Value Error

[Abhishek1236]

ValueError: Layer model_19 expects 2 input(s), but it received 3 input tensors. Inputs received: [<tf.Tensor 'IteratorGetNext:0' shape=(None, None) dtype=float32>, <tf.Tensor 'IteratorGetNext:1' shape=(None, None) dtype=int32>, <tf.Tensor 'IteratorGetNext:2' shape=(None, None) dtype=float32>]
Getting this when trying to run the model

[Gujar-Shubham]

Hey was the error solved? I am facing same error, Can u help?

[Abhishek1236]

Sure send me screenshot

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On Thu, 18 Mar, 2021, 9:17 pm Shubham arun gujar, ***@***.***> wrote: Hey was the error solved? I am facing same error, Can u help? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#10 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AGB5VCABROADOWWDJ554XL3TEIN7TANCNFSM4ZKHBZRA> .

[Gujar-Shubham]

Got the same error u were facing

[Abhishek1236]

show me the ss of the generator function

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On Thu, 18 Mar 2021 at 21:42, Shubham arun gujar ***@***.***> wrote: [image: image] <https://user-images.githubusercontent.com/42720425/111658858-c03e9000-8832-11eb-9095-d4d234d67cad.png> Got the same error u were facing — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#10 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AGB5VCCWMTD6EEHAMQGJN43TEIRAPANCNFSM4ZKHBZRA> .

[Abhishek1236]

# data generator, intended to be used in a call to model.fit_generator()def data_generator(descriptions, photos, wordtoix, max_length, num_photos_per_batch): X1, X2, y = list(), list(), list() n=0 # loop for ever over images while 1: for key, desc_list in descriptions.items(): n+=1 # retrieve the photo feature photo = photos[key + '.jpg'] for desc in desc_list: # encode the sequence seq = [wordtoix[word] for word in desc.split(' ') if word in wordtoix] # split one sequence into multiple X, y pairs for i in range(1, len(seq)): # split into input and output pair in_seq, out_seq = seq[:i], seq[i] # pad input sequence in_seq = pad_sequences([in_seq], maxlen=max_length)[0] # encode output sequence out_seq = to_categorical([out_seq], num_classes=vocab_size)[0] # store X1.append(photo) X2.append(in_seq) y.append(out_seq) # yield the batch data if n==num_photos_per_batch: yield ([array(X1), array(X2)], array(y)) X1, X2, y = list(), list(), list() n=0 On Thu, 18 Mar 2021 at 22:47, Abhishek Ravi ***@***.***> wrote:

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show me the ss of the generator function On Thu, 18 Mar 2021 at 21:42, Shubham arun gujar ***@***.***> wrote: > [image: image] > <https://user-images.githubusercontent.com/42720425/111658858-c03e9000-8832-11eb-9095-d4d234d67cad.png> > > Got the same error u were facing > > — > You are receiving this because you authored the thread. > Reply to this email directly, view it on GitHub > <#10 (comment)>, > or unsubscribe > <https://github.com/notifications/unsubscribe-auth/AGB5VCCWMTD6EEHAMQGJN43TEIRAPANCNFSM4ZKHBZRA> > . >

[Abhishek1236]

hope it will work On Thu, 18 Mar 2021 at 22:49, Abhishek Ravi ***@***.***> wrote:

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# data generator, intended to be used in a call to model.fit_generator()def data_generator(descriptions, photos, wordtoix, max_length, num_photos_per_batch): X1, X2, y = list(), list(), list() n=0 # loop for ever over images while 1: for key, desc_list in descriptions.items(): n+=1 # retrieve the photo feature photo = photos[key + '.jpg'] for desc in desc_list: # encode the sequence seq = [wordtoix[word] for word in desc.split(' ') if word in wordtoix] # split one sequence into multiple X, y pairs for i in range(1, len(seq)): # split into input and output pair in_seq, out_seq = seq[:i], seq[i] # pad input sequence in_seq = pad_sequences([in_seq], maxlen=max_length)[0] # encode output sequence out_seq = to_categorical([out_seq], num_classes=vocab_size)[0] # store X1.append(photo) X2.append(in_seq) y.append(out_seq) # yield the batch data if n==num_photos_per_batch: yield ([array(X1), array(X2)], array(y)) X1, X2, y = list(), list(), list() n=0 On Thu, 18 Mar 2021 at 22:47, Abhishek Ravi ***@***.***> wrote: > show me the ss of the generator function > > > On Thu, 18 Mar 2021 at 21:42, Shubham arun gujar < > ***@***.***> wrote: > >> [image: image] >> <https://user-images.githubusercontent.com/42720425/111658858-c03e9000-8832-11eb-9095-d4d234d67cad.png> >> >> Got the same error u were facing >> >> — >> You are receiving this because you authored the thread. >> Reply to this email directly, view it on GitHub >> <#10 (comment)>, >> or unsubscribe >> <https://github.com/notifications/unsubscribe-auth/AGB5VCCWMTD6EEHAMQGJN43TEIRAPANCNFSM4ZKHBZRA> >> . >> >

[pakshal-25]

hope it will work On Thu, 18 Mar 2021 at 22:49, Abhishek Ravi @.***> wrote:
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data generator, intended to be used in a call to model.fit_generator()def data_generator(descriptions, photos, wordtoix, max_length, num_photos_per_batch): X1, X2, y = list(), list(), list() n=0 # loop for ever over images while 1: for key, desc_list in descriptions.items(): n+=1 # retrieve the photo feature photo = photos[key + '.jpg'] for desc in desc_list: # encode the sequence seq = [wordtoix[word] for word in desc.split(' ') if word in wordtoix] # split one sequence into multiple X, y pairs for i in range(1, len(seq)): # split into input and output pair in_seq, out_seq = seq[:i], seq[i] # pad input sequence in_seq = pad_sequences([in_seq], maxlen=max_length)[0] # encode output sequence out_seq = to_categorical([out_seq], num_classes=vocab_size)[0] # store X1.append(photo) X2.append(in_seq) y.append(out_seq) # yield the batch data if n==num_photos_per_batch: yield ([array(X1), array(X2)], array(y)) X1, X2, y = list(), list(), list() n=0 On Thu, 18 Mar 2021 at 22:47, Abhishek Ravi @.> wrote: > show me the ss of the generator function > > > On Thu, 18 Mar 2021 at 21:42, Shubham arun gujar < > @.> wrote: > >> [image: image] >> https://user-images.githubusercontent.com/42720425/111658858-c03e9000-8832-11eb-9095-d4d234d67cad.png >> >> Got the same error u were facing >> >> — >> You are receiving this because you authored the thread. >> Reply to this email directly, view it on GitHub >> <#10 (comment)>, >> or unsubscribe >> https://github.com/notifications/unsubscribe-auth/AGB5VCCWMTD6EEHAMQGJN43TEIRAPANCNFSM4ZKHBZRA >> . >> >

[pakshal-25]

Sir I m receiving same error can you resolve it.?

[Gujar-Shubham]

Solved using tensorflow version 1.15 in google colab

[Abhishek1236]

hey , follow this link https://github.com/Abhishek1236/Image-caption/blob/main/visual-captioning-baseline.ipynb

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On Fri, 19 Mar 2021 at 23:50, pakshal-25 ***@***.***> wrote: Sir I m receiving same error can you resolve it.? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#10 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AGB5VCBIQ5HMZYKV5CQG6ELTEOIX3ANCNFSM4ZKHBZRA> .

[pakshal-25]

Sir can we change the tensorflow version in google colab beacuse currently it use tensorflow 2.0

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On Fri, Mar 19, 2021, 11:53 PM Shubham arun gujar ***@***.***> wrote: Solved using tensorflow version 1.15 in google colab — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#10 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AQHU2V2BN6KKRN5EONFZNATTEOJAZANCNFSM4ZKHBZRA> .

[Abhishek1236]

Sure

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On Sat, 20 Mar, 2021, 12:15 am pakshal-25, ***@***.***> wrote: Sir can we change the tensorflow version in google colab beacuse currently it use tensorflow 2.0 On Fri, Mar 19, 2021, 11:53 PM Shubham arun gujar ***@***.***> wrote: > Solved using tensorflow version 1.15 in google colab > > — > You are receiving this because you commented. > Reply to this email directly, view it on GitHub > < #10 (comment) >, > or unsubscribe > < https://github.com/notifications/unsubscribe-auth/AQHU2V2BN6KKRN5EONFZNATTEOJAZANCNFSM4ZKHBZRA > > . > — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#10 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AGB5VCFFIELGSTLWGLUGO4DTEOLUHANCNFSM4ZKHBZRA> .

[Gujar-Shubham]

Sir can we change the tensorflow version in google colab beacuse currently it use tensorflow 2.0
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On Fri, Mar 19, 2021, 11:53 PM Shubham arun gujar @.***> wrote: Solved using tensorflow version 1.15 in google colab — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#10 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AQHU2V2BN6KKRN5EONFZNATTEOJAZANCNFSM4ZKHBZRA .

yes you can do that but you would need to run again

%tensorflow_version 1.x

[Abdul-Rahman-J]

Solved using tensorflow version 1.15 in google colab

Bro I get the same error after changing tensorflow version to 1.15
hav u changed anything in the code if so can u send me the link of ur code
thanks in advance

[Abhishek1236]

Try to run it using tf2 I had shared the notebook with you please follow

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On Sun, 21 Mar, 2021, 9:46 pm Abdul-Rahman-J, ***@***.***> wrote: Solved using tensorflow version 1.15 in google colab Bro I get the same error after changing tensorflow version to 1.15 hav u changed anything in the code if so can u send me the link of ur code thanks in advance — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#10 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AGB5VCGXABBGGZ57DUITWX3TEYLUNANCNFSM4ZKHBZRA> .