[ONNX] Erf test for integer values (#2778)

* [ONNX] Erf test for integer values

* [ONNX] switch off model_erf_int32 test on GPU

src/ngraph/runtime/gpu/unit_test.manifest

@@ -137,6 +137,7 @@ create_tensor_2_output
 erf
 zero_sized_erf
 model_erf
+model_erf_int32
 gather_no_axis
 gather
 gather_nd_scalar_from_2d

test/models/onnx/erf_int32.prototxt

+ir_version: 3
+producer_name: "nGraph ONNX Importer"
+graph {
+  node {
+    input: "x"
+    output: "y"
+    op_type: "Erf"
+  }
+  name: "erf_graph"
+  input {
+    name: "x"
+    type {
+      tensor_type {
+        elem_type: 6
+        shape {
+          dim {
+            dim_value: 5
+          }
+        }
+      }
+    }
+  }
+  output {
+    name: "y"
+    type {
+      tensor_type {
+        elem_type: 6
+        shape {
+          dim {
+            dim_value: 5
+          }
+        }
+      }
+    }
+  }
+}
+opset_import {
+  version: 9
+}

test/onnx_import.in.cpp

@@ -2849,3 +2849,18 @@ NGRAPH_TEST(onnx_${BACKEND_NAME}, model_erf)
 
     EXPECT_TRUE(test::all_close_f(expected_outputs, outputs.front()));
 }
+
+NGRAPH_TEST(onnx_${BACKEND_NAME}, model_erf_int32)
+{
+    const auto function = onnx_import::import_onnx_model(
+        file_util::path_join(SERIALIZED_ZOO, "onnx/erf_int32.prototxt"));
+
+    const std::vector<std::vector<int32_t>> inputs{
+        {-std::numeric_limits<int32_t>::max(), -1, 0, 1, std::numeric_limits<int32_t>::max()}};
+
+    const std::vector<int32_t> expected_outputs{-1, 0, 0, 0, 1};
+
+    const std::vector<std::vector<int32_t>> outputs{execute(function, inputs, "${BACKEND_NAME}")};
+
+    EXPECT_TRUE(test::all_close(expected_outputs, outputs.front()));
+}