In Keras, how to use Reshape layer with None dimension?
In my model, a layer has a shape of [None, None, 40, 64]. I want to reshape this into [None, None, 40*64]. However, if I simply do the following:
reshaped_layer = Reshape((None, None, 40*64))(my_layer)
It throws an error complaining that None values not supported.
(Just to be clear, this is not tf.keras, this is just Keras).
python keras reshape keras-layer
edited Nov 23 '18 at 12:48
today
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asked Nov 23 '18 at 1:47
foobarfoobar
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In my model, a layer has a shape of [None, None, 40, 64]. I want to reshape this into [None, None, 40*64]. However, if I simply do the following:
reshaped_layer = Reshape((None, None, 40*64))(my_layer)
It throws an error complaining that None values not supported.
(Just to be clear, this is not tf.keras, this is just Keras).
python keras reshape keras-layer
edited Nov 23 '18 at 12:48
today
10.8k21837
asked Nov 23 '18 at 1:47
foobarfoobar
3,678113751
If the answer resolved your issue, kindly accept it by clicking on the checkmark next to the answer to mark it as "answered" - see What should I do when someone answers my question?
– today
Nov 26 '18 at 15:58
add a comment |
In my model, a layer has a shape of [None, None, 40, 64]. I want to reshape this into [None, None, 40*64]. However, if I simply do the following:
reshaped_layer = Reshape((None, None, 40*64))(my_layer)
It throws an error complaining that None values not supported.
(Just to be clear, this is not tf.keras, this is just Keras).
python keras reshape keras-layer
edited Nov 23 '18 at 12:48
today
10.8k21837
asked Nov 23 '18 at 1:47
foobarfoobar
3,678113751
In my model, a layer has a shape of [None, None, 40, 64]. I want to reshape this into [None, None, 40*64]. However, if I simply do the following:
reshaped_layer = Reshape((None, None, 40*64))(my_layer)
It throws an error complaining that None values not supported.
(Just to be clear, this is not tf.keras, this is just Keras).
python keras reshape keras-layer
python keras reshape keras-layer
edited Nov 23 '18 at 12:48
today
10.8k21837
asked Nov 23 '18 at 1:47
foobarfoobar
3,678113751
edited Nov 23 '18 at 12:48
today
10.8k21837
asked Nov 23 '18 at 1:47
foobarfoobar
3,678113751
edited Nov 23 '18 at 12:48
today
10.8k21837
edited Nov 23 '18 at 12:48
today
10.8k21837
edited Nov 23 '18 at 12:48
today
10.8k21837
10.8k21837
asked Nov 23 '18 at 1:47
foobarfoobar
3,678113751
asked Nov 23 '18 at 1:47
foobarfoobar
3,678113751
asked Nov 23 '18 at 1:47
foobarfoobar
3,678113751
3,678113751
If the answer resolved your issue, kindly accept it by clicking on the checkmark next to the answer to mark it as "answered" - see What should I do when someone answers my question?
– today
Nov 26 '18 at 15:58
add a comment |
If the answer resolved your issue, kindly accept it by clicking on the checkmark next to the answer to mark it as "answered" - see What should I do when someone answers my question?
– today
Nov 26 '18 at 15:58
If the answer resolved your issue, kindly accept it by clicking on the checkmark next to the answer to mark it as "answered" - see What should I do when someone answers my question?
– today
Nov 26 '18 at 15:58
If the answer resolved your issue, kindly accept it by clicking on the checkmark next to the answer to mark it as "answered" - see What should I do when someone answers my question?
– today
Nov 26 '18 at 15:58
add a comment |
1 Answer
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First of all, the argument you pass to Reshape layer is the desired shape of one sample in the batch and not the whole batch of samples. So since each of the samples in the batch is a 3D tensor, the argument must also consider only that 3D tensor (i.e. excluding the batch axis).
Second, you can use -1 as the shape of only one axis. It tells to the Reshape layer to automatically infer the shape of that axis based on the shape of other axes you provide. So considering these two points, it would be:
reshaped_out = Reshape((-1, 40*64))(layer_out)
answered Nov 23 '18 at 12:44
todaytoday
10.8k21837
add a comment |
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1 Answer
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active
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
First of all, the argument you pass to Reshape layer is the desired shape of one sample in the batch and not the whole batch of samples. So since each of the samples in the batch is a 3D tensor, the argument must also consider only that 3D tensor (i.e. excluding the batch axis).
Second, you can use -1 as the shape of only one axis. It tells to the Reshape layer to automatically infer the shape of that axis based on the shape of other axes you provide. So considering these two points, it would be:
reshaped_out = Reshape((-1, 40*64))(layer_out)
answered Nov 23 '18 at 12:44
todaytoday
10.8k21837
add a comment |
First of all, the argument you pass to Reshape layer is the desired shape of one sample in the batch and not the whole batch of samples. So since each of the samples in the batch is a 3D tensor, the argument must also consider only that 3D tensor (i.e. excluding the batch axis).
Second, you can use -1 as the shape of only one axis. It tells to the Reshape layer to automatically infer the shape of that axis based on the shape of other axes you provide. So considering these two points, it would be:
reshaped_out = Reshape((-1, 40*64))(layer_out)
answered Nov 23 '18 at 12:44
todaytoday
10.8k21837
add a comment |
First of all, the argument you pass to Reshape layer is the desired shape of one sample in the batch and not the whole batch of samples. So since each of the samples in the batch is a 3D tensor, the argument must also consider only that 3D tensor (i.e. excluding the batch axis).
Second, you can use -1 as the shape of only one axis. It tells to the Reshape layer to automatically infer the shape of that axis based on the shape of other axes you provide. So considering these two points, it would be:
reshaped_out = Reshape((-1, 40*64))(layer_out)
answered Nov 23 '18 at 12:44
todaytoday
10.8k21837
First of all, the argument you pass to Reshape layer is the desired shape of one sample in the batch and not the whole batch of samples. So since each of the samples in the batch is a 3D tensor, the argument must also consider only that 3D tensor (i.e. excluding the batch axis).
Second, you can use -1 as the shape of only one axis. It tells to the Reshape layer to automatically infer the shape of that axis based on the shape of other axes you provide. So considering these two points, it would be:
reshaped_out = Reshape((-1, 40*64))(layer_out)
answered Nov 23 '18 at 12:44
todaytoday
10.8k21837
edited Nov 23 '18 at 12:50
answered Nov 23 '18 at 12:44
todaytoday
10.8k21837
answered Nov 23 '18 at 12:44
todaytoday
10.8k21837
answered Nov 23 '18 at 12:44
todaytoday
10.8k21837
10.8k21837
add a comment |
add a comment |
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If the answer resolved your issue, kindly accept it by clicking on the checkmark next to the answer to mark it as "answered" - see What should I do when someone answers my question?
– today
Nov 26 '18 at 15:58