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huge refactor for high RewritePatterns usage and less ad-hoc cpp code
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remove Spatial many ops in favor of tensor ops like in pim
This commit is contained in:
NiccoloN
2026-05-12 10:35:44 +02:00
parent feaff820e1
commit 909c4acfdd
84 changed files with 4048 additions and 3310 deletions
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src/PIM/Conversion/ONNXToSpatial/Patterns/NN/Pool.cpp
+4 -4
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@@ -31,8 +31,8 @@ static int64_t getOptionalI64(std::optional<ArrayAttrT> arrayAttr, size_t index,
}
template <typename PoolOp>
static FailureOr<Value>
concatAlongAxis(ConversionPatternRewriter& rewriter, Location loc, PoolOp poolOp, int64_t axis, ArrayRef<Value> values) {
static FailureOr<Value> concatAlongAxis(
ConversionPatternRewriter& rewriter, Location loc, PoolOp poolOp, int64_t axis, ArrayRef<Value> values) {
if (values.empty()) {
poolOp.emitOpError("failed to build pooled output because an intermediate concatenation input list was empty");
return failure();
@@ -68,8 +68,8 @@ reduceWindowValues(ConversionPatternRewriter& rewriter, Location loc, Operation*
return reduced;
}
static FailureOr<Value>
scaleAverageWindow(ConversionPatternRewriter& rewriter, Location loc, Operation* op, Value reducedWindow, int64_t divisor) {
static FailureOr<Value> scaleAverageWindow(
ConversionPatternRewriter& rewriter, Location loc, Operation* op, Value reducedWindow, int64_t divisor) {
if (divisor <= 0) {
op->emitOpError("AveragePool divisor must be positive");
return failure();