add sqrt activation support in cpu_impl (openvinotoolkit#19421)

src/plugins/intel_gpu/src/graph/impls/cpu/activation.cpp

@@ -44,6 +44,7 @@
 #include "openvino/op/sign.hpp"
 #include "openvino/op/hsigmoid.hpp"
 #include "openvino/op/round.hpp"
+#include "openvino/op/sqrt.hpp"
 
 namespace cldnn {
 namespace cpu {
@@ -235,6 +236,8 @@ struct activation_impl : public typed_primitive_impl<activation> {
                 op = round_op;
                 break;
             }
+            case activation_func::sqrt:
+                op = std::make_shared<ov::op::v0::Sqrt>(); break;
             case activation_func::hard_sigmoid:
             case activation_func::selu:
             default:

src/plugins/intel_gpu/tests/functional/subgraph_tests/dynamic/dynamic_smoke_test_shape_of_activation.cpp

@@ -0,0 +1,176 @@
+// Copyright (C) 2018-2023 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+#include <tuple>
+#include <string>
+#include <vector>
+#include <memory>
+#include "ngraph_functions/utils/ngraph_helpers.hpp"
+#include "ngraph_functions/builders.hpp"
+#include "shared_test_classes/base/ov_subgraph.hpp"
+#include "shared_test_classes/single_layer/shape_of.hpp"
+#include "shared_test_classes/single_layer/reshape.hpp"
+#include "shared_test_classes/single_layer/gather.hpp"
+#include "shared_test_classes/single_layer/activation.hpp"
+#include <common_test_utils/ov_tensor_utils.hpp>
+
+using namespace ngraph;
+using namespace InferenceEngine;
+using namespace ov::test;
+
+namespace GPULayerTestsDefinitions {
+
+typedef std::tuple<
+        InputShape, // input shapes
+        ElementType, // Network precision
+        TargetDevice, // Device name
+        ngraph::helpers::ActivationTypes, // Activation type
+        std::vector<size_t>, //inShape
+        std::vector<float>, //constantValue
+        std::map<std::string, std::string> // Additional network configuration
+> shapeofActivationDynamicGPUTestParamsSet;
+
+const std::vector<ElementType> netPrecisions = {
+    ElementType::f16,
+    ElementType::f32,
+};
+
+class shapeofActivationDynamicGPUTest : public testing::WithParamInterface<shapeofActivationDynamicGPUTestParamsSet>,
+                             virtual public SubgraphBaseTest {
+public:
+    static std::string getTestCaseName(const testing::TestParamInfo<shapeofActivationDynamicGPUTestParamsSet>& obj) {
+        shapeofActivationDynamicGPUTestParamsSet basicParamsSet = obj.param;
+        std::ostringstream result;
+        InputShape inputShape;
+        ElementType netType;
+        TargetDevice targetDevice;
+        ngraph::helpers::ActivationTypes activationType;
+        std::vector<size_t> inShape;
+        std::vector<float> constantValue;
+        std::map<std::string, std::string> additionalConfig;
+
+        std::tie(inputShape, netType, targetDevice, activationType, inShape, constantValue, additionalConfig) = basicParamsSet;
+        result << "IS=";
+        result << ov::test::utils::partialShape2str({inputShape.first}) << "_";
+        for (const auto& actual_shape : inputShape.second) {
+            result << ov::test::utils::partialShape2str({actual_shape}) << "_";
+        }
+        result << "NetType=" << netType << "_";
+        result << "targetDevice=" << targetDevice << "_";
+        result << "activatioinType=" << activationType << "_";
+        result << "inShape=" << ov::test::utils::vec2str(inShape) << "_";
+        result << "constantValue=" << ov::test::utils::vec2str(constantValue);
+        return result.str();
+    }
+
+protected:
+     void generate_inputs(const std::vector<ngraph::Shape>& targetInputStaticShapes) override {
+          inputs.clear();
+          const auto& funcInputs = function->inputs();
+          for (size_t i = 0; i < funcInputs.size(); ++i) {
+              const auto& funcInput = funcInputs[i];
+              ov::Tensor tensor;
+              tensor = ov::test::utils::create_and_fill_tensor(funcInput.get_element_type(),
+                                                               targetInputStaticShapes[i],
+                                                               80,
+                                                               0,
+                                                               8);
+              inputs.insert({funcInput.get_node_shared_ptr(), tensor});
+          }
+    }
+
+    void SetUp() override {
+        shapeofActivationDynamicGPUTestParamsSet basicParamsSet = this->GetParam();
+        InputShape inputShape;
+        ElementType netType;
+        ngraph::helpers::ActivationTypes activationType;
+        std::vector<size_t> inShape;
+        std::vector<float> constantValue;
+        std::map<std::string, std::string> additionalConfig;
+        std::tie(inputShape, netType, targetDevice, activationType, inShape, constantValue, additionalConfig) = basicParamsSet;
+
+        init_input_shapes({inputShape});
+
+        ov::ParameterVector params;
+        for (auto&& shape : inputDynamicShapes) {
+            params.push_back(std::make_shared<ov::op::v0::Parameter>(netType, shape));
+        }
+        auto paramOuts = helpers::convert2OutputVector(ngraph::helpers::castOps2Nodes<ngraph::opset3::Parameter>(params));
+
+        std::vector<int> shape_pattern = {0, 1, -1, 0};
+        auto shapePatternsNode = std::dynamic_pointer_cast<ngraph::Node>(
+                                 std::make_shared<ngraph::opset3::Constant>(ngraph::element::Type_t::i64, ngraph::Shape({4}), shape_pattern));
+        auto reshapeOp = std::make_shared<ngraph::opset1::Reshape>(paramOuts[0], shapePatternsNode, true);
+        reshapeOp->set_friendly_name("reshape");
+
+        auto shapeOfOp = std::make_shared<ngraph::opset3::ShapeOf>(reshapeOp, ElementType::i32);
+        shapeOfOp->set_friendly_name("shapeof");
+
+        std::vector<int> indices = {0};
+        auto indicesNode = std::dynamic_pointer_cast<ngraph::Node>(
+                                 std::make_shared<ngraph::opset3::Constant>(ngraph::element::Type_t::i32, ngraph::Shape({1}), indices));
+        std::vector<int> axis = {-1};
+        auto axisNode = std::dynamic_pointer_cast<ngraph::Node>(
+                                 std::make_shared<ngraph::opset3::Constant>(ngraph::element::Type_t::i32, ngraph::Shape({1}), axis));
+        auto gatherOp = std::make_shared<ov::op::v7::Gather>(shapeOfOp, indicesNode, axisNode, 0);
+        gatherOp->set_friendly_name("gather");
+
+        auto convertOp = ngraph::builder::makeConversion(gatherOp, ElementType::f32,
+                                                         ngraph::helpers::ConversionTypes::CONVERT);
+        convertOp->set_friendly_name("convert");
+
+        auto activationOp = ngraph::builder::makeActivation(convertOp,
+                                                            netType,
+                                                            activationType,
+                                                            inShape,
+                                                            constantValue);
+        activationOp->set_friendly_name("sqrt");
+
+        ngraph::ResultVector results = {std::make_shared<ngraph::opset1::Result>(activationOp)};
+        function = std::make_shared<ngraph::Function>(results, params, "result");
+    }
+};
+
+
+TEST_P(shapeofActivationDynamicGPUTest, CompareWithRefs) {
+    SKIP_IF_CURRENT_TEST_IS_DISABLED()
+    run();
+}
+
+namespace {
+std::map<std::string, std::string> emptyAdditionalConfig;
+std::vector<ov::test::InputShape> inShapesDynamic4d = {
+        {
+            {-1, -1, 1, 64},
+            {
+                { 1, 3136, 1, 64 },
+                { 1, 49, 1, 64 },
+                { 2, 49, 1, 64 }
+            }
+        },
+        {
+            {-1, -1, -1, -1},
+            {
+                { 1, 2, 3, 4 },
+                { 1, 2, 3, 3 },
+                { 1, 2, 3, 2 }
+            }
+        }
+};
+
+std::vector<size_t> inShape_sqrt = {};
+std::vector<float> constantValue_sqrt = {};
+
+const auto testParams_sqrt = ::testing::Combine(::testing::ValuesIn(inShapesDynamic4d),
+                                                 ::testing::ValuesIn(netPrecisions), // netprec
+                                                 ::testing::Values(ov::test::utils::DEVICE_GPU),
+                                                 ::testing::Values(ngraph::helpers::ActivationTypes::Sqrt),
+                                                 ::testing::Values(inShape_sqrt),
+                                                 ::testing::Values(constantValue_sqrt),
+                                                 ::testing::Values(emptyAdditionalConfig));
+
+// Activation type Sqrt should be supported in activation cpu_impl whic is selected after shapeOf
+INSTANTIATE_TEST_SUITE_P(smoke_dynamic_shapeof_activation_sqrt, shapeofActivationDynamicGPUTest,
+                         testParams_sqrt, shapeofActivationDynamicGPUTest::getTestCaseName);
+} // namespace
+} // namespace GPULayerTestsDefinitions