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-rw-r--r--mlir/docs/Tutorials/Toy/Ch-1.md4
1 files changed, 2 insertions, 2 deletions
diff --git a/mlir/docs/Tutorials/Toy/Ch-1.md b/mlir/docs/Tutorials/Toy/Ch-1.md
index cb7f97cb3f6..e12f615b49b 100644
--- a/mlir/docs/Tutorials/Toy/Ch-1.md
+++ b/mlir/docs/Tutorials/Toy/Ch-1.md
@@ -51,7 +51,7 @@ of rank <= 2, and the only datatype in Toy is a 64-bit floating point type (aka
and deallocation is automatically managed. But enough with the long description;
nothing is better than walking through an example to get a better understanding:
-```Toy {.toy}
+```toy
def main() {
# Define a variable `a` with shape <2, 3>, initialized with the literal value.
# The shape is inferred from the supplied literal.
@@ -74,7 +74,7 @@ tensors, but we don't know their dimensions). They are specialized for every
newly discovered signature at call sites. Let's revisit the previous example by
adding a user-defined function:
-```Toy {.toy}
+```toy
# User defined generic function that operates on unknown shaped arguments.
def multiply_transpose(a, b) {
return transpose(a) * transpose(b);
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