| Commit message (Collapse) | Author | Age | Files | Lines |
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I used the codemod python tool to do this with the following commands:
codemod 'tensorflow/mlir/blob/master/include' 'llvm/llvm-project/blob/master/mlir/include'
codemod 'tensorflow/mlir/blob/master' 'llvm/llvm-project/blob/master/mlir'
codemod 'tensorflow/mlir' 'llvm-project/llvm'
Differential Revision: https://reviews.llvm.org/D72244
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properly value-typed.
Summary: These were temporary methods used to simplify the transition.
Reviewed By: antiagainst
Differential Revision: https://reviews.llvm.org/D72548
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ValuePtr was a temporary typedef during the transition to a value-typed Value.
PiperOrigin-RevId: 286945714
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PiperOrigin-RevId: 286906740
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Value being value-typed.
This is an initial step to refactoring the representation of OpResult as proposed in: https://groups.google.com/a/tensorflow.org/g/mlir/c/XXzzKhqqF_0/m/v6bKb08WCgAJ
This change will make it much simpler to incrementally transition all of the existing code to use value-typed semantics.
PiperOrigin-RevId: 286844725
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GCC is unable to properly implicitly capture 'this' in generic lambdas. This bug is not fixed until 7.1.0:
https://gcc.gnu.org/bugzilla/show_bug.cgi?id=67274
PiperOrigin-RevId: 286083427
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PiperOrigin-RevId: 286066371
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Closes tensorflow/mlir#306
COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/mlir/pull/306 from shanshanpt:master 11430c2131281d84a432f45e854e29917b336e8d
PiperOrigin-RevId: 284613648
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Closes tensorflow/mlir#304
PiperOrigin-RevId: 284568358
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Support for including a file multiple times was added in tablegen, removing the need for these extra guards. This is because we already insert c/c++ style header guards within each of the specific .td files.
PiperOrigin-RevId: 282076728
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This change allows for adding additional nested references to a SymbolRefAttr to allow for further resolving a symbol if that symbol also defines a SymbolTable. If a referenced symbol also defines a symbol table, a nested reference can be used to refer to a symbol within that table. Nested references are printed after the main reference in the following form:
symbol-ref-attribute ::= symbol-ref-id (`::` symbol-ref-id)*
Example:
module @reference {
func @nested_reference()
}
my_reference_op @reference::@nested_reference
Given that SymbolRefAttr is now more general, the existing functionality centered around a single reference is moved to a derived class FlatSymbolRefAttr. Followup commits will add support to lookups, rauw, etc. for scoped references.
PiperOrigin-RevId: 279860501
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Toy tutorial compiler
Fix tensorflow/mlir#229
PiperOrigin-RevId: 279557863
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Use header blocks to separate operation implementations, and switch the build methods to be out-of-line when possible.
PiperOrigin-RevId: 278982913
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bit of the implementation.
PiperOrigin-RevId: 278982817
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Upstream LLVM gained support for #ifndef with https://reviews.llvm.org/D61888
This is changed mechanically via the following command:
find . -name "*.td" -exec sed -i -e ':a' -e 'N' -e '$!ba' -e 's/#ifdef \([A-Z_]*\)\n#else/#ifndef \1/g' {} \;
PiperOrigin-RevId: 277789427
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This allows for them to be used on other non-function, or even other function-like, operations. The algorithms are already generic, so this is simply changing the derived pass type. The majority of this change is just ensuring that the nesting of these passes remains the same, as the pass manager won't auto-nest them anymore.
PiperOrigin-RevId: 276573038
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This was used for shape inference in the previous tutorial flow.
PiperOrigin-RevId: 276351916
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This change rewrites Ch-4.md to introduced interfaces in a detailed step-by-step manner, adds examples, and fixes some errors.
PiperOrigin-RevId: 275887017
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MulOp now represents an element-wise multiplication instead of a matrix multiplication.
PiperOrigin-RevId: 275886774
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Closes tensorflow/mlir#175
PiperOrigin-RevId: 275726876
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PiperOrigin-RevId: 275659433
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These don't add any value, and some are even more restrictive than the respective static 'get' method.
PiperOrigin-RevId: 275391240
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The transpose in the example had the same result type as its input, which is incorrect.
PiperOrigin-RevId: 275186568
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This chapter adds a partial lowering of toy operations, all but PrintOp, to a combination of the Affine and Std dialects. This chapter focuses on introducing the conversion framework, the benefits of partial lowering, and how easily dialects may co-exist in the IR.
PiperOrigin-RevId: 275150649
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The GenericCallOp needed to have the CallOpInterface to be picked up by the inliner. This also adds a CastOp to perform shape casts that are generated during inlining. The casts generated by the inliner will be folded away after shape inference.
PiperOrigin-RevId: 275150438
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PiperOrigin-RevId: 275147795
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This change performs general cleanups of the implementation of ch.4 and fixes some bugs. For example, the operations currently don't inherit from the shape inference interface.
PiperOrigin-RevId: 275089914
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This Chapter now introduces and makes use of the Interface concept
in MLIR to demonstrate ShapeInference.
END_PUBLIC
Closes tensorflow/mlir#191
PiperOrigin-RevId: 275085151
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PiperOrigin-RevId: 272851237
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MLIR follows the LLVM convention of passing by reference instead of by pointer.
PiperOrigin-RevId: 270396945
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PiperOrigin-RevId: 269803466
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This change generalizes the structure of the pass manager to allow arbitrary nesting pass managers for other operations, at any level. The only user visible change to existing code is the fact that a PassManager must now provide an MLIRContext on construction. A new class `OpPassManager` has been added that represents a pass manager on a specific operation type. `PassManager` will remain the top-level entry point into the pipeline, with OpPassManagers being nested underneath. OpPassManagers will still be implicitly nested if the operation type on the pass differs from the pass manager. To explicitly build a pipeline, the 'nest' methods on OpPassManager may be used:
// Pass manager for the top-level module.
PassManager pm(ctx);
// Nest a pipeline operating on FuncOp.
OpPassManager &fpm = pm.nest<FuncOp>();
fpm.addPass(...);
// Nest a pipeline under the FuncOp pipeline that operates on spirv::ModuleOp
OpPassManager &spvModulePM = pm.nest<spirv::ModuleOp>();
// Nest a pipeline on FuncOps inside of the spirv::ModuleOp.
OpPassManager &spvFuncPM = spvModulePM.nest<FuncOp>();
To help accomplish this a new general OperationPass is added that operates on opaque Operations. This pass can be inserted in a pass manager of any type to operate on any operation opaquely. An example of this opaque OperationPass is a VerifierPass, that simply runs the verifier opaquely on the current operation.
/// Pass to verify an operation and signal failure if necessary.
class VerifierPass : public OperationPass<VerifierPass> {
void runOnOperation() override {
Operation *op = getOperation();
if (failed(verify(op)))
signalPassFailure();
markAllAnalysesPreserved();
}
};
PiperOrigin-RevId: 266840344
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PiperOrigin-RevId: 264193915
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Switch to C++14 standard method as llvm::make_unique has been removed (
https://reviews.llvm.org/D66259). Also mark some targets as c++14 to ease next
integrates.
PiperOrigin-RevId: 263953918
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Since raw pointers are always passed around for IR construct without
implying any ownership transfer, it can be error prone to have implicit
ownership transferred the same way.
For example this code can seem harmless:
Pass *pass = ....
pm.addPass(pass);
pm.addPass(pass);
pm.run(module);
PiperOrigin-RevId: 263053082
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The entry block is often used recently after insertion. This removes the need to perform an additional lookup in such cases.
PiperOrigin-RevId: 262265671
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This allows for proper forward declaration, as opposed to leaking the internal implementation via a using directive. This also allows for all pattern building to go through 'insert' methods on the OwningRewritePatternList, replacing uses of 'push_back' and 'RewriteListBuilder'.
PiperOrigin-RevId: 261816316
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main already calls registerPassManagerCLOptions.
TESTED = not (NFC)
PiperOrigin-RevId: 257722013
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This allows for the attribute to hold symbolic references to other operations than FuncOp. This also allows for removing the dependence on FuncOp from the base Builder.
PiperOrigin-RevId: 257650017
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This allows for removing the last direct reference to FuncOp from ModuleOp.
PiperOrigin-RevId: 257498296
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Module is a legacy name that only exists as a typedef of ModuleOp.
PiperOrigin-RevId: 257427248
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This allows for giving a Module a more interesting location than 'Unknown'.
PiperOrigin-RevId: 257310117
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PiperOrigin-RevId: 257293379
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Modules can now contain more than just Functions, this just updates the iteration API to reflect that. The 'begin'/'end' methods have also been updated to iterate over opaque Operations.
PiperOrigin-RevId: 257099084
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This is an important step in allowing for the top-level of the IR to be extensible. FuncOp and ModuleOp contain all of the necessary functionality, while using the existing operation infrastructure. As an interim step, many of the usages of Function and Module, including the name, will remain the same. In the future, many of these will be relaxed to allow for many different types of top-level operations to co-exist.
PiperOrigin-RevId: 256427100
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As Functions/Modules becomes operations, these methods will conflict with the 'verify' hook already on derived operation types.
PiperOrigin-RevId: 256246112
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As with Functions, Module will soon become an operation, which are value-typed. This eases the transition from Module to ModuleOp. A new class, OwningModuleRef is provided to allow for owning a reference to a Module, and will auto-delete the held module on destruction.
PiperOrigin-RevId: 256196193
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Move the data members out of Function and into a new impl storage class 'FunctionStorage'. This allows for Function to become value typed, which will greatly simplify the transition of Function to FuncOp(given that FuncOp is also value typed).
PiperOrigin-RevId: 255983022
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into the mlir namespace.
Now that Locations are attributes, they have direct access to the MLIR context. This allows for simplifying error emission by removing unnecessary context lookups.
PiperOrigin-RevId: 255112791
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PiperOrigin-RevId: 255078768
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