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subtract ref impl: add backend tests (#4612)

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Co-authored-by: Patryk Elszkowski <patryk.elszkowki@intel.com>
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Patryk Elszkowski 2021-03-11 05:03:40 +01:00 committed by GitHub
parent d7e6e47c7c
commit f5be898017
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1 changed files with 93 additions and 0 deletions
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93
ngraph/test/backend/subtract.in.cpp
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@ -87,3 +87,96 @@ NGRAPH_TEST(${BACKEND_NAME}, subtract_overload)
handle->call_with_validate({result}, {a, b});
EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 4, 8}), read_vector<float>(result)));
}
namespace
{
template <typename Value>
void subtract_broadcst()
{
const auto element_type = ngraph::element::from<Value>();
const Shape shape_a{3, 2, 1};
const Shape shape_b{1, 6};
const Shape shape_o{3, 2, 6};
std::vector<Value> in_a{12, 24, 36, 48, 60, 72};
std::vector<Value> in_b{1, 2, 3, 4, 6, 1};
// clang-format off
std::vector<Value> out{11, 10, 9, 8, 6, 11,
23, 22, 21, 20, 18, 23,
35, 34, 33, 32, 30, 35,
47, 46, 45, 44, 42, 47,
59, 58, 57, 56, 54, 59,
71, 70, 69, 68, 66, 71};
// clang-format on
auto A = make_shared<op::Parameter>(element_type, shape_a);
auto B = make_shared<op::Parameter>(element_type, shape_b);
auto f = make_shared<Function>(make_shared<op::v1::Subtract>(A, B), ParameterVector{A, B});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element_type, shape_a, in_a.data());
auto b = backend->create_tensor(element_type, shape_b, in_b.data());
auto result = backend->create_tensor(element_type, shape_o);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a, b});
EXPECT_EQ(out, read_vector<Value>(result));
}
} // namespace
NGRAPH_TEST(${BACKEND_NAME}, subtract_int32_broadcast)
{
subtract_broadcst<int32_t>();
}
NGRAPH_TEST(${BACKEND_NAME}, subtract_f32_broadcast)
{
subtract_broadcst<float>();
}
NGRAPH_TEST(${BACKEND_NAME}, subtract_int32_scalar)
{
Shape shape{};
auto A = make_shared<op::Parameter>(element::i32, shape);
auto B = make_shared<op::Parameter>(element::i32, shape);
auto f = make_shared<Function>(make_shared<op::v1::Subtract>(A, B), ParameterVector{A, B});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::i32, shape);
copy_data(a, vector<int32_t>{2});
auto b = backend->create_tensor(element::i32, shape);
copy_data(b, vector<int32_t>{8});
auto result = backend->create_tensor(element::i32, shape);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a, b});
EXPECT_EQ(vector<int32_t>{-6}, read_vector<int32_t>(result));
}
NGRAPH_TEST(${BACKEND_NAME}, subtract_f32_scalar)
{
Shape shape{};
auto A = make_shared<op::Parameter>(element::f32, shape);
auto B = make_shared<op::Parameter>(element::f32, shape);
auto f = make_shared<Function>(make_shared<op::v1::Subtract>(A, B), ParameterVector{A, B});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape);
copy_data(a, vector<float>{3.1});
auto b = backend->create_tensor(element::f32, shape);
copy_data(b, vector<float>{8});
auto result = backend->create_tensor(element::f32, shape);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a, b});
EXPECT_TRUE(test::all_close_f((vector<float>{-4.9}), read_vector<float>(result)));
}