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>

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