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Revision tags: llvmorg-20.1.0, llvmorg-20.1.0-rc3, llvmorg-20.1.0-rc2, llvmorg-20.1.0-rc1, llvmorg-21-init, llvmorg-19.1.7, llvmorg-19.1.6, llvmorg-19.1.5, llvmorg-19.1.4, llvmorg-19.1.3, llvmorg-19.1.2, llvmorg-19.1.1, llvmorg-19.1.0, llvmorg-19.1.0-rc4, llvmorg-19.1.0-rc3, llvmorg-19.1.0-rc2, llvmorg-19.1.0-rc1, llvmorg-20-init, 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, 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, llvmorg-15.0.2, llvmorg-15.0.1, llvmorg-15.0.0, llvmorg-15.0.0-rc3, llvmorg-15.0.0-rc2, llvmorg-15.0.0-rc1, llvmorg-16-init, 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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e5639b3f |
| 22-Dec-2021 |
Mehdi Amini <[email protected]> |
Fix more clang-tidy cleanups in mlir/ (NFC)
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Revision tags: llvmorg-13.0.1-rc1, llvmorg-13.0.0, llvmorg-13.0.0-rc4, llvmorg-13.0.0-rc3, llvmorg-13.0.0-rc2, llvmorg-13.0.0-rc1, llvmorg-14-init, llvmorg-12.0.1, llvmorg-12.0.1-rc4, llvmorg-12.0.1-rc3, llvmorg-12.0.1-rc2, llvmorg-12.0.1-rc1, llvmorg-12.0.0, llvmorg-12.0.0-rc5, llvmorg-12.0.0-rc4, llvmorg-12.0.0-rc3, llvmorg-12.0.0-rc2, llvmorg-11.1.0, llvmorg-11.1.0-rc3, llvmorg-12.0.0-rc1, llvmorg-13-init, llvmorg-11.1.0-rc2, llvmorg-11.1.0-rc1, llvmorg-11.0.1, llvmorg-11.0.1-rc2, llvmorg-11.0.1-rc1, llvmorg-11.0.0, llvmorg-11.0.0-rc6, llvmorg-11.0.0-rc5, llvmorg-11.0.0-rc4, llvmorg-11.0.0-rc3, llvmorg-11.0.0-rc2 |
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f9dc2b70 |
| 18-Aug-2020 |
Mehdi Amini <[email protected]> |
Separate the Registration from Loading dialects in the Context
This changes the behavior of constructing MLIRContext to no longer load globally registered dialects on construction. Instead Dialects
Separate the Registration from Loading dialects in the Context
This changes the behavior of constructing MLIRContext to no longer load globally registered dialects on construction. Instead Dialects are only loaded explicitly on demand: - the Parser is lazily loading Dialects in the context as it encounters them during parsing. This is the only purpose for registering dialects and not load them in the context. - Passes are expected to declare the dialects they will create entity from (Operations, Attributes, or Types), and the PassManager is loading Dialects into the Context when starting a pipeline.
This changes simplifies the configuration of the registration: a compiler only need to load the dialect for the IR it will emit, and the optimizer is self-contained and load the required Dialects. For example in the Toy tutorial, the compiler only needs to load the Toy dialect in the Context, all the others (linalg, affine, std, LLVM, ...) are automatically loaded depending on the optimization pipeline enabled.
To adjust to this change, stop using the existing dialect registration: the global registry will be removed soon.
1) For passes, you need to override the method:
virtual void getDependentDialects(DialectRegistry ®istry) const {}
and registery on the provided registry any dialect that this pass can produce. Passes defined in TableGen can provide this list in the dependentDialects list field.
2) For dialects, on construction you can register dependent dialects using the provided MLIRContext: `context.getOrLoadDialect<DialectName>()` This is useful if a dialect may canonicalize or have interfaces involving another dialect.
3) For loading IR, dialect that can be in the input file must be explicitly registered with the context. `MlirOptMain()` is taking an explicit registry for this purpose. See how the standalone-opt.cpp example is setup:
mlir::DialectRegistry registry; registry.insert<mlir::standalone::StandaloneDialect>(); registry.insert<mlir::StandardOpsDialect>();
Only operations from these two dialects can be in the input file. To include all of the dialects in MLIR Core, you can populate the registry this way:
mlir::registerAllDialects(registry);
4) For `mlir-translate` callback, as well as frontend, Dialects can be loaded in the context before emitting the IR: context.getOrLoadDialect<ToyDialect>()
Differential Revision: https://reviews.llvm.org/D85622
show more ...
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e75bc5c7 |
| 19-Aug-2020 |
Mehdi Amini <[email protected]> |
Revert "Separate the Registration from Loading dialects in the Context"
This reverts commit d14cf45735b0d09d7d3caf0824779520dd20ef10. The build is broken with GCC-5.
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d14cf457 |
| 18-Aug-2020 |
Mehdi Amini <[email protected]> |
Separate the Registration from Loading dialects in the Context
This changes the behavior of constructing MLIRContext to no longer load globally registered dialects on construction. Instead Dialects
Separate the Registration from Loading dialects in the Context
This changes the behavior of constructing MLIRContext to no longer load globally registered dialects on construction. Instead Dialects are only loaded explicitly on demand: - the Parser is lazily loading Dialects in the context as it encounters them during parsing. This is the only purpose for registering dialects and not load them in the context. - Passes are expected to declare the dialects they will create entity from (Operations, Attributes, or Types), and the PassManager is loading Dialects into the Context when starting a pipeline.
This changes simplifies the configuration of the registration: a compiler only need to load the dialect for the IR it will emit, and the optimizer is self-contained and load the required Dialects. For example in the Toy tutorial, the compiler only needs to load the Toy dialect in the Context, all the others (linalg, affine, std, LLVM, ...) are automatically loaded depending on the optimization pipeline enabled.
To adjust to this change, stop using the existing dialect registration: the global registry will be removed soon.
1) For passes, you need to override the method:
virtual void getDependentDialects(DialectRegistry ®istry) const {}
and registery on the provided registry any dialect that this pass can produce. Passes defined in TableGen can provide this list in the dependentDialects list field.
2) For dialects, on construction you can register dependent dialects using the provided MLIRContext: `context.getOrLoadDialect<DialectName>()` This is useful if a dialect may canonicalize or have interfaces involving another dialect.
3) For loading IR, dialect that can be in the input file must be explicitly registered with the context. `MlirOptMain()` is taking an explicit registry for this purpose. See how the standalone-opt.cpp example is setup:
mlir::DialectRegistry registry; registry.insert<mlir::standalone::StandaloneDialect>(); registry.insert<mlir::StandardOpsDialect>();
Only operations from these two dialects can be in the input file. To include all of the dialects in MLIR Core, you can populate the registry this way:
mlir::registerAllDialects(registry);
4) For `mlir-translate` callback, as well as frontend, Dialects can be loaded in the context before emitting the IR: context.getOrLoadDialect<ToyDialect>()
Differential Revision: https://reviews.llvm.org/D85622
show more ...
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d84fe55e |
| 18-Aug-2020 |
Mehdi Amini <[email protected]> |
Revert "Separate the Registration from Loading dialects in the Context"
This reverts commit e1de2b75501e5eaf8777bd5248382a7c55a44fd6. Broke a build bot.
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e1de2b75 |
| 18-Aug-2020 |
Mehdi Amini <[email protected]> |
Separate the Registration from Loading dialects in the Context
This changes the behavior of constructing MLIRContext to no longer load globally registered dialects on construction. Instead Dialects
Separate the Registration from Loading dialects in the Context
This changes the behavior of constructing MLIRContext to no longer load globally registered dialects on construction. Instead Dialects are only loaded explicitly on demand: - the Parser is lazily loading Dialects in the context as it encounters them during parsing. This is the only purpose for registering dialects and not load them in the context. - Passes are expected to declare the dialects they will create entity from (Operations, Attributes, or Types), and the PassManager is loading Dialects into the Context when starting a pipeline.
This changes simplifies the configuration of the registration: a compiler only need to load the dialect for the IR it will emit, and the optimizer is self-contained and load the required Dialects. For example in the Toy tutorial, the compiler only needs to load the Toy dialect in the Context, all the others (linalg, affine, std, LLVM, ...) are automatically loaded depending on the optimization pipeline enabled.
To adjust to this change, stop using the existing dialect registration: the global registry will be removed soon.
1) For passes, you need to override the method:
virtual void getDependentDialects(DialectRegistry ®istry) const {}
and registery on the provided registry any dialect that this pass can produce. Passes defined in TableGen can provide this list in the dependentDialects list field.
2) For dialects, on construction you can register dependent dialects using the provided MLIRContext: `context.getOrLoadDialect<DialectName>()` This is useful if a dialect may canonicalize or have interfaces involving another dialect.
3) For loading IR, dialect that can be in the input file must be explicitly registered with the context. `MlirOptMain()` is taking an explicit registry for this purpose. See how the standalone-opt.cpp example is setup:
mlir::DialectRegistry registry; mlir::registerDialect<mlir::standalone::StandaloneDialect>(); mlir::registerDialect<mlir::StandardOpsDialect>();
Only operations from these two dialects can be in the input file. To include all of the dialects in MLIR Core, you can populate the registry this way:
mlir::registerAllDialects(registry);
4) For `mlir-translate` callback, as well as frontend, Dialects can be loaded in the context before emitting the IR: context.getOrLoadDialect<ToyDialect>()
show more ...
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25ee8517 |
| 15-Aug-2020 |
Mehdi Amini <[email protected]> |
Revert "Separate the Registration from Loading dialects in the Context"
This reverts commit 20563933875a9396c8ace9c9770ecf6a988c4ea6.
Build is broken on a few bots
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20563933 |
| 15-Aug-2020 |
Mehdi Amini <[email protected]> |
Separate the Registration from Loading dialects in the Context
This changes the behavior of constructing MLIRContext to no longer load globally registered dialects on construction. Instead Dialects
Separate the Registration from Loading dialects in the Context
This changes the behavior of constructing MLIRContext to no longer load globally registered dialects on construction. Instead Dialects are only loaded explicitly on demand: - the Parser is lazily loading Dialects in the context as it encounters them during parsing. This is the only purpose for registering dialects and not load them in the context. - Passes are expected to declare the dialects they will create entity from (Operations, Attributes, or Types), and the PassManager is loading Dialects into the Context when starting a pipeline.
This changes simplifies the configuration of the registration: a compiler only need to load the dialect for the IR it will emit, and the optimizer is self-contained and load the required Dialects. For example in the Toy tutorial, the compiler only needs to load the Toy dialect in the Context, all the others (linalg, affine, std, LLVM, ...) are automatically loaded depending on the optimization pipeline enabled.
Differential Revision: https://reviews.llvm.org/D85622
show more ...
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ba92dadf |
| 15-Aug-2020 |
Mehdi Amini <[email protected]> |
Revert "Separate the Registration from Loading dialects in the Context"
This was landed by accident, will reland with the right comments addressed from the reviews. Also revert dependent build fixes.
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ebf521e7 |
| 14-Aug-2020 |
Mehdi Amini <[email protected]> |
Separate the Registration from Loading dialects in the Context
This changes the behavior of constructing MLIRContext to no longer load globally registered dialects on construction. Instead Dialects
Separate the Registration from Loading dialects in the Context
This changes the behavior of constructing MLIRContext to no longer load globally registered dialects on construction. Instead Dialects are only loaded explicitly on demand: - the Parser is lazily loading Dialects in the context as it encounters them during parsing. This is the only purpose for registering dialects and not load them in the context. - Passes are expected to declare the dialects they will create entity from (Operations, Attributes, or Types), and the PassManager is loading Dialects into the Context when starting a pipeline.
This changes simplifies the configuration of the registration: a compiler only need to load the dialect for the IR it will emit, and the optimizer is self-contained and load the required Dialects. For example in the Toy tutorial, the compiler only needs to load the Toy dialect in the Context, all the others (linalg, affine, std, LLVM, ...) are automatically loaded depending on the optimization pipeline enabled.
show more ...
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Revision tags: llvmorg-11.0.0-rc1, llvmorg-12-init, llvmorg-10.0.1, llvmorg-10.0.1-rc4, llvmorg-10.0.1-rc3, llvmorg-10.0.1-rc2, llvmorg-10.0.1-rc1 |
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1834ad4a |
| 07-Apr-2020 |
River Riddle <[email protected]> |
[mlir][Pass] Update the PassGen to generate base classes instead of utilities
Summary: This is much cleaner, and fits the same structure as many other tablegen backends. This was not done originally
[mlir][Pass] Update the PassGen to generate base classes instead of utilities
Summary: This is much cleaner, and fits the same structure as many other tablegen backends. This was not done originally as the CRTP in the pass classes made it overly verbose/complex.
Differential Revision: https://reviews.llvm.org/D77367
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9a277af2 |
| 01-Apr-2020 |
River Riddle <[email protected]> |
[mlir][Pass] Add support for generating pass utilities via tablegen
This revision adds support for generating utilities for passes such as options/statistics/etc. that can be inferred from the table
[mlir][Pass] Add support for generating pass utilities via tablegen
This revision adds support for generating utilities for passes such as options/statistics/etc. that can be inferred from the tablegen definition. This removes additional boilerplate from the pass, and also makes it easier to remove the reliance on the pass registry to provide certain things(e.g. the pass argument).
Differential Revision: https://reviews.llvm.org/D76659
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8155e41a |
| 01-Apr-2020 |
River Riddle <[email protected]> |
[mlir][Pass] Add a tablegen backend for defining Pass information
This will greatly simplify a number of things related to passes: * Enables generation of pass registration * Enables generation of b
[mlir][Pass] Add a tablegen backend for defining Pass information
This will greatly simplify a number of things related to passes: * Enables generation of pass registration * Enables generation of boiler plate pass utilities * Enables generation of pass documentation
This revision focuses on adding the basic structure and adds support for generating the registration for passes in the Transforms/ directory. Future revisions will add more support and move more passes over.
Differential Revision: https://reviews.llvm.org/D76656
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