The MLIR LSP server initially had plans to support running passes from the
client, but this was never implemented. The doc unnecessarily advise to
register passes and makes reference to LSP server having some interaction
with passes.
Differential Revision: https://reviews.llvm.org/D153046
This provides hover information for classes, defs, fields, and template
arguments. Like PDLL, this pulls documentation from the source code
when hovering over fields and records.
Differential Revision: https://reviews.llvm.org/D134259
This allows for automatically inserting expected checks for parser and verifier
diagnostics, which simplifies the workflow when building new dialect
constructs or extending existing ones.
Differential Revision: https://reviews.llvm.org/D130152
These allow for displaying additional inline information,
such as the types of variables, names operands/results,
constraint/rewrite arguments, etc. This requires a bump in the
vscode extension to a newer version, as inlay hints are a new LSP feature.
Differential Revision: https://reviews.llvm.org/D126033
This commit beefs up the documentation for MLIR language servers by
adding proper documentations/examples/etc for the provided TableGen
language server capabilities. Given that this documentation is also used
for the vscode extension, this commit also updates the user facing vscode
extension documentation.
Note that the images referenced in the new documentation are hosted on
the website, and will be commited to mlir-www shortly after this commit
lands.
This commit beefs up the documentation for MLIR language servers by
adding proper documentations/examples/etc for the provided PDLL
language server capabilities. Given that this documentation is also used
for the vscode extension, this commit also updates the user facing vscode
extension documentation.
Not that the images referenced in the new documentation are hosted on
the website, and will be commited to mlir-www shortly after this commit
lands.
Differential Revision: https://reviews.llvm.org/D125650
This follows the same general structure of the MLIR and PDLL language
servers. This commits adds the basic functionality for setting up the server,
and initially only supports providing diagnostics. Followon commits will
build out more comprehensive behavior.
Realistically this should eventually live in llvm/, but building in MLIR is an easier
initial step given that:
* All of the necessary LSP functionality is already here
* It allows for proving out useful language features (e.g. compilation databases)
without affecting wider scale tablegen users
* MLIR has a vscode extension that can immediately take advantage of it
Differential Revision: https://reviews.llvm.org/D125440
Quite a few things were out-of-date, or just not
organized well. This revision updates the extension
name, repo, icon, and many other components in
preperation for publishing the extension to the
marketplace.
Move the OpDSL doc to a linalg sub folder and updated the integration in the main linalg documentation.
Differential Revision: https://reviews.llvm.org/D105188
Update the OpDSL documentation to reflect recent changes. In particular, the updated documentation discusses:
- Attributes used to parameterize index expressions
- Shape-only tensor support
- Scalar parameters
Differential Revision: https://reviews.llvm.org/D105123
When the vscode extension is published, it may be unclear how to contribute improvements to the extension. This revision makes it clear that contributions should follow the traditional LLVM guidelines.
This revision adds focused documentation on each of the individual features of the server, with images showcasing how they look in vscode.
Differential Revision: https://reviews.llvm.org/D103942
Fix inconsistent MLIR CMake variable names. Consistently name them as
MLIR_ENABLE_<feature>.
Eg: MLIR_CUDA_RUNNER_ENABLED -> MLIR_ENABLE_CUDA_RUNNER
MLIR follows (or has mostly followed) the convention of naming
cmake enabling variables in the from MLIR_ENABLE_... etc. Using a
convention here is easy and also important for convenience. A counter
pattern was started with variables named MLIR_..._ENABLED. This led to a
sequence of related counter patterns: MLIR_CUDA_RUNNER_ENABLED,
MLIR_ROCM_RUNNER_ENABLED, etc.. From a naming standpoint, the imperative
form is more meaningful. Additional discussion at:
https://llvm.discourse.group/t/mlir-cmake-enable-variable-naming-convention/3520
Switch all inconsistent ones to the ENABLE form. Keep the couple of old
mappings needed until buildbot config is migrated.
Differential Revision: https://reviews.llvm.org/D102976
This provides information when the user hovers over a part of the source .mlir file. This revision adds the following hover behavior:
* Operation:
- Shows the generic form.
* Operation Result:
- Shows the parent operation name, result number(s), and type(s).
* Block:
- Shows the parent operation name, block number, predecessors, and successors.
* Block Argument:
- Shows the parent operation name, parent block, argument number, and type.
Differential Revision: https://reviews.llvm.org/D101113
The patch extends the OpDSL with support for:
- Constant values
- Capture scalar parameters
- Access the iteration indices using the index operation
- Provide predefined floating point and integer types.
Up to now the patch only supports emitting the new nodes. The C++/yaml path is not fully implemented. The fill_rng_2d operation defined in emit_structured_generic.py makes use of the new DSL constructs.
Differential Revision: https://reviews.llvm.org/D101364
This covers some of the basic documentation, but is still missing some documentation/examples of features provided by the server. Feature documentation will be added in a followup.
Differential Revision: https://reviews.llvm.org/D100690
* Mostly imported from experimental repo as-is with cosmetic changes.
* Temporarily left out emission code (for building ops at runtime) to keep review size down.
* Documentation and lit tests added fresh.
* Sample op library that represents current Linalg named ops included.
Differential Revision: https://reviews.llvm.org/D97995
