Reduce code duplication: Move various helper functions, that are duplicated in TensorDialect, MemRefDialect, LinalgDialect, StandardDialect, into a new StaticValueUtils.cpp.
Differential Revision: https://reviews.llvm.org/D104687
The main goal of this commit is to remove the dependency of Standard dialect on the Tensor dialect.
* Rename SubTensorOp -> tensor.extract_slice, SubTensorInsertOp -> tensor.insert_slice.
* Some helper functions are (already) duplicated between the Tensor dialect and the MemRef dialect. To keep this commit smaller, this will be cleaned up in a separate commit.
* Additional dialect dependencies: Shape --> Tensor, Tensor --> Standard
* Remove dialect dependencies: Standard --> Tensor
* Move canonicalization test cases to correct dialect (Tensor/MemRef).
Note: This is a fixed version of https://reviews.llvm.org/D104499, which was reverted due to a missing update to two CMakeFile.txt.
Differential Revision: https://reviews.llvm.org/D104676
The main goal of this commit is to remove the dependency of Standard dialect on the Tensor dialect.
* Rename ops: SubTensorOp --> ExtractTensorOp, SubTensorInsertOp --> InsertTensorOp
* Some helper functions are (already) duplicated between the Tensor dialect and the MemRef dialect. To keep this commit smaller, this will be cleaned up in a separate commit.
* Additional dialect dependencies: Shape --> Tensor, Tensor --> Standard
* Remove dialect dependencies: Standard --> Tensor
* Move canonicalization test cases to correct dialect (Tensor/MemRef).
Differential Revision: https://reviews.llvm.org/D104499
Based on dicussion in
[this](https://llvm.discourse.group/t/remove-canonicalizer-for-memref-dim-via-shapedtypeopinterface/3641)
thread the pattern to resolve the `memref.dim` of a value that is a
result of an operation that implements the
`InferShapedTypeOpInterface` is moved to a separate pass instead of
running it as a canonicalization pass. This allows shape resolution to
happen when explicitly required, instead of automatically through a
canonicalization.
Differential Revision: https://reviews.llvm.org/D104321
## Introduction
This proposal describes the new op to be added to the `std` (and later moved `memref`)
dialect called `alloca_scope`.
## Motivation
Alloca operations are easy to misuse, especially if one relies on it while doing
rewriting/conversion passes. For example let's consider a simple example of two
independent dialects, one defines an op that wants to allocate on-stack and
another defines a construct that corresponds to some form of looping:
```
dialect1.looping_op {
%x = dialect2.stack_allocating_op
}
```
Since the dialects might not know about each other they are going to define a
lowering to std/scf/etc independently:
```
scf.for … {
%x_temp = std.alloca …
… // do some domain-specific work using %x_temp buffer
… // and store the result into %result
%x = %result
}
```
Later on the scf and `std.alloca` is going to be lowered to llvm using a
combination of `llvm.alloca` and unstructured control flow.
At this point the use of `%x_temp` is bound to either be either optimized by
llvm (for example using mem2reg) or in the worst case: perform an independent
stack allocation on each iteration of the loop. While the llvm optimizations are
likely to succeed they are not guaranteed to do so, and they provide
opportunities for surprising issues with unexpected use of stack size.
## Proposal
We propose a new operation that defines a finer-grain allocation scope for the
alloca-allocated memory called `alloca_scope`:
```
alloca_scope {
%x_temp = alloca …
...
}
```
Here the lifetime of `%x_temp` is going to be bound to the narrow annotated
region within `alloca_scope`. Moreover, one can also return values out of the
alloca_scope with an accompanying `alloca_scope.return` op (that behaves
similarly to `scf.yield`):
```
%result = alloca_scope {
%x_temp = alloca …
…
alloca_scope.return %myvalue
}
```
Under the hood the `alloca_scope` is going to lowered to a combination of
`llvm.intr.stacksave` and `llvm.intr.strackrestore` that are going to be invoked
automatically as control-flow enters and leaves the body of the `alloca_scope`.
The key value of the new op is to allow deterministic guaranteed stack use
through an explicit annotation in the code which is finer-grain than the
function-level scope of `AutomaticAllocationScope` interface. `alloca_scope`
can be inserted at arbitrary locations and doesn’t require non-trivial
transformations such as outlining.
## Which dialect
Before memref dialect is split, `alloca_scope` can temporarily reside in `std`
dialect, and later on be moved to `memref` together with the rest of
memory-related operations.
## Implementation
An implementation of the op is available [here](https://reviews.llvm.org/D97768).
Original commits:
* Add initial scaffolding for alloca_scope op
* Add alloca_scope.return op
* Add no region arguments and variadic results
* Add op descriptions
* Add failing test case
* Add another failing test
* Initial implementation of lowering for std.alloca_scope
* Fix backticks
* Fix getSuccessorRegions implementation
Reviewed By: ftynse
Differential Revision: https://reviews.llvm.org/D97768
Currently canonicalizations of a store and a cast try to fold all casts into the store.
In the case where the operand being stored is itself a cast, this is illegal as the type of the value being stored
will change. This PR fixes this by not checking the value for folding with a cast.
Depends on https://reviews.llvm.org/D103828
Differential Revision: https://reviews.llvm.org/D103829
This previously handled memref::SubviewOp, but this can be extended to
all ops implementing the interface.
Differential Revision: https://reviews.llvm.org/D103076
The previous implementation did not handle casting behavior properly and
did not consider aliases.
Differential Revision: https://reviews.llvm.org/D102785
Original interfaces are not safe to be called during dialect conversion.
This is because some ops (e.g. `dynamic_reshape(input, target_shape)`)
depend on the values of their operands to calculate the output shape.
However the operands may be out of reach during dialect conversion (e.g.
converting from tensor world to buffer world). This patch provides a new
kind of interface which accpets user-provided operands to solve this
problem.
Reviewed By: herhut
Differential Revision: https://reviews.llvm.org/D102317
This change allows the SRC and DST of dma_start operations to be located in the
same memory space. This applies to both the Affine dialect and Memref dialect
versions of these Ops. The documention has been updated to reflect this by
explicitly stating overlapping memory locations are not supported (undefined
behavior).
Reviewed By: bondhugula
Differential Revision: https://reviews.llvm.org/D102274
In the buffer deallocation pass, unranked memref types are not properly supported.
After investigating this issue, it turns out that the Clone and Dealloc operation
does not support unranked memref types in the current implementation.
This patch adds the missing feature and enables the transformation of any memref
type.
This patch solves this bug: https://bugs.llvm.org/show_bug.cgi?id=48385
Differential Revision: https://reviews.llvm.org/D101760
Canonicalizations for subtensor operations defaulted to use the
rank-reduced version of the operation, but the cast inserted to get
back the original type would be illegal if the rank was actually
reduced. Instead make the canonicalization not reduce the rank of the
operation.
Differential Revision: https://reviews.llvm.org/D101258
When allocLikeOp is updated in alloc constant folding,
alighnment attribute was ignored. This patch fixes it.
Signed-off-by: Haruki Imai <imaihal@jp.ibm.com>
Reviewed By: mehdi_amini
Differential Revision: https://reviews.llvm.org/D99882
A new `InterfaceMethod` is added to `InferShapedTypeOpInterface` that
allows an operation to return the `Value`s for each dim of its
results. It is intended for the case where the `Value` returned for
each dim is computed using the operands and operation attributes. This
interface method is for cases where the result dim of an operation can
be computed independently, and it avoids the need to aggregate all
dims of a result into a single shape value. This also implies that
this is not suitable for cases where the result type is unranked (for
which the existing interface methods is to be used).
Also added is a canonicalization pattern that uses this interface and
resolves the shapes of the output in terms of the shapes of the
inputs. Moving Linalg ops to use this interface, so that many
canonicalization patterns implemented for individual linalg ops to
achieve the same result can be removed in favor of the added
canonicalization pattern.
Differential Revision: https://reviews.llvm.org/D97887
Add a new clone operation to the memref dialect. This operation implicitly
copies data from a source buffer to a new buffer. In contrast to the linalg.copy
operation, this operation does not accept a target buffer as an argument.
Instead, this operation performs a conceptual allocation which does not need to
be performed manually.
Furthermore, this operation resolves the dependency from the linalg-dialect
in the BufferDeallocation pass. In addition, we also extended the canonicalization
patterns to fold clone operations. The copy removal pass has been removed.
Differential Revision: https://reviews.llvm.org/D99172
Use new `MemRefType::getMemorySpace` method with generic Attribute
in cases, where there is no specific logic around the memory space.
Reviewed By: rriddle
Differential Revision: https://reviews.llvm.org/D99154
This doesn't change APIs, this just cleans up the many in-tree uses of these
names to use the new preferred names. We'll keep the old names around for a
couple weeks to help transitions.
Differential Revision: https://reviews.llvm.org/D99127
The patch in question broke the build with shared libraries due to
missing dependencies, one of which would have been circular between
MLIRStandard and MLIRMemRef if added. Fix this by moving more code
around and swapping the dependency direction. MLIRMemRef now depends on
MLIRStandard, but MLIRStandard does _not_ depend on MLIRMemRef.
Arguably, this is the right direction anyway since numerous libraries
depend on MLIRStandard and don't necessarily need to depend on
MLIRMemref.
Other otable changes include:
- some EDSC code is moved inline to MemRef/EDSC/Intrinsics.h because it
creates MemRef dialect operations;
- a utility function related to shape moved to BuiltinTypes.h/cpp
because it only realtes to shaped types and not any particular dialect
(standard dialect is erroneously believed to contain MemRefType);
- a Python test for the standard dialect is disabled completely because
the ops it tests moved to the new MemRef dialect, but it is not
exposed to Python bindings, and the change for that is non-trivial.
This commit introduced a cyclic dependency:
Memref dialect depends on Standard because it used ConstantIndexOp.
Std depends on the MemRef dialect in its EDSC/Intrinsics.h
Working on a fix.
This reverts commit 8aa6c3765b924d86f623d452777eb76b83bf2787.
Create the memref dialect and move several dialect-specific ops without
dependencies to other ops from std dialect to this dialect.
Moved ops:
AllocOp -> MemRef_AllocOp
AllocaOp -> MemRef_AllocaOp
DeallocOp -> MemRef_DeallocOp
MemRefCastOp -> MemRef_CastOp
GetGlobalMemRefOp -> MemRef_GetGlobalOp
GlobalMemRefOp -> MemRef_GlobalOp
PrefetchOp -> MemRef_PrefetchOp
ReshapeOp -> MemRef_ReshapeOp
StoreOp -> MemRef_StoreOp
TransposeOp -> MemRef_TransposeOp
ViewOp -> MemRef_ViewOp
The roadmap to split the memref dialect from std is discussed here:
https://llvm.discourse.group/t/rfc-split-the-memref-dialect-from-std/2667
Differential Revision: https://reviews.llvm.org/D96425
