1cb1f13eaa
* v1::Pad reference implementation * ut fix: pad_negative_exterior_1d * ut fix: pad_negative_exterior_1d_check_limits & pad_edge_1d * Code formatting * ut fix: pad_edge_1d_top_neg & pad_edge_1d_top_neg_bigger_than_tensor * More Pad UT fixes * Pad UT fixes: REFLECT mode * Fix all Pad UTs * Switch Pad evaluation in INT backend * Non-template solution to v1::Pad::evaluate * Always create v1::Pad with 4 inputs * VS compilation error fix * Python test fix * Remove the v0::Pad constant folding pass * Some extra checks in v1::Pad evaluator * Code formatting * Remove an obsolete CF test
909 lines
39 KiB
C++
909 lines
39 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/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}, pad_exterior_1d)
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{
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const Shape data_shape{6};
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const auto data = make_shared<op::Parameter>(element::f32, data_shape);
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const auto pads_begin = op::Constant::create(element::i64, Shape{1}, {4});
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const auto pads_end = op::Constant::create(element::i64, Shape{1}, {5});
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const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
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auto f = make_shared<Function>(
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make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::CONSTANT),
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ParameterVector{data});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, data_shape);
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copy_data(a, std::vector<float>({1, 2, 3, 4, 5, 6}));
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auto result = backend->create_tensor(element::f32, Shape{15});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(
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test::all_close_f({2112, 2112, 2112, 2112, 1, 2, 3, 4, 5, 6, 2112, 2112, 2112, 2112, 2112},
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, pad_negative_exterior_1d)
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{
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const Shape data_shape{6};
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const auto data = make_shared<op::Parameter>(element::f32, data_shape);
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const auto pads_begin = op::Constant::create(element::i64, Shape{1}, {4});
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const auto pads_end = op::Constant::create(element::i64, Shape{1}, {-2});
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const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
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auto f = make_shared<Function>(
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make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::CONSTANT),
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ParameterVector{data});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, data_shape);
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copy_data(a, std::vector<float>({1, 2, 3, 4, 5, 6}));
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auto result = backend->create_tensor(element::f32, Shape{8});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f({2112, 2112, 2112, 2112, 1, 2, 3, 4},
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, pad_negative_exterior_1d_check_limits)
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{
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const Shape data_shape{6};
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const auto data = make_shared<op::Parameter>(element::f32, data_shape);
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const auto pads_begin = op::Constant::create(element::i64, Shape{1}, {4});
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const auto pads_end = op::Constant::create(element::i64, Shape{1}, {-7});
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const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
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auto f = make_shared<Function>(
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make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::CONSTANT),
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ParameterVector{data});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, data_shape);
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copy_data(a, std::vector<float>({1, 2, 3, 4, 5, 6}));
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auto result = backend->create_tensor(element::f32, Shape{3});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f(
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{2112, 2112, 2112}, read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, pad_edge_1d)
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{
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const Shape data_shape{6};
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const auto data = make_shared<op::Parameter>(element::f32, data_shape);
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const auto pads_begin = op::Constant::create(element::i64, Shape{1}, {2});
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const auto pads_end = op::Constant::create(element::i64, Shape{1}, {3});
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const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
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auto f = make_shared<Function>(
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make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::EDGE),
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ParameterVector{data});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, data_shape);
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copy_data(a, std::vector<float>({1, 2, 3, 4, 5, 6}));
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auto result = backend->create_tensor(element::f32, Shape{11});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f(
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{1, 1, 1, 2, 3, 4, 5, 6, 6, 6, 6}, read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, pad_edge_1d_top_neg)
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{
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const Shape data_shape{6};
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const auto data = make_shared<op::Parameter>(element::f32, data_shape);
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const auto pads_begin = op::Constant::create(element::i64, Shape{1}, {2});
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const auto pads_end = op::Constant::create(element::i64, Shape{1}, {-3});
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const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
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auto f = make_shared<Function>(
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make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::EDGE),
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ParameterVector{data});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, data_shape);
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copy_data(a, std::vector<float>({1, 2, 3, 4, 5, 6}));
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auto result = backend->create_tensor(element::f32, Shape{5});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(
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test::all_close_f({1, 1, 1, 2, 3}, read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, pad_edge_1d_top_neg_bigger_than_tensor)
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{
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const Shape data_shape{6};
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const auto data = make_shared<op::Parameter>(element::f32, data_shape);
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const auto pads_begin = op::Constant::create(element::i64, Shape{1}, {2});
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const auto pads_end = op::Constant::create(element::i64, Shape{1}, {-7});
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const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
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auto f = make_shared<Function>(
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make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::EDGE),
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ParameterVector{data});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, data_shape);
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copy_data(a, std::vector<float>({1, 2, 3, 4, 5, 6}));
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auto result = backend->create_tensor(element::f32, Shape{1});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f({1}, read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, pad_edge_1d_bottom_neg)
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{
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const Shape data_shape{6};
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const auto data = make_shared<op::Parameter>(element::f32, data_shape);
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const auto pads_begin = op::Constant::create(element::i64, Shape{1}, {-2});
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const auto pads_end = op::Constant::create(element::i64, Shape{1}, {3});
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const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
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auto f = make_shared<Function>(
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make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::EDGE),
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ParameterVector{data});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, data_shape);
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copy_data(a, std::vector<float>({1, 2, 3, 4, 5, 6}));
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auto result = backend->create_tensor(element::f32, Shape{7});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f(
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{3, 4, 5, 6, 6, 6, 6}, read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, pad_edge_1d_bottom_neg_bigger_than_tensor)
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{
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const Shape data_shape{6};
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const auto data = make_shared<op::Parameter>(element::f32, data_shape);
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const auto pads_begin = op::Constant::create(element::i64, Shape{1}, {-7});
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const auto pads_end = op::Constant::create(element::i64, Shape{1}, {3});
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const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
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auto f = make_shared<Function>(
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make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::EDGE),
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ParameterVector{data});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, data_shape);
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copy_data(a, std::vector<float>({1, 2, 3, 4, 5, 6}));
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auto result = backend->create_tensor(element::f32, Shape{2});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f({6, 6}, read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, pad_edge_2d)
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{
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const Shape data_shape{3, 4};
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const auto data = make_shared<op::Parameter>(element::f32, data_shape);
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const auto pads_begin = op::Constant::create(element::i64, Shape{2}, {2, 3});
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const auto pads_end = op::Constant::create(element::i64, Shape{2}, {1, 2});
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const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
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auto f = make_shared<Function>(
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make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::EDGE),
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ParameterVector{data});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, data_shape);
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copy_data(a, std::vector<float>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}));
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auto result = backend->create_tensor(element::f32, Shape{6, 9});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f(test::NDArray<float, 2>({{1, 1, 1, 1, 2, 3, 4, 4, 4},
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{1, 1, 1, 1, 2, 3, 4, 4, 4},
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{1, 1, 1, 1, 2, 3, 4, 4, 4},
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{5, 5, 5, 5, 6, 7, 8, 8, 8},
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{9, 9, 9, 9, 10, 11, 12, 12, 12},
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{9, 9, 9, 9, 10, 11, 12, 12, 12}})
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.get_vector(),
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, pad_edge_2d_with_neg)
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{
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const Shape data_shape{3, 4};
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const auto data = make_shared<op::Parameter>(element::f32, data_shape);
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const auto pads_begin = op::Constant::create(element::i64, Shape{2}, {2, -1});
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const auto pads_end = op::Constant::create(element::i64, Shape{2}, {1, 2});
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const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
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auto f = make_shared<Function>(
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make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::EDGE),
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ParameterVector{data});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, data_shape);
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copy_data(a, std::vector<float>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}));
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auto result = backend->create_tensor(element::f32, Shape{6, 5});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f(test::NDArray<float, 2>({{2, 3, 4, 4, 4},
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{2, 3, 4, 4, 4},
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{2, 3, 4, 4, 4},
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{6, 7, 8, 8, 8},
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{10, 11, 12, 12, 12},
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{10, 11, 12, 12, 12}})
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.get_vector(),
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, pad_reflect_1d)
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{
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const Shape data_shape{6};
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const auto data = make_shared<op::Parameter>(element::f32, data_shape);
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const auto pads_begin = op::Constant::create(element::i64, Shape{1}, {2});
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const auto pads_end = op::Constant::create(element::i64, Shape{1}, {3});
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const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
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auto f = make_shared<Function>(
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make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::REFLECT),
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ParameterVector{data});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, data_shape);
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copy_data(a, std::vector<float>({1, 2, 3, 4, 5, 6}));
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auto result = backend->create_tensor(element::f32, Shape{11});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f(std::vector<float>({3, 2, 1, 2, 3, 4, 5, 6, 5, 4, 3}),
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, pad_reflect_1d_top_neg)
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{
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const Shape data_shape{6};
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const auto data = make_shared<op::Parameter>(element::f32, data_shape);
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const auto pads_begin = op::Constant::create(element::i64, Shape{1}, {2});
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const auto pads_end = op::Constant::create(element::i64, Shape{1}, {-3});
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const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
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auto f = make_shared<Function>(
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make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::REFLECT),
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ParameterVector{data});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, data_shape);
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copy_data(a, std::vector<float>({1, 2, 3, 4, 5, 6}));
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auto result = backend->create_tensor(element::f32, Shape{5});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f(
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std::vector<float>({3, 2, 1, 2, 3}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, pad_reflect_1d_top_neg_bigger_than_tensor)
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{
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const Shape data_shape{6};
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const auto data = make_shared<op::Parameter>(element::f32, data_shape);
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const auto pads_begin = op::Constant::create(element::i64, Shape{1}, {2});
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const auto pads_end = op::Constant::create(element::i64, Shape{1}, {-7});
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const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
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auto f = make_shared<Function>(
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make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::REFLECT),
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ParameterVector{data});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, data_shape);
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copy_data(a, std::vector<float>({1, 2, 3, 4, 5, 6}));
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auto result = backend->create_tensor(element::f32, Shape{1});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f(
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std::vector<float>({3}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, pad_reflect_1d_bottom_neg)
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{
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const Shape data_shape{6};
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const auto data = make_shared<op::Parameter>(element::f32, data_shape);
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const auto pads_begin = op::Constant::create(element::i64, Shape{1}, {-2});
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const auto pads_end = op::Constant::create(element::i64, Shape{1}, {3});
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const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
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auto f = make_shared<Function>(
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make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::REFLECT),
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ParameterVector{data});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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|
|
// Create some tensors for input/output
|
|
auto a = backend->create_tensor(element::f32, data_shape);
|
|
copy_data(a, std::vector<float>({1, 2, 3, 4, 5, 6}));
|
|
auto result = backend->create_tensor(element::f32, Shape{7});
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_TRUE(test::all_close_f(std::vector<float>({3, 4, 5, 6, 5, 4, 3}),
|
|
read_vector<float>(result),
|
|
MIN_FLOAT_TOLERANCE_BITS));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, pad_reflect_1d_bottom_neg_bigger_than_tensor)
|
|
{
|
|
const Shape data_shape{6};
|
|
const auto data = make_shared<op::Parameter>(element::f32, data_shape);
|
|
|
|
const auto pads_begin = op::Constant::create(element::i64, Shape{1}, {-7});
|
|
const auto pads_end = op::Constant::create(element::i64, Shape{1}, {3});
|
|
const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
|
|
|
|
auto f = make_shared<Function>(
|
|
make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::REFLECT),
|
|
ParameterVector{data});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}");
|
|
|
|
// Create some tensors for input/output
|
|
auto a = backend->create_tensor(element::f32, data_shape);
|
|
copy_data(a, std::vector<float>({1, 2, 3, 4, 5, 6}));
|
|
auto result = backend->create_tensor(element::f32, Shape{2});
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_TRUE(test::all_close_f(
|
|
std::vector<float>({4, 3}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, pad_reflect_1d_multi_reflect)
|
|
{
|
|
const Shape data_shape{3};
|
|
const auto data = make_shared<op::Parameter>(element::f32, data_shape);
|
|
|
|
const auto pads_begin = op::Constant::create(element::i64, Shape{1}, {10});
|
|
const auto pads_end = op::Constant::create(element::i64, Shape{1}, {9});
|
|
const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
|
|
|
|
auto f = make_shared<Function>(
|
|
make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::REFLECT),
|
|
ParameterVector{data});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}");
|
|
|
|
// Create some tensors for input/output
|
|
auto a = backend->create_tensor(element::f32, data_shape);
|
|
copy_data(a, std::vector<float>({1, 2, 3}));
|
|
auto result = backend->create_tensor(element::f32, Shape{22});
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_TRUE(test::all_close_f(
|
|
std::vector<float>({3, 2, 1, 2, 3, 2, 1, 2, 3, 2, 1, 2, 3, 2, 1, 2, 3, 2, 1, 2, 3, 2}),
|
|
read_vector<float>(result),
|
|
MIN_FLOAT_TOLERANCE_BITS));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, pad_reflect_2d)
|
|
{
|
|
const Shape data_shape{3, 4};
|
|
const auto data = make_shared<op::Parameter>(element::f32, data_shape);
|
|
|
|
const auto pads_begin = op::Constant::create(element::i64, Shape{2}, {2, 3});
|
|
const auto pads_end = op::Constant::create(element::i64, Shape{2}, {1, 2});
|
|
const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
|
|
|
|
auto f = make_shared<Function>(
|
|
make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::REFLECT),
|
|
ParameterVector{data});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}");
|
|
|
|
// Create some tensors for input/output
|
|
auto a = backend->create_tensor(element::f32, data_shape);
|
|
copy_data(a,
|
|
test::NDArray<float, 2>({{1, 2, 3, 4}, {5, 6, 7, 8}, {9, 10, 11, 12}}).get_vector());
|
|
auto result = backend->create_tensor(element::f32, Shape{6, 9});
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_TRUE(test::all_close_f(test::NDArray<float, 2>({{12, 11, 10, 9, 10, 11, 12, 11, 10},
|
|
{8, 7, 6, 5, 6, 7, 8, 7, 6},
|
|
{4, 3, 2, 1, 2, 3, 4, 3, 2},
|
|
{8, 7, 6, 5, 6, 7, 8, 7, 6},
|
|
{12, 11, 10, 9, 10, 11, 12, 11, 10},
|
|
{8, 7, 6, 5, 6, 7, 8, 7, 6}})
|
|
.get_vector(),
|
|
read_vector<float>(result),
|
|
MIN_FLOAT_TOLERANCE_BITS));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, pad_reflect_2d_with_neg)
|
|
{
|
|
const Shape data_shape{3, 4};
|
|
const auto data = make_shared<op::Parameter>(element::f32, data_shape);
|
|
|
|
const auto pads_begin = op::Constant::create(element::i64, Shape{2}, {2, -1});
|
|
const auto pads_end = op::Constant::create(element::i64, Shape{2}, {1, 2});
|
|
const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
|
|
|
|
auto f = make_shared<Function>(
|
|
make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::REFLECT),
|
|
ParameterVector{data});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}");
|
|
|
|
// Create some tensors for input/output
|
|
auto a = backend->create_tensor(element::f32, data_shape);
|
|
copy_data(a,
|
|
test::NDArray<float, 2>({{1, 2, 3, 4}, {5, 6, 7, 8}, {9, 10, 11, 12}}).get_vector());
|
|
auto result = backend->create_tensor(element::f32, Shape{6, 5});
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_TRUE(test::all_close_f(test::NDArray<float, 2>({{10, 11, 12, 11, 10},
|
|
{6, 7, 8, 7, 6},
|
|
{2, 3, 4, 3, 2},
|
|
{6, 7, 8, 7, 6},
|
|
{10, 11, 12, 11, 10},
|
|
{6, 7, 8, 7, 6}})
|
|
.get_vector(),
|
|
read_vector<float>(result),
|
|
MIN_FLOAT_TOLERANCE_BITS));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, pad_negative_exterior_2d)
|
|
{
|
|
const Shape data_shape{2, 3};
|
|
const auto data = make_shared<op::Parameter>(element::f32, data_shape);
|
|
|
|
const auto pads_begin = op::Constant::create(element::i64, Shape{2}, {1, -1});
|
|
const auto pads_end = op::Constant::create(element::i64, Shape{2}, {2, 0});
|
|
const auto pad_val = op::Constant::create(element::f32, Shape{}, {9});
|
|
|
|
auto f = make_shared<Function>(
|
|
make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::CONSTANT),
|
|
ParameterVector{data});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}");
|
|
|
|
// Create some tensors for input/output
|
|
auto a = backend->create_tensor(element::f32, data_shape);
|
|
copy_data(a, test::NDArray<float, 2>({{1, 2, 3}, {4, 5, 6}}).get_vector());
|
|
auto result = backend->create_tensor(element::f32, Shape{5, 2});
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_TRUE(test::all_close_f(
|
|
test::NDArray<float, 2>({{9, 9}, {2, 3}, {5, 6}, {9, 9}, {9, 9}}).get_vector(),
|
|
read_vector<float>(result),
|
|
MIN_FLOAT_TOLERANCE_BITS));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, pad_negative_exterior_2d_all_negative)
|
|
{
|
|
const Shape data_shape{3, 3};
|
|
const auto data = make_shared<op::Parameter>(element::f32, data_shape);
|
|
|
|
const auto pads_begin = op::Constant::create(element::i64, Shape{2}, {-1, -1});
|
|
const auto pads_end = op::Constant::create(element::i64, Shape{2}, {-1, -1});
|
|
const auto pad_val = op::Constant::create(element::f32, Shape{}, {9});
|
|
|
|
auto f = make_shared<Function>(
|
|
make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::CONSTANT),
|
|
ParameterVector{data});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}");
|
|
|
|
// Create some tensors for input/output
|
|
auto a = backend->create_tensor(element::f32, data_shape);
|
|
copy_data(a, test::NDArray<float, 2>({{1, 2, 3}, {4, 5, 6}, {7, 8, 9}}).get_vector());
|
|
auto result = backend->create_tensor(element::f32, Shape{1, 1});
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_TRUE(test::all_close_f(test::NDArray<float, 2>({{5}}).get_vector(),
|
|
read_vector<float>(result),
|
|
MIN_FLOAT_TOLERANCE_BITS));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, pad_exterior_2d_0x0)
|
|
{
|
|
const Shape data_shape{0, 0};
|
|
const auto data = make_shared<op::Parameter>(element::f32, data_shape);
|
|
|
|
const auto pads_begin = op::Constant::create(element::i64, Shape{2}, {2, 3});
|
|
const auto pads_end = op::Constant::create(element::i64, Shape{2}, {3, 2});
|
|
const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
|
|
|
|
auto f = make_shared<Function>(
|
|
make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::CONSTANT),
|
|
ParameterVector{data});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}");
|
|
|
|
// Create some tensors for input/output
|
|
auto a = backend->create_tensor(element::f32, data_shape);
|
|
auto result = backend->create_tensor(element::f32, Shape{5, 5});
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_TRUE(test::all_close_f(test::NDArray<float, 2>({{2112, 2112, 2112, 2112, 2112},
|
|
{2112, 2112, 2112, 2112, 2112},
|
|
{2112, 2112, 2112, 2112, 2112},
|
|
{2112, 2112, 2112, 2112, 2112},
|
|
{2112, 2112, 2112, 2112, 2112}})
|
|
.get_vector(),
|
|
read_vector<float>(result),
|
|
MIN_FLOAT_TOLERANCE_BITS));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, pad_exterior_2d_0x3)
|
|
{
|
|
const Shape data_shape{0, 3};
|
|
const auto data = make_shared<op::Parameter>(element::f32, data_shape);
|
|
|
|
const auto pads_begin = op::Constant::create(element::i64, Shape{2}, {2, 1});
|
|
const auto pads_end = op::Constant::create(element::i64, Shape{2}, {3, 1});
|
|
const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
|
|
|
|
auto f = make_shared<Function>(
|
|
make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::CONSTANT),
|
|
ParameterVector{data});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}");
|
|
|
|
// Create some tensors for input/output
|
|
auto a = backend->create_tensor(element::f32, data_shape);
|
|
auto result = backend->create_tensor(element::f32, Shape{5, 5});
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_TRUE(test::all_close_f(test::NDArray<float, 2>({{2112, 2112, 2112, 2112, 2112},
|
|
{2112, 2112, 2112, 2112, 2112},
|
|
{2112, 2112, 2112, 2112, 2112},
|
|
{2112, 2112, 2112, 2112, 2112},
|
|
{2112, 2112, 2112, 2112, 2112}})
|
|
.get_vector(),
|
|
read_vector<float>(result),
|
|
MIN_FLOAT_TOLERANCE_BITS));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, pad_exterior_2d_3x0)
|
|
{
|
|
const Shape data_shape{3, 0};
|
|
const auto data = make_shared<op::Parameter>(element::f32, data_shape);
|
|
|
|
const auto pads_begin = op::Constant::create(element::i64, Shape{2}, {1, 3});
|
|
const auto pads_end = op::Constant::create(element::i64, Shape{2}, {1, 2});
|
|
const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
|
|
|
|
auto f = make_shared<Function>(
|
|
make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::CONSTANT),
|
|
ParameterVector{data});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}");
|
|
|
|
// Create some tensors for input/output
|
|
auto a = backend->create_tensor(element::f32, data_shape);
|
|
auto result = backend->create_tensor(element::f32, Shape{5, 5});
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_TRUE(test::all_close_f(test::NDArray<float, 2>({{2112, 2112, 2112, 2112, 2112},
|
|
{2112, 2112, 2112, 2112, 2112},
|
|
{2112, 2112, 2112, 2112, 2112},
|
|
{2112, 2112, 2112, 2112, 2112},
|
|
{2112, 2112, 2112, 2112, 2112}})
|
|
.get_vector(),
|
|
read_vector<float>(result),
|
|
MIN_FLOAT_TOLERANCE_BITS));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, pad_exterior_4d_1x2x2x2)
|
|
{
|
|
const Shape data_shape{1, 2, 2, 2};
|
|
const auto data = make_shared<op::Parameter>(element::f32, data_shape);
|
|
|
|
const auto pads_begin = op::Constant::create(element::i64, Shape{4}, {0, 0, 1, 1});
|
|
const auto pads_end = op::Constant::create(element::i64, Shape{4}, {0, 0, 1, 1});
|
|
const auto pad_val = op::Constant::create(element::f32, Shape{}, {42});
|
|
|
|
auto f = make_shared<Function>(
|
|
make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::CONSTANT),
|
|
ParameterVector{data});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}");
|
|
|
|
// Create some tensors for input/output
|
|
auto a = backend->create_tensor(element::f32, data_shape);
|
|
// clang-format off
|
|
copy_data(a, test::NDArray<float, 4>(
|
|
{
|
|
{
|
|
{
|
|
{0.0f, 0.0f},
|
|
{0.0f, 0.0f}
|
|
},
|
|
{
|
|
{0.0f, 0.0f},
|
|
{0.0f, 0.0f}
|
|
}
|
|
}
|
|
}).get_vector());
|
|
// clang-format on
|
|
auto result = backend->create_tensor(element::f32, Shape{1, 2, 4, 4});
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
// clang-format off
|
|
EXPECT_TRUE(test::all_close_f((test::NDArray<float, 4>(
|
|
{
|
|
{
|
|
{
|
|
{42.0f, 42.0f, 42.0f, 42.0f},
|
|
{42.0f, 0.0f, 0.0f, 42.0f},
|
|
{42.0f, 0.0f, 0.0f, 42.0f},
|
|
{42.0f, 42.0f, 42.0f, 42.0f}
|
|
},
|
|
{
|
|
{42.0f, 42.0f, 42.0f, 42.0f},
|
|
{42.0f, 0.0f, 0.0f, 42.0f},
|
|
{42.0f, 0.0f, 0.0f, 42.0f},
|
|
{42.0f, 42.0f, 42.0f, 42.0f}
|
|
}
|
|
}
|
|
}).get_vector()),
|
|
read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
|
|
// clang-format on
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, pad_negative_exterior_4d)
|
|
{
|
|
const Shape data_shape{1, 3, 2, 2};
|
|
const auto data = make_shared<op::Parameter>(element::f32, data_shape);
|
|
|
|
const auto pads_begin = op::Constant::create(element::i64, Shape{4}, {0, -1, 1, 1});
|
|
const auto pads_end = op::Constant::create(element::i64, Shape{4}, {0, -1, 1, 1});
|
|
const auto pad_val = op::Constant::create(element::f32, Shape{}, {42});
|
|
|
|
auto f = make_shared<Function>(
|
|
make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::CONSTANT),
|
|
ParameterVector{data});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}");
|
|
|
|
// Create some tensors for input/output
|
|
auto a = backend->create_tensor(element::f32, data_shape);
|
|
// clang-format off
|
|
copy_data(a, test::NDArray<float, 4>(
|
|
{
|
|
{
|
|
{
|
|
{0.0f, 0.0f},
|
|
{0.0f, 0.0f}
|
|
},
|
|
{
|
|
{1.0f, 1.0f},
|
|
{1.0f, 1.0f}
|
|
},
|
|
{
|
|
{2.0f, 2.0f},
|
|
{2.0f, 2.0f}
|
|
}
|
|
}
|
|
}).get_vector());
|
|
// clang-format on
|
|
|
|
auto result = backend->create_tensor(element::f32, Shape{1, 1, 4, 4});
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
|
|
// clang-format off
|
|
EXPECT_TRUE(test::all_close_f((test::NDArray<float, 4>(
|
|
{
|
|
{
|
|
{
|
|
{42.0f, 42.0f, 42.0f, 42.0f},
|
|
{42.0f, 1.0f, 1.0f, 42.0f},
|
|
{42.0f, 1.0f, 1.0f, 42.0f},
|
|
{42.0f, 42.0f, 42.0f, 42.0f}
|
|
}
|
|
}
|
|
}).get_vector()),
|
|
read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
|
|
// clang-format on
|
|
}
|
|
|
|
// This test covers the case with multiple image and with asymetric pad
|
|
// bug has been found on nvGPU side now covered by this test
|
|
NGRAPH_TEST(${BACKEND_NAME}, pad_2channel_2image_asym)
|
|
{
|
|
const Shape data_shape{2, 2, 4, 4};
|
|
const auto window_movement_strides = Strides{2, 2};
|
|
const auto data = make_shared<op::Parameter>(element::f32, data_shape);
|
|
|
|
const auto pads_begin = op::Constant::create(element::i64, Shape{4}, {0, 0, 0, 0});
|
|
const auto pads_end = op::Constant::create(element::i64, Shape{4}, {0, 0, 2, 2});
|
|
const auto pad_val = op::Constant::create(element::f32, Shape{}, {42});
|
|
|
|
auto f = make_shared<Function>(
|
|
make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::CONSTANT),
|
|
ParameterVector{data});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}");
|
|
|
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// Create some tensors for input/output
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|
auto a = backend->create_tensor(element::f32, data_shape);
|
|
copy_data(a,
|
|
test::NDArray<float, 4>({{{{0, 1, 0, 2}, // img 0 chan 0
|
|
{0, 3, 2, 0},
|
|
{2, 0, 0, 0},
|
|
{0, 2, 1, 0}},
|
|
|
|
{{0, 0, 0, 2}, // img 0 chan 1
|
|
{0, 2, 3, 0},
|
|
{2, 0, 1, 0},
|
|
{2, 0, 0, 0}}},
|
|
|
|
{{{0, 2, 1, 1}, // img 1 chan 0
|
|
{0, 0, 2, 0},
|
|
{0, 0, 1, 2},
|
|
{0, 0, 0, 0}},
|
|
|
|
{{2, 1, 0, 0}, // img 1 chan 1
|
|
{0, 2, 0, 0},
|
|
{1, 1, 2, 0},
|
|
{1, 0, 0, 0}}}})
|
|
.get_vector());
|
|
|
|
auto result = backend->create_tensor(element::f32, Shape{2, 2, 6, 6});
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
|
|
EXPECT_TRUE(test::all_close_f((test::NDArray<float, 4>({{{{0, 1, 0, 2, 42, 42}, // img 0 chan 0
|
|
{0, 3, 2, 0, 42, 42},
|
|
{2, 0, 0, 0, 42, 42},
|
|
{0, 2, 1, 0, 42, 42},
|
|
{42, 42, 42, 42, 42, 42},
|
|
{42, 42, 42, 42, 42, 42}},
|
|
|
|
{{0, 0, 0, 2, 42, 42}, // img 1 chan 0
|
|
{0, 2, 3, 0, 42, 42},
|
|
{2, 0, 1, 0, 42, 42},
|
|
{2, 0, 0, 0, 42, 42},
|
|
{42, 42, 42, 42, 42, 42},
|
|
{42, 42, 42, 42, 42, 42}}},
|
|
|
|
{{{0, 2, 1, 1, 42, 42}, // img 1 chan 0
|
|
{0, 0, 2, 0, 42, 42},
|
|
{0, 0, 1, 2, 42, 42},
|
|
{0, 0, 0, 0, 42, 42},
|
|
{42, 42, 42, 42, 42, 42},
|
|
{42, 42, 42, 42, 42, 42}},
|
|
|
|
{{2, 1, 0, 0, 42, 42}, // img 1 chan 1
|
|
{0, 2, 0, 0, 42, 42},
|
|
{1, 1, 2, 0, 42, 42},
|
|
{1, 0, 0, 0, 42, 42},
|
|
{42, 42, 42, 42, 42, 42},
|
|
{42, 42, 42, 42, 42, 42}}}})
|
|
.get_vector()),
|
|
read_vector<float>(result),
|
|
MIN_FLOAT_TOLERANCE_BITS));
|
|
}
|
|
|
|
NGRAPH_TEST(${BACKEND_NAME}, pad_symmetric)
|
|
{
|
|
const Shape data_shape{2, 3};
|
|
const auto data = make_shared<op::Parameter>(element::f32, data_shape);
|
|
|
|
const auto pads_begin = op::Constant::create(element::i64, Shape{2}, {1, 2});
|
|
const auto pads_end = op::Constant::create(element::i64, Shape{2}, {1, 2});
|
|
const auto pad_val = op::Constant::create(element::f32, Shape{}, {2112});
|
|
|
|
auto f = make_shared<Function>(
|
|
make_shared<op::v1::Pad>(data, pads_begin, pads_end, pad_val, op::PadMode::SYMMETRIC),
|
|
ParameterVector{data});
|
|
|
|
auto backend = runtime::Backend::create("${BACKEND_NAME}");
|
|
|
|
// Create some tensors for input/output
|
|
auto a = backend->create_tensor(element::f32, data_shape);
|
|
copy_data(a, test::NDArray<float, 2>({{1, 2, 3}, {4, 5, 6}}).get_vector());
|
|
auto result = backend->create_tensor(element::f32, Shape{4, 7});
|
|
|
|
auto handle = backend->compile(f);
|
|
handle->call_with_validate({result}, {a});
|
|
EXPECT_TRUE(test::all_close_f((test::NDArray<float, 2>({{2, 1, 1, 2, 3, 3, 2},
|
|
{2, 1, 1, 2, 3, 3, 2},
|
|
{5, 4, 4, 5, 6, 6, 5},
|
|
{5, 4, 4, 5, 6, 6, 5}})
|
|
.get_vector()),
|
|
read_vector<float>(result),
|
|
MIN_FLOAT_TOLERANCE_BITS));
|
|
}
|