From d917b22700d2d9b1a6b5cd82248010bfecc0163f Mon Sep 17 00:00:00 2001
From: "Hu, Yuan2" <yuan2.hu@intel.com>
Date: Wed, 21 Jul 2021 15:39:28 +0800
Subject: [PATCH] add template plugin test case for uint and float

remove the float test in backend

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>
---
 .../tests/functional/op_reference/tan.cpp     | 34 +++++-----
 ngraph/test/CMakeLists.txt                    |  1 -
 ngraph/test/backend/tan.in.cpp                | 64 -------------------
 3 files changed, 18 insertions(+), 81 deletions(-)
 delete mode 100644 ngraph/test/backend/tan.in.cpp

diff --git a/docs/template_plugin/tests/functional/op_reference/tan.cpp b/docs/template_plugin/tests/functional/op_reference/tan.cpp
index 74540c9ffad03c..837fc06617b7da 100644
--- a/docs/template_plugin/tests/functional/op_reference/tan.cpp
+++ b/docs/template_plugin/tests/functional/op_reference/tan.cpp
@@ -57,23 +57,25 @@ TEST_P(ReferenceTanLayerTest, CompareWithHardcodedRefs) {
     Exec();
 }
 
-template <element::Type_t IN_ET>
-std::vector<TanParams> generateTanParamsInt(const ngraph::element::Type& type) {
-    using T = typename element_type_traits<IN_ET>::value_type;
-    std::vector<TanParams> tanParams {
-        TanParams(ngraph::PartialShape {5}, type, std::vector<T> {-2, -1, 0, 1, 2},
-                  std::vector<T> {2, -2, 0, 2, -2})
-    };
-    return tanParams;
-}
-
 std::vector<TanParams> generateTanCombinedParams() {
-    const std::vector<std::vector<TanParams>> tanTypeParams {generateTanParamsInt<element::Type_t::i32>(ngraph::element::i32),
-                                                            generateTanParamsInt<element::Type_t::i64>(ngraph::element::i64)};
-    std::vector<TanParams> combinedParams;
-    std::for_each(tanTypeParams.begin(), tanTypeParams.end(), [&](std::vector<TanParams> params) {
-        combinedParams.insert(combinedParams.end(), params.begin(), params.end());
-    });
+    std::vector<TanParams> combinedParams {
+        TanParams(ngraph::PartialShape {5}, ngraph::element::i32, std::vector<int32_t> {-2, -1, 0, 1, 2},
+                  std::vector<int32_t> {2, -2, 0, 2, -2}),
+        TanParams(ngraph::PartialShape {5}, ngraph::element::i64, std::vector<int64_t> {-2, -1, 0, 1, 2},
+                  std::vector<int64_t> {2, -2, 0, 2, -2}),
+        TanParams(ngraph::PartialShape {5}, ngraph::element::u32, std::vector<uint32_t> {1, 2, 3, 4, 5},
+                  std::vector<uint32_t> {2, 0xFFFFFFFF - 1, 0, 1, 0xFFFFFFFF - 2}),
+        TanParams(ngraph::PartialShape {5}, ngraph::element::u64, std::vector<uint64_t> {1, 2, 3, 4, 5},
+                  std::vector<uint64_t> {2, 0xFFFFFFFFFFFFFFFF - 1, 0, 1, 0xFFFFFFFFFFFFFFFF - 2}),
+        TanParams(ngraph::PartialShape {11}, ngraph::element::f32, std::vector<float> {0.f, 0.25f,
+                      -0.25f, 0.5f, -0.5f, 1.f, -1.f, 2.f, -2.f, 4.f, -4.f},
+                  std::vector<float> {0.00000000f, 0.25534192f, -0.25534192f, 0.54630249f, -0.54630249f,
+                       1.55740772f, -1.55740772f, -2.18503986f, 2.18503986f, 1.15782128f, -1.15782128f}),
+        TanParams(ngraph::PartialShape {11}, ngraph::element::f16, std::vector<float16> {0.f, 0.25f,
+                      -0.25f, 0.5f, -0.5f, 1.f, -1.f, 2.f, -2.f, 4.f, -4.f},
+                  std::vector<float16> {0.00000000f, 0.25534192f, -0.25534192f, 0.54630249f, -0.54630249f,
+                       1.55740772f, -1.55740772f, -2.18503986f, 2.18503986f, 1.15782128f, -1.15782128f})
+    };
     return combinedParams;
 }
 
diff --git a/ngraph/test/CMakeLists.txt b/ngraph/test/CMakeLists.txt
index e9435a1d14b4d4..82b988a7375cfe 100644
--- a/ngraph/test/CMakeLists.txt
+++ b/ngraph/test/CMakeLists.txt
@@ -520,7 +520,6 @@ set(MULTI_TEST_SRC
     backend/squeeze.in.cpp
     backend/subtract.in.cpp
     backend/swish.in.cpp
-    backend/tan.in.cpp
     backend/tanh.in.cpp
     backend/tile.in.cpp
     backend/topk.in.cpp
diff --git a/ngraph/test/backend/tan.in.cpp b/ngraph/test/backend/tan.in.cpp
deleted file mode 100644
index a234639d73d1ef..00000000000000
--- a/ngraph/test/backend/tan.in.cpp
+++ /dev/null
@@ -1,64 +0,0 @@
-// Copyright (C) 2018-2021 Intel Corporation
-// 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 ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS
-#endif
-// clang-format on
-
-#include "gtest/gtest.h"
-#include "runtime/backend.hpp"
-#include "ngraph/runtime/tensor.hpp"
-#include "ngraph/ngraph.hpp"
-#include "util/all_close.hpp"
-#include "util/all_close_f.hpp"
-#include "util/ndarray.hpp"
-#include "util/test_control.hpp"
-#include "util/test_tools.hpp"
-
-using namespace std;
-using namespace ngraph;
-
-static string s_manifest = "${MANIFEST}";
-
-NGRAPH_TEST(${BACKEND_NAME}, tan_float)
-{
-    Shape shape{11};
-    auto A = make_shared<op::Parameter>(element::f32, shape);
-    auto f = make_shared<Function>(make_shared<op::Tan>(A), ParameterVector{A});
-
-    auto backend = runtime::Backend::create("${BACKEND_NAME}");
-
-    // Create some tensors for input/output
-    auto a = backend->create_tensor(element::f32, shape);
-    vector<float> input{0.f, 0.25f, -0.25f, 0.5f, -0.5f, 1.f, -1.f, 2.f, -2.f, 4.f, -4.f};
-    copy_data(a, input);
-    auto result = backend->create_tensor(element::f32, shape);
-    auto handle = backend->compile(f);
-    handle->call_with_validate({result}, {a});
-    EXPECT_TRUE(test::all_close_f(vector<float>{0.00000000f,
-                                                0.25534192f,
-                                                -0.25534192f,
-                                                0.54630249f,
-                                                -0.54630249f,
-                                                1.55740772f,
-                                                -1.55740772f,
-                                                -2.18503986f,
-                                                2.18503986f,
-                                                1.15782128f,
-                                                -1.15782128f},
-                                  read_vector<float>(result)));
-}