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-rw-r--r--delegate/src/test/QuantizationTest.cpp429
1 files changed, 429 insertions, 0 deletions
diff --git a/delegate/src/test/QuantizationTest.cpp b/delegate/src/test/QuantizationTest.cpp
new file mode 100644
index 0000000000..5466d47f48
--- /dev/null
+++ b/delegate/src/test/QuantizationTest.cpp
@@ -0,0 +1,429 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "QuantizationTestHelper.hpp"
+
+#include <armnn_delegate.hpp>
+
+#include <flatbuffers/flatbuffers.h>
+#include <tensorflow/lite/schema/schema_generated.h>
+
+#include <doctest/doctest.h>
+
+namespace armnnDelegate
+{
+
+// Dequantize operator test functions.
+void DequantizeUint8Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> inputShape { 2, 4 };
+ std::vector<int32_t> outputShape { 2, 4 };
+
+ // Set input and output data
+ std::vector<uint8_t> inputValues
+ {
+ 0, 1, 2, 3, // Lower bounds
+ 252, 253, 254, 255 // Upper bounds
+ };
+ std::vector<float> expectedOutputValues
+ {
+ 0.f, 1.f, 2.f, 3.f,
+ 252.f, 253.f, 254.f, 255.f
+ };
+
+ QuantizationTest<uint8_t, float>(tflite::BuiltinOperator_DEQUANTIZE,
+ ::tflite::TensorType_UINT8,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues);
+}
+
+void DequantizeInt8Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> inputShape { 2, 4 };
+ std::vector<int32_t> outputShape { 2, 4 };
+
+ std::vector<int8_t> inputValues
+ {
+ -1, 0, 1, 2,
+ -128, -127, 126, 127
+ };
+ std::vector<float> expectedOutputValues
+ {
+ -1.f, 0.f, 1.f, 2.f,
+ -128.f, -127.f, 126.f, 127.f
+ };
+
+ QuantizationTest<int8_t , float>(tflite::BuiltinOperator_DEQUANTIZE,
+ ::tflite::TensorType_INT8,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues);
+}
+
+void DequantizeInt16Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> inputShape { 2, 5 };
+ std::vector<int32_t> outputShape { 2, 5 };
+
+ std::vector<int16_t> inputValues
+ {
+ -1, 0, 1, 2,
+ -32768, -16384, 16384, 32767
+ };
+ std::vector<float> expectedOutputValues
+ {
+ -1.f, 0.f, 1.f, 2.f,
+ -32768.f, -16384.f, 16384.f, 32767.f
+ };
+
+ QuantizationTest<int16_t, float>(tflite::BuiltinOperator_DEQUANTIZE,
+ ::tflite::TensorType_INT16,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues);
+}
+
+// Quantize operator test functions.
+void QuantizeFloat32Uint8Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> inputShape { 2, 4 };
+ std::vector<int32_t> outputShape { 2, 4 };
+
+ // Set input and output data
+ std::vector<float> inputValues
+ {
+ -1.f, 0.f, 1.f, 2.f, // Lower bounds
+ 252.f, 253.f, 255.f, 256.f // Upper bounds
+ };
+ std::vector<uint8_t> expectedOutputValues
+ {
+ 0, 0, 1, 2,
+ 252, 253, 255, 255
+ };
+
+ QuantizationTest<float, uint8_t>(tflite::BuiltinOperator_QUANTIZE,
+ ::tflite::TensorType_FLOAT32,
+ ::tflite::TensorType_UINT8,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues);
+}
+
+void QuantizeFloat32Int8Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> inputShape { 2, 4 };
+ std::vector<int32_t> outputShape { 2, 4 };
+
+ std::vector<float> inputValues
+ {
+ -1.f, 0.f, 1.f, 2.f,
+ -128.5f, -127.f, 126.f, 127.5f
+ };
+ std::vector<int8_t> expectedOutputValues
+ {
+ -1, 0, 1, 2,
+ -128, -127, 126, 127
+ };
+
+ QuantizationTest<float, int8_t>(tflite::BuiltinOperator_QUANTIZE,
+ ::tflite::TensorType_FLOAT32,
+ ::tflite::TensorType_INT8,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues);
+}
+
+void QuantizeFloat32Int16Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> inputShape { 2, 4 };
+ std::vector<int32_t> outputShape { 2, 4 };
+
+ std::vector<float> inputValues
+ {
+ -1.f, 0.f, 1.f, 2.f,
+ -32768.5f, -16384.f, 16384.f, 32767.5f
+ };
+ std::vector<int16_t> expectedOutputValues
+ {
+ -1, 0, 1, 2,
+ -32768, -16384, 16384, 32767
+ };
+
+ QuantizationTest<float, int16_t>(tflite::BuiltinOperator_QUANTIZE,
+ ::tflite::TensorType_FLOAT32,
+ ::tflite::TensorType_INT16,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues);
+}
+
+void QuantizeInt16Int16Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> inputShape { 2, 4 };
+ std::vector<int32_t> outputShape { 2, 4 };
+
+ std::vector<int16_t> inputValues
+ {
+ -1, 0, 1, 2,
+ -32768, -16384, 16384, 32767
+ };
+ std::vector<int16_t> expectedOutputValues
+ {
+ -1, 0, 1, 2,
+ -32768, -16384, 16384, 32767
+ };
+
+ QuantizationTest<int16_t, int16_t>(tflite::BuiltinOperator_QUANTIZE,
+ ::tflite::TensorType_INT16,
+ ::tflite::TensorType_INT16,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues);
+}
+
+void QuantizeInt16Int8Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> inputShape { 2, 4 };
+ std::vector<int32_t> outputShape { 2, 4 };
+
+ std::vector<int16_t> inputValues
+ {
+ -1, 0, 1, 2,
+ -32768, -16384, 16384, 32767
+ };
+ std::vector<int8_t> expectedOutputValues
+ {
+ -1, 0, 1, 2,
+ -128, -128, 127, 127
+ };
+
+ QuantizationTest<int16_t, int8_t>(tflite::BuiltinOperator_QUANTIZE,
+ ::tflite::TensorType_INT16,
+ ::tflite::TensorType_INT8,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues);
+}
+
+void QuantizeInt8Uint8Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> inputShape { 2, 4 };
+ std::vector<int32_t> outputShape { 2, 4 };
+
+ std::vector<int8_t> inputValues
+ {
+ -1, 0, 1, 2,
+ -128, -127, 126, 127
+ };
+ std::vector<uint8_t> expectedOutputValues
+ {
+ 0, 0, 1, 2,
+ 0, 0, 126, 127
+ };
+
+ QuantizationTest<int8_t, uint8_t>(tflite::BuiltinOperator_QUANTIZE,
+ ::tflite::TensorType_INT8,
+ ::tflite::TensorType_UINT8,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues);
+}
+
+void QuantizeUint8Int8Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> inputShape { 2, 4 };
+ std::vector<int32_t> outputShape { 2, 4 };
+
+ std::vector<uint8_t> inputValues
+ {
+ 0, 1, 2, 3,
+ 126, 127, 254, 255
+ };
+ std::vector<int8_t> expectedOutputValues
+ {
+ 0, 1, 2, 3,
+ 126, 127, 127, 127
+ };
+
+ QuantizationTest<uint8_t, int8_t>(tflite::BuiltinOperator_QUANTIZE,
+ ::tflite::TensorType_UINT8,
+ ::tflite::TensorType_INT8,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues);
+}
+
+TEST_SUITE("QuantizationTests")
+{
+
+// Dequantize Operator Tests
+TEST_CASE ("DEQUANTIZE_UINT8_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ DequantizeUint8Test(backends);
+}
+
+TEST_CASE ("DEQUANTIZE_UINT8_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ DequantizeUint8Test(backends);
+}
+
+TEST_CASE ("DEQUANTIZE_INT8_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ DequantizeInt8Test(backends);
+}
+
+TEST_CASE ("DEQUANTIZE_INT8_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ DequantizeInt8Test(backends);
+}
+
+TEST_CASE ("DEQUANTIZE_INT16_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ DequantizeInt16Test(backends);
+}
+
+TEST_CASE ("DEQUANTIZE_INT16_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ DequantizeInt16Test(backends);
+}
+
+// Quantize Operator Tests
+TEST_CASE ("QUANTIZE_FLOAT32_UINT8_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ QuantizeFloat32Uint8Test(backends);
+}
+
+TEST_CASE ("QUANTIZE_FLOAT32_UINT8_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ QuantizeFloat32Uint8Test(backends);
+}
+
+TEST_CASE ("QUANTIZE_FLOAT32_INT8_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ QuantizeFloat32Int8Test(backends);
+}
+
+TEST_CASE ("QUANTIZE_FLOAT32_INT8_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ QuantizeFloat32Int8Test(backends);
+}
+
+TEST_CASE ("QUANTIZE_FLOAT32_INT16_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ QuantizeFloat32Int16Test(backends);
+}
+
+TEST_CASE ("QUANTIZE_FLOAT32_INT16_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ QuantizeFloat32Int16Test(backends);
+}
+
+TEST_CASE ("QUANTIZE_INT16_INT16_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ QuantizeInt16Int16Test(backends);
+}
+
+TEST_CASE ("QUANTIZE_INT16_INT16_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ QuantizeInt16Int16Test(backends);
+}
+
+TEST_CASE ("QUANTIZE_INT16_INT8_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ QuantizeInt16Int8Test(backends);
+}
+
+TEST_CASE ("QUANTIZE_INT16_INT8_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ QuantizeInt16Int8Test(backends);
+}
+
+TEST_CASE ("QUANTIZE_INT8_UINT8_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ QuantizeInt8Uint8Test(backends);
+}
+
+TEST_CASE ("QUANTIZE_INT8_UINT8_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ QuantizeInt8Uint8Test(backends);
+}
+
+TEST_CASE ("QUANTIZE_UINT8_INT8_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ QuantizeUint8Int8Test(backends);
+}
+
+TEST_CASE ("QUANTIZE_UINT8_INT8_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ QuantizeUint8Int8Test(backends);
+}
+
+}
+
+} // namespace armnnDelegate \ No newline at end of file
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-10 08:01:57 +0000