This CL adds an "std.if" op to represent an if-then-else construct whose condition is an arbitrary value of type i1.
This is necessary to lower all the existing examples from affine and linalg to std.for + std.if.
This CL introduces the op and adds the relevant positive and negative unit test. Lowering will be done in a separate followup CL.
PiperOrigin-RevId: 256649138
Some operations need to override the default behavior of builders, in
particular region-holding operations such as affine.for or tf.graph want to
inject default terminators into the region upon construction, which default
builders won't do. Provide a flag that disables the generation of default
builders so that the custom builders could use the same function signatures.
This is an intentionally low-level and heavy-weight feature that requires the
entire builder to be implemented, and it should be used sparingly. Injecting
code into the end of a default builder would depend on the naming scheme of the
default builder arguments that is not visible in the ODS. Checking that the
signature of a custom builder conflicts with that of a default builder to
prevent emission would require teaching ODG to differentiate between types and
(optional) argument names in the generated C++ code. If this flag ends up
being used a lot, we should consider adding traits that inject specific code
into the default builder.
PiperOrigin-RevId: 256640069
LogicalResult is a struct but some headers forward-declare it as a class, which
breaks Windows builds. Forward-delcare as a struct instead.
PiperOrigin-RevId: 256565699
This tool allows to execute MLIR IR snippets written in the GPU dialect
on a CUDA capable GPU. For this to work, a working CUDA install is required
and the build has to be configured with MLIR_CUDA_RUNNER_ENABLED set to 1.
PiperOrigin-RevId: 256551415
The equality check between the rank of a memref and the input size of the
layout affine map in AllocOp::verify is subsumed by the well-formedness check
of the memref type itself. Drop the redundant check from the verifier since it
is never exercised (the type builder does not allow one to construct a type
that would not pass the verifier check).
PiperOrigin-RevId: 256551247
Extend the LLVM lowering pass to accept callbacks that construct an instance of
(a subclass of) LLVMTypeConverter and populate a list of conversion patterns.
These callbacks will be called when the pass processes a module and their
results will be used to set up the dialect conversion infrastructure. Clients
can now provide additional conversion patterns to avoid the need of
materializing type conversions between LLVM and other types.
PiperOrigin-RevId: 256532415
This CL introduces a new syntax for creating multi-result ops and access their
results in result patterns. Specifically, if a multi-result op is unbound or
bound to a name without a trailing `__N` suffix, it will act as a value pack
and expand to all its values. If a multi-result op is bound to a symbol with
`__N` suffix, only the N-th result will be extracted and used.
PiperOrigin-RevId: 256465208
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
In most places, this is just a name change (with the exception of affine.dma_start swapping the operand positions of its tag memref and num_elements operands).
Significant code changes occur here:
*) Vectorization: LoopAnalysis.cpp, Vectorize.cpp
*) Affine Transforms: Transforms/Utils/Utils.cpp
PiperOrigin-RevId: 256395088
This CL refactors tiling to enable tiling of views that are not just specified by a simple permutation. This allows the tiling of convolutions for which a new example is added.
PiperOrigin-RevId: 256346028
This CL is the first step of a refactoring unification of the control flow abstraction used in different dialects. The `std.for` loop accepts unrestricted indices to encode min, max and step and will be used as a common abstraction on the way to lower level dialects.
PiperOrigin-RevId: 256331795
As Functions/Modules becomes operations, these methods will conflict with the 'verify' hook already on derived operation types.
PiperOrigin-RevId: 256246112
This CL uses the generic CopyOp to promote a subview (constructed during tiling) into a new buffer + copy by:
1. Creating a new buffer for the subview.
2. Taking a view into the buffer and copying into it.
3. Adapting the linalg op to operating on the view from point 2.
Tiling is extended with a boolean flag to enable promoting views (all or nothing for now).
More specifically, the current implementation creates a buffer that is always of the full size of the ranges of the subview. This produces a buffer whose size may be bigger
than the actual size of the `subView` at the boundaries and is related to the full/partial tile problem.
In practice, we introduce a `buffer`, a `fullLocalView` and a `partialLocalView` such that:
* `buffer` is always the size of the subview in the full tile case.
* `fullLocalView` is a dense contiguous view into that buffer.
* `partialLocalView` is a dense non-contiguous slice of `fullLocalView`
that corresponds to the size of `subView` and accounting for boundary
effects.
The point of the full tile buffer is that constant static tile sizes are
folded and result in a buffer type with statically known size and alignment
properties.
Padding is introduced on the boundary tiles with a `fill` op followed by a partial `copy` op.
These behaviors will be refined later, on a per-need basis.
PiperOrigin-RevId: 256237319
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
about the buffer size. This is needed to resolve the operand
correctly. Add that information to view op
serialization/deserialization
Also modify the parsing of buffer type by splitting at 'x' to
side-step issues with StringRef number parsing.
PiperOrigin-RevId: 256188319
This saves us the excessive string conversions and comparisons in
verification and transformation and scopes them only to parsing
and printing, which are meant for I/O so string conversions should
be fine.
In order to do this, changed the custom assembly format of
spv.module regarding addressing model and memory model.
PiperOrigin-RevId: 256149856
StringAttr-backed enum attribute cases changed to allow explicit values,
But this assertion was not deleted.
Fixes https://github.com/tensorflow/mlir/issues/39
PiperOrigin-RevId: 256090793
The GPU Launch operation may take constants as arguments, in particular
affine-to-GPU mapping pass automatically forwards potentially constant lower
bounds of loops into the kernel. Define a canonicalization pattern for
LaunchOp that recreates the constants inside the kernel region instead of
accepting them as kernel arguments. This is currently restricted to standard
constants but may be extended to other constant operations.
Also fix an off-by-one indexing bug in OperandStorage::eraseOperand.
PiperOrigin-RevId: 256035437
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
Type conversion does not necessarily affect all types, some of them may remain
untouched. The type conversion tool from the dialect conversion framework will
unconditionally insert a temporary cast operation from the type to itself
anyway, and will try to materialize it to a real conversion operation if there
are remaining uses. Simply use the original value instead.
PiperOrigin-RevId: 255975450
The RUN line was missing a call to FileCheck making the test always pass. Add
the call to FileCheck and temporarily disable one of the tests that does not
produce the expected result.
PiperOrigin-RevId: 255974805
Lei Zhang