How do I specify a “toolchain_identifier” when building tensorflow from source












1















I am building tensorflow from source in order to use the GPU version with an older card with a compute capability of 3.0.



When building, I get an error:



ERROR: /home/[user]/.cache/bazel/_bazel_[user]/35191c369325bea6db75133a187a58d6/external/local_config_cc/BUILD:57:1: in cc_toolchain rule @local_config_cc//:cc-compiler-k8: Error while selecting cc_toolchain: Toolchain identifier 'local' was not found, valid identifiers are [local_linux, local_darwin, local_windows]


I worked around this by hand editing ~/.cache/bazel/_bazel_[user]/35191c369325bea6db75133a187a58d6/external/local_config_cc/BUILD



to change the toolchain_identifier from "local" to "local_linux" under cc_toolchain.



With that change, everything compiles. But, that seems unconventional to me.



Is there something should be specifying elsewhere so that bazel gets the identifier correct on its own?










share|improve this question

























  • Did you file an error log at TensorFlow GitHub repo yet? If not, please do so. I encountered the same issue and your workaround saved me. My Arch Linux (also bazel 0.19) at home compiles without issues including cuda, but our workstation had this stupid toolchain_identifier error with bazel 0.19. Workstation runs Ubuntu with CUDA9.

    – daniel451
    Nov 15 '18 at 19:42
















1















I am building tensorflow from source in order to use the GPU version with an older card with a compute capability of 3.0.



When building, I get an error:



ERROR: /home/[user]/.cache/bazel/_bazel_[user]/35191c369325bea6db75133a187a58d6/external/local_config_cc/BUILD:57:1: in cc_toolchain rule @local_config_cc//:cc-compiler-k8: Error while selecting cc_toolchain: Toolchain identifier 'local' was not found, valid identifiers are [local_linux, local_darwin, local_windows]


I worked around this by hand editing ~/.cache/bazel/_bazel_[user]/35191c369325bea6db75133a187a58d6/external/local_config_cc/BUILD



to change the toolchain_identifier from "local" to "local_linux" under cc_toolchain.



With that change, everything compiles. But, that seems unconventional to me.



Is there something should be specifying elsewhere so that bazel gets the identifier correct on its own?










share|improve this question

























  • Did you file an error log at TensorFlow GitHub repo yet? If not, please do so. I encountered the same issue and your workaround saved me. My Arch Linux (also bazel 0.19) at home compiles without issues including cuda, but our workstation had this stupid toolchain_identifier error with bazel 0.19. Workstation runs Ubuntu with CUDA9.

    – daniel451
    Nov 15 '18 at 19:42














1












1








1








I am building tensorflow from source in order to use the GPU version with an older card with a compute capability of 3.0.



When building, I get an error:



ERROR: /home/[user]/.cache/bazel/_bazel_[user]/35191c369325bea6db75133a187a58d6/external/local_config_cc/BUILD:57:1: in cc_toolchain rule @local_config_cc//:cc-compiler-k8: Error while selecting cc_toolchain: Toolchain identifier 'local' was not found, valid identifiers are [local_linux, local_darwin, local_windows]


I worked around this by hand editing ~/.cache/bazel/_bazel_[user]/35191c369325bea6db75133a187a58d6/external/local_config_cc/BUILD



to change the toolchain_identifier from "local" to "local_linux" under cc_toolchain.



With that change, everything compiles. But, that seems unconventional to me.



Is there something should be specifying elsewhere so that bazel gets the identifier correct on its own?










share|improve this question
















I am building tensorflow from source in order to use the GPU version with an older card with a compute capability of 3.0.



When building, I get an error:



ERROR: /home/[user]/.cache/bazel/_bazel_[user]/35191c369325bea6db75133a187a58d6/external/local_config_cc/BUILD:57:1: in cc_toolchain rule @local_config_cc//:cc-compiler-k8: Error while selecting cc_toolchain: Toolchain identifier 'local' was not found, valid identifiers are [local_linux, local_darwin, local_windows]


I worked around this by hand editing ~/.cache/bazel/_bazel_[user]/35191c369325bea6db75133a187a58d6/external/local_config_cc/BUILD



to change the toolchain_identifier from "local" to "local_linux" under cc_toolchain.



With that change, everything compiles. But, that seems unconventional to me.



Is there something should be specifying elsewhere so that bazel gets the identifier correct on its own?







tensorflow bazel






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edited Nov 16 '18 at 20:45







JLC

















asked Nov 14 '18 at 1:54









JLCJLC

1699




1699













  • Did you file an error log at TensorFlow GitHub repo yet? If not, please do so. I encountered the same issue and your workaround saved me. My Arch Linux (also bazel 0.19) at home compiles without issues including cuda, but our workstation had this stupid toolchain_identifier error with bazel 0.19. Workstation runs Ubuntu with CUDA9.

    – daniel451
    Nov 15 '18 at 19:42



















  • Did you file an error log at TensorFlow GitHub repo yet? If not, please do so. I encountered the same issue and your workaround saved me. My Arch Linux (also bazel 0.19) at home compiles without issues including cuda, but our workstation had this stupid toolchain_identifier error with bazel 0.19. Workstation runs Ubuntu with CUDA9.

    – daniel451
    Nov 15 '18 at 19:42

















Did you file an error log at TensorFlow GitHub repo yet? If not, please do so. I encountered the same issue and your workaround saved me. My Arch Linux (also bazel 0.19) at home compiles without issues including cuda, but our workstation had this stupid toolchain_identifier error with bazel 0.19. Workstation runs Ubuntu with CUDA9.

– daniel451
Nov 15 '18 at 19:42





Did you file an error log at TensorFlow GitHub repo yet? If not, please do so. I encountered the same issue and your workaround saved me. My Arch Linux (also bazel 0.19) at home compiles without issues including cuda, but our workstation had this stupid toolchain_identifier error with bazel 0.19. Workstation runs Ubuntu with CUDA9.

– daniel451
Nov 15 '18 at 19:42












3 Answers
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Not sure this is related but ... I was having the same problem, tried a bunch of things that did not work, including alternating between clang and gcc, and then told configure I was using cudnn 7.2 instead of just 7 and it worked after that.






share|improve this answer
























  • Thanks! I entered the full point release version (7.3.0.29). I'll see what happens if I enter 7.3.

    – JLC
    Nov 15 '18 at 3:18



















0














open /home/[user]/.cache/bazel/_bazel_jeff/35191c369325bea6db75133a187a58d6/external/local_config_cc/BUILD with any text editor and change the line 57 as local_linux






share|improve this answer































    0














    I got the same error in building tensorflow r1.9 for one older Nvidia GPU card. I downgraded the bazel from 0.19.1 to 0.18.1. The error was fixed in compiling.






    share|improve this answer























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      3 Answers
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      3 Answers
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      0














      Not sure this is related but ... I was having the same problem, tried a bunch of things that did not work, including alternating between clang and gcc, and then told configure I was using cudnn 7.2 instead of just 7 and it worked after that.






      share|improve this answer
























      • Thanks! I entered the full point release version (7.3.0.29). I'll see what happens if I enter 7.3.

        – JLC
        Nov 15 '18 at 3:18
















      0














      Not sure this is related but ... I was having the same problem, tried a bunch of things that did not work, including alternating between clang and gcc, and then told configure I was using cudnn 7.2 instead of just 7 and it worked after that.






      share|improve this answer
























      • Thanks! I entered the full point release version (7.3.0.29). I'll see what happens if I enter 7.3.

        – JLC
        Nov 15 '18 at 3:18














      0












      0








      0







      Not sure this is related but ... I was having the same problem, tried a bunch of things that did not work, including alternating between clang and gcc, and then told configure I was using cudnn 7.2 instead of just 7 and it worked after that.






      share|improve this answer













      Not sure this is related but ... I was having the same problem, tried a bunch of things that did not work, including alternating between clang and gcc, and then told configure I was using cudnn 7.2 instead of just 7 and it worked after that.







      share|improve this answer












      share|improve this answer



      share|improve this answer










      answered Nov 14 '18 at 4:04









      JulioBarrosJulioBarros

      4112




      4112













      • Thanks! I entered the full point release version (7.3.0.29). I'll see what happens if I enter 7.3.

        – JLC
        Nov 15 '18 at 3:18



















      • Thanks! I entered the full point release version (7.3.0.29). I'll see what happens if I enter 7.3.

        – JLC
        Nov 15 '18 at 3:18

















      Thanks! I entered the full point release version (7.3.0.29). I'll see what happens if I enter 7.3.

      – JLC
      Nov 15 '18 at 3:18





      Thanks! I entered the full point release version (7.3.0.29). I'll see what happens if I enter 7.3.

      – JLC
      Nov 15 '18 at 3:18













      0














      open /home/[user]/.cache/bazel/_bazel_jeff/35191c369325bea6db75133a187a58d6/external/local_config_cc/BUILD with any text editor and change the line 57 as local_linux






      share|improve this answer




























        0














        open /home/[user]/.cache/bazel/_bazel_jeff/35191c369325bea6db75133a187a58d6/external/local_config_cc/BUILD with any text editor and change the line 57 as local_linux






        share|improve this answer


























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          0







          open /home/[user]/.cache/bazel/_bazel_jeff/35191c369325bea6db75133a187a58d6/external/local_config_cc/BUILD with any text editor and change the line 57 as local_linux






          share|improve this answer













          open /home/[user]/.cache/bazel/_bazel_jeff/35191c369325bea6db75133a187a58d6/external/local_config_cc/BUILD with any text editor and change the line 57 as local_linux







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 15 '18 at 22:54









          thecomplexitytheoristthecomplexitytheorist

          1062




          1062























              0














              I got the same error in building tensorflow r1.9 for one older Nvidia GPU card. I downgraded the bazel from 0.19.1 to 0.18.1. The error was fixed in compiling.






              share|improve this answer




























                0














                I got the same error in building tensorflow r1.9 for one older Nvidia GPU card. I downgraded the bazel from 0.19.1 to 0.18.1. The error was fixed in compiling.






                share|improve this answer


























                  0












                  0








                  0







                  I got the same error in building tensorflow r1.9 for one older Nvidia GPU card. I downgraded the bazel from 0.19.1 to 0.18.1. The error was fixed in compiling.






                  share|improve this answer













                  I got the same error in building tensorflow r1.9 for one older Nvidia GPU card. I downgraded the bazel from 0.19.1 to 0.18.1. The error was fixed in compiling.







                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Nov 16 '18 at 8:35









                  LaomaoLaomao

                  1




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