27 lines
1.1 KiB
MLIR
27 lines
1.1 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]
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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 = "innerreduce"}
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}
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