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Revision tags: llvmorg-18.1.8, llvmorg-18.1.7, llvmorg-18.1.6, llvmorg-18.1.5, llvmorg-18.1.4, llvmorg-18.1.3, llvmorg-18.1.2, llvmorg-18.1.1, llvmorg-18.1.0, llvmorg-18.1.0-rc4, llvmorg-18.1.0-rc3, llvmorg-18.1.0-rc2, llvmorg-18.1.0-rc1, llvmorg-19-init, llvmorg-17.0.6, llvmorg-17.0.5, llvmorg-17.0.4, llvmorg-17.0.3, llvmorg-17.0.2, llvmorg-17.0.1, llvmorg-17.0.0, llvmorg-17.0.0-rc4, llvmorg-17.0.0-rc3, llvmorg-17.0.0-rc2, llvmorg-17.0.0-rc1, llvmorg-18-init, llvmorg-16.0.6, llvmorg-16.0.5, llvmorg-16.0.4 |
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b71edfaa |
| 15-May-2023 |
Tobias Hieta <tobias@hieta.se> |
[NFC][Py Reformat] Reformat python files in llvm
This is the first commit in a series that will reformat
all the python files in the LLVM repository.
Reformatting is done with `black`.
See more in
[NFC][Py Reformat] Reformat python files in llvm
This is the first commit in a series that will reformat
all the python files in the LLVM repository.
Reformatting is done with `black`.
See more information here:
https://discourse.llvm.org/t/rfc-document-and-standardize-python-code-style
Reviewed By: jhenderson, JDevlieghere, MatzeB
Differential Revision: https://reviews.llvm.org/D150545
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Revision tags: llvmorg-16.0.3, llvmorg-16.0.2, llvmorg-16.0.1, llvmorg-16.0.0, llvmorg-16.0.0-rc4, llvmorg-16.0.0-rc3, llvmorg-16.0.0-rc2, llvmorg-16.0.0-rc1, llvmorg-17-init, llvmorg-15.0.7, llvmorg-15.0.6, llvmorg-15.0.5, llvmorg-15.0.4, llvmorg-15.0.3, working, llvmorg-15.0.2, llvmorg-15.0.1, llvmorg-15.0.0, llvmorg-15.0.0-rc3 |
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| #
3486b1b7 |
| 11-Aug-2022 |
Mircea Trofin <mtrofin@google.com> |
[mlgo][nfc] regalloc test model generator: prep for TFLite
Casting operator to make TFLite happy.
Reviewed By: yundiqian
Differential Revision: https://reviews.llvm.org/D131584
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| #
3edd8978 |
| 09-Aug-2022 |
yundiqian <yundi@google.com> |
fix mlgo regalloc test model generation for tflite
To move from TF C API to TFLite, we found that the argmax op in TFLite does not work for int64 inputs, so cast the int64 inputs to int32 inputs to
fix mlgo regalloc test model generation for tflite
To move from TF C API to TFLite, we found that the argmax op in TFLite does not work for int64 inputs, so cast the int64 inputs to int32 inputs to make TFLite argmax op work
Differential Revision: https://reviews.llvm.org/D131462
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Revision tags: llvmorg-15.0.0-rc2, llvmorg-15.0.0-rc1, llvmorg-16-init |
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| #
f3939dc5 |
| 11-Jul-2022 |
Aiden Grossman <agrossman154@yahoo.com> |
[mlgo] Simplify autogenerated regalloc model
Currently the autogenerated regalloc model will sometimes
output an incorrect LR index to evict instead of the first LR
with with the mask set to 1. This
[mlgo] Simplify autogenerated regalloc model
Currently the autogenerated regalloc model will sometimes
output an incorrect LR index to evict instead of the first LR
with with the mask set to 1. This trips an assertion within
the MLRegallocAdvisor that the evicted LR has a mask of 1. This
patch, made possible by https://reviews.llvm.org/D124565, simplifies
the autogenerated model by taking away all unnecessary features and
getting rid of the functions that were previously to mix in all
the necessary inputs so they wouldn't get pruned by the Tensorflow
XLA AOT compiler. This is no longer necessary after the previously
mentioned patch. This also fixes the nondeterministic behavior
that is sometimes observed where the autogenerated model will
simply output 0 instead of the correct index.
Reviewed By: yundiqian
Differential Revision: https://reviews.llvm.org/D129254
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Revision tags: llvmorg-14.0.6, llvmorg-14.0.5, llvmorg-14.0.4, llvmorg-14.0.3, llvmorg-14.0.2, llvmorg-14.0.1, llvmorg-14.0.0, llvmorg-14.0.0-rc4, llvmorg-14.0.0-rc3, llvmorg-14.0.0-rc2, llvmorg-14.0.0-rc1, llvmorg-15-init, llvmorg-13.0.1, llvmorg-13.0.1-rc3, llvmorg-13.0.1-rc2 |
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| #
e67430cc |
| 22-Dec-2021 |
Mircea Trofin <mtrofin@google.com> |
[MLGO] ML Regalloc Eviction Advisor
The bulk of the implementation is common between 'release' mode (==AOT-ed
model) and 'development' mode (for training), the main difference is
that in development
[MLGO] ML Regalloc Eviction Advisor
The bulk of the implementation is common between 'release' mode (==AOT-ed
model) and 'development' mode (for training), the main difference is
that in development mode, we may also log features (for training logs),
inject scoring information (currently after the Virtual Register
Rewriter) and then produce the log file.
This patch also introduces the score injection pass, 'Register
Allocation Pass Scoring', which is trivially just logging the score in
development mode.
Differential Revision: https://reviews.llvm.org/D117147
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