Commit Graph

27 Commits (97d6d04d41216e73d40b89ffd79620973fc14ce3)

Author SHA1 Message Date
Sean Silva 97d6d04d41 Bump llvm-project to 16c6e9c58e9ae50a775945e6b407f1891f353d2f
Changes:
- linalg init tensor change (outs+init -> just outs)
- IntegerType::get and other builtin types now take the context as the
  first arg
- LLVMType::* is gone. Now LLVM Types are just regular Type's.
2021-01-05 16:12:11 -08:00
Sean Silva b2077738ca Bump llvm-project to 444822d77a7fea28aa49edf24533c987efa1b2ee
Fixes:
- renames StandardTypes -> BuiltinTypes
- std.extract_element -> tensor.extract
2020-12-11 14:43:38 -08:00
Stella Laurenzo 9e52f6235b More progress on PyTorch acap device capture.
* Now gets far enough to capture batch_norm.
* Has some issues still with in-place ops.
* Can materialize constants.
* Includes an upgrade to PyTorch nightly, which has important bug fixes for fallback and boxed kernel dispatch.
* Fixes #78, #79, #80.
* Will do more testing in a follow-up once further bugs are fixed that facilitate getting at the other features.
2020-10-15 21:43:21 -07:00
Stella Laurenzo af4edb63ae Start reworking towards a shared library build.
* Need to have a dag of shared library deps in order to interop across python extensions (as presented in ODM).
* Introduced add_npcomp_library and friends to mirror the MLIR setup.
* Adds a libNPCOMP.so shared library.
* Redirects tools and extensions to link against libNPCOMP.so (instead of static libs).
* Moves all libraries to lib/, all binaries to bin/ and all python extensions to python/. The invariant is that the rpaths are setup to have a one level directory structure.
* Reworks the _torch_mlir extension to build like the others (still need to come up with a consolidated rule to do this instead of open coded).
* Includes an upstream version bump to pick up needed changes.

Sizes with dynamic linking (stripped, release, asserts enabled):
  libNPCOMP.so: 43M (includes much of the underlying LLVM codegen deps)
  libMLIR.so: 31M
  _npcomp.so: 1.6M (python extension)
  _torch_mlir.so: 670K (python extension)
  npcomp-capi-ir-test: 6.3K
  npcomp-opt: 351K
  npcomp-run-mlir: 461K
  mnist-playground: 530K

Still more can be done to normalize and optimize but this gets us structurally to the starting point.
2020-10-09 16:02:58 -07:00
Marius Brehler d62f8227c2
Bump LLVM to @7d1ed69 and fix namespace handling changed upstream.
* Bump LLVM to llvm/llvm-project@7d1ed69
* Bump MLIR-HLO to tensorflow/mlir-hlo@1880f87
* Adopt to MLIR's changed namespace handling
2020-09-16 15:52:15 -07:00
Stella Laurenzo 97d83f786a Bump submodule versions.
* llvm-project: b5924a8e27536d19dd5c4d302db29fb6163d5faa
* mhlo: 848ca244d20f045b7921da55a98a04d95ef94f0e
* Multiple breakages that need to be fixed.

Fixes:
* Refactor dialect registration
* Remove all kindof methods (Casting functionality has been added upstream and is implicitly
available, see https://llvm.discourse.group/t/removing-kinds-from-attributes-and-types/1547.)
* Update dialect registration to comply with https://reviews.llvm.org/D85495.
* Remove type kinds and update some changed dialect signatures.
* Upgrade ATen dialect to match upstream needs.
  * Move dialect registration to tablegen.
  * Register the ListType in tablegen.
  * Change dialect initialization signature.
* Use TypeSwitch in MlirIr location printer.
* Remove global registry depends from npcomp-opt.
* Change LowerToLLVM to pass an MLIRContext vs an LLVMDialect for type creation.
* Remove dep on MLIREDSCInterface that is removed upstream.
* Thread through the DialectRegistry for opt and python-like tools.
* Modernize pass registration (This was forced because the GEN_PASS_REGISTRATION code now generates inline functions vs literal pass registration statements)

Co-authored-by: Marius Brehler <marius.brehler@iml.fraunhofer.de>
2020-09-08 13:26:42 -07:00
stephenneuendorffer 44af7a6d30
[cmake] Updates for basic shared library support (#7)
Mostly this is CMake cleanup.  Several library dependencies are missing, which
is often revealed with shared library builds.  Also, it's generally bad to
link directly against LLVM libraries because it fails when using
LLVM_LINK_LLVM_DYLIB.  MLIR will pull in libLLVM.so, and there will be
duplicate linkage with the the explicit libraries.  There may need to be more
refactoring here.
2020-08-05 14:49:18 -07:00
Stella Laurenzo efbcf0aa44 Add NumpyPublicFunctionsToTensor pass.
* Rewrites public function signatures to operate on tensors (vs ndarray).
* Most of our backends presume immutable tensors at public function boundaries.
2020-07-08 22:51:54 -07:00
Stella Laurenzo 5aa2f0f9f6 Add a trivial copy elision canonicalization on ndarray->tensor.
* This elides the very common code the compiler adds for chaining otherwise tensor-related numpy ops together.
* More aggressive canonicalizations would require more advanced analysis.
2020-07-05 18:09:43 -07:00
Stella Laurenzo 504e3c4946 Fixup local ndarray<->tensor transforms to preserve shape.
* Preserving shape across the copy ops makes more thing shaped by default.
* Inference of ndarray types will now preserve the shape when specializing the dtype.
2020-07-05 17:45:45 -07:00
Stella Laurenzo fae15ec5e7 Allow the ndarray type to carry a shape. 2020-07-05 17:34:03 -07:00
Stella Laurenzo 00c791f925 Make common utilities for converting TypeNode <-> IR types.
* Generalizes the conversions from ObjectValueType <-> tensor and ndarray.
* Creates a utility to construct the default type map hook.
2020-07-04 20:33:13 -07:00
Stella Laurenzo 97c92aa264 Remove the existing attached values/ops from CPA types.
This was ad-hoc and needs to be replaced by a more principled track back to the IR.
2020-07-04 17:47:19 -07:00
Stella Laurenzo 6a50efd046 Extend the CPA type inference to work on numpy types/ops.
* Adds an op interface for adding CPA constraints.
* Adds a type conversion hook for handling built-in types (that we can't have adopt our interface).
* Converts tensor<> to object(!Tensor, [e:<type>]) just like NdArray.
* Implement a few numpy ops far enough to do dtype inference for simple sequences.
2020-07-03 18:16:34 -07:00
Stella Laurenzo 34861b18f4 Add NdArray type inference conversion. 2020-07-03 16:38:10 -07:00
Stella Laurenzo 046751254f Refactor old tracing tests and remove deprecated ops.
* Old doctests to run under lit.
* Old custom filecheck tests -> pytest directory (under lit).
* Rename some old ufunc ops in the tracer.
2020-06-29 16:19:03 -07:00
Stella Laurenzo 7ca292ade5 Add partial evaluator for explicit numpy ufuncs.
* This enables emission of "numpy.add(a, b)" and several dozen others.
* Will deprecate original ufunc infra in a follow-on.
2020-06-29 15:27:39 -07:00
Stella Laurenzo efe8915901 Add NdArrayType. 2020-06-28 17:37:20 -07:00
Stella Laurenzo 432e01fe8f Move Basicpy and Numpy dialect IR to IR/ folder. 2020-06-09 19:22:24 -07:00
Sean Silva cd7258dbd4 Enable warnings by default.
The secret here is LLVM_ENABLE_WARNINGS=ON.

I also fixed a couple warnings, which gets us to be warning-clean.

I noticed also that npcomp-run-mlir/basic.mlir seems to be failing.
Maybe something since the latest integrate. My next commit (introduce
npcomp mini runtime) will largely rewrite it though, so it'll get fixed
then.
2020-06-03 20:39:34 -07:00
Stella Laurenzo 950ba12426 Bump llvm-project to 3af85fa8f06220b43f03f26de216a67be4568fe7. 2020-05-08 20:42:40 -07:00
Stella Laurenzo a91b0bfbe1 Add numpy.get_slice op and wire it up to the tracer. 2020-05-08 16:04:58 -07:00
Stella Laurenzo d3632af675 Add !numpy.any_dtype dialect type. 2020-04-29 18:20:42 -07:00
Stella Laurenzo c4a192d5c9 Rename from npcomp::NUMPY to NPCOMP::numpy to follow IREE convention. 2020-04-29 17:10:10 -07:00
Stella Laurenzo e845db8a20 Add builtin_ufunc and generic_ufunc ops. 2020-04-28 23:51:54 -07:00
Stella Laurenzo 953ef89a30 Add npcomp-opt and lit runner. 2020-04-26 17:55:15 -07:00
Stella Laurenzo d3b6e1767a Add stub numpy dialect. 2020-04-26 17:20:58 -07:00