Add testcase about the broadcast

Author: am17an

tests/test-backend-ops.cpp

@@ -2561,7 +2561,7 @@ struct test_rms_norm : public test_case {
     const float eps;
 
     std::string vars() override {
-        return VARS_TO_STR4(type, ne, v, eps);
+        return VARS_TO_STR5(type, ne, v, eps, v);
     }
 
     test_rms_norm(ggml_type type = GGML_TYPE_F32,
@@ -2641,6 +2641,7 @@ struct test_rms_norm_mul_add : public test_case {
     const ggml_type type;
     const std::array<int64_t, 4> ne;
     const float eps;
+    const bool broadcast;
 
     std::string op_desc(ggml_tensor * t) override {
         GGML_UNUSED(t);
@@ -2655,13 +2656,18 @@ struct test_rms_norm_mul_add : public test_case {
 
     test_rms_norm_mul_add(ggml_type type = GGML_TYPE_F32,
             std::array<int64_t, 4> ne = {64, 5, 4, 3},
-            float eps = 1e-6f)
-        : type(type), ne(ne), eps(eps) {}
+            float eps = 1e-6f, bool broadcast = false)
+        : type(type), ne(ne), eps(eps), broadcast(broadcast) {}
 
     ggml_tensor * build_graph(ggml_context * ctx) override {
-        ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne.data());
+        std::array<int64_t, 4> broadcast_dims = {ne[0]*2, ne[1]*3, ne[2]*3, ne[3]*4};
+
+        ggml_tensor * a = ggml_new_tensor(ctx, type, 4, broadcast ? broadcast_dims.data() : ne.data());
         ggml_tensor * b = ggml_new_tensor(ctx, type, 4, ne.data());
         ggml_tensor * c = ggml_new_tensor(ctx, type, 4, ne.data());
+
+
+
         ggml_set_param(a);
         ggml_set_name(a, "a");
         ggml_set_param(b);
@@ -5353,6 +5359,7 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
     }
     for (float eps : {0.0f, 1e-6f, 1e-4f, 1e-1f, 1.0f}) {
         test_cases.emplace_back(new test_rms_norm_mul_add(GGML_TYPE_F32, {64, 5, 4, 3}, eps));
+        test_cases.emplace_back(new test_rms_norm_mul_add(GGML_TYPE_F32, {64, 5, 4, 3}, eps, true));
     }
 
     test_cases.emplace_back(new test_l2_norm(GGML_TYPE_F32, {64, 5, 4, 3}, 1e-12f));