YPJJTX3Y2ZHFODU6UW5FANCNFSM5QBWLTZA> . Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>. You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>

[AvantiShri]

Sincerely sorry if I appeared angry. I was trying to inspire you On Sun, Mar 6, 2022 at 2:42 PM Anshul Kundaje ***@***.***> wrote:

Yan - Apologies for that response from Av. I don't think she has the bandwidth at the moment to answer your questions. I would suggest switching over the the SHAP repo which has a flexible implementation of a version of DeepLIFT (DeepSHAP / DeepExplainer) https://github.com/slundberg/shap . Thanks Anshul On Sun, Mar 6, 2022, 2:31 PM Av Shrikumar ***@***.***> wrote: > Hey man real talk. I hate this stupid project because it has been > associated with very bad trauma for me (a trusted friend and colleague > suddenly behaved like a very horrible bully to me). And so I probably won’t > respond to you for a while because I seriously hate thinking about > deeplift. And I gotta ask you: aren’t there more interesting things to > think about? After all deeplift is just another made up explanation. > > On Sun, Mar 6, 2022 at 2:28 PM yanwang271 ***@***.***> wrote: > > > Hi Avanti, > > > > I was trying to apply DeepLIFT to a sequential model. When using > > "kc.convert_model_from_saved_files" function, it gave error: > > > > Traceback (most recent call last): > > File "<stdin>", line 1, in <module> > > File "deeplift/deeplift/conversion/kerasapi_conversion.py", line 388, in > convert_model_from_saved_files > > +" weights file which has layer names "+str(model_weights.keys())) > > AssertionError: Layer conv1d_3_input is in the layer names but not in > the weights file which has layer names <KeysViewHDF5 ['conv1d', 'conv1d_1', > 'conv1d_2', 'conv1d_3', 'dense', 'dense_1', 'dropout', 'dropout_1', > 'flatten', 'max_pooling1d', 'max_pooling1d_1']> > > > > The conv1d_3_input is the input layer, which should not have weights. > > Could you help me with it? > > > > If it helps, below is part of the model config: > > > > {'name': 'sequential', 'layers': [{'class_name': 'InputLayer', 'config': > {'batch_input_shape': [None, 500, 4], 'dtype': 'float32', 'sparse': False, > 'ragged': False, 'name': 'conv1d_3_input'}}, {'class_name': 'Conv1D', > 'config': {'name': 'conv1d_3', 'trainable': True, 'batch_input_shape': > [None, 500, 4], 'dtype': 'float32', 'filters': 32, 'kernel_size': [12], > 'strides': [1], 'padding': 'valid', 'data_format': 'channels_last', > 'dilation_rate': [1], 'groups': 1, 'activation': 'relu', 'use_bias': True, > 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': > None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, > 'kernel_regularizer': None, 'bias_regularizer': None, > 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': > None}}, {'class_name': 'Conv1D', 'config': {'name': 'conv1d_2', > 'trainable': True, 'dtype': 'float32', 'filters': 32, 'kernel_size': [12], > 'strides': [1], 'padding': 'valid', 'data_format': 'channels_last', > 'dilation_rate': [1], 'groups': 1, 'activation': 'relu', 'use_bias': True, > 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': > None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, > 'kernel_regularizer': None, 'bias_regularizer': None, > 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': > None}}, ... > > > > Thanks! > > Yan > > > > — > > Reply to this email directly, view it on GitHub > > <#129>, or unsubscribe > > < > https://github.com/notifications/unsubscribe-auth/AARSFBUQA4CILRZY5UH64A3U6UWQLANCNFSM5QBWLTZA > > > > . > > Triage notifications on the go with GitHub Mobile for iOS > > < > https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 > > > > or Android > > < > https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub > >. > > > > You are receiving this because you are subscribed to this thread.Message > > ID: ***@***.***> > > > -- > Sent from my phone, please excuse brevity/typos > > — > Reply to this email directly, view it on GitHub > < #129 (comment) >, > or unsubscribe > < https://github.com/notifications/unsubscribe-auth/AABDWEKB2YPJJTX3Y2ZHFODU6UW5FANCNFSM5QBWLTZA > > . > Triage notifications on the go with GitHub Mobile for iOS > < https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 > > or Android > < https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub >. > > You are receiving this because you are subscribed to this thread.Message > ID: ***@***.***> > — Reply to this email directly, view it on GitHub <#129 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AARSFBWZDLOKOSPL6OZNIXTU6UYFTANCNFSM5QBWLTZA> . Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>. You are receiving this because you commented.Message ID: ***@***.***>

-- Sent from my phone, please excuse brevity/typos