8fce22888b
Fix a bug that was introduced where calling the codegen strategy with actual concrete C++ Op types did not trigger the expected behavior. Also introduce a test for the behavior that was missing. Differential Revision: https://reviews.llvm.org/D95863
22 lines
1.5 KiB
MLIR
22 lines
1.5 KiB
MLIR
// Test that both anchor-op name and MatmulOp-based codegen strategy produce the same result.
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// RUN: mlir-opt %s -test-linalg-codegen-strategy="tile-sizes=2,4,8 vectorize vectorize-contraction-to=matrixintrinsics unroll-vector-transfers=true" | FileCheck %s
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// RUN: mlir-opt %s -test-linalg-codegen-strategy="tile-sizes=16,32,64 promote promote-full-tile-pad register-tile-sizes=2,4,8 vectorize vectorize-contraction-to=outerproduct split-transfers=true unroll-vector-transfers=false" | FileCheck %s --check-prefix=OUTER
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// RUN: mlir-opt %s -test-linalg-codegen-strategy="anchor-op=linalg.matmul tile-sizes=2,4,8 vectorize vectorize-contraction-to=matrixintrinsics unroll-vector-transfers=true" | FileCheck %s
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// RUN: mlir-opt %s -test-linalg-codegen-strategy="anchor-op=linalg.matmul tile-sizes=16,32,64 promote promote-full-tile-pad register-tile-sizes=2,4,8 vectorize vectorize-contraction-to=outerproduct split-transfers=true unroll-vector-transfers=false" | FileCheck %s --check-prefix=OUTER
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// CHECK-LABEL: func @matmul(
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// OUTER-LABEL: func @matmul(
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func @matmul(%A: memref<1584x1584xf32>, %B: memref<1584x1584xf32>, %C: memref<1584x1584xf32>) {
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linalg.matmul
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ins(%A, %B: memref<1584x1584xf32>, memref<1584x1584xf32>)
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outs(%C: memref<1584x1584xf32>)
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// CHECK: vector.matrix_multiply
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// CHECK-SAME: {lhs_columns = 8 : i32, lhs_rows = 2 : i32, rhs_columns = 4 : i32}
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// CHECK-SAME: (vector<16xf32>, vector<32xf32>) -> vector<8xf32>
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// OUTER: vector.outerproduct {{.*}} : vector<2xf32>, vector<4xf32>
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return
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}
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