182499c006
* Removed backprop operations * Fixed build * Removed AvgPool * Removed tests for v0 AvgPool * Fixed code style * Fixed export
92 lines
3.3 KiB
C++
92 lines
3.3 KiB
C++
//*****************************************************************************
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// Copyright 2017-2020 Intel Corporation
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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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(${BACKEND_NAME}, sigmoid_n1c1h2w2)
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{
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auto input = make_shared<op::Parameter>(element::f32, Shape{1, 1, 2, 2});
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auto sigmoid_node = make_shared<op::Sigmoid>(input);
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auto func = make_shared<Function>(sigmoid_node, ParameterVector{input});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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shared_ptr<runtime::Tensor> a = backend->create_tensor(element::f32, input->get_shape());
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shared_ptr<runtime::Tensor> result = backend->create_tensor(element::f32, input->get_shape());
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float x1 = 1.0f;
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float x2 = 4.0f;
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float sigma1 = 1.0f / (1.0f + std::exp(-x1));
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float sigma2 = 1.0f / (1.0f + std::exp(-x2));
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vector<float> dataA{x1, x2, x1, x2};
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copy_data(a, dataA);
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auto handle = backend->compile(func);
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handle->call_with_validate({result}, {a});
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vector<float> expected{sigma1, sigma2, sigma1, sigma2};
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EXPECT_TRUE(test::all_close_f(read_vector<float>(result), expected));
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}
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NGRAPH_TEST(${BACKEND_NAME}, sigmoid_n1c1h4)
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{
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auto input = make_shared<op::Parameter>(element::f32, Shape{1, 1, 4});
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auto sigmoid_node = make_shared<op::Sigmoid>(input);
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auto func = make_shared<Function>(sigmoid_node, ParameterVector{input});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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shared_ptr<runtime::Tensor> a = backend->create_tensor(element::f32, input->get_shape());
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shared_ptr<runtime::Tensor> result = backend->create_tensor(element::f32, input->get_shape());
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float x1 = 1.0f;
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float x2 = 4.0f;
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float sigma1 = 1.0f / (1.0f + std::exp(-x1));
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float sigma2 = 1.0f / (1.0f + std::exp(-x2));
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vector<float> dataA{x1, x2, x1, x2};
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copy_data(a, dataA);
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auto handle = backend->compile(func);
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handle->call_with_validate({result}, {a});
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vector<float> expected{sigma1, sigma2, sigma1, sigma2};
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EXPECT_TRUE(test::all_close_f(read_vector<float>(result), expected));
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}
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