Does Tensorflow optimize redundancy?
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Example: A TF graph splits into different branches leading to different output layers. After the split different operations are done and then similar ones.
Is it beneficial to concatenate the different branches after the different operations and to continue with a single operation, or can I treat the branches separately for the sake of simplicity without losing performance?
performance tensorflow redundancy
asked Nov 21 at 19:46
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up vote
0
down vote
favorite
Example: A TF graph splits into different branches leading to different output layers. After the split different operations are done and then similar ones.
Is it beneficial to concatenate the different branches after the different operations and to continue with a single operation, or can I treat the branches separately for the sake of simplicity without losing performance?
performance tensorflow redundancy
asked Nov 21 at 19:46
user10687698
1
New contributor
user10687698 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Example: A TF graph splits into different branches leading to different output layers. After the split different operations are done and then similar ones.
Is it beneficial to concatenate the different branches after the different operations and to continue with a single operation, or can I treat the branches separately for the sake of simplicity without losing performance?
performance tensorflow redundancy
asked Nov 21 at 19:46
user10687698
1
New contributor
user10687698 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Example: A TF graph splits into different branches leading to different output layers. After the split different operations are done and then similar ones.
Is it beneficial to concatenate the different branches after the different operations and to continue with a single operation, or can I treat the branches separately for the sake of simplicity without losing performance?
performance tensorflow redundancy
performance tensorflow redundancy
asked Nov 21 at 19:46
user10687698
1
New contributor
user10687698 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Nov 21 at 19:46
user10687698
1
New contributor
user10687698 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Nov 21 at 19:46
user10687698
1
New contributor
user10687698 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Nov 21 at 19:46
user10687698
1
asked Nov 21 at 19:46
user10687698
1
1
New contributor
user10687698 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
user10687698 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
user10687698 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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