6 Commits

Author SHA1 Message Date
Krzysztof Drewniak
51b65d0895 [mlir][AMDGPU] Improve BF16 handling through AMDGPU compilation
Many previous sets of AMDGPU dialect code have been incorrect in the
presence of the bf16 type (when lowered to LLVM's bfloat) as they were
developed in a setting that run a custom bf16-to-i16 pass before LLVM
lowering.

An overall effect of this patch is that you should run
--arith-emulate-unsupported-floats="source-types=bf16 target-type=f32"
on your GPU module before calling --convert-gpu-to-rocdl if your code
performs bf16 arithmetic.

While LLVM now supports software bfloat, initial experiments showed
that using this support on AMDGPU inserted a large number of
conversions around loads and stores which had substantial performance
imparts. Furthermore, all of the native AMDGPU operations on bf16
types (like the WMMA operations) operate on 16-bit integers instead of
the bfloat type.

First, we make the following changes to preserve compatibility once
the LLVM bfloat type is reenabled.
1. The matrix multiplication operations (MFMA and WMMA) will bitcast
bfloat vectors to i16 vectors.
2. Buffer loads and stores will operate on the relevant integer
datatype and then cast to bfloat if needed.

Second, we add type conversions to convert bf16 and vectors of it to
equivalent i16 types.

Third, we add the bfloat <-> f32 expansion patterns to the set of
operations run before the main LLVM conversion so that MLIR's
implementation of these conversion routines is used.

Finally, we extend the "floats treated as integers" support in the
LLVM exporter to handle types other than fp8.

We also fix a bug in the unsupported floats emulation where it tried
to operate on `arith.bitcast` due to an oversight.

Reviewed By: rsuderman

Differential Revision: https://reviews.llvm.org/D156361
2023-08-17 18:31:28 +00:00
Matthias Springer
ce254598b7 [mlir][Conversion] Store const type converter in ConversionPattern
ConversionPatterns do not (and should not) modify the type converter that they are using.

* Make `ConversionPattern::typeConverter` const.
* Make member functions of the `LLVMTypeConverter` const.
* Conversion patterns take a const type converter.
* Various helper functions (that are called from patterns) now also take a const type converter.

Differential Revision: https://reviews.llvm.org/D157601
2023-08-14 09:03:11 +02:00
Krzysztof Drewniak
636f772871 [mlir][Arith] Make previous load-bearing assert into a real error
When I landed the EmulateUnsupportedFloats, I'd negligently included
an assert that needed to run for the pass to be correct. Previous
emergency fix commits removed the assert. This commit re-adds the
"can't happen" testing as an emitOpError() and aborting the rewrite,
thus allowing it to function in no-assertions builds.

Reviewed By: kuhar

Differential Revision: https://reviews.llvm.org/D155088
2023-07-13 14:49:29 +00:00
Sterling Augustine
5f4d96ebef Don't to real work inside an assertion.
asserts get compiled to empty when built in opt mode, so that makes
certain tests fail, such as emulate-unsupported-floats.mlir.test.

This removes the assert altogether, which is also suboptimal, but
I have reported to the original author.
2023-07-11 17:44:58 -07:00
Sterling Augustine
5671f02304 Fix unused variable warning. 2023-07-11 14:54:29 -07:00
Krzysztof Drewniak
10b56e0210 [mlir][Arith] Add pass for emulating unsupported float ops (#1079)
To complement the bf16 expansion and truncation patterns added to
ExpandOps, define a pass that replaces, for any arithmetic operation
op,
%y = arith.op %v0, %v1, ... : T
with
%e0 = arith.expf %v0 : T to U
%e1 = arith.expf %v1 : T to U
...
%y.exp = arith.op %e0, %e1, ... : U
%y = arith.truncf %y.exp : U to T

This allows for "emulating" floating-point operations not supported on
a given target (such as bfloat operations or most arithmetic on 8-bit
floats) by extending those types to supported ones, performing the
arithmetic operation, and then truncating back to the original
type (which ensures appropriate rounding behavior).

The lowering of the extf and truncf ops introduced by this
transformation should be handled by subsequent passes.

Reviewed By: rsuderman

Differential Revision: https://reviews.llvm.org/D154539
2023-07-11 20:32:35 +00:00