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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
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
asked Mar 8 at 6:38
Sandeep PandeySandeep Pandey
185
add a comment |
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
asked Mar 8 at 6:38
Sandeep PandeySandeep Pandey
185
You can always call y3.set_shape((None, 35*50)) if you know its shape.
– Alexandre Passos
Mar 14 at 16:51
add a comment |
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
asked Mar 8 at 6:38
Sandeep PandeySandeep Pandey
185
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
python tensorflow keras neural-network
asked Mar 8 at 6:38
Sandeep PandeySandeep Pandey
185
asked Mar 8 at 6:38
Sandeep PandeySandeep Pandey
185
asked Mar 8 at 6:38
Sandeep PandeySandeep Pandey
185
asked Mar 8 at 6:38
Sandeep PandeySandeep Pandey
185
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
add a comment |
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
add a comment |
1 Answer
1
active
oldest
votes
"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)
answered Mar 8 at 13:15
ianian
13011
The output of MyLayer is perfectly fine. It gives a tensor of size ( ?, 35,50).
– Sandeep Pandey
Mar 9 at 2:53
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
"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)
answered Mar 8 at 13:15
ianian
13011
The output of MyLayer is perfectly fine. It gives a tensor of size ( ?, 35,50).
– Sandeep Pandey
Mar 9 at 2:53
add a comment |
"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)
answered Mar 8 at 13:15
ianian
13011
The output of MyLayer is perfectly fine. It gives a tensor of size ( ?, 35,50).
– Sandeep Pandey
Mar 9 at 2:53
add a comment |
"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)
answered Mar 8 at 13:15
ianian
13011
"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)
answered Mar 8 at 13:15
ianian
13011
answered Mar 8 at 13:15
ianian
13011
answered Mar 8 at 13:15
ianian
13011
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
add a comment |
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
add a comment |
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You can always call y3.set_shape((None, 35*50)) if you know its shape.
– Alexandre Passos
Mar 14 at 16:51