Compute Library
 22.05
ConvertFullyConnectedWeights.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"
28 #include "tests/NEON/Accessor.h"
29 #include "tests/datasets/ShapeDatasets.h"
31 #include "tests/framework/Macros.h"
34 #include "tests/validation/fixtures/ConvertFullyConnectedWeightsFixture.h"
35 
36 namespace arm_compute
37 {
38 namespace test
39 {
40 namespace validation
41 {
42 namespace
43 {
44 auto params = combine(framework::dataset::make("WeightsWidth", { 16, 32, 64 }), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
45 } // namespace
46 
47 TEST_SUITE(NEON)
48 TEST_SUITE(ConvertFullyConnectedWeights)
49 
50 // *INDENT-OFF*
51 // clang-format off
53  framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 42U), 1, DataType::F32), // Mismatching data types
54  TensorInfo(TensorShape(32U, 42U), 1, DataType::F32), // Valid
55  TensorInfo(TensorShape(27U, 42U), 1, DataType::F32), // Mismatching shapes
56  TensorInfo(TensorShape(27U, 42U), 1, DataType::F32), // Wrong DataLayout
57  }),
58  framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 42U), 1, DataType::F16),
59  TensorInfo(TensorShape(32U, 42U), 1, DataType::F32),
60  TensorInfo(TensorShape(32U, 42U), 1, DataType::F32),
61  TensorInfo(TensorShape(32U, 42U), 1, DataType::F32),
62  })),
63  framework::dataset::make("OriginalInput", { TensorShape(7U, 3U, 2U),
64  TensorShape(7U, 3U, 2U),
65  TensorShape(7U, 3U, 2U),
66  TensorShape(7U, 3U, 2U),
67  })),
72  })),
73  framework::dataset::make("Expected", { false, true, false, false})),
74  input_info, output_info, original_input_shape, data_layout, expected)
75 {
76  bool is_valid = bool(NEConvertFullyConnectedWeights::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), original_input_shape, data_layout));
78 }
79 // clang-format on
80 // *INDENT-ON*
81 
82 template <typename T>
83 using NEConvertFullyConnectedWeightsFixture = ConvertFullyConnectedWeightsValidationFixture<Tensor, Accessor, NEConvertFullyConnectedWeights, T>;
84 
85 TEST_SUITE(FP32)
86 FIXTURE_DATA_TEST_CASE(RunSmall, NEConvertFullyConnectedWeightsFixture<float>, framework::DatasetMode::ALL, combine(datasets::Small3DShapes(), combine(params, framework::dataset::make("DataType",
87  DataType::F32))))
88 {
89  // Validate output
90  validate(Accessor(_target), _reference);
91 }
93  DataType::F32))))
94 {
95  // Validate output
96  validate(Accessor(_target), _reference);
97 }
98 TEST_SUITE_END() // FP32
99 
100 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
101 TEST_SUITE(FP16)
103  DataType::F16))))
104 {
105  // Validate output
106  validate(Accessor(_target), _reference);
107 }
109  DataType::F16))))
110 {
111  // Validate output
112  validate(Accessor(_target), _reference);
113 }
114 TEST_SUITE_END() // FP16
115 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
116 
118 FIXTURE_DATA_TEST_CASE(RunSmall, NEConvertFullyConnectedWeightsFixture<uint8_t>, framework::DatasetMode::ALL, combine(datasets::Small3DShapes(), combine(params, framework::dataset::make("DataType",
119  DataType::QASYMM8))))
120 {
121  // Validate output
122  validate(Accessor(_target), _reference);
123 }
125  framework::dataset::make("DataType",
127 {
128  // Validate output
129  validate(Accessor(_target), _reference);
130 }
131 TEST_SUITE_END() // QASYMM8
132 
133 TEST_SUITE_END() // ConvertFullyConnectedWeights
134 TEST_SUITE_END() // Neon
135 } // namespace validation
136 } // namespace test
137 } // namespace arm_compute
ConvertFullyConnectedWeightsValidationFixture< Tensor, Accessor, NEConvertFullyConnectedWeights, T > NEConvertFullyConnectedWeightsFixture
1 channel, 1 F32 per channel
ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)
std::enable_if< is_container< T >::value, ContainerDataset< T > >::type make(std::string name, T &&values)
Helper function to create a ContainerDataset.
Copyright (c) 2017-2022 Arm Limited.
1 channel, 1 F16 per channel
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]
quantized, asymmetric fixed-point 8-bit number unsigned
validate(CLAccessor(output_state), expected_output)
Num samples, channels, height, width.
FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsLayerFixture< half >, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)))
Definition: AbsLayer.cpp:50
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape, DataLayout data_layout)
Static function to check if given info will lead to a valid configuration of NEConvertFullyConnectedW...
Num samples, height, width, channels.
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}))
TEST_SUITE(QASYMM8_to_F32) FIXTURE_DATA_TEST_CASE(RunSmall
DataType
Available data types.
Definition: Types.h:79
combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
Definition: AbsLayer.cpp:65