Move unit tests out of backend_test.in.cpp (#1865)

* comparisons

* move more unit test out of backend_test.in.cpp

* move more tests

* move more tests

test/CMakeLists.txt

@@ -95,7 +95,16 @@ add_subdirectory(util)
 # such as ${BACKEND_NAME} with their values, such as CPU, GPU, or INTERPRETER.
 set(MULTI_TEST_SRC
     autodiff.in.cpp
+    backend_binary_elementwise.in.cpp
+    backend_broadcast.in.cpp
+    backend_comparison.in.cpp
+    backend_dot.in.cpp
+    backend_one_hot.in.cpp
+    backend_reduce.in.cpp
+    backend_reshape.in.cpp
+    backend_sum.in.cpp
     backend_test.in.cpp
+    backend_unary_elementwise.in.cpp
     convolution_test.in.cpp
 )
 if(NGRAPH_DISTRIBUTED_ENABLE)
@@ -141,7 +150,7 @@ endif()
 if(NGRAPH_DISTRIBUTED_ENABLE)
     find_package(MPI REQUIRED)
     target_compile_definitions(unit-test PRIVATE NGRAPH_DISTRIBUTED)
-    target_include_directories(unit-test 
+    target_include_directories(unit-test
         SYSTEM PRIVATE ${MPI_C_INCLUDE_PATH} ${MPI_CXX_INCLUDE_PATH})
     target_link_libraries(unit-test PRIVATE ${MPI_C_LIBRARIES} ${MPI_CXX_LIBRARIES})
 endif()

test/backend_comparison.in.cpp

+//*****************************************************************************
+// Copyright 2017-2018 Intel Corporation
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//*****************************************************************************
+
+#include <algorithm>
+#include <cinttypes>
+#include <cmath>
+#include <cstdlib>
+#include <random>
+#include <string>
+#include "gtest/gtest.h"
+
+#include "ngraph/autodiff/adjoints.hpp"
+#include "ngraph/log.hpp"
+#include "ngraph/ngraph.hpp"
+#include "ngraph/serializer.hpp"
+#include "util/all_close.hpp"
+#include "util/all_close_f.hpp"
+#include "util/ndarray.hpp"
+#include "util/random.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}, equal)
+{
+    Shape shape{2, 2, 2};
+    auto A = make_shared<op::Parameter>(element::f32, shape);
+    auto B = make_shared<op::Parameter>(element::f32, shape);
+    auto f = make_shared<Function>(make_shared<op::Equal>(A, B), op::ParameterVector{A, B});
+
+    auto backend = runtime::Backend::create("${BACKEND_NAME}");
+
+    // Create some tensors for input/output
+    auto a = backend->create_tensor(element::f32, shape);
+    copy_data(a, vector<float>{1, 8, -8, 17, -0.5, 0, 1, 1});
+    auto b = backend->create_tensor(element::f32, shape);
+    copy_data(b, vector<float>{1, 8, 4, 8, 0, 0, 1, 1.5});
+    auto result = backend->create_tensor(element::boolean, shape);
+
+    backend->call_with_validate(f, {result}, {a, b});
+    EXPECT_EQ((vector<char>{1, 1, 0, 0, 0, 1, 1, 0}), read_vector<char>(result));
+}
+
+NGRAPH_TEST(${BACKEND_NAME}, notequal)
+{
+    Shape shape{2, 2, 2};
+    auto A = make_shared<op::Parameter>(element::f32, shape);
+    auto B = make_shared<op::Parameter>(element::f32, shape);
+    auto f = make_shared<Function>(make_shared<op::NotEqual>(A, B), op::ParameterVector{A, B});
+
+    auto backend = runtime::Backend::create("${BACKEND_NAME}");
+
+    // Create some tensors for input/output
+    auto a = backend->create_tensor(element::f32, shape);
+    copy_data(a, vector<float>{1, 8, -8, 17, -0.5, 0, 1, 1});
+    auto b = backend->create_tensor(element::f32, shape);
+    copy_data(b, vector<float>{1, 8, 4, 8, 0, 0, 1, 1.5});
+    auto result = backend->create_tensor(element::boolean, shape);
+
+    backend->call_with_validate(f, {result}, {a, b});
+    EXPECT_EQ((vector<char>{0, 0, 1, 1, 1, 0, 0, 1}), read_vector<char>(result));
+}
+
+NGRAPH_TEST(${BACKEND_NAME}, greater)
+{
+    Shape shape{2, 2, 2};
+    auto A = make_shared<op::Parameter>(element::f32, shape);
+    auto B = make_shared<op::Parameter>(element::f32, shape);
+    auto f = make_shared<Function>(make_shared<op::Greater>(A, B), op::ParameterVector{A, B});
+
+    auto backend = runtime::Backend::create("${BACKEND_NAME}");
+
+    // Create some tensors for input/output
+    auto a = backend->create_tensor(element::f32, shape);
+    copy_data(a, vector<float>{1, 8, -8, 17, -0.5, 0.5, 2, 1});
+    auto b = backend->create_tensor(element::f32, shape);
+    copy_data(b, vector<float>{1, 2, 4, 8, 0, 0, 1, 1.5});
+    auto result = backend->create_tensor(element::boolean, shape);
+
+    backend->call_with_validate(f, {result}, {a, b});
+    EXPECT_EQ((vector<char>{0, 1, 0, 1, 0, 1, 1, 0}), read_vector<char>(result));
+}
+
+NGRAPH_TEST(${BACKEND_NAME}, greatereq)
+{
+    Shape shape{2, 2, 2};
+    auto A = make_shared<op::Parameter>(element::f32, shape);
+    auto B = make_shared<op::Parameter>(element::f32, shape);
+    auto f = make_shared<Function>(make_shared<op::GreaterEq>(A, B), op::ParameterVector{A, B});
+
+    auto backend = runtime::Backend::create("${BACKEND_NAME}");
+
+    // Create some tensors for input/output
+    auto a = backend->create_tensor(element::f32, shape);
+    copy_data(a, vector<float>{1, 8, -8, 17, -0.5, 0, 2, 1});
+    auto b = backend->create_tensor(element::f32, shape);
+    copy_data(b, vector<float>{1, 2, -8, 8, 0, 0, 0.5, 1.5});
+    auto result = backend->create_tensor(element::boolean, shape);
+
+    backend->call_with_validate(f, {result}, {a, b});
+    EXPECT_EQ((vector<char>{1, 1, 1, 1, 0, 1, 1, 0}), read_vector<char>(result));
+}
+
+NGRAPH_TEST(${BACKEND_NAME}, less)
+{
+    Shape shape{2, 2, 2};
+    auto A = make_shared<op::Parameter>(element::f32, shape);
+    auto B = make_shared<op::Parameter>(element::f32, shape);
+    auto f = make_shared<Function>(make_shared<op::Less>(A, B), op::ParameterVector{A, B});
+
+    auto backend = runtime::Backend::create("${BACKEND_NAME}");
+
+    // Create some tensors for input/output
+    auto a = backend->create_tensor(element::f32, shape);
+    copy_data(a, vector<float>{1, 8, -8, 17, -0.5, 0.5, 2, 1});
+    auto b = backend->create_tensor(element::f32, shape);
+    copy_data(b, vector<float>{1, 2, 4, 8, 0, 0, 1, 1.5});
+    auto result = backend->create_tensor(element::boolean, shape);
+
+    backend->call_with_validate(f, {result}, {a, b});
+    EXPECT_EQ((vector<char>{0, 0, 1, 0, 1, 0, 0, 1}), read_vector<char>(result));
+}
+
+NGRAPH_TEST(${BACKEND_NAME}, lesseq)
+{
+    Shape shape{2, 2, 2};
+    auto A = make_shared<op::Parameter>(element::f32, shape);
+    auto B = make_shared<op::Parameter>(element::f32, shape);
+    auto f = make_shared<Function>(make_shared<op::LessEq>(A, B), op::ParameterVector{A, B});
+
+    auto backend = runtime::Backend::create("${BACKEND_NAME}");
+
+    // Create some tensors for input/output
+    auto a = backend->create_tensor(element::f32, shape);
+    copy_data(a, vector<float>{1, 8, -8, 17, -0.5, 0, 2, 1});
+    auto b = backend->create_tensor(element::f32, shape);
+    copy_data(b, vector<float>{1, 2, -8, 8, 0, 0, 0.5, 1.5});
+    auto result = backend->create_tensor(element::boolean, shape);
+
+    backend->call_with_validate(f, {result}, {a, b});
+    EXPECT_EQ((vector<char>{1, 0, 1, 0, 1, 1, 0, 1}), read_vector<char>(result));
+}
+
+NGRAPH_TEST(${BACKEND_NAME}, lesseq_bool)
+{
+    Shape shape{2, 2, 2};
+    auto A = make_shared<op::Parameter>(element::boolean, shape);
+    auto B = make_shared<op::Parameter>(element::boolean, shape);
+    auto f = make_shared<Function>(make_shared<op::LessEq>(A, B), op::ParameterVector{A, B});
+
+    auto backend = runtime::Backend::create("${BACKEND_NAME}");
+
+    // Create some tensors for input/output
+    auto a = backend->create_tensor(element::boolean, shape);
+    copy_data(a, vector<char>{1, 1, 1, 1, 1, 1, 1, 1});
+    auto b = backend->create_tensor(element::boolean, shape);
+    copy_data(b, vector<char>{0, 0, 0, 0, 0, 0, 0, 0});
+    auto result = backend->create_tensor(element::boolean, shape);
+
+    // Overwrite the initial result vector to make sure we're not just coincidentally getting the right value.
+    copy_data(result, vector<char>{1, 1, 1, 1, 1, 1, 1, 1});
+
+    backend->call_with_validate(f, {result}, {a, b});
+    EXPECT_EQ((vector<char>{0, 0, 0, 0, 0, 0, 0, 0}), read_vector<char>(result));
+}