[ExecuTorch] support BF16 in op_mm

kernels/portable/cpu/op_mm.cpp

@@ -34,19 +34,20 @@ mm_out(RuntimeContext& ctx, const Tensor& in, const Tensor& mat2, Tensor& out) {
 
   ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out);
 
-  ET_SWITCH_REAL_TYPES_AND(Half, in.scalar_type(), ctx, "mm.out", CTYPE, [&]() {
-    size_t m = in.size(0);
-    size_t n = in.size(1);
-    size_t p = mat2.size(1);
-
-    vec_matmul<CTYPE>(
-        out.mutable_data_ptr<CTYPE>(),
-        in.const_data_ptr<CTYPE>(),
-        mat2.const_data_ptr<CTYPE>(),
-        m,
-        n,
-        p);
-  });
+  ET_SWITCH_REAL_TYPES_AND2(
+      Half, BFloat16, in.scalar_type(), ctx, "mm.out", CTYPE, [&]() {
+        size_t m = in.size(0);
+        size_t n = in.size(1);
+        size_t p = mat2.size(1);
+
+        vec_matmul<CTYPE>(
+            out.mutable_data_ptr<CTYPE>(),
+            in.const_data_ptr<CTYPE>(),
+            mat2.const_data_ptr<CTYPE>(),
+            m,
+            n,
+            p);
+      });
 
   return out;
 }

kernels/test/op_mm_test.cpp

@@ -81,7 +81,7 @@ TEST_F(OpMmOutTest, OutputDim) {
 /// zeros().
 TEST_F(OpMmOutTest, AllDtypesSupported) {
 #define TEST_ENTRY(ctype, dtype) test_dtype<ctype, ScalarType::dtype>();
-  ET_FORALL_REAL_TYPES_AND(Half, TEST_ENTRY);
+  ET_FORALL_REALHBF16_TYPES(TEST_ENTRY);
 #undef TEST_ENTRY
   // TODO: Also add tests for half, complex, quantized, and other types. Easiest
   // way to do that would be to make TensorFactory support zeros() and ones()