260 lines
11 KiB
C++
260 lines
11 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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#include "gtest/gtest.h"
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#include "ngraph/ngraph.hpp"
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#include "ngraph/runtime/tensor.hpp"
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#include "runtime/backend.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/ndarray.hpp"
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#include "util/test_control.hpp"
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#include "util/test_tools.hpp"
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NGRAPH_SUPPRESS_DEPRECATED_START
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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}, replace_slice_scalar)
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{
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Shape shape_a{};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_b{};
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auto B = make_shared<op::Parameter>(element::f32, shape_b);
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Shape shape_r{};
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auto r = make_shared<op::ReplaceSlice>(A, B, Coordinate{}, Coordinate{});
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auto f = make_shared<Function>(r, ParameterVector{A, B});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{312});
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auto b = backend->create_tensor(element::f32, shape_b);
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copy_data(b, vector<float>{808});
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auto result = backend->create_tensor(element::f32, shape_r);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a, b});
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EXPECT_TRUE(test::all_close_f(
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(vector<float>{808}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, replace_slice_matrix_inplace)
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{
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Shape shape_a{4, 4};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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auto abs_A = make_shared<op::Abs>(A);
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Shape shape_b{3, 2};
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auto B = make_shared<op::Parameter>(element::f32, shape_b);
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Shape shape_r{4, 4};
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auto r = make_shared<op::ReplaceSlice>(abs_A, B, Coordinate{0, 1}, Coordinate{3, 3});
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auto abs_r = make_shared<op::Abs>(r);
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auto f = make_shared<Function>(abs_r, ParameterVector{A, B});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16});
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auto b = backend->create_tensor(element::f32, shape_b);
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copy_data(b, vector<float>{102, 103, 106, 107, 110, 111});
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auto result = backend->create_tensor(element::f32, shape_r);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a, b});
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EXPECT_TRUE(test::all_close_f(
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(vector<float>{1, 102, 103, 4, 5, 106, 107, 8, 9, 110, 111, 12, 13, 14, 15, 16}),
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, replace_slice_matrix)
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{
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Shape shape_a{4, 4};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_b{3, 2};
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auto B = make_shared<op::Parameter>(element::f32, shape_b);
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Shape shape_r{4, 4};
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auto r = make_shared<op::ReplaceSlice>(A, B, Coordinate{0, 1}, Coordinate{3, 3});
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auto f = make_shared<Function>(r, ParameterVector{A, B});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16});
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auto b = backend->create_tensor(element::f32, shape_b);
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copy_data(b, vector<float>{102, 103, 106, 107, 110, 111});
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auto result = backend->create_tensor(element::f32, shape_r);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a, b});
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EXPECT_TRUE(test::all_close_f(
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(vector<float>{1, 102, 103, 4, 5, 106, 107, 8, 9, 110, 111, 12, 13, 14, 15, 16}),
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, replace_slice_vector)
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{
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Shape shape_a{16};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_b{12};
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auto B = make_shared<op::Parameter>(element::f32, shape_b);
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Shape shape_r{16};
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auto r = make_shared<op::ReplaceSlice>(A, B, Coordinate{2}, Coordinate{14});
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auto f = make_shared<Function>(r, ParameterVector{A, B});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15});
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auto b = backend->create_tensor(element::f32, shape_b);
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copy_data(b, vector<float>{102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113});
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auto result = backend->create_tensor(element::f32, shape_r);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a, b});
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EXPECT_TRUE(test::all_close_f(
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(vector<float>{0, 1, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 14, 15}),
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, replace_slice_3d)
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{
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Shape shape_a{4, 4, 4};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_b{2, 2, 2};
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auto B = make_shared<op::Parameter>(element::f32, shape_b);
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Shape shape_r{4, 4, 4};
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auto r = make_shared<op::ReplaceSlice>(A, B, Coordinate{1, 1, 1}, Coordinate{3, 3, 3});
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auto f = make_shared<Function>(r, ParameterVector{A, B});
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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>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
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16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
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32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47,
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48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63});
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auto b = backend->create_tensor(element::f32, shape_b);
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copy_data(b, vector<float>{921, 922, 925, 926, 937, 938, 941, 942});
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auto result = backend->create_tensor(element::f32, shape_r);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a, b});
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EXPECT_TRUE(test::all_close_f(
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(vector<float>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
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16, 17, 18, 19, 20, 921, 922, 23, 24, 925, 926, 27, 28, 29, 30, 31,
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32, 33, 34, 35, 36, 937, 938, 39, 40, 941, 942, 43, 44, 45, 46, 47,
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48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63}),
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read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, replace_slice_3d_strided)
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{
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Shape shape_a{4, 4, 4};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_b{2, 2, 2};
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auto B = make_shared<op::Parameter>(element::f32, shape_b);
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Shape shape_r{4, 4, 4};
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auto r = make_shared<op::ReplaceSlice>(
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A, B, Coordinate{0, 0, 0}, Coordinate{4, 4, 4}, Strides{2, 2, 2});
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auto f = make_shared<Function>(r, ParameterVector{A, B});
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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>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
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16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
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32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47,
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48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63});
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auto b = backend->create_tensor(element::f32, shape_b);
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copy_data(b, vector<float>{900, 902, 908, 910, 932, 934, 940, 942});
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auto result = backend->create_tensor(element::f32, shape_r);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a, b});
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EXPECT_TRUE(test::all_close_f(
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(vector<float>{900, 1, 902, 3, 4, 5, 6, 7, 908, 9, 910, 11, 12, 13, 14, 15,
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16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
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932, 33, 934, 35, 36, 37, 38, 39, 940, 41, 942, 43, 44, 45, 46, 47,
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48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63}),
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, replace_slice_3d_strided_different_strides)
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{
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Shape shape_a{4, 4, 4};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_b{2, 2, 2};
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auto B = make_shared<op::Parameter>(element::f32, shape_b);
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Shape shape_r{4, 4, 4};
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auto r = make_shared<op::ReplaceSlice>(
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A, B, Coordinate{0, 0, 0}, Coordinate{4, 4, 4}, Strides{2, 2, 3});
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auto f = make_shared<Function>(r, ParameterVector{A, B});
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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>{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
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16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
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32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47,
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48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63});
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auto b = backend->create_tensor(element::f32, shape_b);
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copy_data(b, vector<float>{900, 903, 908, 911, 932, 935, 940, 943});
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auto result = backend->create_tensor(element::f32, shape_r);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a, b});
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EXPECT_TRUE(test::all_close_f(
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(vector<float>{900, 1, 2, 903, 4, 5, 6, 7, 908, 9, 10, 911, 12, 13, 14, 15,
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16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
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932, 33, 34, 935, 36, 37, 38, 39, 940, 41, 42, 943, 44, 45, 46, 47,
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48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63}),
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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