IntelGPU backend: Types workaround removal (#1681)

* IntelGPU backend: Types workaround removal

* PR1681. Fix style

src/ngraph/runtime/intelgpu/intelgpu_layout.cpp

@@ -62,6 +62,14 @@ cldnn::data_types
     {
         return cldnn::data_types::u8;
     }
+    else if (element_type == ngraph::element::i32)
+    {
+        return cldnn::data_types::i32;
+    }
+    else if (element_type == ngraph::element::i64)
+    {
+        return cldnn::data_types::i64;
+    }
     else if (element_type == ngraph::element::f32)
     {
         return cldnn::data_types::f32;
@@ -120,22 +128,8 @@ cldnn::layout runtime::intelgpu::IntelGPULayout::create_cldnn_layout(
     const ngraph::element::Type& element_type, const Shape& element_shape)
 {
     const cldnn::format::type format = cldnn::format::bfyx;
-    cldnn::data_types data_type;
-    cldnn::tensor tensor;
-
-    // This is workaround for data types that are not supported by clDNN
-    // If the type is not supported, it treated as char*
-    // Example, "int64_t input[2, 3, 4]" will be "char input[192]"
-    if ((element_type == ngraph::element::i64) || (element_type == ngraph::element::i32))
-    {
-        data_type = cldnn::data_types::i8;
-        tensor = create_cldnn_tensor({shape_size(element_shape) * element_type.size()});
-    }
-    else
-    {
-        data_type = get_cldnn_type(element_type);
-        tensor = create_cldnn_tensor(element_shape);
-    }
+    const cldnn::data_types data_type = get_cldnn_type(element_type);
+    const cldnn::tensor tensor = create_cldnn_tensor(element_shape);
 
     return cldnn::layout(data_type, format, tensor);
 }

src/ngraph/runtime/intelgpu/unit_test.manifest

@@ -2,26 +2,20 @@ argmax_trivial
 argmin_trivial
 avg_pool_2d_2channel_2image_padded_only_above
 avg_pool_3d
-backwards_acos
 backwards_batch_norm_three_outputs
-backwards_ceiling
 backwards_dot_scalar_tensor
 backwards_dot_tensor3_tensor3
 backwards_dot_tensor_scalar
 backwards_dot_tensor_vector
-backwards_exp
-backwards_floor
 backwards_maxpool_n2_c1_hw5_3x3_str2_max
 backwards_maxpool_n4_c1_hw4_2x2_max
 backwards_replace_slice
 backwards_reverse_sequence_n3_c2_h3
 backwards_reverse_sequence_n4d2c3h2w2
-backwards_sign
 backwards_slice
 backwards_tanh
 batch_norm_one_output
 batch_norm_three_outputs
-concat_matrix_int64
 divide_by_zero_int32
 dot_matrix_vector_int64
 function_call