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FRidh
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It's a bit messy with the urls and hashes, but looking at the available wheels it doesn't look like it can be done much prettier either.
While I haven't tested the PR it looks good.
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FRidh
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Having looked at it again I think the names of the packages should be different.
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Is this with generic GPU support, or specifically Cuda? If I am correct it is Cuda only, and therefore the name should reflect that: tensorflowWithoutCuda and tensorflowWithCuda
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As of now, TensorFlow does not support OpenCL. However, if we were to introduce theanoWithGpu and theanoWithoutGpu, I would suggest to use a similar naming here (for sake of consistency). What do you think?
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I updated the package as per your suggestion. |
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isV2_6 = protobuf.version == "2.6.0";?
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Thanks! I renamed the variables to make it clearer. |
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I tested the PR on darwin, and it works great with python 3.5 👍 |
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Does it work when you change the |
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No, doing so has no observable effect.
…On Thu, Dec 1, 2016 at 10:32 PM, Tim Nieradzik ***@***.***> wrote:
Does it work when you change the six dependency back to google_apputils?
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To be sure: I'd love this PR to be merged, even in its present state, because I prefer "only python 3.5" to "only python 2.7". |
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@tindzk you update two separate functions, so we need two commits. The version increments are also different for each. We typically also include only releases, not RC's. @jyp it was originally added for 2.7 so we won't break that. @teh @anderspapitto you've updated tensorflow is in the past. Comments? Finally, these two packages need a maintainer. |
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@FRidh The previous version of the CUDA package was also a release candidate which lead me believe that RCs are fine. Should we wait until the final version has been released? Which two functions do you refer to? I agree that Python 2.7 support would be desirable. @jyp It seems to me that |
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Nice cleanup change, lgtm from me. |
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@tindzk For some reason it the .so file contains a script: |
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@tindzk Is there anything I can do to help the PR moving forward? |
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@jyp From my understanding, PatchELF was applied to the |
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So do we need to wait for NixOS/patchelf#108 to be fixed? Or should we attempt a workaround? |
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I'd prefer to avoid workarounds and get the issue fixed in patchelf instead as it will benefit all packages with symbolic links. |
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No, patchelf leaves ELF files as ELF files; it doesn't change them to a script. |
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Perhaps not the right place to ask but anyway: Would it be possible to compile Tensorflow from source instead of installing binary wheel? I tried it but the bazel build system seems to make it very difficult because it does a bit what Nix should do (handles and installs dependencies). But any insight whether it would be possible and how? |
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@jluttine https://github.com/nixos/nixpkgs/blob/f0373f4ceea40405491d1316529b91171744dcb3/pkgs/top-level/python-packages.nix#L30928 probably the best way forward on that is to see how debian/other big distros deal with bazel |
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@jluttine - I'd vastly prefer a build from source as well, but: I spent 6+ hours trying to get bazel to work for tensorflow with not much to show. I have wrangled some really byzantine build systems but bazel exceeds my frustration tolerance. I will cheer the brave soul that accomplishes this. |
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If patchelf is not the culprit, I do not know what causes the problem. Perhaps we could get a lead developer involved in the conversation? Apparently, TensorFlow isn't the only package that is affected as @quanah describes the same bug in NixOS/patchelf#108. |
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As an aside, I think large, non-trivial packages like TensorFlow should really be separate Nix expressions rather than being in |
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@FRidh perhaps a way to move forward is to push the cudnn version, which never worked with macos before. Would that be acceptable? |
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see also #22061 regarding protobuf and python3. Your version check is a bit more elegant, but my pull requests enables also tests. A combination would be good. I would also move the build expressions into an external file for both protobuf and tensorflow. |
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Currently tensorflow doesn't work on any platform due to a broken protobuf dependency - I'm +1 on merging this after the updates in #22061 to make at least Linux work again. Edit: Also +1 on moving this to its own directory under |
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Is anyone interested in taking over the maintenance of the TensorFlow package? I am currently not using Nix, so I do not want to prevent this from being merged. We would have to re-base this pull request and adapt it to the latest TensorFlow version (0.12.1). |
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As it were, I've done the update to 0.12.1 and used this version of tensorflow/cuda sucessfully. I'll be using tensorflow in nix for my research group in the foreseeable future. Thus I can try to take it over, but I am a relative beginner in nix. |
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@jyp - Im a nix cuda-tensorflow user as well. Happy to review and / or help. Let me know what I can do. |
Motivation for this change
Update to latest TensorFlow version and support Python 3.
Things done
(nix.useSandbox on NixOS,
or option
build-use-sandboxinnix.confon non-NixOS)
nix-shell -p nox --run "nox-review wip"./result/bin/)