History log of /llvm-project-15.0.7/mlir/lib/Dialect/Bufferization/IR/BufferizationOps.cpp (Results 1 – 25 of 35)
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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
# 664ffa46 25-Jul-2022 Matthias Springer <[email protected]>

[mlir][tensor][bufferize] Fix deallocation of GenerateOp/FromElementsOp

Both ops allocate a buffer. There were cases in which the buffer was not deallocated.

Differential Revision: https://reviews.

[mlir][tensor][bufferize] Fix deallocation of GenerateOp/FromElementsOp

Both ops allocate a buffer. There were cases in which the buffer was not deallocated.

Differential Revision: https://reviews.llvm.org/D130469

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# 27a431f5 19-Jul-2022 Matthias Springer <[email protected]>

[mlir][bufferization][NFC] Move sparse_tensor.release to bufferization dialect

This op used to belong to the sparse dialect, but there are use cases for dense bufferization as well. (E.g., when a te

[mlir][bufferization][NFC] Move sparse_tensor.release to bufferization dialect

This op used to belong to the sparse dialect, but there are use cases for dense bufferization as well. (E.g., when a tensor alloc is returned from a function and should be deallocated at the call site.) This change moves the op to the bufferization dialect, which now has an `alloc_tensor` and a `dealloc_tensor` op.

Differential Revision: https://reviews.llvm.org/D129985

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# 491d2701 13-Jul-2022 Kazu Hirata <[email protected]>

[mlir] Use has_value instead of hasValue (NFC)


# 136d746e 11-Jul-2022 Jacques Pienaar <[email protected]>

[mlir] Flip accessors to prefixed form (NFC)

Another mechanical sweep to keep diff small for flip to _Prefixed.


# fc9b37dd 09-Jul-2022 Matthias Springer <[email protected]>

[mlir][bufferization] Do not canonicalize to_tensor(to_memref(x))

This is a partial revert of D128615.

to_memref(to_tensor(x)) always be folded to x. But to_tensor(to_memref(x)) cannot be folded in

[mlir][bufferization] Do not canonicalize to_tensor(to_memref(x))

This is a partial revert of D128615.

to_memref(to_tensor(x)) always be folded to x. But to_tensor(to_memref(x)) cannot be folded in the general case because writes to the intermediary memref may go unnoticed.

Differential Revision: https://reviews.llvm.org/D129354

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# 04235d07 28-Jun-2022 Jacques Pienaar <[email protected]>

[mlir] Update flipped accessors (NFC)

Follow up with memref flipped and flipping any intermediate changes
made.


# cb471241 27-Jun-2022 Matthias Springer <[email protected]>

[mlir][bufferize] Improve to_tensor/to_memref folding

Differential Revision: https://reviews.llvm.org/D128615


# c0b0b6a0 27-Jun-2022 Matthias Springer <[email protected]>

[mlir][bufferize] Infer memory space in all bufferization patterns

This change updates all remaining bufferization patterns (except for scf.while) and the remaining bufferization infrastructure to i

[mlir][bufferize] Infer memory space in all bufferization patterns

This change updates all remaining bufferization patterns (except for scf.while) and the remaining bufferization infrastructure to infer the memory space whenever possible instead of falling back to "0". (If a default memory space is set in the bufferization options, we still fall back to that value if the memory space could not be inferred.)

Differential Revision: https://reviews.llvm.org/D128423

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# 5d50f51c 27-Jun-2022 Matthias Springer <[email protected]>

[mlir][bufferization][NFC] Add error handling to getBuffer

This is in preparation of adding memory space support.

Differential Revision: https://reviews.llvm.org/D128277


# 0d0a94a7 27-Jun-2022 Matthias Springer <[email protected]>

[mlir][bufferization][NFC] Fix typo in AllocTensorOp builders


# c06f01ff 27-Jun-2022 Matthias Springer <[email protected]>

[mlir][bufferization] Add `memory_space` op attribute

This attribute is currently supported on AllocTensorOp only. Future changes will add support to other ops. Furthermore, the memory space is not

[mlir][bufferization] Add `memory_space` op attribute

This attribute is currently supported on AllocTensorOp only. Future changes will add support to other ops. Furthermore, the memory space is not propagated properly in all bufferization patterns and some of the core bufferization infrastructure. This will be addressed in a subsequent change.

Differential Revision: https://reviews.llvm.org/D128274

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# 3b7c3a65 25-Jun-2022 Kazu Hirata <[email protected]>

Revert "Don't use Optional::hasValue (NFC)"

This reverts commit aa8feeefd3ac6c78ee8f67bf033976fc7d68bc6d.


# aa8feeef 25-Jun-2022 Kazu Hirata <[email protected]>

Don't use Optional::hasValue (NFC)


# 9a3d60e0 23-Jun-2022 Aart Bik <[email protected]>

[mlir][bufferization][sparse] put restriction on sparse tensor allocation

Putting some direct use restrictions on tensor allocations in the
sparse case enables the use of simplifying assumptions in

[mlir][bufferization][sparse] put restriction on sparse tensor allocation

Putting some direct use restrictions on tensor allocations in the
sparse case enables the use of simplifying assumptions in the
bufferization analysis.

Reviewed By: springerm

Differential Revision: https://reviews.llvm.org/D128463

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# 3474d10e 23-Jun-2022 Matthias Springer <[email protected]>

[mlir][bufferization][NFC] Make `escape` a dialect attribute

All bufferizable ops that bufferize to an allocation receive a `bufferization.escape` attribute during TensorCopyInsertion.

Differential

[mlir][bufferization][NFC] Make `escape` a dialect attribute

All bufferizable ops that bufferize to an allocation receive a `bufferization.escape` attribute during TensorCopyInsertion.

Differential Revision: https://reviews.llvm.org/D128137

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Revision tags: llvmorg-14.0.6
# 037f0995 20-Jun-2022 Kazu Hirata <[email protected]>

[mlir] Don't use Optional::hasValue (NFC)


# 99260e95 18-Jun-2022 Matthias Springer <[email protected]>

[mlir][bufferization] Set emitAccessorPrefix dialect flag

Generate get/set accessors on all bufferization ops. Also update all internal uses.

Differential Revision: https://reviews.llvm.org/D128057


# b55d55ec 17-Jun-2022 Matthias Springer <[email protected]>

[mlir][bufferize][NFC] Remove BufferizationState

With the recent refactorings, this class is no longer needed. We can use BufferizationOptions in all places were BufferizationState was used.

Differ

[mlir][bufferize][NFC] Remove BufferizationState

With the recent refactorings, this class is no longer needed. We can use BufferizationOptions in all places were BufferizationState was used.

Differential Revision: https://reviews.llvm.org/D127653

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# b3ebe3be 17-Jun-2022 Matthias Springer <[email protected]>

[mlir][bufferize] Bufferize after TensorCopyInsertion

This change changes the bufferization so that it utilizes the new TensorCopyInsertion pass. One-Shot Bufferize no longer calls the One-Shot Anal

[mlir][bufferize] Bufferize after TensorCopyInsertion

This change changes the bufferization so that it utilizes the new TensorCopyInsertion pass. One-Shot Bufferize no longer calls the One-Shot Analysis. Instead, it relies on the TensorCopyInsertion pass to make the entire IR fully inplacable. The `bufferize` implementations of all ops are simplified; they no longer have to account for out-of-place bufferization decisions. These were already materialized in the IR in the form of `bufferization.alloc_tensor` ops during the TensorCopyInsertion pass.

Differential Revision: https://reviews.llvm.org/D127652

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Revision tags: llvmorg-14.0.5
# 56d68e8d 09-Jun-2022 Matthias Springer <[email protected]>

[mlir][bufferization] Add optional `copy` operand to AllocTensorOp

If `copy` is specified, the newly allocated buffer is initialized with the given contents. Also add an optional `escape` attribute

[mlir][bufferization] Add optional `copy` operand to AllocTensorOp

If `copy` is specified, the newly allocated buffer is initialized with the given contents. Also add an optional `escape` attribute to indicate whether the buffer of the tensor may be returned from the parent block (aka. "escape") after bufferization.

This change is in preparation of connecting One-Shot Bufferize to the sparse compiler.

Differential Revision: https://reviews.llvm.org/D126570

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Revision tags: llvmorg-14.0.4
# ec55f0bd 23-May-2022 Matthias Springer <[email protected]>

[mlir][bufferization][NFC] Improve assembly format of AllocTensorOp

No longer pass static dim sizes as an attribute. This was redundant and required extra checks in the verifier. This change also ma

[mlir][bufferization][NFC] Improve assembly format of AllocTensorOp

No longer pass static dim sizes as an attribute. This was redundant and required extra checks in the verifier. This change also makes the op symmetrical to memref::AllocOp.

Differential Revision: https://reviews.llvm.org/D126178

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# ffdbeccc 21-May-2022 Matthias Springer <[email protected]>

[mlir][bufferization] Add bufferization.alloc_tensor op

This change adds a new op `alloc_tensor` to the bufferization dialect. During bufferization, this op is always lowered to a buffer allocation

[mlir][bufferization] Add bufferization.alloc_tensor op

This change adds a new op `alloc_tensor` to the bufferization dialect. During bufferization, this op is always lowered to a buffer allocation (unless it is "eliminated" by a pre-processing pass). It is useful to have such an op in tensor land, because it allows users to model tensor SSA use-def chains (which drive bufferization decisions) and because tensor SSA use-def chains can be analyzed by One-Shot Bufferize, while memref values cannot.

This change also replaces all uses of linalg.init_tensor in bufferization-related code with bufferization.alloc_tensor.

linalg.init_tensor and bufferization.alloc_tensor are similar, but the purpose of the former one is just to carry a shape. It does not indicate a memory allocation.

linalg.init_tensor is not suitable for modelling SSA use-def chains for bufferization purposes, because linalg.init_tensor is marked as not having side effects (in contrast to alloc_tensor). As such, it is legal to move linalg.init_tensor ops around/CSE them/etc. This is not desirable for alloc_tensor; it represents an explicit buffer allocation while still in tensor land and such allocations should not suddenly disappear or get moved around when running the canonicalizer/CSE/etc.

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Differential Revision: https://reviews.llvm.org/D126003

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# 0b293bf0 16-May-2022 Matthias Springer <[email protected]>

[mlir][bufferize] Better propagation of errors

Return immediately when an op bufferization patterns fails.

Differential Revision: https://reviews.llvm.org/D125087


Revision tags: llvmorg-14.0.3, llvmorg-14.0.2
# eda6f907 22-Apr-2022 River Riddle <[email protected]>

[mlir][NFC] Shift a bunch of dialect includes from the .h to the .cpp

Now that dialect constructors are generated in the .cpp file, we can
drop all of the dependent dialect includes from the .h file

[mlir][NFC] Shift a bunch of dialect includes from the .h to the .cpp

Now that dialect constructors are generated in the .cpp file, we can
drop all of the dependent dialect includes from the .h file.

Differential Revision: https://reviews.llvm.org/D124298

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# d820acdd 22-Apr-2022 Matthias Springer <[email protected]>

[mlir][bufferize][NFC] Use custom walk instead of GreedyPatternRewriter

The bufferization driver was previously using a GreedyPatternRewriter. This was problematic because bufferization must travers

[mlir][bufferize][NFC] Use custom walk instead of GreedyPatternRewriter

The bufferization driver was previously using a GreedyPatternRewriter. This was problematic because bufferization must traverse ops top-to-bottom. The GreedyPatternRewriter was previously configured via `useTopDownTraversal`, but this was a hack; this API was just meant for performance improvements and should not affect the result of the rewrite.

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Differential Revision: https://reviews.llvm.org/D123618

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