88c5027b93
Use the recently introduced transform dialect parameter mechanism to perform controllable multi-size tiling with sizes computed at the transformation time rather than at runtime. This requires to generalize tile and split structured transform operations to work with any transform dialect handle types, which is desirable in itself to avoid unchecked overuse of PDL OperationType. Reviewed By: shabalin Differential Revision: https://reviews.llvm.org/D140980
27 lines
1.2 KiB
MLIR
27 lines
1.2 KiB
MLIR
// RUN: mlir-opt %s --test-transform-dialect-interpreter --split-input-file | FileCheck %s
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// CHECK-LABEL: func @matmul_tensors
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func.func @matmul_tensors(
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%arg0: tensor<8x16xf32>, %arg1: tensor<16x32xf32>, %arg2: tensor<8x32xf32>)
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-> tensor<8x32xf32> {
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// CHECK-NOT: linalg
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// CHECK: vector.extract {{.*}} : vector<8x4xf32>
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// CHECK: vector.store {{.*}} : memref<8x32xf32>, vector<4xf32>
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%0 = linalg.matmul ins(%arg0, %arg1: tensor<8x16xf32>, tensor<16x32xf32>)
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outs(%arg2: tensor<8x32xf32>)
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-> tensor<8x32xf32>
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return %0 : tensor<8x32xf32>
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}
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transform.sequence failures(propagate) {
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^bb1(%module_op: !pdl.operation):
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%0 = transform.structured.match ops{["linalg.matmul"]} in %module_op
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%1, %loops:3 = transform.structured.tile %0 [8, 4, 2] : (!pdl.operation) -> (!pdl.operation, !pdl.operation, !pdl.operation, !pdl.operation)
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%2 = get_closest_isolated_parent %1 : (!pdl.operation) -> !pdl.operation
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transform.structured.vectorize %2
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transform.bufferization.one_shot_bufferize %module_op
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%func = transform.structured.match ops{["func.func"]} in %module_op
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transform.vector.lower_vectors %func multireduction_lowering = "innerreduction"
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}
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