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[mlir][vector] Add more tests for ConvertVectorToLLVM (1/n) #101936
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banach-space
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Aug 8, 2024
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[mlir][vector] Add more tests for ConvertVectorToLLVM (1/n) #101936
banach-space
merged 2 commits into
llvm:main
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banach-space:andrzej/extend_vector_to_llvm_test
Aug 8, 2024
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@llvm/pr-subscribers-mlir-vector @llvm/pr-subscribers-mlir Author: Andrzej Warzyński (banach-space) Changes
Patch is 27.91 KiB, truncated to 20.00 KiB below, full version: https://github.com/llvm/llvm-project/pull/101936.diff 6 Files Affected:
diff --git a/mlir/include/mlir/Dialect/Vector/IR/VectorOps.h b/mlir/include/mlir/Dialect/Vector/IR/VectorOps.h
index ac55433fadb2f..9f61f7c866d3d 100644
--- a/mlir/include/mlir/Dialect/Vector/IR/VectorOps.h
+++ b/mlir/include/mlir/Dialect/Vector/IR/VectorOps.h
@@ -68,9 +68,13 @@ enum class BroadcastableToResult {
DimensionMismatch = 2,
SourceTypeNotAVector = 3
};
+struct VectorDim {
+ int64_t dim;
+ bool scalableFlag;
+};
BroadcastableToResult
isBroadcastableTo(Type srcType, VectorType dstVectorType,
- std::pair<int, int> *mismatchingDims = nullptr);
+ std::pair<VectorDim, VectorDim> *mismatchingDims = nullptr);
/// Collect a set of vector-to-vector canonicalization patterns.
void populateVectorToVectorCanonicalizationPatterns(RewritePatternSet &patterns,
diff --git a/mlir/include/mlir/Dialect/Vector/IR/VectorOps.td b/mlir/include/mlir/Dialect/Vector/IR/VectorOps.td
index 434ff3956c250..08bff3d5e1382 100644
--- a/mlir/include/mlir/Dialect/Vector/IR/VectorOps.td
+++ b/mlir/include/mlir/Dialect/Vector/IR/VectorOps.td
@@ -367,6 +367,8 @@ def Vector_BroadcastOp :
s_1 x .. x s_j x .. x s_k
<duplication> <potential stretch>
```
+ * a scalable unit dimeension, `[1]`, must match exactly.
+
The source operand is duplicated over all the missing leading dimensions
and stretched over the trailing dimensions where the source has a non-equal
dimension of 1. These rules imply that any scalar broadcast (k=0) to any
diff --git a/mlir/lib/Dialect/Vector/IR/VectorOps.cpp b/mlir/lib/Dialect/Vector/IR/VectorOps.cpp
index 5047bd925d4c5..673c128932893 100644
--- a/mlir/lib/Dialect/Vector/IR/VectorOps.cpp
+++ b/mlir/lib/Dialect/Vector/IR/VectorOps.cpp
@@ -2371,9 +2371,9 @@ Value BroadcastOp::createOrFoldBroadcastOp(
return res;
}
-BroadcastableToResult
-mlir::vector::isBroadcastableTo(Type srcType, VectorType dstVectorType,
- std::pair<int, int> *mismatchingDims) {
+BroadcastableToResult mlir::vector::isBroadcastableTo(
+ Type srcType, VectorType dstVectorType,
+ std::pair<VectorDim, VectorDim> *mismatchingDims) {
// Broadcast scalar to vector of the same element type.
if (srcType.isIntOrIndexOrFloat() && dstVectorType &&
getElementTypeOrSelf(srcType) == getElementTypeOrSelf(dstVectorType))
@@ -2391,12 +2391,28 @@ mlir::vector::isBroadcastableTo(Type srcType, VectorType dstVectorType,
// (all leading dimensions are simply duplicated).
int64_t lead = dstRank - srcRank;
for (int64_t r = 0; r < srcRank; ++r) {
+ bool mismatch = false;
+
+ // Check fixed-width dims
int64_t srcDim = srcVectorType.getDimSize(r);
int64_t dstDim = dstVectorType.getDimSize(lead + r);
- if (srcDim != 1 && srcDim != dstDim) {
+ if ((srcDim != 1 && srcDim != dstDim))
+ mismatch = true;
+
+ // Check scalable flags
+ bool srcDimScalableFlag = srcVectorType.getScalableDims()[r];
+ bool dstDimScalableFlag = dstVectorType.getScalableDims()[lead + r];
+ if ((srcDim == 1 && srcDimScalableFlag && dstDim != 1) ||
+ (srcDimScalableFlag && !dstDimScalableFlag))
+ mismatch = true;
+
+ if (mismatch) {
if (mismatchingDims) {
- mismatchingDims->first = srcDim;
- mismatchingDims->second = dstDim;
+ mismatchingDims->first.dim = srcDim;
+ mismatchingDims->first.scalableFlag = srcDimScalableFlag;
+
+ mismatchingDims->second.dim = dstDim;
+ mismatchingDims->second.scalableFlag = dstDimScalableFlag;
}
return BroadcastableToResult::DimensionMismatch;
}
@@ -2406,16 +2422,25 @@ mlir::vector::isBroadcastableTo(Type srcType, VectorType dstVectorType,
}
LogicalResult BroadcastOp::verify() {
- std::pair<int, int> mismatchingDims;
+ std::pair<VectorDim, VectorDim> mismatchingDims;
BroadcastableToResult res = isBroadcastableTo(
getSourceType(), getResultVectorType(), &mismatchingDims);
if (res == BroadcastableToResult::Success)
return success();
if (res == BroadcastableToResult::SourceRankHigher)
return emitOpError("source rank higher than destination rank");
- if (res == BroadcastableToResult::DimensionMismatch)
- return emitOpError("dimension mismatch (")
- << mismatchingDims.first << " vs. " << mismatchingDims.second << ")";
+ if (res == BroadcastableToResult::DimensionMismatch) {
+ std::string msg =
+ (Twine("dimension mismatch (") +
+ (mismatchingDims.first.scalableFlag ? "[" : "") +
+ std::to_string(mismatchingDims.first.dim) +
+ (mismatchingDims.first.scalableFlag ? "]" : "") + " vs. " +
+ (mismatchingDims.second.scalableFlag ? "[" : "") +
+ std::to_string(mismatchingDims.second.dim) +
+ (mismatchingDims.second.scalableFlag ? "]" : "") + ")")
+ .str();
+ return emitOpError(msg);
+ }
if (res == BroadcastableToResult::SourceTypeNotAVector)
return emitOpError("source type is not a vector");
llvm_unreachable("unexpected vector.broadcast op error");
diff --git a/mlir/lib/Dialect/Vector/Transforms/LowerVectorBroadcast.cpp b/mlir/lib/Dialect/Vector/Transforms/LowerVectorBroadcast.cpp
index 32e7eb27f5e29..6c36bbaee8523 100644
--- a/mlir/lib/Dialect/Vector/Transforms/LowerVectorBroadcast.cpp
+++ b/mlir/lib/Dialect/Vector/Transforms/LowerVectorBroadcast.cpp
@@ -125,7 +125,8 @@ class BroadcastOpLowering : public OpRewritePattern<vector::BroadcastOp> {
// ..
// %x = [%a,%b,%c,%d]
VectorType resType =
- VectorType::get(dstType.getShape().drop_front(), eltType);
+ VectorType::get(dstType.getShape().drop_front(), eltType,
+ dstType.getScalableDims().drop_front());
Value result = rewriter.create<arith::ConstantOp>(
loc, dstType, rewriter.getZeroAttr(dstType));
if (m == 0) {
@@ -136,6 +137,10 @@ class BroadcastOpLowering : public OpRewritePattern<vector::BroadcastOp> {
result = rewriter.create<vector::InsertOp>(loc, bcst, result, d);
} else {
// Stetch not at start.
+ if (dstType.getScalableDims()[0]) {
+ // TODO: For scalable vectors we should emit an scf.for loop.
+ return failure();
+ }
for (int64_t d = 0, dim = dstType.getDimSize(0); d < dim; ++d) {
Value ext = rewriter.create<vector::ExtractOp>(loc, op.getSource(), d);
Value bcst = rewriter.create<vector::BroadcastOp>(loc, resType, ext);
diff --git a/mlir/test/Conversion/VectorToLLVM/vector-to-llvm.mlir b/mlir/test/Conversion/VectorToLLVM/vector-to-llvm.mlir
index c310954b906e4..40f5fd9baadab 100644
--- a/mlir/test/Conversion/VectorToLLVM/vector-to-llvm.mlir
+++ b/mlir/test/Conversion/VectorToLLVM/vector-to-llvm.mlir
@@ -23,6 +23,15 @@ func.func @bitcast_f32_to_i32_vector(%input: vector<16xf32>) -> vector<16xi32> {
// CHECK-SAME: %[[input:.*]]: vector<16xf32>
// CHECK: llvm.bitcast %[[input]] : vector<16xf32> to vector<16xi32>
+func.func @bitcast_f32_to_i32_vector_scalable(%input: vector<[16]xf32>) -> vector<[16]xi32> {
+ %0 = vector.bitcast %input : vector<[16]xf32> to vector<[16]xi32>
+ return %0 : vector<[16]xi32>
+}
+
+// CHECK-LABEL: @bitcast_f32_to_i32_scalable_vector
+// CHECK-SAME: %[[input:.*]]: vector<[16]xf32>
+// CHECK: llvm.bitcast %[[input]] : vector<[16]xf32> to vector<[16]xi32>
+
// -----
func.func @bitcast_i8_to_f32_vector(%input: vector<64xi8>) -> vector<16xf32> {
@@ -34,6 +43,15 @@ func.func @bitcast_i8_to_f32_vector(%input: vector<64xi8>) -> vector<16xf32> {
// CHECK-SAME: %[[input:.*]]: vector<64xi8>
// CHECK: llvm.bitcast %[[input]] : vector<64xi8> to vector<16xf32>
+func.func @bitcast_i8_to_f32_vector_scalable(%input: vector<[64]xi8>) -> vector<[16]xf32> {
+ %0 = vector.bitcast %input : vector<[64]xi8> to vector<[16]xf32>
+ return %0 : vector<[16]xf32>
+}
+
+// CHECK-LABEL: @bitcast_i8_to_f32_scalable_vector
+// CHECK-SAME: %[[input:.*]]: vector<[64]xi8>
+// CHECK: llvm.bitcast %[[input]] : vector<[64]xi8> to vector<[16]xf32>
+
// -----
func.func @bitcast_index_to_i8_vector(%input: vector<16xindex>) -> vector<128xi8> {
@@ -46,6 +64,16 @@ func.func @bitcast_index_to_i8_vector(%input: vector<16xindex>) -> vector<128xi8
// CHECK: %[[T0:.*]] = builtin.unrealized_conversion_cast %[[input]] : vector<16xindex> to vector<16xi64>
// CHECK: llvm.bitcast %[[T0]] : vector<16xi64> to vector<128xi8>
+func.func @bitcast_index_to_i8_vector_scalable(%input: vector<[16]xindex>) -> vector<[128]xi8> {
+ %0 = vector.bitcast %input : vector<[16]xindex> to vector<[128]xi8>
+ return %0 : vector<[128]xi8>
+}
+
+// CHECK-LABEL: @bitcast_index_to_i8_scalable_vector
+// CHECK-SAME: %[[input:.*]]: vector<[16]xindex>
+// CHECK: %[[T0:.*]] = builtin.unrealized_conversion_cast %[[input]] : vector<[16]xindex> to vector<[16]xi64>
+// CHECK: llvm.bitcast %[[T0]] : vector<[16]xi64> to vector<[128]xi8>
+
// -----
func.func @broadcast_vec0d_from_f32(%arg0: f32) -> vector<f32> {
@@ -80,6 +108,17 @@ func.func @broadcast_vec1d_from_f32(%arg0: f32) -> vector<2xf32> {
// CHECK: %[[T1:.*]] = llvm.shufflevector %[[T0]]
// CHECK: return %[[T1]] : vector<2xf32>
+
+func.func @broadcast_vec1d_from_f32_scalable(%arg0: f32) -> vector<[2]xf32> {
+ %0 = vector.broadcast %arg0 : f32 to vector<[2]xf32>
+ return %0 : vector<[2]xf32>
+}
+// CHECK-LABEL: @broadcast_scalable_vec1d_from_f32
+// CHECK-SAME: %[[A:.*]]: f32)
+// CHECK: %[[T0:.*]] = llvm.insertelement %[[A]]
+// CHECK: %[[T1:.*]] = llvm.shufflevector %[[T0]]
+// CHECK: return %[[T1]] : vector<[2]xf32>
+
// -----
func.func @broadcast_vec1d_from_index(%arg0: index) -> vector<2xindex> {
@@ -94,6 +133,18 @@ func.func @broadcast_vec1d_from_index(%arg0: index) -> vector<2xindex> {
// CHECK: %[[T2:.*]] = builtin.unrealized_conversion_cast %[[T1]] : vector<2xi64> to vector<2xindex>
// CHECK: return %[[T2]] : vector<2xindex>
+func.func @broadcast_vec1d_from_index_scalable(%arg0: index) -> vector<[2]xindex> {
+ %0 = vector.broadcast %arg0 : index to vector<[2]xindex>
+ return %0 : vector<[2]xindex>
+}
+// CHECK-LABEL: @broadcast_scalable_vec1d_from_index
+// CHECK-SAME: %[[A:.*]]: index)
+// CHECK: %[[A1:.*]] = builtin.unrealized_conversion_cast %[[A]] : index to i64
+// CHECK: %[[T0:.*]] = llvm.insertelement %[[A1]]
+// CHECK: %[[T1:.*]] = llvm.shufflevector %[[T0]]
+// CHECK: %[[T2:.*]] = builtin.unrealized_conversion_cast %[[T1]] : vector<[2]xi64> to vector<[2]xindex>
+// CHECK: return %[[T2]] : vector<[2]xindex>
+
// -----
func.func @broadcast_vec2d_from_scalar(%arg0: f32) -> vector<2x3xf32> {
@@ -109,6 +160,19 @@ func.func @broadcast_vec2d_from_scalar(%arg0: f32) -> vector<2x3xf32> {
// CHECK: %[[T4:.*]] = builtin.unrealized_conversion_cast %[[T3]] : !llvm.array<2 x vector<3xf32>> to vector<2x3xf32>
// CHECK: return %[[T4]] : vector<2x3xf32>
+func.func @broadcast_vec2d_from_scalar_scalable(%arg0: f32) -> vector<2x[3]xf32> {
+ %0 = vector.broadcast %arg0 : f32 to vector<2x[3]xf32>
+ return %0 : vector<2x[3]xf32>
+}
+// CHECK-LABEL: @broadcast_scalable_vec2d_from_scalar(
+// CHECK-SAME: %[[A:.*]]: f32)
+// CHECK: %[[T0:.*]] = llvm.insertelement %[[A]]
+// CHECK: %[[T1:.*]] = llvm.shufflevector %[[T0]]
+// CHECK: %[[T2:.*]] = llvm.insertvalue %[[T1]], %{{.*}}[0] : !llvm.array<2 x vector<[3]xf32>>
+// CHECK: %[[T3:.*]] = llvm.insertvalue %[[T1]], %{{.*}}[1] : !llvm.array<2 x vector<[3]xf32>>
+// CHECK: %[[T4:.*]] = builtin.unrealized_conversion_cast %[[T3]] : !llvm.array<2 x vector<[3]xf32>> to vector<2x[3]xf32>
+// CHECK: return %[[T4]] : vector<2x[3]xf32>
+
// -----
func.func @broadcast_vec3d_from_scalar(%arg0: f32) -> vector<2x3x4xf32> {
@@ -125,6 +189,21 @@ func.func @broadcast_vec3d_from_scalar(%arg0: f32) -> vector<2x3x4xf32> {
// CHECK: %[[T4:.*]] = builtin.unrealized_conversion_cast %[[T3]] : !llvm.array<2 x array<3 x vector<4xf32>>> to vector<2x3x4xf32>
// CHECK: return %[[T4]] : vector<2x3x4xf32>
+
+func.func @broadcast_vec3d_from_scalar_scalable(%arg0: f32) -> vector<2x3x[4]xf32> {
+ %0 = vector.broadcast %arg0 : f32 to vector<2x3x[4]xf32>
+ return %0 : vector<2x3x[4]xf32>
+}
+// CHECK-LABEL: @broadcast_scalable_vec3d_from_scalar(
+// CHECK-SAME: %[[A:.*]]: f32)
+// CHECK: %[[T0:.*]] = llvm.insertelement %[[A]]
+// CHECK: %[[T1:.*]] = llvm.shufflevector %[[T0]]
+// CHECK: %[[T2:.*]] = llvm.insertvalue %[[T1]], %{{.*}}[0, 0] : !llvm.array<2 x array<3 x vector<[4]xf32>>>
+// ...
+// CHECK: %[[T3:.*]] = llvm.insertvalue %[[T1]], %{{.*}}[1, 2] : !llvm.array<2 x array<3 x vector<[4]xf32>>>
+// CHECK: %[[T4:.*]] = builtin.unrealized_conversion_cast %[[T3]] : !llvm.array<2 x array<3 x vector<[4]xf32>>> to vector<2x3x[4]xf32>
+// CHECK: return %[[T4]] : vector<2x3x[4]xf32>
+
// -----
func.func @broadcast_vec1d_from_vec1d(%arg0: vector<2xf32>) -> vector<2xf32> {
@@ -135,6 +214,14 @@ func.func @broadcast_vec1d_from_vec1d(%arg0: vector<2xf32>) -> vector<2xf32> {
// CHECK-SAME: %[[A:.*]]: vector<2xf32>)
// CHECK: return %[[A]] : vector<2xf32>
+func.func @broadcast_vec1d_from_vec1d_scalable(%arg0: vector<[2]xf32>) -> vector<[2]xf32> {
+ %0 = vector.broadcast %arg0 : vector<[2]xf32> to vector<[2]xf32>
+ return %0 : vector<[2]xf32>
+}
+// CHECK-LABEL: @broadcast_scalable_vec1d_from_vec1d(
+// CHECK-SAME: %[[A:.*]]: vector<[2]xf32>)
+// CHECK: return %[[A]] : vector<[2]xf32>
+
// -----
func.func @broadcast_vec2d_from_vec0d(%arg0: vector<f32>) -> vector<3x2xf32> {
@@ -172,6 +259,20 @@ func.func @broadcast_vec2d_from_vec1d(%arg0: vector<2xf32>) -> vector<3x2xf32> {
// CHECK: %[[T5:.*]] = builtin.unrealized_conversion_cast %[[T4]] : !llvm.array<3 x vector<2xf32>> to vector<3x2xf32>
// CHECK: return %[[T5]] : vector<3x2xf32>
+func.func @broadcast_vec2d_from_vec1d_scalable(%arg0: vector<[2]xf32>) -> vector<3x[2]xf32> {
+ %0 = vector.broadcast %arg0 : vector<[2]xf32> to vector<3x[2]xf32>
+ return %0 : vector<3x[2]xf32>
+}
+// CHECK-LABEL: @broadcast_scalable_vec2d_from_vec1d(
+// CHECK-SAME: %[[A:.*]]: vector<[2]xf32>)
+// CHECK: %[[T0:.*]] = arith.constant dense<0.000000e+00> : vector<3x[2]xf32>
+// CHECK: %[[T1:.*]] = builtin.unrealized_conversion_cast %[[T0]] : vector<3x[2]xf32> to !llvm.array<3 x vector<[2]xf32>>
+// CHECK: %[[T2:.*]] = llvm.insertvalue %[[A]], %[[T1]][0] : !llvm.array<3 x vector<[2]xf32>>
+// CHECK: %[[T3:.*]] = llvm.insertvalue %[[A]], %[[T2]][1] : !llvm.array<3 x vector<[2]xf32>>
+// CHECK: %[[T4:.*]] = llvm.insertvalue %[[A]], %[[T3]][2] : !llvm.array<3 x vector<[2]xf32>>
+// CHECK: %[[T5:.*]] = builtin.unrealized_conversion_cast %[[T4]] : !llvm.array<3 x vector<[2]xf32>> to vector<3x[2]xf32>
+// CHECK: return %[[T5]] : vector<3x[2]xf32>
+
// -----
func.func @broadcast_vec2d_from_index_vec1d(%arg0: vector<2xindex>) -> vector<3x2xindex> {
@@ -188,6 +289,20 @@ func.func @broadcast_vec2d_from_index_vec1d(%arg0: vector<2xindex>) -> vector<3x
// CHECK: %[[T4:.*]] = builtin.unrealized_conversion_cast %{{.*}} : !llvm.array<3 x vector<2xi64>> to vector<3x2xindex>
// CHECK: return %[[T4]] : vector<3x2xindex>
+func.func @broadcast_vec2d_from_index_vec1d_scalable(%arg0: vector<[2]xindex>) -> vector<3x[2]xindex> {
+ %0 = vector.broadcast %arg0 : vector<[2]xindex> to vector<3x[2]xindex>
+ return %0 : vector<3x[2]xindex>
+}
+// CHECK-LABEL: @broadcast_scalable_vec2d_from_index_vec1d(
+// CHECK-SAME: %[[A:.*]]: vector<[2]xindex>)
+// CHECK: %[[T1:.*]] = builtin.unrealized_conversion_cast %[[A]] : vector<[2]xindex> to vector<[2]xi64>
+// CHECK: %[[T0:.*]] = arith.constant dense<0> : vector<3x[2]xindex>
+// CHECK: %[[T2:.*]] = builtin.unrealized_conversion_cast %[[T0]] : vector<3x[2]xindex> to !llvm.array<3 x vector<[2]xi64>>
+// CHECK: %[[T3:.*]] = llvm.insertvalue %[[T1]], %[[T2]][0] : !llvm.array<3 x vector<[2]xi64>>
+
+// CHECK: %[[T4:.*]] = builtin.unrealized_conversion_cast %{{.*}} : !llvm.array<3 x vector<[2]xi64>> to vector<3x[2]xindex>
+// CHECK: return %[[T4]] : vector<3x[2]xindex>
+
// -----
func.func @broadcast_vec3d_from_vec1d(%arg0: vector<2xf32>) -> vector<4x3x2xf32> {
@@ -213,6 +328,29 @@ func.func @broadcast_vec3d_from_vec1d(%arg0: vector<2xf32>) -> vector<4x3x2xf32>
// CHECK: %[[T11:.*]] = builtin.unrealized_conversion_cast %[[T10]] : !llvm.array<4 x array<3 x vector<2xf32>>> to vector<4x3x2xf32>
// CHECK: return %[[T11]] : vector<4x3x2xf32>
+func.func @broadcast_vec3d_from_vec1d_scalable(%arg0: vector<[2]xf32>) -> vector<4x3x[2]xf32> {
+ %0 = vector.broadcast %arg0 : vector<[2]xf32> to vector<4x3x[2]xf32>
+ return %0 : vector<4x3x[2]xf32>
+}
+// CHECK-LABEL: @broadcast_scalable_vec3d_from_vec1d(
+// CHECK-SAME: %[[A:.*]]: vector<[2]xf32>)
+// CHECK-DAG: %[[T0:.*]] = arith.constant dense<0.000000e+00> : vector<3x[2]xf32>
+// CHECK-DAG: %[[T2:.*]] = builtin.unrealized_conversion_cast %[[T0]] : vector<3x[2]xf32> to !llvm.array<3 x vector<[2]xf32>>
+// CHECK-DAG: %[[T1:.*]] = arith.constant dense<0.000000e+00> : vector<4x3x[2]xf32>
+// CHECK-DAG: %[[T6:.*]] = builtin.unrealized_conversion_cast %[[T1]] : vector<4x3x[2]xf32> to !llvm.array<4 x array<3 x vector<[2]xf32>>>
+
+// CHECK: %[[T3:.*]] = llvm.insertvalue %[[A]], %[[T2]][0] : !llvm.array<3 x vector<[2]xf32>>
+// CHECK: %[[T4:.*]] = llvm.insertvalue %[[A]], %[[T3]][1] : !llvm.array<3 x vector<[2]xf32>>
+// CHECK: %[[T5:.*]] = llvm.insertvalue %[[A]], %[[T4]][2] : !llvm.array<3 x vector<[2]xf32>>
+
+// CHECK: %[[T7:.*]] = llvm.insertvalue %[[T5]], %[[T6]][0] : !llvm.array<4 x array<3 x vector<[2]xf32>>>
+// CHECK: %[[T8:.*]] = llvm.insertvalue %[[T5]], %[[T7]][1] : !llvm.array<4 x array<3 x vector<[2]xf32>>>
+// CHECK: %[[T9:.*]] = llvm.insertvalue %[[T5]], %[[T8]][2] : !llvm.array<4 x array<3 x vector<[2]xf32>>>
+// CHECK: %[[T10:.*]] = llvm.insertvalue %[[T5]], %[[T9]][3] : !llvm.array<4 x array<3 x vector<[2]xf32>>>
+
+// CHECK: %[[T11:.*]] = builtin.unrealized_conversion_cast %[[T10]] : !llvm.array<4 x array<3 x vector<[2]xf32>>> to vector<4x3x[2]xf32>
+// CHECK: return %[[T11]] : vector<4x3x[2]xf32>
+
// -----
func.func @broadcast_vec3d_from_vec2d(%arg0: vector<3x2xf32>) -> vector<4x3x2xf32> {
@@ -231,6 +369,22 @@ func.func @broadcast_vec3d_from_vec2d(%arg0: vector<3x2xf32>) -> vector<4x3x2xf3
// CHECK: %[[T10:.*]] = builtin.unrealized_conversion_cast %[[T9]] : !llvm.array<4 x array<3 x vector<2xf32>>> to vector<4x3x2xf32>
// CHECK: return %[[T10]] : vector<4x3x2xf32>
+func.func @broadcast_vec3d_from_vec2d_scalable(%arg0: vector<3x[2]xf32>) -> vector<4x3x[2]xf32> {
+ %0 = vector.broadcast %arg0 : vector<3x[2]xf32> to vector<4x3x[2]xf32>
+ return %0 : vector<4x3x[2]xf32>
+}
+// CHECK-LABEL: @broadcast_scalable_vec3d_from_vec2d(
+// CHECK-SAME: %[[A:.*]]: vector<3x[2]xf32>)
+// CHECK: %[[T1:.*]] = builtin.unrealized_conversion_cast %[[A]] : vector<3x[2]xf32> to !llvm.array<3 x vector<[2]xf32>>
+// CHECK: %[[T0:.*]] = arith.constant dense<0.000000e+00> : vector<4x3x[2]xf32>
+// CHECK: %[[T2:.*]] = builtin.unrealized_conversion_cast %[[T0]] : vector<4x3x[2]xf32> to !llvm.array<4 x array<3 x vector<[2]xf32>>>
+// CHECK: %[[T3:.*]] = llvm.insertvalue %[[T1]], %[[T2]][0] : !llvm.array<4 x array<3 x vector<[2]xf32>>>
+// CHECK: %[[T5:.*]] = llvm.insertvalue %[[T1]], %[[T3]][1] : !llvm.array<4 x array<3 x vector<[2]xf32>>>
+// CHECK: %[[T7:.*]] = llvm.insertvalue %[[T1]], %[[T5]][2] : !llvm.array<4 x array<3 x vector<[2]xf32>>>
+// CHECK: %[[T9:.*]] = llvm.insertvalue %[[T1]], %[[T7]][3] : !llvm.array<4 x array<3 x vector<[2]xf32>>>
+// CHECK: %[[T10:.*]] = builtin.unrealized_conversion_cast %[[T9]] : !llvm.array<4 x array<3 x vector<[2]xf32>>> to vector<4x3x[2]xf32>
+// CHECK: return %[[T10]] : vector<4x3x[2]xf32>
+
// -----
@@ -246,6 +400,18 @@ func.func @broadcast_stretch(%arg0: vector<1xf32>) -> vector<4xf32> {
// CHECK: %[[T4:.*]] = llvm.shufflevector %[[T3]]
// CHECK: return %[[T4]] : vector<4xf32>
+func.func @broadcast_stretch_scalable(%arg0: vector<1xf32>) -> vector<[4]xf32> {
+ %0 = vector.broadcast %arg0 : vector<1xf32> to vector<[4]...
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nujaa
approved these changes
Aug 5, 2024
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Nothing to complain about.
This was referenced Aug 5, 2024
Adds tests with scalable vectors for the Vector-To-LLVM conversion pass. Covers the following Ops: * vector.bitcast * vector.broadcast Note, this has uncovered some missing logic in `BroadcastOpLowering`. This PR fixes the most basic cases where the scalable flags were dropped and the generated code was incorrect. The `BroadcastOpLowering` pattern is effectively disabled for scalable vectors in more complex cases where an SCF loop would be required to loop over the scalable dims, e.g.: ```mlir %0 = vector.broadcast %arg0 : vector<[4]x1x2xf32> to vector<[4]x3x2xf32> ``` These cases are marked as "Stetch not at start" in the code. In those case, support for scalable vectors is left as a TODO.
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Refine BroadcastOp::verify. Specifically, relax it to allow: ```mlir %0 = vector.broadcast %arg0 : vector<1xf32> to vector<[4]xf32> ```
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Adds tests with scalable vectors for the Vector-To-LLVM conversion pass.
Covers the following Ops:
Note, this has uncovered some missing logic in
BroadcastOpLowering
.This PR fixes the most basic cases where the scalable flags were dropped
and the generated code was incorrect.
The
BroadcastOpLowering
pattern is effectively disabled for scalablevectors in more complex cases where an SCF loop would be required to
loop over the scalable dims, e.g.:
These cases are marked as "Stetch not at start" in the code. In those
case, support for scalable vectors is left as a TODO.
Depends on #101928 - only review the top commit