IVGCVSW-4193 Add QUANTIZE to the TfLite parser
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I53431c70edb64c9283ae556407cc07e54469d8cc
diff --git a/src/armnnTfLiteParser/test/Quantize.cpp b/src/armnnTfLiteParser/test/Quantize.cpp
new file mode 100644
index 0000000..ca5e6d5
--- /dev/null
+++ b/src/armnnTfLiteParser/test/Quantize.cpp
@@ -0,0 +1,121 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersFixture.hpp"
+#include "../TfLiteParser.hpp"
+
+#include <string>
+#include <iostream>
+
+BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+
+ struct QuantizeFixture : public ParserFlatbuffersFixture
+ {
+ explicit QuantizeFixture(const std::string & inputShape,
+ const std::string & outputShape,
+ const std::string & dataType)
+ {
+ m_JsonString = R"(
+ {
+ "version": 3,
+ "operator_codes": [ { "builtin_code": "QUANTIZE" } ],
+ "subgraphs": [ {
+ "tensors": [
+ {
+ "shape": )" + inputShape + R"(,
+ "type": "FLOAT32",
+ "buffer": 0,
+ "name": "inputTensor",
+ "quantization": {
+ "min": [ 0.0 ],
+ "max": [ 255.0 ],
+ "scale": [ 1.0 ],
+ "zero_point": [ 0 ],
+ }
+ },
+ {
+ "shape": )" + outputShape + R"( ,
+ "type": )" + dataType + R"(,
+ "buffer": 1,
+ "name": "outputTensor",
+ "quantization": {
+ "min": [ 0.0 ],
+ "max": [ 255.0 ],
+ "scale": [ 1.5 ],
+ "zero_point": [ 0 ],
+ }
+ }
+ ],
+ "inputs": [ 0 ],
+ "outputs": [ 1 ],
+ "operators": [
+ {
+ "opcode_index": 0,
+ "inputs": [ 0 ],
+ "outputs": [ 1 ],
+ "builtin_options_type": "QuantizeOptions",
+ "builtin_options": {
+ },
+ "custom_options_format": "FLEXBUFFERS"
+ }
+ ],
+ } ],
+ "buffers" : [
+ { },
+ { },
+ ]
+ }
+ )";
+ SetupSingleInputSingleOutput("inputTensor", "outputTensor");
+ }
+ };
+
+ struct SimpleQuantizeFixtureQAsymm8 : QuantizeFixture
+ {
+ SimpleQuantizeFixtureQAsymm8() : QuantizeFixture("[ 1, 6 ]",
+ "[ 1, 6 ]",
+ "UINT8") {}
+ };
+
+ BOOST_FIXTURE_TEST_CASE(SimpleQuantizeQAsymm8, SimpleQuantizeFixtureQAsymm8)
+ {
+ RunTest<2, armnn::DataType::Float32, armnn::DataType::QuantisedAsymm8>(
+ 0,
+ {{"inputTensor", { 0.0f, 1.5f, 7.5f, 150.0f, 300.0f, 382.5f }}},
+ {{"outputTensor", { 0u, 1u, 5u, 100u, 200u, 255u }}});
+ }
+
+ struct SimpleQuantizeFixtureQSymm16 : QuantizeFixture
+ {
+ SimpleQuantizeFixtureQSymm16() : QuantizeFixture("[ 1, 6 ]",
+ "[ 1, 6 ]",
+ "INT16") {}
+ };
+
+ BOOST_FIXTURE_TEST_CASE(SimpleQuantizeQsymm16, SimpleQuantizeFixtureQSymm16)
+ {
+ RunTest<2, armnn::DataType::Float32, armnn::DataType::QuantisedSymm16>(
+ 0,
+ {{"inputTensor", { 0.0f, 1.5f, 7.5f, 49150.5f, -1.5f,-49152.0f }}},
+ {{"outputTensor", { 0, 1, 5, 32767, -1, -32768 }}});
+ }
+
+ struct SimpleQuantizeFixtureQSymmS8 : QuantizeFixture
+ {
+ SimpleQuantizeFixtureQSymmS8() : QuantizeFixture("[ 1, 6 ]",
+ "[ 1, 6 ]",
+ "INT8") {}
+ };
+
+ BOOST_FIXTURE_TEST_CASE(SimpleQuantizeQSymmS8, SimpleQuantizeFixtureQSymmS8)
+ {
+ RunTest<2, armnn::DataType::Float32, armnn::DataType::QSymmS8>(
+ 0,
+ {{"inputTensor", { 0.0f, 1.5f, 7.5f, 190.5f, -192.0f, -1.5f }}},
+ {{"outputTensor", { 0, 1, 5, 127, -128, -1 }}});
+ }
+
+BOOST_AUTO_TEST_SUITE_END()