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keras Flatten giving wrong output shape


How to set the input of a Keras layer of a functional model, with a Tensorflow tensor?Concatenation of list of 3-dimensional tensors along a specific axis in KerasIssue with Keras backend flattenKeras / Tensorflow: Wierd dropout behaviourKeras Model - Functional API - adding layers to existing modelBuilding an LSTM net with an embedding layer in KerasKeras Flatten Layer - Invalid Argument Error, matrix not flattening?KERAS: Get a SLICE of RNN timesteps with return_sequence = TrueUsing tf.batch_scatter_add in Keras













0















I am using keras Flatten() layer after a dropout layer whose output shape is (?,35,50). The output of Flatten() is (?,?) whereas it should be (?, 35*50).



The code snippet is-



y2=MyLayer((35,50))(y1)
y2=BatchNormalization()(y2)
y2=Dropout(0.5)(y2)

y3=Flatten()(y2)

y4=Dense(32)(y2)


The size of output of dropout layer is-




tf.Tensor 'dropout_22/cond/Merge:0' shape=(?, 35, 50) dtype=float32




And that of flatten layer is




tf.Tensor 'flatten_7/Reshape:0' shape=(?, ?) dtype=float32




Please suggest what is wrong.










share|improve this question






















  • You can always call y3.set_shape((None, 35*50)) if you know its shape.

    – Alexandre Passos
    Mar 14 at 16:51















0















I am using keras Flatten() layer after a dropout layer whose output shape is (?,35,50). The output of Flatten() is (?,?) whereas it should be (?, 35*50).



The code snippet is-



y2=MyLayer((35,50))(y1)
y2=BatchNormalization()(y2)
y2=Dropout(0.5)(y2)

y3=Flatten()(y2)

y4=Dense(32)(y2)


The size of output of dropout layer is-




tf.Tensor 'dropout_22/cond/Merge:0' shape=(?, 35, 50) dtype=float32




And that of flatten layer is




tf.Tensor 'flatten_7/Reshape:0' shape=(?, ?) dtype=float32




Please suggest what is wrong.










share|improve this question






















  • You can always call y3.set_shape((None, 35*50)) if you know its shape.

    – Alexandre Passos
    Mar 14 at 16:51













0












0








0








I am using keras Flatten() layer after a dropout layer whose output shape is (?,35,50). The output of Flatten() is (?,?) whereas it should be (?, 35*50).



The code snippet is-



y2=MyLayer((35,50))(y1)
y2=BatchNormalization()(y2)
y2=Dropout(0.5)(y2)

y3=Flatten()(y2)

y4=Dense(32)(y2)


The size of output of dropout layer is-




tf.Tensor 'dropout_22/cond/Merge:0' shape=(?, 35, 50) dtype=float32




And that of flatten layer is




tf.Tensor 'flatten_7/Reshape:0' shape=(?, ?) dtype=float32




Please suggest what is wrong.










share|improve this question














I am using keras Flatten() layer after a dropout layer whose output shape is (?,35,50). The output of Flatten() is (?,?) whereas it should be (?, 35*50).



The code snippet is-



y2=MyLayer((35,50))(y1)
y2=BatchNormalization()(y2)
y2=Dropout(0.5)(y2)

y3=Flatten()(y2)

y4=Dense(32)(y2)


The size of output of dropout layer is-




tf.Tensor 'dropout_22/cond/Merge:0' shape=(?, 35, 50) dtype=float32




And that of flatten layer is




tf.Tensor 'flatten_7/Reshape:0' shape=(?, ?) dtype=float32




Please suggest what is wrong.







python tensorflow keras neural-network






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Mar 8 at 6:38









Sandeep PandeySandeep Pandey

185




185












  • You can always call y3.set_shape((None, 35*50)) if you know its shape.

    – Alexandre Passos
    Mar 14 at 16:51

















  • You can always call y3.set_shape((None, 35*50)) if you know its shape.

    – Alexandre Passos
    Mar 14 at 16:51
















You can always call y3.set_shape((None, 35*50)) if you know its shape.

– Alexandre Passos
Mar 14 at 16:51





You can always call y3.set_shape((None, 35*50)) if you know its shape.

– Alexandre Passos
Mar 14 at 16:51












1 Answer
1






active

oldest

votes


















0














"My Layer" is probably the issue you should be checking. When reproduced without it:



from keras.layers import Input, Flatten
from keras.models import Model

input = Input((35, 50))
output = Flatten()(input)

model = Model(input, output)
model.summary()


You'll get




flatten_1 (Flatten) (None, 1750)







share|improve this answer























  • The output of MyLayer is perfectly fine. It gives a tensor of size ( ?, 35,50).

    – Sandeep Pandey
    Mar 9 at 2:53










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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









0














"My Layer" is probably the issue you should be checking. When reproduced without it:



from keras.layers import Input, Flatten
from keras.models import Model

input = Input((35, 50))
output = Flatten()(input)

model = Model(input, output)
model.summary()


You'll get




flatten_1 (Flatten) (None, 1750)







share|improve this answer























  • The output of MyLayer is perfectly fine. It gives a tensor of size ( ?, 35,50).

    – Sandeep Pandey
    Mar 9 at 2:53















0














"My Layer" is probably the issue you should be checking. When reproduced without it:



from keras.layers import Input, Flatten
from keras.models import Model

input = Input((35, 50))
output = Flatten()(input)

model = Model(input, output)
model.summary()


You'll get




flatten_1 (Flatten) (None, 1750)







share|improve this answer























  • The output of MyLayer is perfectly fine. It gives a tensor of size ( ?, 35,50).

    – Sandeep Pandey
    Mar 9 at 2:53













0












0








0







"My Layer" is probably the issue you should be checking. When reproduced without it:



from keras.layers import Input, Flatten
from keras.models import Model

input = Input((35, 50))
output = Flatten()(input)

model = Model(input, output)
model.summary()


You'll get




flatten_1 (Flatten) (None, 1750)







share|improve this answer













"My Layer" is probably the issue you should be checking. When reproduced without it:



from keras.layers import Input, Flatten
from keras.models import Model

input = Input((35, 50))
output = Flatten()(input)

model = Model(input, output)
model.summary()


You'll get




flatten_1 (Flatten) (None, 1750)








share|improve this answer












share|improve this answer



share|improve this answer










answered Mar 8 at 13:15









ianian

13011




13011












  • The output of MyLayer is perfectly fine. It gives a tensor of size ( ?, 35,50).

    – Sandeep Pandey
    Mar 9 at 2:53

















  • The output of MyLayer is perfectly fine. It gives a tensor of size ( ?, 35,50).

    – Sandeep Pandey
    Mar 9 at 2:53
















The output of MyLayer is perfectly fine. It gives a tensor of size ( ?, 35,50).

– Sandeep Pandey
Mar 9 at 2:53





The output of MyLayer is perfectly fine. It gives a tensor of size ( ?, 35,50).

– Sandeep Pandey
Mar 9 at 2:53



















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