578 lines
24 KiB
C++
578 lines
24 KiB
C++
// Copyright (C) 2018-2021 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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//
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#include "gtest/gtest.h"
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#include "ngraph/ngraph.hpp"
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#include "util/all_close.hpp"
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#include "util/all_close_f.hpp"
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#include "util/known_element_types.hpp"
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#include "util/ndarray.hpp"
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#include "util/test_control.hpp"
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#include "util/test_tools.hpp"
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using namespace std;
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using namespace ngraph;
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static string s_manifest = "${MANIFEST}";
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// ----------------------- keep dims = false ----------------------- //
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NGRAPH_TEST(${BACKEND_NAME}, reduce_product_to_scalar)
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{
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Shape shape{2, 2};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
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auto f =
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make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, false), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{1, 2, 3, 4});
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auto result = backend->create_tensor(element::f32, Shape{});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f((vector<float>{24}), read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, reduce_product_matrix_columns)
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{
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Shape shape_a{3, 2};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_rt{2};
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auto axes = make_shared<op::Constant>(element::i32, Shape{}, 0);
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auto f =
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make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, false), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
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auto result = backend->create_tensor(element::f32, shape_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f((vector<float>{15, 48}), read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, reduce_product_matrix_rows)
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{
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Shape shape_a{3, 2};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_rt{3};
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auto axes = make_shared<op::Constant>(element::i32, Shape{}, 1);
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auto f =
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make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, false), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
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auto result = backend->create_tensor(element::f32, shape_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f((vector<float>{2, 12, 30}), read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, reduce_product_3d_to_matrix_most_sig)
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{
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Shape shape_a{3, 3, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_rt{3, 3};
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auto axes = make_shared<op::Constant>(element::i32, Shape{}, 0);
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auto f =
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make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, false), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
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15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27});
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auto result = backend->create_tensor(element::f32, shape_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f((vector<float>{1 * 10 * 19,
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2 * 11 * 20,
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3 * 12 * 21,
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4 * 13 * 22,
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5 * 14 * 23,
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6 * 15 * 24,
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7 * 16 * 25,
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8 * 17 * 26,
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9 * 18 * 27}),
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read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, reduce_product_3d_to_matrix_least_sig)
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{
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Shape shape_a{3, 3, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_rt{3, 3};
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auto axes = make_shared<op::Constant>(element::i32, Shape{}, 2);
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auto f =
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make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, false), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
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15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27});
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auto result = backend->create_tensor(element::f32, shape_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f((vector<float>{1 * 2 * 3,
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4 * 5 * 6,
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7 * 8 * 9,
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10 * 11 * 12,
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13 * 14 * 15,
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16 * 17 * 18,
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19 * 20 * 21,
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22 * 23 * 24,
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25 * 26 * 27}),
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read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, reduce_product_3d_to_vector)
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{
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Shape shape_a{3, 3, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_rt{3};
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auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
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auto f =
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make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, false), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
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15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27});
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auto result = backend->create_tensor(element::f32, shape_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f(
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(vector<float>{1.0f * 10.0f * 19.0f * 4.0f * 13.0f * 22.0f * 7.0f * 16.0f * 25.0f,
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2.0f * 11.0f * 20.0f * 5.0f * 14.0f * 23.0f * 8.0f * 17.0f * 26.0f,
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3.0f * 12.0f * 21.0f * 6.0f * 15.0f * 24.0f * 9.0f * 18.0f * 27.0f}),
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read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, reduce_product_3d_to_scalar)
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{
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Shape shape_a{3, 3, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_rt{};
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auto axes = make_shared<op::Constant>(element::i32, Shape{3}, vector<int32_t>{0, 1, 2});
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auto f =
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make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, false), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
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13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1});
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auto result = backend->create_tensor(element::f32, shape_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f(vector<float>{1.0f * 10.0f * 9.0f * 4.0f * 13.0f * 6.0f * 7.0f *
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12.0f * 3.0f * 2.0f * 11.0f * 8.0f * 5.0f * 14.0f *
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5.0f * 8.0f * 11.0f * 2.0f * 3.0f * 12.0f * 7.0f *
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6.0f * 13.0f * 4.0f * 9.0f * 10.0f * 1.0f},
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read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, reduce_product_2d_to_scalar_int32)
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{
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Shape shape_a{3, 3};
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auto A = make_shared<op::Parameter>(element::i32, shape_a);
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Shape shape_rt{};
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auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
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auto f =
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make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, false), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::i32, shape_a);
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copy_data(a, vector<int32_t>{1, 2, 3, 4, 5, 6, 7, 8, 9});
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auto result = backend->create_tensor(element::i32, shape_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ(vector<int32_t>{1 * 2 * 3 * 4 * 5 * 6 * 7 * 8 * 9}, read_vector<int32_t>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, reduce_product_to_scalar_int32)
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{
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Shape shape{2, 2};
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auto A = make_shared<op::Parameter>(element::i32, shape);
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auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
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auto f =
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make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, false), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::i32, shape);
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copy_data(a, vector<int32_t>{1, 2, 3, 4});
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auto result = backend->create_tensor(element::i32, Shape{});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<int32_t>{24}), read_vector<int32_t>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, reduce_product_to_scalar_int8)
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{
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Shape shape{2, 2};
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auto A = make_shared<op::Parameter>(element::i8, shape);
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auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
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auto f =
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make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, false), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::i8, shape);
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copy_data(a, vector<int8_t>{1, 2, 3, 4});
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auto result = backend->create_tensor(element::i8, Shape{});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ((vector<int8_t>{24}), read_vector<int8_t>(result));
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}
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// ----------------------- keep dims = true ----------------------- //
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NGRAPH_TEST(${BACKEND_NAME}, reduce_product_keep_to_scalar)
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{
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Shape shape{2, 2};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
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auto f =
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make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, true), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{1, 2, 3, 4});
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auto result = backend->create_tensor(element::f32, Shape{1, 1});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f((vector<float>{24}), read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, reduce_product_keep_matrix_columns)
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{
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Shape shape_a{3, 2};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_rt{1, 2};
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auto axes = make_shared<op::Constant>(element::i32, Shape{}, 0);
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auto f =
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make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, true), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
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auto result = backend->create_tensor(element::f32, shape_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f((vector<float>{15, 48}), read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, reduce_product_keep_matrix_rows)
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{
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Shape shape_a{3, 2};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_rt{3, 1};
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auto axes = make_shared<op::Constant>(element::i32, Shape{}, 1);
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auto f =
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make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, true), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
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auto result = backend->create_tensor(element::f32, shape_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f((vector<float>{2, 12, 30}), read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, reduce_product_keep_3d_to_matrix_most_sig)
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{
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Shape shape_a{3, 3, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_rt{1, 3, 3};
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auto axes = make_shared<op::Constant>(element::i32, Shape{}, 0);
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auto f =
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make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, true), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
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15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27});
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auto result = backend->create_tensor(element::f32, shape_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f((vector<float>{1 * 10 * 19,
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2 * 11 * 20,
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3 * 12 * 21,
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4 * 13 * 22,
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5 * 14 * 23,
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6 * 15 * 24,
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7 * 16 * 25,
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8 * 17 * 26,
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9 * 18 * 27}),
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read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, reduce_product_keep_3d_to_matrix_least_sig)
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{
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Shape shape_a{3, 3, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_rt{3, 3, 1};
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auto axes = make_shared<op::Constant>(element::i32, Shape{}, 2);
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auto f =
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make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, true), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
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15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27});
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auto result = backend->create_tensor(element::f32, shape_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f((vector<float>{1 * 2 * 3,
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4 * 5 * 6,
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7 * 8 * 9,
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10 * 11 * 12,
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13 * 14 * 15,
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16 * 17 * 18,
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19 * 20 * 21,
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22 * 23 * 24,
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25 * 26 * 27}),
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read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, reduce_product_keep_3d_to_vector)
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{
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Shape shape_a{3, 3, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_rt{1, 1, 3};
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auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
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auto f =
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make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, true), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
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15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27});
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auto result = backend->create_tensor(element::f32, shape_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f(
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(vector<float>{1.0f * 10.0f * 19.0f * 4.0f * 13.0f * 22.0f * 7.0f * 16.0f * 25.0f,
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2.0f * 11.0f * 20.0f * 5.0f * 14.0f * 23.0f * 8.0f * 17.0f * 26.0f,
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3.0f * 12.0f * 21.0f * 6.0f * 15.0f * 24.0f * 9.0f * 18.0f * 27.0f}),
|
|
read_vector<float>(result)));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, reduce_product_keep_3d_to_scalar)
|
|
{
|
|
Shape shape_a{3, 3, 3};
|
|
auto A = make_shared<op::Parameter>(element::f32, shape_a);
|
|
Shape shape_rt{1, 1, 1};
|
|
auto axes = make_shared<op::Constant>(element::i32, Shape{3}, vector<int32_t>{0, 1, 2});
|
|
auto f =
|
|
make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, true), ParameterVector{A});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}");
|
|
|
|
// Create some tensors for input/output
|
|
auto a = backend->create_tensor(element::f32, shape_a);
|
|
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
|
|
13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1});
|
|
auto result = backend->create_tensor(element::f32, shape_rt);
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_TRUE(test::all_close_f(vector<float>{1.0f * 10.0f * 9.0f * 4.0f * 13.0f * 6.0f * 7.0f *
|
|
12.0f * 3.0f * 2.0f * 11.0f * 8.0f * 5.0f * 14.0f *
|
|
5.0f * 8.0f * 11.0f * 2.0f * 3.0f * 12.0f * 7.0f *
|
|
6.0f * 13.0f * 4.0f * 9.0f * 10.0f * 1.0f},
|
|
read_vector<float>(result)));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, reduce_product_keep_2d_to_scalar_int32)
|
|
{
|
|
Shape shape_a{3, 3};
|
|
auto A = make_shared<op::Parameter>(element::i32, shape_a);
|
|
Shape shape_rt{1, 1};
|
|
auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
|
|
auto f =
|
|
make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, true), ParameterVector{A});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}");
|
|
|
|
// Create some tensors for input/output
|
|
auto a = backend->create_tensor(element::i32, shape_a);
|
|
copy_data(a, vector<int32_t>{1, 2, 3, 4, 5, 6, 7, 8, 9});
|
|
auto result = backend->create_tensor(element::i32, shape_rt);
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_EQ(vector<int32_t>{1 * 2 * 3 * 4 * 5 * 6 * 7 * 8 * 9}, read_vector<int32_t>(result));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, reduce_product_keep_to_scalar_int32)
|
|
{
|
|
Shape shape{2, 2};
|
|
auto A = make_shared<op::Parameter>(element::i32, shape);
|
|
auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
|
|
auto f =
|
|
make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, true), ParameterVector{A});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}");
|
|
|
|
// Create some tensors for input/output
|
|
auto a = backend->create_tensor(element::i32, shape);
|
|
copy_data(a, vector<int32_t>{1, 2, 3, 4});
|
|
auto result = backend->create_tensor(element::i32, Shape{1, 1});
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_EQ((vector<int32_t>{24}), read_vector<int32_t>(result));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, reduce_product_keep_to_scalar_int8)
|
|
{
|
|
Shape shape{2, 2};
|
|
auto A = make_shared<op::Parameter>(element::i8, shape);
|
|
auto axes = make_shared<op::Constant>(element::i32, Shape{2}, vector<int32_t>{0, 1});
|
|
auto f =
|
|
make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, true), ParameterVector{A});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}");
|
|
|
|
// Create some tensors for input/output
|
|
auto a = backend->create_tensor(element::i8, shape);
|
|
copy_data(a, vector<int8_t>{1, 2, 3, 4});
|
|
auto result = backend->create_tensor(element::i8, Shape{1, 1});
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_EQ((vector<int8_t>{24}), read_vector<int8_t>(result));
|
|
}
|
|
|
|
// Dynamic
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, reduce_product_matrix_columns_dynamic)
|
|
{
|
|
auto A = make_shared<op::Parameter>(element::f32, PartialShape::dynamic());
|
|
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 0);
|
|
auto f =
|
|
make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, false), ParameterVector{A});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}", true);
|
|
|
|
// Create some tensors for input/output
|
|
Shape shape_a{3, 2};
|
|
auto a = backend->create_tensor(element::f32, shape_a);
|
|
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
|
|
auto result = backend->create_dynamic_tensor(element::f32, PartialShape::dynamic());
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_TRUE(test::all_close_f((vector<float>{15, 48}), read_vector<float>(result)));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, reduce_product_matrix_rows_dynamic)
|
|
{
|
|
auto A = make_shared<op::Parameter>(element::f32, PartialShape::dynamic());
|
|
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 1);
|
|
auto f =
|
|
make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, false), ParameterVector{A});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}", true);
|
|
|
|
// Create some tensors for input/output
|
|
Shape shape_a{3, 2};
|
|
auto a = backend->create_tensor(element::f32, shape_a);
|
|
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
|
|
auto result = backend->create_dynamic_tensor(element::f32, PartialShape::dynamic());
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_TRUE(test::all_close_f((vector<float>{2, 12, 30}), read_vector<float>(result)));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, reduce_product_keep_matrix_columns_dynamic)
|
|
{
|
|
auto A = make_shared<op::Parameter>(element::f32, PartialShape::dynamic());
|
|
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 0);
|
|
auto f =
|
|
make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, true), ParameterVector{A});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}", true);
|
|
|
|
// Create some tensors for input/output
|
|
Shape shape_a{3, 2};
|
|
auto a = backend->create_tensor(element::f32, shape_a);
|
|
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
|
|
auto result = backend->create_dynamic_tensor(element::f32, PartialShape::dynamic());
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_TRUE(test::all_close_f((vector<float>{15, 48}), read_vector<float>(result)));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, reduce_product_keep_matrix_rows_dynamic)
|
|
{
|
|
auto A = make_shared<op::Parameter>(element::f32, PartialShape::dynamic());
|
|
auto axes = make_shared<op::Constant>(element::i32, Shape{}, 1);
|
|
auto f =
|
|
make_shared<Function>(make_shared<op::v1::ReduceProd>(A, axes, true), ParameterVector{A});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}", true);
|
|
|
|
// Create some tensors for input/output
|
|
Shape shape_a{3, 2};
|
|
auto a = backend->create_tensor(element::f32, shape_a);
|
|
copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
|
|
auto result = backend->create_dynamic_tensor(element::f32, PartialShape::dynamic());
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_TRUE(test::all_close_f((vector<float>{2, 12, 30}), read_vector<float>(result)));
|
|
}
|