[Mlir-commits] [mlir] [mlir][tosa] Add missing int16 extension for concat operator (PR #132768)

[llvmlistbot at llvm.org]

https://github.com/Jerry-Ge created https://github.com/llvm/llvm-project/pull/132768

Add missing int16 extension for concat operator

>From 138a32c2433c3e28bcb4babb84fb8874e61dbc6f Mon Sep 17 00:00:00 2001
From: Jerry Ge <jerry.ge at arm.com>
Date: Mon, 24 Mar 2025 09:06:07 -0700
Subject: [PATCH] [mlir][tosa] Add missing int16 extension for concat operator

Signed-off-by: Jerry Ge <jerry.ge at arm.com>
Change-Id: Idff47f7fc9ecd799113b6409279fbd5a0f38e9f4
---
 mlir/include/mlir/Dialect/Tosa/IR/TosaOps.td | 2 +-
 mlir/test/Dialect/Tosa/availability.mlir     | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/mlir/include/mlir/Dialect/Tosa/IR/TosaOps.td b/mlir/include/mlir/Dialect/Tosa/IR/TosaOps.td
index 14e15173de7bc..64e92733bfbb0 100644
--- a/mlir/include/mlir/Dialect/Tosa/IR/TosaOps.td
+++ b/mlir/include/mlir/Dialect/Tosa/IR/TosaOps.td
@@ -1882,7 +1882,7 @@ def Tosa_ConcatOp : Tosa_InferTensorTypeOp<"concat"> {
 
   list<Availability> availability = [
     Profile<[Tosa_PRO_INT, Tosa_PRO_FP]>,
-    Extension<[Tosa_EXT_FP8E4M3, Tosa_EXT_FP8E5M2, Tosa_EXT_BF16]>,
+    Extension<[Tosa_EXT_FP8E4M3, Tosa_EXT_FP8E5M2, Tosa_EXT_BF16, Tosa_EXT_INT16]>,
   ];
 
   let hasCanonicalizer = 1;
diff --git a/mlir/test/Dialect/Tosa/availability.mlir b/mlir/test/Dialect/Tosa/availability.mlir
index ff910a40cf219..62ea12a7a6948 100644
--- a/mlir/test/Dialect/Tosa/availability.mlir
+++ b/mlir/test/Dialect/Tosa/availability.mlir
@@ -507,7 +507,7 @@ func.func @test_reduce_sum(%arg0: tensor<13x21x3xf32>) -> tensor<1x21x3xf32> {
 // CHECK-LABEL: concat
 func.func @test_concat(%arg0: tensor<13x21x3xf32>, %arg1: tensor<13x21x3xf32>) -> tensor<26x21x3xf32> {
   // CHECK: profiles: [ [pro_int, pro_fp] ]
-  // CHECK: extensions: [ [fp8e4m3, fp8e5m2, bf16] ]
+  // CHECK: extensions: [ [fp8e4m3, fp8e5m2, bf16, int16] ]
   %0 = tosa.concat %arg0, %arg1 {axis = 0 : i32} : (tensor<13x21x3xf32>, tensor<13x21x3xf32>) -> tensor<26x21x3xf32>
   return %0 : tensor<26x21x3xf32>
 }