[IE CLDNN] Extend resample int8 packing optimization

This extends resample optimization for 8-bit types that uses feature
packed to mode to process multiple features in one work-item to features
not being multiple of packing factor.

For nearest resampling it is safe to copy extra feature padding for
blocked formats, so this change only removes this condition.

inference-engine/thirdparty/clDNN/kernel_selector/core/actual_kernels/resample/resample_kernel_ref.cpp

@@ -72,7 +72,9 @@ static size_t packing_factor(const resample_params& params) {
     size_t input_factor = get_layout_packing_factor(params.inputs[0].GetLayout());
     size_t output_factor = get_layout_packing_factor(params.output.GetLayout());
 
-    return std::min(input_factor, output_factor);
+    if (input_factor % output_factor == 0 || output_factor % input_factor == 0)
+        return std::min(input_factor, output_factor);
+    return 1;
 }
 
 static bool use_packing(const resample_params& params) {
@@ -83,8 +85,7 @@ static bool use_packing(const resample_params& params) {
     if (pack == 1)
         return false;
 
-    if (params.inputs[0].Feature().v % pack != 0 || params.output.Feature().v % pack != 0 ||
-        params.inputs[0].Feature().pad.before % pack != 0 || params.output.Feature().pad.before % pack != 0)
+    if (params.inputs[0].Feature().pad.before % pack != 0 || params.output.Feature().pad.before % pack != 0)
         return false;
 
     auto packed_work_items = params.output.X().v * params.output.Y().v * params.output.Z().v

inference-engine/thirdparty/clDNN/tests/test_cases/resample_gpu_test.cpp

@@ -775,4 +775,6 @@ INSTANTIATE_TEST_CASE_P(smoke,
 
                             .smoke_params(data_types::f32, format::b_fs_yx_fsv16, format::b_fs_yx_fsv16)
                             .smoke_params(data_types::f16, format::b_fs_yx_fsv16, format::b_fs_yx_fsv16)
+                            .smoke_params(data_types::i8, format::b_fs_yx_fsv16, format::b_fs_yx_fsv16)
+                            .smoke_params(data_types::u8, format::b_fs_yx_fsv16, format::b_fs_yx_fsv16)
                         ), );