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Add MLIR 16.0.0 (#4892)
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@@ -1,18 +1,20 @@
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compilers=&mliropt
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defaultCompiler=mliropt1405
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defaultCompiler=mliropt1600
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compilerType=mlir
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supportsBinary=false
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supportsExecute=false
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supportsAsmDocs=false
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group.mliropt.compilers=mliropt1400:mliropt1405
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group.mliropt.compilers=mliropt1400:mliropt1405:mliropt1600
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group.mliropt.isSemVer=true
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group.mliropt.baseName=MLIR opt
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group.mliropt.licenseName=LLVM Apache 2
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group.mliropt.licenseLink=https://github.com/llvm/llvm-project/blob/main/mlir/LICENSE.TXT
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group.mliropt.licensePreamble=The LLVM Project is under the Apache License v2.0 with LLVM Exceptions
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compiler.mliropt1600.exe=/opt/compiler-explorer/mlir-16.0.0/bin/mlir-opt
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compiler.mliropt1600.semver=16.0.0
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compiler.mliropt1405.exe=/opt/compiler-explorer/mlir-14.0.5/bin/mlir-opt
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compiler.mliropt1405.semver=14.0.5
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compiler.mliropt1400.exe=/opt/compiler-explorer/mlir-14.0.0/bin/mlir-opt
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@@ -2,7 +2,7 @@
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// MLIR example code may not always work out of the box because the textual MLIR format is not stable.
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// The example tries to be compatible with the latest MLIR version, which may not work on previous versions.
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func @affine_parallel_with_reductions_i64(%arg0: memref<3x3xi64>, %arg1: memref<3x3xi64>) -> (i64, i64) {
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func.func @affine_parallel_with_reductions_i64(%arg0: memref<3x3xi64>, %arg1: memref<3x3xi64>) -> (i64, i64) {
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%0:2 = affine.parallel (%kx, %ky) = (0, 0) to (2, 2) reduce ("addi", "muli") -> (i64, i64) {
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%1 = affine.load %arg0[%kx, %ky] : memref<3x3xi64>
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%2 = affine.load %arg1[%kx, %ky] : memref<3x3xi64>
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