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clang-p2996/mlir/test/Examples/Toy/Ch4/transpose_transpose.toy
River Riddle ee2c6cd906 [mlir][toy] Define a FuncOp operation in toy and drop the dependence on FuncOp
FuncOp is being moved out of the builtin dialect, and defining a custom
toy operation showcases various aspects of defining function-like operation
(e.g. inlining, passes, etc.).

Differential Revision: https://reviews.llvm.org/D121264
2022-03-15 14:55:51 -07:00

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# RUN: toyc-ch4 %s -emit=mlir -opt 2>&1 | FileCheck %s
# User defined generic function that operates on unknown shaped arguments
def transpose_transpose(x) {
return transpose(transpose(x));
}
def main() {
var a<2, 3> = [[1, 2, 3], [4, 5, 6]];
var b = transpose_transpose(a);
print(b);
}
# CHECK-LABEL: toy.func @main()
# CHECK-NEXT: [[VAL_1:%.*]] = toy.constant dense<{{\[\[}}1.000000e+00, 2.000000e+00, 3.000000e+00], [4.000000e+00, 5.000000e+00, 6.000000e+00]]> : tensor<2x3xf64>
# CHECK-NEXT: toy.print [[VAL_1]] : tensor<2x3xf64>
# CHECK-NEXT: toy.return