Revise cos (#6429)

* Update docs

* create type_prop test for cos

* Create visitor test foor cos

* add RTTI macro

* Create separate ref impl for integer input

* add cos to SLT integer activation type

* add backend test for int input

* add cos to constants.py

* style apply

* fix spec

* add ngraph check for outputs and inputs

* fix inputs ngraph check

* remove unnecessary includes

* style dix

docs/ops/arithmetic/Cos_1.md

@@ -2,35 +2,32 @@
 
 **Versioned name**: *Cos-1*
 
-**Category**: Arithmetic unary operation 
+**Category**: Arithmetic unary operation
 
-**Short description**: *Cos* performs element-wise cosine operation with given tensor.
+**Short description**: *Cos* performs element-wise cosine operation on a given input tensor.
 
-**Attributes**:
-
-    No attributes available.
-
-**Inputs**
-
-* **1**: An tensor of type T. **Required.**
-
-**Outputs**
-
-* **1**: The result of element-wise cos operation. A tensor of type T.
-
-**Types**
-
-* *T*: any numeric type.
-
-*Cos* does the following with the input tensor *a*:
+**Detailed description**: *Cos* performs element-wise cosine operation on a given input tensor, based on the following mathematical formula:
 
 \f[
 a_{i} = cos(a_{i})
 \f]
 
-**Examples**
+**Attributes**: *Cos* operation has no attributes.
 
-*Example 1*
+**Inputs**
+
+* **1**: A tensor of type *T* and arbitrary shape. **Required.**
+
+**Outputs**
+
+* **1**: The result of element-wise *Cos* operation. A tensor of type *T* and the same shape as the input tensor.
+
+**Types**
+
+* *T*: any numeric type.
+
+
+**Example**
 
 ```xml
 <layer ... type="Cos">

inference-engine/tests/functional/plugin/cpu/shared_tests_instances/single_layer_tests/activation.cpp

@@ -67,6 +67,7 @@ const std::map<ActivationTypes, std::vector<std::vector<float>>> activationTypes
 const std::map<ActivationTypes, std::vector<std::vector<float>>> intActivationTypes = {
         {Negative,              {}},
         {Ceiling,               {}},
+        {Cos,                   {}},
         {Sqrt,                  {}},
         {Tanh,                  {}},
 };

inference-engine/tests/ie_test_utils/functional_test_utils/layer_tests_summary/utils/constants.py

@@ -21,6 +21,7 @@ VERIFIED_OP_REFERENCES = [
     'ConvertLike-1',
     'Convolution-1',
     'Constant-1',
+    'Cos-1',
     'DeformableConvolution-1',
     'DeformablePSROIPooling-1',
     'DetectionOutput-1',

ngraph/core/include/ngraph/op/cos.hpp

@@ -16,8 +16,8 @@ namespace ngraph
             class NGRAPH_API Cos : public util::UnaryElementwiseArithmetic
             {
             public:
-                static constexpr NodeTypeInfo type_info{"Cos", 0};
-                const NodeTypeInfo& get_type_info() const override { return type_info; }
+                NGRAPH_RTTI_DECLARATION;
+
                 /// \brief Constructs a cosine operation.
                 Cos() = default;
                 /// \brief Constructs a cosine operation.

ngraph/core/reference/include/ngraph/runtime/reference/cos.hpp

@@ -13,7 +13,8 @@ namespace ngraph
     {
         namespace reference
         {
-            template <typename T>
+            template <typename T,
+                      typename std::enable_if<!std::is_integral<T>::value, bool>::type = true>
             void cos(const T* arg, T* out, size_t count)
             {
                 for (size_t i = 0; i < count; i++)
@@ -21,6 +22,16 @@ namespace ngraph
                     out[i] = std::cos(arg[i]);
                 }
             }
+
+            template <typename T,
+                      typename std::enable_if<std::is_integral<T>::value, bool>::type = true>
+            void cos(const T* arg, T* out, size_t count)
+            {
+                for (size_t i = 0; i < count; i++)
+                {
+                    out[i] = std::roundl(std::cos(arg[i]));
+                }
+            }
         } // namespace reference
     }     // namespace runtime
 } // namespace ngraph

ngraph/core/src/op/cos.cpp

@@ -5,17 +5,16 @@
 #include "itt.hpp"
 
 #include "ngraph/op/cos.hpp"
-#include "ngraph/op/multiply.hpp"
-#include "ngraph/op/negative.hpp"
-#include "ngraph/op/sin.hpp"
 
 #include "ngraph/runtime/host_tensor.hpp"
 #include "ngraph/runtime/reference/cos.hpp"
 
+#include "ngraph/validation_util.hpp"
+
 using namespace std;
 using namespace ngraph;
 
-constexpr NodeTypeInfo op::Cos::type_info;
+NGRAPH_RTTI_DEFINITION(op::v0::Cos, "Cos", 0, util::UnaryElementwiseArithmetic);
 
 op::Cos::Cos(const Output<Node>& arg)
     : UnaryElementwiseArithmetic(arg)
@@ -69,6 +68,7 @@ namespace cosop
 bool op::Cos::evaluate(const HostTensorVector& outputs, const HostTensorVector& inputs) const
 {
     NGRAPH_OP_SCOPE(v0_Cos_evaluate);
+    NGRAPH_CHECK(validate_host_tensor_vector(outputs, 1) && validate_host_tensor_vector(inputs, 1));
     return cosop::evaluate_cos(inputs[0], outputs[0], shape_size(get_output_shape(0)));
 }
 

ngraph/test/CMakeLists.txt

@@ -110,6 +110,7 @@ set(SRC
     type_prop/convert.cpp
     type_prop/convolution.cpp
     type_prop/convolution_backprop_data.cpp
+    type_prop/cos.cpp
     type_prop/ctc_greedy_decoder.cpp
     type_prop/ctc_greedy_decoder_seq_len.cpp
     type_prop/ctc_loss.cpp
@@ -231,6 +232,7 @@ set(SRC
     visitors/op/constant.cpp
     visitors/op/convert.cpp
     visitors/op/convolution_backprop.cpp
+    visitors/op/cos.cpp
     visitors/op/cum_sum.cpp
     visitors/op/deformable_psroi_pooling.cpp
     visitors/op/depth_to_space.cpp

ngraph/test/backend/cos.in.cpp

@@ -2,23 +2,6 @@
 // SPDX-License-Identifier: Apache-2.0
 //
 
-#include <algorithm>
-#include <cinttypes>
-#include <cmath>
-#include <cstdlib>
-#include <random>
-#include <string>
-
-// clang-format off
-#ifdef ${BACKEND_NAME}_FLOAT_TOLERANCE_BITS
-#define DEFAULT_FLOAT_TOLERANCE_BITS ${BACKEND_NAME}_FLOAT_TOLERANCE_BITS
-#endif
-
-#ifdef ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS
-#define DEFAULT_DOUBLE_TOLERANCE_BITS ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS
-#endif
-// clang-format on
-
 #include "gtest/gtest.h"
 #include "ngraph/ngraph.hpp"
 #include "util/engine/test_engines.hpp"
@@ -31,7 +14,7 @@ using namespace ngraph;
 static string s_manifest = "${MANIFEST}";
 using TestEngine = test::ENGINE_CLASS_NAME(${BACKEND_NAME});
 
-NGRAPH_TEST(${BACKEND_NAME}, cos)
+NGRAPH_TEST(${BACKEND_NAME}, cos_float)
 {
     Shape shape{11};
     auto A = make_shared<op::Parameter>(element::f32, shape);
@@ -53,3 +36,16 @@ NGRAPH_TEST(${BACKEND_NAME}, cos)
                                           -0.65364362f});
     test_case.run();
 }
+
+NGRAPH_TEST(${BACKEND_NAME}, cos_int)
+{
+    Shape shape{5};
+    auto A = make_shared<op::Parameter>(element::i32, shape);
+    auto f = make_shared<Function>(make_shared<op::Cos>(A), ParameterVector{A});
+
+    auto test_case = test::TestCase<TestEngine>(f);
+    test_case.add_input<int32_t>({1, 2, 3, 4, 5});
+    test_case.add_expected_output<int32_t>(shape,
+                                         {1, 0, -1, -1, 0});
+    test_case.run();
+}

ngraph/test/type_prop/cos.cpp

@@ -0,0 +1,9 @@
+// Copyright (C) 2021 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#include "unary_ops.hpp"
+
+using Type = ::testing::Types<ngraph::op::Cos>;
+
+INSTANTIATE_TYPED_TEST_SUITE_P(type_prop_cos, UnaryOperator, Type);

ngraph/test/visitors/op/cos.cpp

@@ -0,0 +1,11 @@
+// Copyright (C) 2018-2021 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#include "unary_ops.hpp"
+using Type = ::testing::Types<UnaryOperatorType<ngraph::op::v0::Cos, element::f32>>;
+
+INSTANTIATE_TYPED_TEST_SUITE_P(visitor_without_attribute,
+                               UnaryOperatorVisitor,
+                               Type,
+                               UnaryOperatorTypeName);