Commit Graph

53 Commits

Author SHA1 Message Date
Mahesh Ravishankar ea56025f1e Initial implementation to translate kernel fn in GPU Dialect to SPIR-V Dialect
This CL adds an initial implementation for translation of kernel
function in GPU Dialect (used with a gpu.launch_kernel) op to a
spv.Module. The original function is translated into an entry
function.
Most of the heavy lifting is done by adding TypeConversion and other
utility functions/classes that provide most of the functionality to
translate from Standard Dialect to SPIR-V Dialect. These are intended
to be reusable in implementation of different dialect conversion
pipelines.
Note : Some of the files for have been renamed to be consistent with
the norm used by the other Conversion frameworks.
PiperOrigin-RevId: 260759165
2019-07-30 11:55:55 -07:00
Alex Zinenko 60965b4612 Move GPU dialect to {lib,include/mlir}/Dialect
Per tacit agreement, individual dialects should now live in lib/Dialect/Name
with headers in include/mlir/Dialect/Name and tests in test/Dialect/Name.

PiperOrigin-RevId: 259896851
2019-07-25 00:41:17 -07:00
Mahesh Ravishankar 2ad92b6e50 Add a utility function to populate StdOp to SPIRV Conversion Patterns
The function populateStdOpsToSPIRVPatterns appends the conversion
patterns automatically generated from StdOpsToSPIRVConversion.td to a
list of patterns

PiperOrigin-RevId: 259677890
2019-07-23 22:38:51 -07:00
MLIR Team 8cb82c9478 Add sitofp to the standard dialect
Conversion from integers (window or input size, padding etc) to floating point is required to express many ML kernels, for example average pooling.

PiperOrigin-RevId: 259575284
2019-07-23 11:23:40 -07:00
River Riddle 3edbd8bf80 NFC: Update the LoopToStd conversion patterns to use RewritePattern instead of ConversionPattern.
These patterns don't require type changes so they don't need to be using ConversionPattern.

PiperOrigin-RevId: 259393151
2019-07-22 13:22:49 -07:00
River Riddle 00bdc8e070 Refactor region type signature conversion to be explicit via patterns.
This cl enforces that the conversion of the type signatures for regions, and thus their entry blocks, is handled via ConversionPatterns. A new hook 'applySignatureConversion' is added to the ConversionPatternRewriter to perform the desired conversion on a region. This also means that the handling of rewriting the signature of a FuncOp is moved to a pattern. A default implementation is provided via 'mlir::populateFuncOpTypeConversionPattern'. This removes the hacky implicit 'dynamically legal' status of FuncOp that was present previously, and leaves it up to the user to decide when/how to convert the signature of a function.

PiperOrigin-RevId: 259161999
2019-07-20 19:06:07 -07:00
Lei Zhang 9291868960 Place generated StandardOps to SPIR-V patterns in anonymous namespace
This avoids polluting the mlir namespace.

PiperOrigin-RevId: 258826497
2019-07-19 11:40:06 -07:00
River Riddle 8b447b6cad NFC: Expose a ConversionPatternRewriter for use with ConversionPatterns.
This specific PatternRewriter will allow for exposing hooks in the future that are only useful for the conversion framework, e.g. type conversions.

PiperOrigin-RevId: 258818122
2019-07-19 11:40:00 -07:00
River Riddle 9e3c2650d2 Refactor the conversion of block argument types in DialectConversion.
This cl begins a large refactoring over how signature types are converted in the DialectConversion infrastructure. The signatures of blocks are now converted on-demand when an operation held by that block is being converted. This allows for handling the case where a region is created as part of a pattern, something that wasn't possible previously.

This cl also generalizes the region signature conversion used by FuncOp to work on any region of any operation. This generalization allows for removing the 'apply*Conversion' functions that were specific to FuncOp/ModuleOp. The implementation currently uses a new hook on TypeConverter, 'convertRegionSignature', but this should ideally be removed in favor of using Patterns. That depends on adding support to the PatternRewriter used by ConversionPattern to allow applying signature conversions to regions, which should be coming in a followup.

PiperOrigin-RevId: 258645733
2019-07-19 11:38:45 -07:00
Nicolas Vasilache 0002e2964d Move affine.for and affine.if to ODS
As the move to ODS is made, body and region names across affine and loop dialects are uniformized.

PiperOrigin-RevId: 258416590
2019-07-16 13:45:47 -07:00
River Riddle 2b9855b5b4 Refactor DialectConversion to support different conversion modes.
Users generally want several different modes of conversion. This cl refactors DialectConversion to provide two:
* Partial (applyPartialConversion)
  - This mode allows for illegal operations to exist in the IR, and does not fail if an operation fails to be legalized.

* Full (applyFullConversion)
  - This mode fails if any operation is not properly legalized to the conversion target. This allows for ensuring that the IR after a conversion only contains operations legal for the target.

PiperOrigin-RevId: 258412243
2019-07-16 13:45:41 -07:00
Lei Zhang d36dd94c75 NFC: Move SPIR-V dialect to Dialect/ subdirectory
PiperOrigin-RevId: 258345603
2019-07-16 13:45:09 -07:00
Nicolas Vasilache e78ea03b24 Replace linalg.for by loop.for
With the introduction of the Loop dialect, uses of the `linalg.for` operation can now be subsumed 1-to-1 by `loop.for`.
This CL performs the replacement and tests are updated accordingly.

PiperOrigin-RevId: 258322565
2019-07-16 13:44:57 -07:00
River Riddle 2087bf6386 Remove lowerAffineConstructs and lowerControlFlow in favor of providing patterns.
These methods don't compose well with the rest of conversion framework, and create artificial breaks in conversion. Replace these methods with two(populateAffineToStdConversionPatterns and populateLoopToStdConversionPatterns respectively) that populate a list of patterns to perform the same behavior.

PiperOrigin-RevId: 258219277
2019-07-16 13:44:45 -07:00
Alex Zinenko ec82e1c907 Decouple LLVM dialect from Standard dialect
Due to the absence of ODS support for enum attributes, the implementation of
the LLVM dialect `icmp` operation was reusing the comparison predicate from the
Standard dialect, creating an avoidable library dependency.  With ODS support
and ICmpPredicate attribute recently introduced, the dependency is no longer
justified.  Update the Standard to LLVM convresion to also convert the
CmpIPredicate into LLVM::ICmpPredicate and remove the unnecessary includes.

Note that the MLIRLLVMIR library did not explicitly depend on MLIRStandardOps,
requiring dependees of MLIRLLVMIR to also depend on MLIRStandardOps, which
should no longer be the case.

PiperOrigin-RevId: 258148456
2019-07-16 13:43:31 -07:00
Nicolas Vasilache cca53e8527 Extract std.for std.if and std.terminator in their own dialect
These ops should not belong to the std dialect.
This CL extracts them in their own dialect and updates the corresponding conversions and tests.

PiperOrigin-RevId: 258123853
2019-07-16 13:43:18 -07:00
River Riddle 8e349a48b6 Remove the 'region' field from OpBuilder.
This field wasn't updated as the insertion point changed, making it potentially dangerous given the multi-level of MLIR(e.g. 'createBlock' would always insert the new block in 'region'). This also allows for building an OpBuilder with just a context.

PiperOrigin-RevId: 257829135
2019-07-12 17:42:41 -07:00
Nicolas Vasilache cab671d166 Lower affine control flow to std control flow to LLVM dialect
This CL splits the lowering of affine to LLVM into 2 parts:
1. affine -> std
2. std -> LLVM

The conversions mostly consists of splitting concerns between the affine and non-affine worlds from existing conversions.
Short-circuiting of affine `if` conditions was never tested or exercised and is removed in the process, it can be reintroduced later if needed.

LoopParametricTiling.cpp is updated to reflect the newly added ForOp::build.

PiperOrigin-RevId: 257794436
2019-07-12 08:44:28 -07:00
Alex Zinenko 2178467dca LoopsToGPU: use PassRegistration with constructor
PassRegistration with an optional constructor was introduced after the
LoopsToGPUPass, which resorted to deriving one pass from another as a means of
accepting options supplied as command-line arguments. Use PassRegistration with
constructor instead of defining a derived pass for LoopsToGPU.  Also rename the
pass to better reflect its current nature.

PiperOrigin-RevId: 257786923
2019-07-12 08:44:14 -07:00
River Riddle 9dbef0bf96 Rename FunctionAttr to SymbolRefAttr.
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
2019-07-12 08:43:42 -07:00
River Riddle 6da343ecfc NFC: Replace Module::getNamedFunction with lookupSymbol<FuncOp>.
This allows for removing the last direct reference to FuncOp from ModuleOp.

PiperOrigin-RevId: 257498296
2019-07-12 08:43:03 -07:00
River Riddle b3e28fca53 NFC: Remove Function::getModule.
There is already a more general 'getParentOfType' method, and 'getModule' is likely to be misused as functions get placed within different regions than ModuleOp.

PiperOrigin-RevId: 257442243
2019-07-12 08:42:21 -07:00
River Riddle fec20e590f NFC: Rename Module to ModuleOp.
Module is a legacy name that only exists as a typedef of ModuleOp.

PiperOrigin-RevId: 257427248
2019-07-10 10:11:21 -07:00
River Riddle 6b6dc59f30 Update ModuleOp::create(...) to take a Location instead of a context.
This allows for giving a Module a more interesting location than 'Unknown'.

PiperOrigin-RevId: 257310117
2019-07-10 10:11:00 -07:00
River Riddle 8c44367891 NFC: Rename Function to FuncOp.
PiperOrigin-RevId: 257293379
2019-07-10 10:10:53 -07:00
Alex Zinenko 80e2871087 Extend AffineToGPU to support Linalg loops
Extend the utility that converts affine loop nests to support other types of
loops by abstracting away common behavior through templates.  This also
slightly simplifies the existing Affine to GPU conversion by always passing in
the loop step as an additional kernel argument even though it is a known
constant.  If it is used, it will be propagated into the loop body by the
existing canonicalization pattern and can be further constant-folded, otherwise
it will be dropped by canonicalization.

This prepares for the common loop abstraction that will be used for converting
to GPU kernels, which is conceptually close to Linalg loops, while maintaining
the existing conversion operational.

PiperOrigin-RevId: 257172216
2019-07-09 05:26:50 -07:00
River Riddle 626b8b6a5d NFC: Remove `Module::getFunctions` in favor of a general `getOps<T>`.
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
2019-07-08 18:28:17 -07:00
Lei Zhang 891a7911c2 Add dependencies for standard ops to SPIR-V conversion
PiperOrigin-RevId: 257026374
2019-07-08 12:40:21 -07:00
River Riddle ce502af9cd NFC: Remove the various "::getFunction" methods.
These methods assume that a function is a valid builtin top-level operation, and removing these methods allows for decoupling FuncOp and IR/. Utility "getParentOfType" methods have been added to Operation/OpState to allow for querying the first parent operation of a given type.

PiperOrigin-RevId: 257018913
2019-07-08 12:40:08 -07:00
Stephan Herhut e8b21a75f8 Add an mlir-cuda-runner tool.
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
2019-07-04 07:53:54 -07:00
Stephan Herhut 1bcaa3185d Add missing mlir:: namespace in definition of createConvertToLLVMIRPass.
PiperOrigin-RevId: 256546769
2019-07-04 07:53:31 -07:00
Alex Zinenko 9a1b6fec79 Make ConvertStandardToLLVMPass extendable with other patterns
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
2019-07-04 07:53:19 -07:00
Lei Zhang 0782b37936 NFC: Move Standard to SPIR-V conversion to lib/Conversion
PiperOrigin-RevId: 256271759
2019-07-03 14:35:42 -07:00
River Riddle 206e55cc16 NFC: Refactor Module to be value typed.
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
2019-07-02 16:43:36 -07:00
River Riddle 54cd6a7e97 NFC: Refactor Function to be value typed.
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
2019-07-01 11:39:00 -07:00
Alex Zinenko d046b2ddec Expose AffineToGPUPass for use with PassManager
Originally, AffineToGPUPass was created and registered in the source file
mainly for testing purposes.  Provide a factory function that constructs
AffineToGPU pass to make it usable in pass pipelines.

PiperOrigin-RevId: 255902831
2019-07-01 09:55:24 -07:00
Stephan Herhut 630119f84f Add a pass that inserts getters for all cubins found via nvvm.cubin
annotations.

Getters are required as there are currently no global constants in MLIR and this
is an easy way to unblock CUDA execution while waiting for those.

PiperOrigin-RevId: 255169002
2019-06-26 05:33:11 -07:00
Stephan Herhut c72c6c3907 Make GPU to CUDA transformations independent of CUDA runtime.
The actual transformation from PTX source to a CUDA binary is now factored out,
enabling compiling and testing the transformations independently of a CUDA
runtime.

MLIR has still to be built with NVPTX target support for the conversions to be
built and tested.

PiperOrigin-RevId: 255167139
2019-06-26 05:16:37 -07:00
River Riddle a4c3a6455c Move the emitError/Warning/Remark utility methods out of MLIRContext and 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
2019-06-25 21:32:23 -07:00
Alex Zinenko 2628641b23 GPUtoNVVM: adjust integer bitwidth when lowering special register ops
GPU dialect operations (launch and launch_func) use `index` type for thread and
block index values inside the kernel, for compatibility with affine loops.
NVVM dialect operations, following the NVVM intrinsics, use `!llvm.i32` type,
which does not necessarily have the same bit width as the lowered `index` type.
Optionally sign-extend (indices are signed) or truncate the result of the NVVM
dialect operation to the bit width of the lowered `index` type before passing
it to other operations.  This behavior is consistent with `std.index_cast`.  We
cannot use the latter since we are targeting LLVM dialect types directly,
rather than standard integer types.

PiperOrigin-RevId: 254980868
2019-06-25 09:21:26 -07:00
Stephan Herhut 10f320f7c0 Add gpu::GPUDialect::isKernel helper.
Also some mild cleanup of the kernel to cubin conversion pass.

PiperOrigin-RevId: 254959303
2019-06-25 09:20:40 -07:00
Alex Zinenko f35d0c8570 NVVM target: emit nvvm.annotations for kernel functions
PTX backend in LLVM expects additional module-level metadata
`!nvvm.annotations` that lists functions that can be used as GPU kernels.
Generate this metadata based on the `gpu.kernel` attribute attached to
functions.  This attribute is added automatically by the kernel outlining pass
in the GPU dialect lowering flow.

PiperOrigin-RevId: 254957345
2019-06-25 09:19:27 -07:00
River Riddle 9764ae3f24 Refactor the TypeConverter to support more robust type conversions:
* Support for 1->0 type mappings, i.e. when the argument is being removed.
* Reordering types when converting a type signature.
* Adding new inputs when converting a type signature.

This cl also lays down the initial foundation for supporting 1->N type mappings, but full support will come in a followup.

Moving forward, function signature changes will be driven by populating a SignatureConversion instance. This class contains all of the necessary information for adding/removing/remapping function signatures; e.g. addInputs, addResults, remapInputs, etc.

PiperOrigin-RevId: 254064665
2019-06-19 23:08:33 -07:00
Stephan Herhut 9d81081d90 Add a pass that translates GPU.launch_func into a series of runtime calls.
This does not map the calls to the CUDA libary directly but uses a slim wrapper
ABI on top that has more convenient types for code generation and is stable. Such
ABI is expected to be provided by the actual runner.

PiperOrigin-RevId: 253983833
2019-06-19 23:07:43 -07:00
Alex Zinenko 14e2f4a22b Fix GPUToNVVM naming: NNVM should have been NVVM
Rename `createLowerGpuOpsToNNVMOpsPass` to `createLowerGpuOpsToNVVMOpsPass`.

PiperOrigin-RevId: 253801577
2019-06-19 23:06:36 -07:00
Alex Zinenko b9beff0384 Make examples/Linalg3 depend on the new standard to LLVM conversion library.
PiperOrigin-RevId: 253767820
2019-06-19 23:05:57 -07:00
Stephan Herhut e0596a4d63 Use llvm::StringSwitch in lowering of GPU ops to NVVM ops.
PiperOrigin-RevId: 253767688
2019-06-19 23:05:48 -07:00
Stephan Herhut 893374bfa2 Add a pass that translates a CUDA kernel function (tagged with nvvm.kernel) to
a CUBIN blob for execution on CUDA GPUs.

This is a first in a series of patches to build a simple CUDA runner to allow
experimenting with MLIR code on GPUs.

PiperOrigin-RevId: 253758915
2019-06-19 23:05:37 -07:00
Alex Zinenko f218519cc2 Introduce std.index_cast and its lowering+translation to LLVM
Index types integers of platform-specific bit width.  They are used to index
memrefs and as loop induction variables, however they could not be obtained
from an integer until now, making it virtually impossible to express indirect
accesses (given that memrefs of indices are not allowed) or data-dependent
loops.  Introduce `std.index_cast` to transform indices into integers and vice
versa.  The semantics of this cast is to sign-extend when casting to a wider
integer, and to truncate when casting to a narrower integer.  It belongs to
StandardOps because both types it operates on are standard types, and because
its results are likely to be used in std.load and std.store.

Introduce llvm.sext, llvm.zext and llvm.trunc operations to the LLVM dialect.
Provide the conversion of `std.index_cast` to llvm.sext or llvm.trunc,
depending on the actual bitwidth of `index` known during the conversion.

PiperOrigin-RevId: 253624100
2019-06-19 23:04:01 -07:00
Alex Zinenko 4291ae7431 Factor Region::getUsedValuesDefinedAbove into Transforms/RegionUtils
Arguably, this function is only useful for transformations and should not
pollute the main IR.  Also make sure it accepts a the resulting container
by-reference instead of returning it.

PiperOrigin-RevId: 253622981
2019-06-19 23:03:51 -07:00