6e92d3fead
This allows writing simple e2e tests where we can check for the proper materialization of specific LLVM IR (e.g. `llvm.intr.fmuladd`). Differential Revision: https://reviews.llvm.org/D138776
26 lines
1.1 KiB
MLIR
26 lines
1.1 KiB
MLIR
// RUN: mlir-opt %s --test-transform-dialect-interpreter -test-transform-dialect-erase-schedule --test-lower-to-llvm --split-input-file | FileCheck %s
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// CHECK-LABEL: llvm.func @matmul_tensors
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func.func @matmul_tensors(
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%arg0: tensor<2x4xf32>, %arg1: tensor<4x6xf32>, %arg2: tensor<2x6xf32>)
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-> tensor<2x6xf32> {
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// CHECK-NOT: linalg
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// CHECK: llvm.intr.fmuladd{{.*}}
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%0 = linalg.matmul ins(%arg0, %arg1: tensor<2x4xf32>, tensor<4x6xf32>)
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outs(%arg2: tensor<2x6xf32>)
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-> tensor<2x6xf32>
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return %0 : tensor<2x6xf32>
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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 [2, 2, 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 layout{IdentityLayoutMap} %module_op
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{bufferize_function_boundaries = true}
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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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