Initialize variables

src/targets/gpu/gemm_impl.cpp

@@ -492,18 +492,32 @@ struct gemm_impl
     }
 #endif
     private:
-    size_t num_matrices;
-    rocblas_int m, n, k;
-    bool transa, transb;
-    T alpha, beta;
-
-    std::function<const void*()> get_alpha;
-    std::function<const void*()> get_beta;
-    flag_type int8_flag;
-    rocblas_int lda, ldb, ldc, ldd;
-    rocblas_int a_stride, b_stride, c_stride, d_stride;
-    rocblas_datatype compute_type, arg_type, output_type;
-    bool strided_batched = true, is_3inputs = true, compute_fp32 = true;
+    size_t num_matrices = 0;
+    rocblas_int m = 0;
+    rocblas_int n = 0;
+    rocblas_int k = 0;
+    bool transa = false;
+    bool transb = false;
+    T alpha = 0;
+    T beta = 0;
+
+    std::function<const void*()> get_alpha{};
+    std::function<const void*()> get_beta{};
+    flag_type int8_flag = 0;
+    rocblas_int lda = 0;
+    rocblas_int ldb = 0;
+    rocblas_int ldc = 0;
+    rocblas_int ldd = 0;
+    rocblas_int a_stride = 0;
+    rocblas_int b_stride = 0;
+    rocblas_int c_stride = 0;
+    rocblas_int d_stride = 0;
+    rocblas_datatype compute_type = rocblas_datatype_f32_r;
+    rocblas_datatype arg_type = rocblas_datatype_f32_r;
+    rocblas_datatype output_type = rocblas_datatype_f32_r;
+    bool strided_batched = true;
+    bool is_3inputs = true;
+    bool compute_fp32 = true;
 }; // gemm_impl
 
 void gemm_compute(context& ctx,