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Hi all, The TensorFlow team at Google has been leading the charge to build a new set of compiler infrastructure, known as the MLIR project <https://github.com/tensorflow/mlir>. The initial focus has been on machine learning infrastructure, high performance accelerators, heterogeneous compute, and HPC-style computa...

...s more importantly, as Hal states clearly, is the need for > > an official specification, similar to the one for LLVM IR, as well as > > a formal document with the expected semantics into LLVM IR. Sooner, > > indeed. > > +1. There are all kinds of scattered documents on the TensorFlow site > talking about MLIR, the affine dialect, etc. but nothing of the quality > and approachability of LLVM's language reference. I find it difficult > to pull all the pieces together. > One of the main reason we haven't invested in a proper website and documentation was in a...

...coner, Introducción a la genética cuantitativa, que tiene escrita la parte matemática, hay un abismo entre la biología y los ingenieros que se inspiran en la biología. Yo pensaba en la resolución de un problema real, aunque relativamente simple como puede ser el de mínimos costos, donde se utilice tensorflow, en otras palabras, R tiene paquetes para la optimización, entonces me hago una pregunta, ¿que pasa si tomo uno de esos ejemplos y lo corro con la librería R del paquete y con Keras como documenta Rstudio utilizando tensorflow? Los ejemplos son de reconocimiento de imágenes, regresión, clasificació...

Hi All, I didn't have much success through my Google search in finding any active R-related projects to create a wrapper around TensorFlow in R. Anyone know if this is on the go? Thanks, Axel. [[alternative HTML version deleted]]

Hi All, I didn't have much success through my Google search in finding any active R-related projects to create a wrapper around TensorFlow in R. Anyone know if this is on the go? Thanks, Axel. [[alternative HTML version deleted]]

Overall, I think it will be a good move. Maintenance wise, I'm expecting the existing community to move into LLVM (if not all in already), so I don't foresee any additional costs. Though, Hal's points are spot on... On Mon, 9 Sep 2019 at 18:47, Finkel, Hal J. via llvm-dev <llvm-dev at lists.llvm.org> wrote: > 3. As a specific example of the above, the current development

...f to concrete semantic > >> descriptions, though I would expect the affine dialect (and others) to > >> have documentation on par with the LLVM IR. > > > > > > Just last week I had to scout through the affine dialect "LangRef > > <https://github.com/tensorflow/mlir/blob/master/g3doc/Dialects/Affine.md > >" > > for something, and I also felt that it is due for a refresh! It seemed a > > bit more than just BNF though, do you have example of what you would like > > to see expanded there? > > I was referring to the base MLI...

Estimados. Hace un tiempo que tengo una duda, estaba pensando en los problemas como optimización de costos, donde hay varias alternativas y librerías, pasando por soluciones inspiradas en energía, genética o algo matemático como matrices y álgebra. Luego aparecen tensorflow, cntk, y otros tantos, de los cuáles https://keras.rstudio.com/ ofrece alternativas para mezclar los mundos por decirlo de alguna forma. De estos si miro https://keras.rstudio.com/ observo en la documentación lo que aparece siempre, la optimización. En este caso sería lo siguiente: model %>% c...

...l question is what underlying commands are necessary to >> build all the source files (without actually compiling the C/C++)? If I can >> understand how to do this manually with terminal/cmake/tblgen, then I could >> probably get it to work with Bazel. >> >> Looking at TensorFlow's setup >> <https://github.com/tensorflow/tensorflow/blob/efddd17519e43e956c3fa79981c408803521fe61/third_party/llvm/llvm.autogenerated.BUILD#L195>, >> it looks like tblgen has dependencies on support which goes down to zlib >> and gets a lot of complexity there. I get th...

...n (thanks for pointing that out), but it runs into the same "No such file or directory: *.inc". I don't see those files built anywhere in that list. Does it take tblgen into account? Doug On Thu, Aug 16, 2018, 1:02 PM Sanjoy Das <sanjoy at playingwithpointers.com> wrote: > TensorFlow uses bazel to build LLVM: > https://github.com/tensorflow/tensorflow/tree/master/third_party/llvm > The script that generates llvm.autogenerated.BUILD is not open sourced > yet unfortunately but looking skimming through the generated file > should give you a rough idea of what's inv...

On Mon, 9 Sep 2019 at 22:22, Chris Lattner <clattner at google.com> wrote: > Including a bunch of content, eg a full langref doc: > https://github.com/tensorflow/mlir/blob/master/g3doc/LangRef.md Thanks Chris, that looks awesome! This one could perhaps be improved with time: https://github.com/tensorflow/mlir/blob/master/g3doc/ConversionToLLVMDialect.md Which I think was Hal's point. If we had a front-end already using it in tree, we could be a bit m...

Hi folks, Git is on its way to learning how to ignore commits, allowing us to do variable renaming and other small refactorings without breaking git blame. It's like git-hyper-blame [1] but significantly more powerful as it uses fuzzy matching to match lines, including lines that may have been split or joined. A preview release of Git with this new feature is at:

...dev < llvm-dev at lists.llvm.org> wrote: > Hi Michael, > > I’m still very interested in seeing a change here. If someone is > interested in seeing a codebase using the proposed camelBack convention for > variables names, the MLIR codebase is public > <https://github.com/tensorflow/mlir> and uses it. > > If you’re curious to see what this looks like in practice, there are lots > of examples in the codebase, here is an example .cpp file > <https://github.com/tensorflow/mlir/blob/master/lib/Transforms/LoopUnrollAndJam.cpp> > , here is another > <ht...

...ack this together on my end. I guess my real question is what underlying commands are necessary to build all the source files (without actually compiling the C/C++)? If I can understand how to do this manually with terminal/cmake/tblgen, then I could probably get it to work with Bazel. Looking at TensorFlow's setup <https://github.com/tensorflow/tensorflow/blob/efddd17519e43e956c3fa79981c408803521fe61/third_party/llvm/llvm.autogenerated.BUILD#L195>, it looks like tblgen has dependencies on support which goes down to zlib and gets a lot of complexity there. I get the impression that tblgen is...

...). We discuss ‘rel’ mode here, and ‘dev’ mode in the Appendix, as it is more involved. Inference Opt-In Mechanism The feature is primarily controlled by the cmake flag LLVM_USE_ML_POLICY={“Rel”|”Dev”}. Each has different dependencies. The “Rel”ease case requires specifying the location of the pip tensorflow package (currently, that’s tf_nightly, and it should soon be available in tensorflow) To opt in the ‘Rel’ case: 1. install tensorflow pip package pip3 install tf_nightly --user 1. configure llvm build cmake ../llvm -DLLVM_USE_ML_POLICY=Rel \ -DLLVM_TF_AOT_RUNTIME=~/.local/lib/py...

...is > more > > involved. > > Inference Opt-In Mechanism > > > > The feature is primarily controlled by the cmake flag > > LLVM_USE_ML_POLICY={“Rel”|”Dev”}. Each has different dependencies. The > > “Rel”ease case requires specifying the location of the pip tensorflow > > package (currently, that’s tf_nightly, and it should soon be available > in > > tensorflow) > > > > To opt in the ‘Rel’ case: > > > > 1. > > > > install tensorflow pip package > > > > pip3 install tf_nightly --user &...

...t;> > Inference Opt-In Mechanism >>> > >>> > The feature is primarily controlled by the cmake flag >>> > LLVM_USE_ML_POLICY={“Rel”|”Dev”}. Each has different dependencies. The >>> > “Rel”ease case requires specifying the location of the pip tensorflow >>> > package (currently, that’s tf_nightly, and it should soon be >>> available in >>> > tensorflow) >>> > >>> > To opt in the ‘Rel’ case: >>> > >>> > 1. >>> > >>> > install tenso...

+ MLIR dev mailing list since that’s where the OrcJit I’m using is. Thanks for all the details, Lang! What you described is exactly what I’m looking for! Please, MLIR dev, let me know if this debug feature and the solution that Lang describes below is interesting for MLIR. I’ll dig more into the details then but it doesn’t seem too complicated. Thanks, Diego From: Lang Hames [mailto:lhames at

Buenas Alguien sabe como se hacen las predicciones de las series temporslea usando keras? Baaado en esto: https://tensorflow.rstudio.com/blog/time-series-forecasting-with-recurrent-neural-networks.html He intentado hacer un predict_generator(test_data) pero siempre me devuelve el error de que el array no coincid con las dimensiones Gracias!! Obtener Outlook para Android<https://aka.ms/ghei36> [[alternative HT...

...dev at lists.llvm.org> wrote: > > Hi Michael, > > > > I’m still very interested in seeing a change here. If someone is > interested in seeing a codebase using the proposed camelBack convention for > variables names, the MLIR codebase is public > <https://github.com/tensorflow/mlir> and uses it. > > > > If you’re curious to see what this looks like in practice, there are lots > of examples in the codebase, here is an example .cpp file > <https://github.com/tensorflow/mlir/blob/master/lib/Transforms/LoopUnrollAndJam.cpp> > , here is another &...