| Commit message (Collapse) | Author | Age |
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PiperOrigin-RevId: 214557082
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PiperOrigin-RevId: 210614909
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* Fixed the dependencies with `str(Label(...))` so that third_party codes that refer to
the tensorflow as a submodule get it properly resolved.
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Previously, specifying --define=using_mkl_dnn_only=true would cause
MKL-ML-dependent code to be #ifdef'd out, but dependencies on MKL-ML itself
would still be present. This change makes all library dependencies on MKL
properly select MKL-ML, MKL-DNN, or both, depending on the selected
configuration.
PiperOrigin-RevId: 208710102
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* Fix MKL build on MacOS
* Fix invalid return type, user_memory_->set_data_handle(buf) returns void.
* Fix type mismatch
* Implement downloading and linking of MKL repo on mac and windows
* Rework the way MKL libs are binded to avoid warnings and simplify code
* Switch to matching version of MKL-DNN
* Add mirror links
* Add renamed license file
* Add -fopenmp flag for linux mkl build as Slice op kernel is optimized using OpenMP
* Use clean_dep in the entire file for consistency
* Fix build. Constants are declrared as static in header outside the class scope now
* Reworked fix for `-openmp` flag using the suggestion from @gunan
Original version here https://github.com/gunan/tensorflow/commit/b4d39c5226e8bbafe084b1dfc35f4644f2d906c2
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PiperOrigin-RevId: 177526301
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PiperOrigin-RevId: 177230105
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Setting TF_MKL_ROOT environment variable (together with "--config=mkl")
before build will enforce using a local copy of MKL during build.
PiperOrigin-RevId: 162787130
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Change: 147897309
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Change: 147051664
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