//***************************************************************************** // 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/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}, one_hot_scalar_2_in_3) { Shape shape_a{}; auto A = make_shared<op::Parameter>(element::i32, shape_a); Shape shape_r{3}; auto r = make_shared<op::OneHot>(A, Shape{3}, 0); auto f = make_shared<Function>(r, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::i32, shape_a); copy_data(a, vector<int32_t>{2}); auto result = backend->create_tensor(element::i32, shape_r); backend->call_with_validate(f, {result}, {a}); EXPECT_EQ((vector<int32_t>{0, 0, 1}), read_vector<int32_t>(result)); } NGRAPH_TEST(${BACKEND_NAME}, one_hot_scalar_1_in_3) { Shape shape_a{}; auto A = make_shared<op::Parameter>(element::i32, shape_a); Shape shape_r{3}; auto r = make_shared<op::OneHot>(A, Shape{3}, 0); auto f = make_shared<Function>(r, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::i32, shape_a); copy_data(a, vector<int32_t>{1}); auto result = backend->create_tensor(element::i32, shape_r); backend->call_with_validate(f, {result}, {a}); EXPECT_EQ((vector<int32_t>{0, 1, 0}), read_vector<int32_t>(result)); } NGRAPH_TEST(${BACKEND_NAME}, one_hot_scalar_0_in_3) { Shape shape_a{}; auto A = make_shared<op::Parameter>(element::i32, shape_a); Shape shape_r{3}; auto r = make_shared<op::OneHot>(A, Shape{3}, 0); auto f = make_shared<Function>(r, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::i32, shape_a); copy_data(a, vector<int32_t>{0}); auto result = backend->create_tensor(element::i32, shape_r); backend->call_with_validate(f, {result}, {a}); EXPECT_EQ((vector<int32_t>{1, 0, 0}), read_vector<int32_t>(result)); } NGRAPH_TEST(${BACKEND_NAME}, one_hot_scalar_fp_nonint_in_3) { Shape shape_a{}; auto A = make_shared<op::Parameter>(element::f32, shape_a); Shape shape_r{3}; auto r = make_shared<op::OneHot>(A, Shape{3}, 0); auto f = make_shared<Function>(r, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::f32, shape_a); copy_data(a, vector<float>{1.1f}); auto result = backend->create_tensor(element::f32, shape_r); try { backend->call_with_validate(f, {result}, {a}); } catch (const std::exception& e) { EXPECT_EQ(e.what(), std::string("One-hot: non-integral value in input")); } catch (...) { FAIL() << "Expected a std::out_of_range exception"; } } NGRAPH_TEST(${BACKEND_NAME}, one_hot_scalar_oob_in_3) { Shape shape_a{}; auto A = make_shared<op::Parameter>(element::i32, shape_a); Shape shape_r{3}; auto r = make_shared<op::OneHot>(A, Shape{3}, 0); auto f = make_shared<Function>(r, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::i32, shape_a); copy_data(a, vector<int32_t>{3000000}); auto result = backend->create_tensor(element::i32, shape_r); try { backend->call_with_validate(f, {result}, {a}); } catch (const std::exception& e) { EXPECT_EQ(e.what(), std::string("One-hot: value is out of category range")); } catch (...) { FAIL() << "Expected a std::out_of_range exception"; } } NGRAPH_TEST(${BACKEND_NAME}, one_hot_vector_0) { Shape shape_a{8}; auto A = make_shared<op::Parameter>(element::i32, shape_a); Shape shape_r{3, 8}; auto r = make_shared<op::OneHot>(A, Shape{3, 8}, 0); auto f = make_shared<Function>(r, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::i32, shape_a); copy_data(a, vector<int32_t>{2, 1, 0, 0, 2, 2, 1, 0}); auto result = backend->create_tensor(element::i32, shape_r); backend->call_with_validate(f, {result}, {a}); EXPECT_EQ( (vector<int32_t>{0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0}), read_vector<int32_t>(result)); } NGRAPH_TEST(${BACKEND_NAME}, one_hot_vector_1) { Shape shape_a{8}; auto A = make_shared<op::Parameter>(element::i32, shape_a); Shape shape_r{8, 3}; auto r = make_shared<op::OneHot>(A, Shape{8, 3}, 1); auto f = make_shared<Function>(r, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::i32, shape_a); copy_data(a, vector<int32_t>{2, 1, 0, 0, 2, 2, 1, 0}); auto result = backend->create_tensor(element::i32, shape_r); backend->call_with_validate(f, {result}, {a}); EXPECT_EQ( (vector<int32_t>{0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0}), read_vector<int32_t>(result)); } NGRAPH_TEST(${BACKEND_NAME}, one_hot_vector_1_barely_oob) { Shape shape_a{8}; auto A = make_shared<op::Parameter>(element::i32, shape_a); Shape shape_r{8, 3}; auto r = make_shared<op::OneHot>(A, Shape{8, 3}, 1); auto f = make_shared<Function>(r, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::i32, shape_a); copy_data(a, vector<int32_t>{2, 1, 0, 0, 3, 2, 1, 0}); auto result = backend->create_tensor(element::i32, shape_r); try { backend->call_with_validate(f, {result}, {a}); } catch (const std::exception& e) { EXPECT_EQ(e.what(), std::string("One-hot: value is out of category range")); } catch (...) { FAIL() << "Expected a std::out_of_range exception"; } } NGRAPH_TEST(${BACKEND_NAME}, one_hot_vector_1_far_oob) { Shape shape_a{8}; auto A = make_shared<op::Parameter>(element::i32, shape_a); Shape shape_r{8, 3}; auto r = make_shared<op::OneHot>(A, Shape{8, 3}, 1); auto f = make_shared<Function>(r, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::i32, shape_a); copy_data(a, vector<int32_t>{2, 1, 0, 0, 3000000, 2, 1, 0}); auto result = backend->create_tensor(element::i32, shape_r); try { backend->call_with_validate(f, {result}, {a}); } catch (const std::exception& e) { EXPECT_EQ(e.what(), std::string("One-hot: value is out of category range")); } catch (...) { FAIL() << "Expected a std::out_of_range exception"; } } NGRAPH_TEST(${BACKEND_NAME}, one_hot_matrix_0) { Shape shape_a{3, 3}; auto A = make_shared<op::Parameter>(element::i32, shape_a); Shape shape_r{3, 3, 3}; auto r = make_shared<op::OneHot>(A, Shape{3, 3, 3}, 0); auto f = make_shared<Function>(r, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::i32, shape_a); copy_data(a, vector<int32_t>{ 0, 1, 1, 2, 1, 0, 0, 2, 1, }); auto result = backend->create_tensor(element::i32, shape_r); backend->call_with_validate(f, {result}, {a}); EXPECT_EQ((vector<int32_t>{1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0}), read_vector<int32_t>(result)); } NGRAPH_TEST(${BACKEND_NAME}, one_hot_vector_1_fp) { Shape shape_a{8}; auto A = make_shared<op::Parameter>(element::f32, shape_a); Shape shape_r{8, 3}; auto r = make_shared<op::OneHot>(A, Shape{8, 3}, 1); auto f = make_shared<Function>(r, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::f32, shape_a); copy_data(a, vector<float>{2, 1, 0, 0, 2, 2, 1, 0}); auto result = backend->create_tensor(element::f32, shape_r); backend->call_with_validate(f, {result}, {a}); EXPECT_EQ( (vector<float>{0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0}), read_vector<float>(result)); } NGRAPH_TEST(${BACKEND_NAME}, one_hot_vector_1_fp_nonint) { Shape shape_a{8}; auto A = make_shared<op::Parameter>(element::f32, shape_a); Shape shape_r{8, 3}; auto r = make_shared<op::OneHot>(A, Shape{8, 3}, 1); auto f = make_shared<Function>(r, 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>{2, 1, 0, 0, 2, 2, 1.01f, 0}); auto result = backend->create_tensor(element::f32, shape_r); try { backend->call_with_validate(f, {result}, {a}); } catch (const std::exception& e) { EXPECT_EQ(e.what(), std::string("One-hot: non-integral value in input")); } catch (...) { FAIL() << "Expected a std::out_of_range exception"; } }