Commit Graph

6 Commits (a153cf4ef26216590a95cad5d5600bbbd5e0dda5)

Author SHA1 Message Date
Sean Silva f168cacd6d Remove TCF and TCP.
These were legacy concepts that are now superceded by direct Torch to
linalg-on-tensors lowering. These were based on some very early thinking
related to the layering of frontends vs codegen, which is now obsolete
because:
- We expected a lot more centralization at the frontend (TCF) level. It
  turns out that frontend needs really vary a lot, and there is no grand
  unifying TCF dialect plausible. The additional layer isn't worth it.
- Linalg-on-tensors obsoletes the primary need for TCP. There are still
  a few things not representable with linalg-on-tensors, but the support
  is growing and the whole "not included in linalg-on-tensors" direction
  needs to be rethought. Our TCP dialect didn't cover any of the
  actually important things in this space (such as sort, FFT, top-k,
  etc.).

See historical [slides](https://drive.google.com/file/d/1iljcpTQ5NPaMfGpoPDFml1XkYxjK_6A4/view) / [recording](https://drive.google.com/file/d/1jSPa8TwPKUt0WuLquGc8OgSUVYJHMvWZ/view)
for more details on the origin story here.

Their presence was confusing users too
[bug](https://github.com/llvm/mlir-npcomp/issues/248).

Also,
- Trim down npcomp-run-mlir testing. It was testing TCF to TCP
  lowering for the most part. The essential stuff is retained and
  rephrased with linalg-on-tensors. (we should probably rename it
  "refback-run" or something, as it is just a way to invoke RefBackend)
- test/Python/Backend/RefJIT/simple_invoke_numpy.py is XFAIL'ed. Our
  "anti-framework" direction seems to be the likely future path.
2021-08-02 12:08:39 -07:00
Bryce Arden 4591884d06 [refbackrt] Scalar arg support
* Adds f32 scalar argument support across the ABI boundary.
* Adds support for passing input type / shape information
  across the ABI boundary
* Adds support for parsing / creating input FloatAttr's in
  `npcomp-run-mlir`
2021-03-23 13:16:44 -07:00
Sean Silva 276f5b80ea [RefE2E] Add assemblyFormat for TCF and TCP ops and tidy up. 2020-09-18 15:03:53 -07:00
Stella Laurenzo fc484d1bd8 Rework reference shape lowering based on upstream shape dialect changes.
* Primarily, the upstream shape dialect now uses tensor<?xindex> for non-erroring, immediate shape calculations (and will return this for shape_of of a tensor or memref).
* In addition, upstream passes do not yet exist for fully lowering to standard ops, so the passes here need to be extended to handle this new convention.
* This should be seen as an intermediate state, necessary to integrate a new LLVM version and needs more work and cleanup for generality.
* There is a good deal of awkwardness in these conversions. The hope is that additional upstream work will yield better defined conversion paths once out of this intermediate state.
2020-08-03 13:43:49 -07:00
Sean Silva 3f3dcad871 Make input file to npcomp-run-mlir be positional.
This makes command lines more succinct.
2020-07-13 16:02:19 -07:00
Sean Silva b4f0cea8fa Rework e2e flow to use new "npcomprt"
This ~totally reworks the existing "runtime" stuff to be more
principled and usable, such as from Python. It's still not fully
production-quality, mainly in the department of memory management (e.g.
it currently leaks memory; we need to figure out "who frees memrefs" +
the analysis and transformation needed to do that (maybe use upstream
buffer allocation pass?)).

The user API is in include/npcomp/runtime/UserAPI.h, though
include/npcomp/JITRuntime/JITModule.h is a friendlier wrapper.

The stuff under {include,lib}/runtime is totally firewalled from the
compiler and tiny (<6kB, though no attention has gone into optimizing
that size). For example, we don't link in libSupport into the runtime,
instead having our own bare bones replacements for basics like ArrayRef
(the JITRuntime helps with bridging that gap, since it *can* depend on
all common LLVM utilities).

The overall features of npcomprt is that it exposes a module that
with multiple function entry points. Each function has arguments and
results that are tensor-valued, and npcomprt::Tensor is the runtime type
that is used to interact with that (and a npcomprt::Ref<T>
reference-counting wrapper is provided to wrap npcomprt::Tensor in the
common case).

From an implementation perspective, an npcomprt module at the
LLVM/object/binary level exposes a single module descriptor struct that
has pointers to other metadata (currently just a list of function
metadata descriptors). All interactions with the npcomp runtime are
keyed off of that module descriptor, including function lookups and
dispatching. This is done to dodge platform ABI issues and also allow
enough reflection to e.g. verify provided arguments.

Most of the compiler-side work here was in LowerToNpcomprtABI and
LowerToLLVM.

Also,
- Rename npcomp_rt/NpcompRt to npcomprt/Npcomprt; it was getting
annoying to type the underscores/caps.
- misc improvements to bash_helpers.sh
2020-07-08 19:36:19 -07:00