229 lines
8.1 KiB
C++
229 lines
8.1 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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// clang-format off
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#ifdef ${BACKEND_NAME}_FLOAT_TOLERANCE_BITS
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#define DEFAULT_FLOAT_TOLERANCE_BITS ${BACKEND_NAME}_FLOAT_TOLERANCE_BITS
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#endif
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#ifdef ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS
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#define DEFAULT_DOUBLE_TOLERANCE_BITS ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS
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#endif
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// clang-format on
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#include "gtest/gtest.h"
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#include "runtime/backend.hpp"
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#include "ngraph/runtime/tensor.hpp"
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#include "ngraph/ngraph.hpp"
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#include "util/all_close.hpp"
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#include "util/all_close_f.hpp"
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#include "util/known_element_types.hpp"
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#include "util/ndarray.hpp"
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#include "util/test_control.hpp"
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#include "util/test_tools.hpp"
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using namespace std;
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using namespace ngraph;
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static string s_manifest = "${MANIFEST}";
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NGRAPH_TEST(${BACKEND_NAME}, softmax_axis_3d)
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{
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Shape shape{2, 2, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto f = make_shared<Function>(make_shared<op::v1::Softmax>(A, 0), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{-10, -20, -30, -40, -50, -60, -1, -2, -3, -4, -5, -6});
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auto result = backend->create_tensor(element::f32, shape);
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auto d0 = expf(-10) + expf(-1);
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auto d1 = expf(-20) + expf(-2);
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auto d2 = expf(-30) + expf(-3);
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auto d3 = expf(-40) + expf(-4);
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auto d4 = expf(-50) + expf(-5);
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auto d5 = expf(-60) + expf(-6);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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vector<float> expected{expf(-10) / d0,
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expf(-20) / d1,
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expf(-30) / d2,
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expf(-40) / d3,
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expf(-50) / d4,
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expf(-60) / d5,
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expf(-1) / d0,
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expf(-2) / d1,
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expf(-3) / d2,
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expf(-4) / d3,
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expf(-5) / d4,
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expf(-6) / d5};
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EXPECT_TRUE(test::all_close(expected, read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, softmax_axis_3d_double)
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{
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Shape shape{2, 2, 3};
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auto A = make_shared<op::Parameter>(element::f64, shape);
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auto f = make_shared<Function>(make_shared<op::v1::Softmax>(A, 0), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f64, shape);
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copy_data(a, vector<double>{-10, -20, -30, -40, -50, -60, -1, -2, -3, -4, -5, -6});
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auto result = backend->create_tensor(element::f64, shape);
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auto d0 = exp(-10) + exp(-1);
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auto d1 = exp(-20) + exp(-2);
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auto d2 = exp(-30) + exp(-3);
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auto d3 = exp(-40) + exp(-4);
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auto d4 = exp(-50) + exp(-5);
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auto d5 = exp(-60) + exp(-6);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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vector<double> expected{exp(-10) / d0,
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exp(-20) / d1,
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exp(-30) / d2,
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exp(-40) / d3,
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exp(-50) / d4,
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exp(-60) / d5,
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exp(-1) / d0,
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exp(-2) / d1,
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exp(-3) / d2,
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exp(-4) / d3,
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exp(-5) / d4,
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exp(-6) / d5};
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EXPECT_TRUE(test::all_close(expected, read_vector<double>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, softmax_2d_axis_1)
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{
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Shape shape{2, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto f = make_shared<Function>(make_shared<op::v1::Softmax>(A, 1), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{-10, -20, -30, -40, -50, -60});
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auto result = backend->create_tensor(element::f32, shape);
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auto d0 = expf(-10) + expf(-20) + expf(-30);
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auto d1 = expf(-40) + expf(-50) + expf(-60);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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vector<float> expected{expf(-10) / d0,
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expf(-20) / d0,
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expf(-30) / d0,
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expf(-40) / d1,
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expf(-50) / d1,
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expf(-60) / d1};
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EXPECT_TRUE(test::all_close_f(expected, read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, softmax_2d_axis_0)
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{
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Shape shape{2, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto f = make_shared<Function>(make_shared<op::v1::Softmax>(A, 0), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{-10, -20, -30, -40, -50, -60});
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auto result = backend->create_tensor(element::f32, shape);
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auto d0 = expf(-10) + expf(-40);
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auto d1 = expf(-20) + expf(-50);
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auto d2 = expf(-30) + expf(-60);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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vector<float> expected{expf(-10) / d0,
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expf(-20) / d1,
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expf(-30) / d2,
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expf(-40) / d0,
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expf(-50) / d1,
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expf(-60) / d2};
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EXPECT_TRUE(test::all_close(expected, read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, softmax_axis_3d_trivial)
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{
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Shape shape{1, 2, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto f = make_shared<Function>(make_shared<op::v1::Softmax>(A, 0), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{-10, -20, -30, -40, -50, -60});
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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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vector<float> expected{1, 1, 1, 1, 1, 1};
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EXPECT_TRUE(test::all_close(expected, read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, softmax_underflow)
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{
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Shape shape{2, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto f = make_shared<Function>(make_shared<op::v1::Softmax>(A, 0), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto low = std::numeric_limits<float>::lowest();
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{low, 1, 2, 3, 4, 5});
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auto result = backend->create_tensor(element::f32, shape);
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auto d0 = expf(low) + expf(3);
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auto d1 = expf(1) + expf(4);
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auto d2 = expf(2) + expf(5);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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vector<float> expected{
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expf(low) / d0, expf(1) / d1, expf(2) / d2, expf(3) / d0, expf(4) / d1, expf(5) / d2};
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EXPECT_TRUE(test::all_close_f(expected, read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, softmax_overflow)
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{
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Shape shape{2, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto f = make_shared<Function>(make_shared<op::v1::Softmax>(A, 0), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto high = std::numeric_limits<float>::max();
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{high, 1, 2, 3, 4, 5});
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auto result = backend->create_tensor(element::f32, shape);
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auto d0 = expf(high - high) + expf(3 - high);
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auto d1 = expf(1) + expf(4);
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auto d2 = expf(2) + expf(5);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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vector<float> expected{expf(high - high) / d0,
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expf(1) / d1,
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expf(2) / d2,
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expf(3 - high) / d0,
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expf(4) / d1,
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expf(5) / d2};
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EXPECT_TRUE(test::all_close_f(expected, read_vector<float>(result)));
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}
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