[mlir][Vector] Add support for scalable vectors to ScanToArithOps (#123117)
Note, scalable reductions dims are left as a TODO.
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@ -111,7 +111,7 @@ struct ScanToArithOps : public OpRewritePattern<vector::ScanOp> {
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if (!isValidKind(isInt, scanOp.getKind()))
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return failure();
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VectorType resType = VectorType::get(destShape, elType);
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VectorType resType = destType;
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Value result = arith::ConstantOp::create(rewriter, loc, resType,
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rewriter.getZeroAttr(resType));
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int64_t reductionDim = scanOp.getReductionDim();
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@ -121,8 +121,18 @@ struct ScanToArithOps : public OpRewritePattern<vector::ScanOp> {
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int64_t initialValueRank = initialValueType.getRank();
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SmallVector<int64_t> reductionShape(destShape);
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SmallVector<bool> reductionScalableDims(destType.getScalableDims());
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if (reductionScalableDims[reductionDim])
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return rewriter.notifyMatchFailure(
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scanOp, "Trying to reduce scalable dimension - not yet supported!");
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// The reduction dimension, after reducing, becomes 1. It's a fixed-width
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// dimension - no need to touch the scalability flag.
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reductionShape[reductionDim] = 1;
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VectorType reductionType = VectorType::get(reductionShape, elType);
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VectorType reductionType =
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VectorType::get(reductionShape, elType, reductionScalableDims);
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SmallVector<int64_t> offsets(destRank, 0);
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SmallVector<int64_t> strides(destRank, 1);
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SmallVector<int64_t> sizes(destShape);
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@ -1,4 +1,4 @@
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// RUN: mlir-opt %s --test-vector-scan-lowering | FileCheck %s
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// RUN: mlir-opt %s -split-input-file --test-vector-scan-lowering | FileCheck %s
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// CHECK-LABEL: func @scan1d_inc
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// CHECK-SAME: %[[ARG0:.*]]: vector<2xi32>,
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@ -18,6 +18,20 @@ func.func @scan1d_inc(%arg0 : vector<2xi32>, %arg1 : vector<i32>) -> (vector<2xi
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return %0#0, %0#1 : vector<2xi32>, vector<i32>
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}
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// -----
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// Reducing scalable dims is not yet supported!
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// CHECK-LABEL: func @scan1d_inc_scalable
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// CHECK: vector.scan
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func.func @scan1d_inc_scalable(%arg0 : vector<[2]xi32>, %arg1 : vector<i32>) -> (vector<[2]xi32>, vector<i32>) {
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%0:2 = vector.scan <add>, %arg0, %arg1 {inclusive = true, reduction_dim = 0} :
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vector<[2]xi32>, vector<i32>
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return %0#0, %0#1 : vector<[2]xi32>, vector<i32>
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}
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// -----
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// CHECK-LABEL: func @scan1d_exc
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// CHECK-SAME: %[[ARG0:.*]]: vector<2xi32>,
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// CHECK-SAME: %[[ARG1:.*]]: vector<i32>
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@ -36,6 +50,20 @@ func.func @scan1d_exc(%arg0 : vector<2xi32>, %arg1 : vector<i32>) -> (vector<2xi
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return %0#0, %0#1 : vector<2xi32>, vector<i32>
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}
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// -----
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// Rducing scalable dims is not yet supported!
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// CHECK-LABEL: func @scan1d_exc_scalable
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// CHECK: vector.scan
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func.func @scan1d_exc_scalable(%arg0 : vector<[2]xi32>, %arg1 : vector<i32>) -> (vector<[2]xi32>, vector<i32>) {
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%0:2 = vector.scan <add>, %arg0, %arg1 {inclusive = false, reduction_dim = 0} :
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vector<[2]xi32>, vector<i32>
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return %0#0, %0#1 : vector<[2]xi32>, vector<i32>
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}
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// -----
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// CHECK-LABEL: func @scan2d_mul_dim0
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// CHECK-SAME: %[[ARG0:.*]]: vector<2x3xi32>,
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// CHECK-SAME: %[[ARG1:.*]]: vector<3xi32>
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@ -53,6 +81,27 @@ func.func @scan2d_mul_dim0(%arg0 : vector<2x3xi32>, %arg1 : vector<3xi32>) -> (v
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return %0#0, %0#1 : vector<2x3xi32>, vector<3xi32>
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}
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// -----
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// CHECK-LABEL: func @scan2d_mul_dim0_scalable
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// CHECK-SAME: %[[ARG0:.*]]: vector<2x[3]xi32>,
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// CHECK-SAME: %[[ARG1:.*]]: vector<[3]xi32>
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// CHECK: %[[A:.*]] = arith.constant dense<0> : vector<2x[3]xi32>
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// CHECK: %[[B:.*]] = vector.extract_strided_slice %[[ARG0]] {offsets = [0, 0], sizes = [1, 3], strides = [1, 1]} : vector<2x[3]xi32> to vector<1x[3]xi32>
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// CHECK: %[[C:.*]] = vector.insert_strided_slice %[[B]], %[[A]] {offsets = [0, 0], strides = [1, 1]} : vector<1x[3]xi32> into vector<2x[3]xi32>
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// CHECK: %[[D:.*]] = vector.extract_strided_slice %[[ARG0]] {offsets = [1, 0], sizes = [1, 3], strides = [1, 1]} : vector<2x[3]xi32> to vector<1x[3]xi32>
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// CHECK: %[[E:.*]] = arith.muli %[[B]], %[[D]] : vector<1x[3]xi32>
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// CHECK: %[[F:.*]] = vector.insert_strided_slice %[[E]], %[[C]] {offsets = [1, 0], strides = [1, 1]} : vector<1x[3]xi32> into vector<2x[3]xi32>
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// CHECK: %[[G:.*]] = vector.shape_cast %[[E]] : vector<1x[3]xi32> to vector<[3]xi32>
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// CHECK: return %[[F]], %[[G]] : vector<2x[3]xi32>, vector<[3]xi32>
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func.func @scan2d_mul_dim0_scalable(%arg0 : vector<2x[3]xi32>, %arg1 : vector<[3]xi32>) -> (vector<2x[3]xi32>, vector<[3]xi32>) {
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%0:2 = vector.scan <mul>, %arg0, %arg1 {inclusive = true, reduction_dim = 0} :
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vector<2x[3]xi32>, vector<[3]xi32>
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return %0#0, %0#1 : vector<2x[3]xi32>, vector<[3]xi32>
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}
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// -----
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// CHECK-LABEL: func @scan2d_mul_dim1
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// CHECK-SAME: %[[ARG0:.*]]: vector<2x3xi32>,
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// CHECK-SAME: %[[ARG1:.*]]: vector<2xi32>
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@ -73,6 +122,30 @@ func.func @scan2d_mul_dim1(%arg0 : vector<2x3xi32>, %arg1 : vector<2xi32>) -> (v
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return %0#0, %0#1 : vector<2x3xi32>, vector<2xi32>
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}
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// -----
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// CHECK-LABEL: func @scan2d_mul_dim1_scalable
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// CHECK-SAME: %[[ARG0:.*]]: vector<[2]x3xi32>,
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// CHECK-SAME: %[[ARG1:.*]]: vector<[2]xi32>
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// CHECK: %[[A:.*]] = arith.constant dense<0> : vector<[2]x3xi32>
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// CHECK: %[[B:.*]] = vector.extract_strided_slice %[[ARG0]] {offsets = [0, 0], sizes = [2, 1], strides = [1, 1]} : vector<[2]x3xi32> to vector<[2]x1xi32>
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// CHECK: %[[C:.*]] = vector.insert_strided_slice %[[B]], %[[A]] {offsets = [0, 0], strides = [1, 1]} : vector<[2]x1xi32> into vector<[2]x3xi32>
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// CHECK: %[[D:.*]] = vector.extract_strided_slice %[[ARG0]] {offsets = [0, 1], sizes = [2, 1], strides = [1, 1]} : vector<[2]x3xi32> to vector<[2]x1xi32>
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// CHECK: %[[E:.*]] = arith.muli %[[B]], %[[D]] : vector<[2]x1xi32>
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// CHECK: %[[F:.*]] = vector.insert_strided_slice %[[E]], %[[C]] {offsets = [0, 1], strides = [1, 1]} : vector<[2]x1xi32> into vector<[2]x3xi32>
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// CHECK: %[[G:.*]] = vector.extract_strided_slice %[[ARG0]] {offsets = [0, 2], sizes = [2, 1], strides = [1, 1]} : vector<[2]x3xi32> to vector<[2]x1xi32>
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// CHECK: %[[H:.*]] = arith.muli %[[E]], %[[G]] : vector<[2]x1xi32>
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// CHECK: %[[I:.*]] = vector.insert_strided_slice %[[H]], %[[F]] {offsets = [0, 2], strides = [1, 1]} : vector<[2]x1xi32> into vector<[2]x3xi32>
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// CHECK: %[[J:.*]] = vector.shape_cast %[[H]] : vector<[2]x1xi32> to vector<[2]xi32>
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// CHECK: return %[[I]], %[[J]] : vector<[2]x3xi32>, vector<[2]xi32>
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func.func @scan2d_mul_dim1_scalable(%arg0 : vector<[2]x3xi32>, %arg1 : vector<[2]xi32>) -> (vector<[2]x3xi32>, vector<[2]xi32>) {
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%0:2 = vector.scan <mul>, %arg0, %arg1 {inclusive = true, reduction_dim = 1} :
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vector<[2]x3xi32>, vector<[2]xi32>
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return %0#0, %0#1 : vector<[2]x3xi32>, vector<[2]xi32>
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}
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// -----
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// CHECK-LABEL: func @scan3d_mul_dim1
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// CHECK-SAME: %[[ARG0:.*]]: vector<4x2x3xf32>,
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// CHECK-SAME: %[[ARG1:.*]]: vector<4x3xf32>
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@ -89,3 +162,22 @@ func.func @scan3d_mul_dim1(%arg0 : vector<4x2x3xf32>, %arg1 : vector<4x3xf32>) -
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vector<4x2x3xf32>, vector<4x3xf32>
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return %0#0, %0#1 : vector<4x2x3xf32>, vector<4x3xf32>
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}
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// -----
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// CHECK-LABEL: func @scan3d_mul_dim1_scalable
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// CHECK-SAME: %[[ARG0:.*]]: vector<4x2x[3]xf32>,
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// CHECK-SAME: %[[ARG1:.*]]: vector<4x[3]xf32>
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// CHECK: %[[A:.*]] = arith.constant dense<0.000000e+00> : vector<4x2x[3]xf32>
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// CHECK: %[[B:.*]] = vector.extract_strided_slice %[[ARG0]] {offsets = [0, 0, 0], sizes = [4, 1, 3], strides = [1, 1, 1]} : vector<4x2x[3]xf32> to vector<4x1x[3]xf32>
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// CHECK: %[[C:.*]] = vector.shape_cast %[[ARG1]] : vector<4x[3]xf32> to vector<4x1x[3]xf32>
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// CHECK: %[[D:.*]] = vector.insert_strided_slice %[[C]], %[[A]] {offsets = [0, 0, 0], strides = [1, 1, 1]} : vector<4x1x[3]xf32> into vector<4x2x[3]xf32>
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// CHECK: %[[E:.*]] = arith.mulf %[[C]], %[[B]] : vector<4x1x[3]xf32>
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// CHECK: %[[F:.*]] = vector.insert_strided_slice %[[E]], %[[D]] {offsets = [0, 1, 0], strides = [1, 1, 1]} : vector<4x1x[3]xf32> into vector<4x2x[3]xf32>
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// CHECK: %[[G:.*]] = vector.shape_cast %[[E]] : vector<4x1x[3]xf32> to vector<4x[3]xf32>
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// CHECK: return %[[F]], %[[G]] : vector<4x2x[3]xf32>, vector<4x[3]xf32>
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func.func @scan3d_mul_dim1_scalable(%arg0 : vector<4x2x[3]xf32>, %arg1 : vector<4x[3]xf32>) -> (vector<4x2x[3]xf32>, vector<4x[3]xf32>) {
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%0:2 = vector.scan <mul>, %arg0, %arg1 {inclusive = false, reduction_dim = 1} :
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vector<4x2x[3]xf32>, vector<4x[3]xf32>
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return %0#0, %0#1 : vector<4x2x[3]xf32>, vector<4x[3]xf32>
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}
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