colin
/
mlir-hlo
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Use OpConversionPattern instead of BufferizeOpConversionPattern 

As described in mlir/Transforms/Bufferize.h, patterns that don't need the special methods on a BufferizeTypeConverter should use a regular OpConversionPattern.

PiperOrigin-RevId: 338424819
This commit is contained in:
Sean Silva 2020-10-22 01:20:06 -07:00 committed by TensorFlow MLIR Team
parent 51684a3833
commit c3f4ab06d3
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
lib/Dialect/mhlo/transforms/hlo_legalize_to_lhlo.cc
View File

@ -42,7 +42,7 @@ namespace mhlo {
namespace { namespace {
template <typename T> template <typename T>
using BaseOpConversion = BufferizeOpConversionPattern<T>; using BaseOpConversion = OpConversionPattern<T>;
Value InsertDynamicAllocAndDealloc(Location loc, Value result, Value InsertDynamicAllocAndDealloc(Location loc, Value result,
Value shape_operand, Value shape_operand,
@ -623,7 +623,7 @@ void populateHLOToLHLOConversionPattern(MLIRContext* context,
HloToLhloReturnOpConverter, HloToLhloReturnOpConverter,
HloToLhloTensorLoadOpConverter, HloToLhloTensorLoadOpConverter,
HloToLhloTensorStoreOpConverter HloToLhloTensorStoreOpConverter
>(context, *converter); >(context);
// clang-format on // clang-format on
} }