Compute Library
 21.02
Copy.cpp
Go to the documentation of this file.
1 /*
2  * Copyright (c) 2018-2021 Arm Limited.
3  *
4  * SPDX-License-Identifier: MIT
5  *
6  * Permission is hereby granted, free of charge, to any person obtaining a copy
7  * of this software and associated documentation files (the "Software"), to
8  * deal in the Software without restriction, including without limitation the
9  * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10  * sell copies of the Software, and to permit persons to whom the Software is
11  * furnished to do so, subject to the following conditions:
12  *
13  * The above copyright notice and this permission notice shall be included in all
14  * copies or substantial portions of the Software.
15  *
16  * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17  * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18  * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19  * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20  * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21  * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22  * SOFTWARE.
23  */
24 #include "arm_compute/core/Types.h"
26 #include "tests/NEON/Accessor.h"
28 #include "tests/datasets/ShapeDatasets.h"
30 #include "tests/framework/Macros.h"
33 #include "tests/validation/fixtures/CopyFixture.h"
34 
35 namespace arm_compute
36 {
37 namespace test
38 {
39 namespace validation
40 {
41 TEST_SUITE(NEON)
42 TEST_SUITE(Copy)
43 
44 template <typename T>
45 using NECopyFixture = CopyFixture<Tensor, Accessor, NECopy, T>;
46 
47 // *INDENT-OFF*
48 // clang-format off
50  framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid data type combination
51  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Mismatching shapes
52  TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
53  }),
54  framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
55  TensorInfo(TensorShape(32U, 11U, 2U), 1, DataType::U8),
56  TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
57  })),
58  framework::dataset::make("Expected", { false, false, true})),
60 {
61  ARM_COMPUTE_EXPECT(bool(NECopy::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
62 }
63 // clang-format on
64 // *INDENT-ON*
65 TEST_SUITE(FixedSeed)
67 FIXTURE_DATA_TEST_CASE(RunSmall, NECopyFixture<float>, framework::DatasetMode::ALL, combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make("DataType",
68  DataType::F32)))
69 {
70  // Validate output
71  validate(Accessor(_target), _reference);
72 }
73 TEST_SUITE_END() // F32
74 
76 FIXTURE_DATA_TEST_CASE(RunSmall, NECopyFixture<uint8_t>, framework::DatasetMode::ALL, combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make("DataType",
77  DataType::U8)))
78 {
79  // Validate output
80  validate(Accessor(_target), _reference);
81 }
82 TEST_SUITE_END() // U8
83 
85 FIXTURE_DATA_TEST_CASE(RunSmall, NECopyFixture<uint16_t>, framework::DatasetMode::ALL, combine(zip(datasets::SmallShapes(), datasets::SmallShapes()), framework::dataset::make("DataType",
86  DataType::U16)))
87 {
88  // Validate output
89  validate(Accessor(_target), _reference);
90 }
91 TEST_SUITE_END() // U16
92 TEST_SUITE_END() // FixedSeed
93 
94 TEST_SUITE_END() // Copy
95 TEST_SUITE_END() // Neon
96 } // namespace validation
97 } // namespace test
98 } // namespace arm_compute
Shape of a tensor.
Definition: TensorShape.h:39
1 channel, 1 U8 per channel
1 channel, 1 F32 per channel
ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)
CopyFixture< Tensor, Accessor, NECopy, T > NECopyFixture
Definition: Copy.cpp:45
1 channel, 1 U16 per channel
std::enable_if< is_container< T >::value, ContainerDataset< T > >::type make(std::string name, T &&values)
Helper function to create a ContainerDataset.
Copyright (c) 2017-2021 Arm Limited.
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SQRT), })), framework::dataset::make("Expected", { false, true, true, true, false, false, true, true, false })), input_info, output_info, act_info, expected)
Accessor implementation for Tensor objects.
Definition: Accessor.h:35
DatasetMode
Possible dataset modes.
Definition: DatasetModes.h:40
TEST_SUITE_END() FIXTURE_DATA_TEST_CASE(RunSmall
[CLActivationLayer Test snippet]
static Status validate(const ITensorInfo *input, const ITensorInfo *output)
Static function to check if given info will lead to a valid configuration of NECopy.
Definition: NECopy.cpp:58
TEST_SUITE(U8_to_S8) FIXTURE_DATA_TEST_CASE(RunSmall
validate(CLAccessor(output_state), expected_output)
1 channel, 1 S16 per channel
FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsLayerFixture< half >, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)))
Definition: AbsLayer.cpp:50
Store the tensor&#39;s metadata.
Definition: TensorInfo.h:45
zip(zip(framework::dataset::make("Weights", { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 1U), 1, DataType::F32), }), framework::dataset::make("MVBGInfo",{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(5U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, false, false}))
DataType
Available data types.
Definition: Types.h:77
combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
Definition: AbsLayer.cpp:65