How to stack (None,1024) tensor into (None,7,7,1024) tensor in keras?





.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box;
}







2















I have a tensor A of shape (None,1024) and I want to repeat it 49 times to make a matrix tensor of shape (None,7,7,1024). Every (,1024) vector is a copy of the tensor A.



How do I do this?



I tried



A = K.stack([A,A,A,A,A,A,A])

A = K.stack([A,A,A,A,A,A,A])


But this gives me a tensor of shape (7, 7, None, 1024)






python tensorflow keras tensor







share|improve this question





























    2















    I have a tensor A of shape (None,1024) and I want to repeat it 49 times to make a matrix tensor of shape (None,7,7,1024). Every (,1024) vector is a copy of the tensor A.



    How do I do this?



    I tried



    A = K.stack([A,A,A,A,A,A,A])
    
A = K.stack([A,A,A,A,A,A,A])


    But this gives me a tensor of shape (7, 7, None, 1024)






    python tensorflow keras tensor







    share|improve this question

























      2












      2








      2








      I have a tensor A of shape (None,1024) and I want to repeat it 49 times to make a matrix tensor of shape (None,7,7,1024). Every (,1024) vector is a copy of the tensor A.



      How do I do this?



      I tried



      A = K.stack([A,A,A,A,A,A,A])
      
A = K.stack([A,A,A,A,A,A,A])


      But this gives me a tensor of shape (7, 7, None, 1024)






      python tensorflow keras tensor







      share|improve this question














      I have a tensor A of shape (None,1024) and I want to repeat it 49 times to make a matrix tensor of shape (None,7,7,1024). Every (,1024) vector is a copy of the tensor A.



      How do I do this?



      I tried



      A = K.stack([A,A,A,A,A,A,A])
      
A = K.stack([A,A,A,A,A,A,A])


      But this gives me a tensor of shape (7, 7, None, 1024)






      python tensorflow keras tensor




      python tensorflow keras tensor






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 16 '18 at 12:24









      Nirvan AnjirbagNirvan Anjirbag

      3901418




      3901418
























          1 Answer
          1






          active

          oldest

          votes


















          2














          First use RepeatVector layer to repeat it for 49 times, then use Reshape layer to reshape it as desired:



          r_A = RepeatVector(49)(A)
          
rsh_A = Reshape((7, 7, -1))(r_A)


          Alternatively, you can define a function based on backend functions and wrap it inside a Lambda layer:



          from keras import backend as K
          

          
def rsh(x):
          
    y = K.repeat(x, 49)
          
    return K.reshape(y, (-1, 7, 7, K.int_shape(y)[-1]))
          

          
rsh_A = Lambda(rsh)(A)





          share|improve this answer


























            Your Answer






            StackExchange.ifUsing("editor", function () {
            StackExchange.using("externalEditor", function () {
            StackExchange.using("snippets", function () {
            StackExchange.snippets.init();
            });
            });
            }, "code-snippets");

            StackExchange.ready(function() {
            var channelOptions = {
            tags: "".split(" "),
            id: "1"
            };
            initTagRenderer("".split(" "), "".split(" "), channelOptions);

            StackExchange.using("externalEditor", function() {
            // Have to fire editor after snippets, if snippets enabled
            if (StackExchange.settings.snippets.snippetsEnabled) {
            StackExchange.using("snippets", function() {
            createEditor();
            });
            }
            else {
            createEditor();
            }
            });

            function createEditor() {
            StackExchange.prepareEditor({
            heartbeatType: 'answer',
            autoActivateHeartbeat: false,
            convertImagesToLinks: true,
            noModals: true,
            showLowRepImageUploadWarning: true,
            reputationToPostImages: 10,
            bindNavPrevention: true,
            postfix: "",
            imageUploader: {
            brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
            contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
            allowUrls: true
            },
            onDemand: true,
            discardSelector: ".discard-answer"
            ,immediatelyShowMarkdownHelp:true
            });


            }
            });














            draft saved

            draft discarded


















            StackExchange.ready(
            function () {
            StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53337880%2fhow-to-stack-none-1024-tensor-into-none-7-7-1024-tensor-in-keras%23new-answer', 'question_page');
            }
            );

            Post as a guest















            Required, but never shown

























            1 Answer
            1






            active

            oldest

            votes








            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            2














            First use RepeatVector layer to repeat it for 49 times, then use Reshape layer to reshape it as desired:



            r_A = RepeatVector(49)(A)
            
rsh_A = Reshape((7, 7, -1))(r_A)


            Alternatively, you can define a function based on backend functions and wrap it inside a Lambda layer:



            from keras import backend as K
            

            
def rsh(x):
            
    y = K.repeat(x, 49)
            
    return K.reshape(y, (-1, 7, 7, K.int_shape(y)[-1]))
            

            
rsh_A = Lambda(rsh)(A)





            share|improve this answer






























              2














              First use RepeatVector layer to repeat it for 49 times, then use Reshape layer to reshape it as desired:



              r_A = RepeatVector(49)(A)
              
rsh_A = Reshape((7, 7, -1))(r_A)


              Alternatively, you can define a function based on backend functions and wrap it inside a Lambda layer:



              from keras import backend as K
              

              
def rsh(x):
              
    y = K.repeat(x, 49)
              
    return K.reshape(y, (-1, 7, 7, K.int_shape(y)[-1]))
              

              
rsh_A = Lambda(rsh)(A)





              share|improve this answer




























                2












                2








                2







                First use RepeatVector layer to repeat it for 49 times, then use Reshape layer to reshape it as desired:



                r_A = RepeatVector(49)(A)
                
rsh_A = Reshape((7, 7, -1))(r_A)


                Alternatively, you can define a function based on backend functions and wrap it inside a Lambda layer:



                from keras import backend as K
                

                
def rsh(x):
                
    y = K.repeat(x, 49)
                
    return K.reshape(y, (-1, 7, 7, K.int_shape(y)[-1]))
                

                
rsh_A = Lambda(rsh)(A)





                share|improve this answer















                First use RepeatVector layer to repeat it for 49 times, then use Reshape layer to reshape it as desired:



                r_A = RepeatVector(49)(A)
                
rsh_A = Reshape((7, 7, -1))(r_A)


                Alternatively, you can define a function based on backend functions and wrap it inside a Lambda layer:



                from keras import backend as K
                

                
def rsh(x):
                
    y = K.repeat(x, 49)
                
    return K.reshape(y, (-1, 7, 7, K.int_shape(y)[-1]))
                

                
rsh_A = Lambda(rsh)(A)






                share|improve this answer














                share|improve this answer



                share|improve this answer








                edited Nov 16 '18 at 12:57

























                answered Nov 16 '18 at 12:39









                todaytoday

                11.7k22441




                11.7k22441
































                    draft saved

                    draft discarded




















































                    Thanks for contributing an answer to Stack Overflow!


                    • Please be sure to answer the question. Provide details and share your research!

                    But avoid …



                    • Asking for help, clarification, or responding to other answers.

                    • Making statements based on opinion; back them up with references or personal experience.


                    To learn more, see our tips on writing great answers.




                    draft saved


                    draft discarded














                    StackExchange.ready(
                    function () {
                    StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53337880%2fhow-to-stack-none-1024-tensor-into-none-7-7-1024-tensor-in-keras%23new-answer', 'question_page');
                    }
                    );

                    Post as a guest















                    Required, but never shown





















































                    Required, but never shown














                    Required, but never shown












                    Required, but never shown







                    Required, but never shown

































                    Required, but never shown














                    Required, but never shown












                    Required, but never shown







                    Required, but never shown







                    -

                    Popular posts from this blog

                    Florida Star v. B. J. F.

                    Image
                    Florida Star v. B. J. F. From Wikipedia, the free encyclopedia Jump to navigation Jump to search United States Supreme Court case Florida Star v. B. J. F. Supreme Court of the United States Argued March 21, 1989 Decided June 21, 1989 Full case name The Florida Star v. B. J. F. Citations 491 U.S. 524 ( more ) 109 S. Ct. 2603; 105 L. Ed. 2d 443; 1989 U.S. LEXIS 3120; 57 U.S.L.W. 4816; 16 Media L. Rep. 1801 Prior history The Florida Star v. B.J.F., 530 So.2d 286 (1988) Supreme Court of Florida; Florida Star v. B.J.F., 499 So.2d 883 (1986) Fla. Dist. Court of Appeals Holding Florida Stat. § 794.03 is unconstitutional to the extent it makes the truthful reporting of information that was a matter of public record unlawful, as it violates the First Amendment. Court membership Chief Justice William Rehnquist Associate Justices William J. Brennan Jr.  · Byron White Thurgood Marshall  · Harry Blac...
                    Read more

                    Danny Elfman

                    Image
                    Danny Elfman From Wikipedia, the free encyclopedia Jump to navigation Jump to search Danny Elfman Elfman at the 2010 San Diego Comic-Con Born Daniel Robert Elfman ( 1953-05-29 ) May 29, 1953 (age 65) Los Angeles, California, U.S. Spouse(s) Bridget Fonda ( m.  2003) Children 1 Musical career Genres Rock [1] ska [2] new wave film music video game music Occupation(s) Composer, singer, songwriter, record producer Instruments Trombone guitar percussion vocals keyboards [3] Years active 1972–present Associated acts Oingo Boingo James Newton Howard Daniel Robert Elfman (born May 29, 1953) is an American composer, singer, songwriter, and record producer. Elfman first became known for being the lead singer and songwriter for the band Oingo Boingo from 1974 to 1995. He is well known for scoring films and television shows, particularly his frequent collabora...
                    Read more

                    Lugert, Oklahoma

                    Image
                    Unincorporated community in Oklahoma, United States Lugert, Oklahoma Unincorporated community Foundations from the town of Lugert at the bottom of Lake Altus-Lugert Lugert, Oklahoma Location within the state of Oklahoma Coordinates: 34°53′45″N 99°16′31″W  /  34.89583°N 99.27528°W  / 34.89583; -99.27528 Coordinates: 34°53′45″N 99°16′31″W  /  34.89583°N 99.27528°W  / 34.89583; -99.27528 Country United States State Oklahoma County Kiowa Time zone UTC-6 (Central (CST))  • Summer (DST) UTC-5 (CDT) GNIS feature ID 1100597 Lugert is an unincorporated community in Kiowa County, Oklahoma. [1] The town of Lugert was founded in 1901 on 80 acres (320,000 m 2 ). In the town, there was a general store that housed the Post office and sold dry goods, school supplies, groceries, harnesses, axes and much more. It was named for Frank Lugert, who had moved to the area in 1898. Lugert owned land where the town was sited and also owned the general st...
                    Read more