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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-05-21 13:32:43 +0100 |
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committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-06-03 14:51:29 +0000 |
commit | 4c5469b192665c94118a8a558787cb9cec2d0765 (patch) | |
tree | 168aa969de8243bdbb1f25247dd9f54d037ae32c /tests/validation/UNIT/TensorInfo.cpp | |
parent | 43a129e94df41f9ac8bc78b702da5a387ada0494 (diff) | |
download | ComputeLibrary-4c5469b192665c94118a8a558787cb9cec2d0765.tar.gz |
COMPMID-2225: Add interface support for new quantized data types.
Add support for:
-QSYMM8, 8-bit quantized symmetric
-QSYMM8_PER_CHANNEL, 8-bit quantized symmetric with per channel quantization
Change-Id: I00c4ff98e44af37419470af61419ee95d0de2463
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1236
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/UNIT/TensorInfo.cpp')
-rw-r--r-- | tests/validation/UNIT/TensorInfo.cpp | 64 |
1 files changed, 63 insertions, 1 deletions
diff --git a/tests/validation/UNIT/TensorInfo.cpp b/tests/validation/UNIT/TensorInfo.cpp index b78f656932..96d07da2b4 100644 --- a/tests/validation/UNIT/TensorInfo.cpp +++ b/tests/validation/UNIT/TensorInfo.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -122,6 +122,68 @@ TEST_CASE(TensorInfoBuild, framework::DatasetMode::ALL) ARM_COMPUTE_EXPECT(info.tensor_shape() == TensorShape(13U, 15U), framework::LogLevel::ERRORS); } +/** Validates empty quantization info */ +TEST_CASE(NoQuantizationInfo, framework::DatasetMode::ALL) +{ + // Create tensor info + const TensorInfo info(TensorShape(32U, 16U), 1, DataType::F32); + + // Check quantization information + ARM_COMPUTE_EXPECT(info.quantization_info().empty(), framework::LogLevel::ERRORS); +} + +/** Validates symmetric quantization info */ +TEST_CASE(SymmQuantizationInfo, framework::DatasetMode::ALL) +{ + // Create tensor info + const float scale = 0.25f; + const TensorInfo info(TensorShape(32U, 16U), 1, DataType::QSYMM8, QuantizationInfo(scale)); + + // Check quantization information + ARM_COMPUTE_EXPECT(!info.quantization_info().empty(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!info.quantization_info().scale.empty(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(info.quantization_info().scale.size() == 1, framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(info.quantization_info().offset.empty(), framework::LogLevel::ERRORS); + + UniformQuantizationInfo qinfo = info.quantization_info().uniform(); + ARM_COMPUTE_EXPECT(qinfo.scale == scale, framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(qinfo.offset == 0.f, framework::LogLevel::ERRORS); +} + +/** Validates asymmetric quantization info */ +TEST_CASE(AsymmQuantizationInfo, framework::DatasetMode::ALL) +{ + // Create tensor info + const float scale = 0.25f; + const int32_t offset = 126; + const TensorInfo info(TensorShape(32U, 16U), 1, DataType::QSYMM8, QuantizationInfo(scale, offset)); + + // Check quantization information + ARM_COMPUTE_EXPECT(!info.quantization_info().empty(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!info.quantization_info().scale.empty(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(info.quantization_info().scale.size() == 1, framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!info.quantization_info().offset.empty(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(info.quantization_info().offset.size() == 1, framework::LogLevel::ERRORS); + + UniformQuantizationInfo qinfo = info.quantization_info().uniform(); + ARM_COMPUTE_EXPECT(qinfo.scale == scale, framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(qinfo.offset == offset, framework::LogLevel::ERRORS); +} + +/** Validates symmetric per channel quantization info */ +TEST_CASE(SymmPerChannelQuantizationInfo, framework::DatasetMode::ALL) +{ + // Create tensor info + const std::vector<float> scale = { 0.25f, 1.4f, 3.2f, 2.3f, 4.7f }; + const TensorInfo info(TensorShape(32U, 16U), 1, DataType::QSYMM8_PER_CHANNEL, QuantizationInfo(scale)); + + // Check quantization information + ARM_COMPUTE_EXPECT(!info.quantization_info().empty(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!info.quantization_info().scale.empty(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(info.quantization_info().scale.size() == scale.size(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(info.quantization_info().offset.empty(), framework::LogLevel::ERRORS); +} + TEST_SUITE_END() // TensorInfoValidation TEST_SUITE_END() } // namespace validation |