#include "util/test_control.hpp"
#include "util/test_tools.hpp"
+NGRAPH_SUPPRESS_DEPRECATED_START
+
using namespace std;
using namespace ngraph;
static string s_manifest = "${MANIFEST}";
-NGRAPH_TEST(${BACKEND_NAME}, quantized_convolution)
-{
- Shape shape_a{1, 1, 3, 4};
- Shape shape_b{1, 1, 3, 3};
- Shape shape_r{1, 1, 3, 4};
- vector<uint8_t> a_data = {1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4};
- vector<int8_t> b_data = {1, 2, 3, 4, 5, 0, 0, 1, 2};
- auto A = make_shared<op::Parameter>(element::u8, shape_a);
- auto B = make_shared<op::Parameter>(element::i8, shape_b);
- auto C = make_shared<op::Parameter>(element::f32, Shape{});
- auto D = make_shared<op::Parameter>(element::f32, Shape{});
- auto E = make_shared<op::Parameter>(element::f32, Shape{});
- auto F = make_shared<op::Parameter>(element::f32, Shape{});
- auto G = make_shared<op::Parameter>(element::f32, Shape{});
- auto H = make_shared<op::Parameter>(element::f32, Shape{});
- auto CV = ngraph::builder::QuantizedConvolutionBuilder(A,
- B,
- Strides{1, 1},
- Strides{1, 1},
- CoordinateDiff{1, 1},
- CoordinateDiff{1, 1},
- Strides{1, 1},
- C,
- D,
- E,
- F,
- G,
- H,
- element::i8);
- auto f = make_shared<Function>(NodeVector{CV}, ParameterVector{A, B, C, D, E, F, G, H});
- auto backend = runtime::Backend::create("${BACKEND_NAME}");
- // Create some tensors for input/output
- auto a = backend->create_tensor(element::u8, shape_a);
- copy_data(a, a_data);
- auto b = backend->create_tensor(element::i8, shape_b);
- copy_data(b, b_data);
- auto d = backend->create_tensor(element::f32, Shape{});
- copy_data(d, vector<float>{0.0f});
- auto e = backend->create_tensor(element::f32, Shape{});
- copy_data(e, vector<float>{255.0f});
- auto e_a = backend->create_tensor(element::f32, Shape{});
- copy_data(e_a, vector<float>{-127.0f});
- auto g = backend->create_tensor(element::f32, Shape{});
- copy_data(g, vector<float>{127.0f});
- auto h = backend->create_tensor(element::f32, Shape{});
- copy_data(h, vector<float>{22.0f});
- auto i = backend->create_tensor(element::f32, Shape{});
- copy_data(i, vector<float>{90.0f});
- auto result = backend->create_tensor(element::i8, shape_r);
- auto handle = backend->compile(f);
- handle->call_with_validate({result}, {a, b, d, e, e_a, g, h, i});
- EXPECT_EQ((vector<int8_t>{31, 48, 42, 45, 54, 102, 127, 61, 47, 73, 61, 55}),
- read_vector<int8_t>(result));
-}
-
NGRAPH_TEST(${BACKEND_NAME}, quantized_conv_int32_output)
{
Shape shape_a{1, 1, 3, 4};