Release 18.08
diff --git a/src/armnnTfLiteParser/test/DepthwiseConvolution2D.cpp b/src/armnnTfLiteParser/test/DepthwiseConvolution2D.cpp
new file mode 100644
index 0000000..4a06418
--- /dev/null
+++ b/src/armnnTfLiteParser/test/DepthwiseConvolution2D.cpp
@@ -0,0 +1,199 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersFixture.hpp"
+#include "../TfLiteParser.hpp"
+
+#include <string>
+#include <iostream>
+
+BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+
+struct DepthwiseConvolution2dFixture : public ParserFlatbuffersFixture
+{
+ explicit DepthwiseConvolution2dFixture(const std::string& inputShape,
+ const std::string& outputShape,
+ const std::string& filterShape,
+ const std::string& filterData,
+ const std::string& strides,
+ const std::string& paddingType,
+ const std::string biasShape = "",
+ const std::string biasData = "")
+ {
+ std::string inputTensors = "[ 0, 2 ]";
+ std::string biasTensor = "";
+ std::string biasBuffer = "";
+ if (biasShape.size() > 0 && biasData.size() > 0)
+ {
+ inputTensors = "[ 0, 2, 3 ]";
+ biasTensor = R"(
+ {
+ "shape": )" + biasShape + R"( ,
+ "type": "INT32",
+ "buffer": 3,
+ "name": "biasTensor",
+ "quantization": {
+ "min": [ 0.0 ],
+ "max": [ 255.0 ],
+ "scale": [ 1.0 ],
+ "zero_point": [ 0 ],
+ }
+ } )";
+ biasBuffer = R"(
+ { "data": )" + biasData + R"(, }, )";
+ }
+ m_JsonString = R"(
+ {
+ "version": 3,
+ "operator_codes": [ { "builtin_code": "DEPTHWISE_CONV_2D" } ],
+ "subgraphs": [ {
+ "tensors": [
+ {
+ "shape": )" + inputShape + R"(,
+ "type": "UINT8",
+ "buffer": 0,
+ "name": "inputTensor",
+ "quantization": {
+ "min": [ 0.0 ],
+ "max": [ 255.0 ],
+ "scale": [ 1.0 ],
+ "zero_point": [ 0 ],
+ }
+ },
+ {
+ "shape": )" + outputShape + R"(,
+ "type": "UINT8",
+ "buffer": 1,
+ "name": "outputTensor",
+ "quantization": {
+ "min": [ 0.0 ],
+ "max": [ 511.0 ],
+ "scale": [ 2.0 ],
+ "zero_point": [ 0 ],
+ }
+ },
+ {
+ "shape": )" + filterShape + R"(,
+ "type": "UINT8",
+ "buffer": 2,
+ "name": "filterTensor",
+ "quantization": {
+ "min": [ 0.0 ],
+ "max": [ 255.0 ],
+ "scale": [ 1.0 ],
+ "zero_point": [ 0 ],
+ }
+ }, )" + biasTensor + R"(
+ ],
+ "inputs": [ 0 ],
+ "outputs": [ 1 ],
+ "operators": [
+ {
+ "opcode_index": 0,
+ "inputs": )" + inputTensors + R"(,
+ "outputs": [ 1 ],
+ "builtin_options_type": "DepthwiseConv2DOptions",
+ "builtin_options": {
+ "padding": ")" + paddingType + R"(",
+ "stride_w": )" + strides+ R"(,
+ "stride_h": )" + strides+ R"(,
+ "depth_multiplier": 1,
+ "fused_activation_function": "NONE"
+ },
+ "custom_options_format": "FLEXBUFFERS"
+ }
+ ],
+ } ],
+ "buffers" : [
+ { },
+ { },
+ { "data": )" + filterData + R"(, }, )"
+ + biasBuffer + R"(
+ ]
+ }
+ )";
+ SetupSingleInputSingleOutput("inputTensor", "outputTensor");
+ }
+};
+
+struct DepthwiseConvolution2dSameFixture : DepthwiseConvolution2dFixture
+{
+ DepthwiseConvolution2dSameFixture()
+ : DepthwiseConvolution2dFixture("[ 1, 3, 3, 1 ]", // inputShape
+ "[ 1, 3, 3, 1 ]", // outputShape
+ "[ 1, 3, 3, 1 ]", // filterShape
+ "[ 9,8,7, 6,5,4, 3,2,1 ]", // filterData
+ "1", // stride w and h
+ "SAME") // padding type
+ {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseDepthwiseConv2DSame, DepthwiseConvolution2dSameFixture)
+{
+ RunTest<4, uint8_t>(
+ 0,
+ { 0, 1, 2,
+ 3, 4, 5,
+ 6, 7, 8 },
+ // the expected values were generated using the example python implementation at
+ // https://eli.thegreenplace.net/2018/depthwise-separable-convolutions-for-machine-learning/
+ // divide the expected values by the output scale, as it is not 1.0
+ { 14/2, 35/2, 38/2,
+ 57/2, 120/2, 111/2,
+ 110/2, 197/2, 158/2 });
+}
+
+struct DepthwiseConvolution2dValidFixture : DepthwiseConvolution2dFixture
+{
+ DepthwiseConvolution2dValidFixture ()
+ : DepthwiseConvolution2dFixture("[ 1, 3, 3, 1 ]", // inputShape
+ "[ 1, 1, 1, 1 ]", // outputShape
+ "[ 1, 3, 3, 1 ]", // filterShape
+ "[ 9,8,7, 6,5,4, 3,2,1 ]", // filterData
+ "1", // stride w and h
+ "VALID") // padding type
+ {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseDepthwiseConv2DValid, DepthwiseConvolution2dValidFixture)
+{
+ RunTest<4, uint8_t>(
+ 0,
+ { 0, 1, 2,
+ 3, 4, 5,
+ 6, 7, 8 },
+ // divide the expected values by the output scale, as it is not 1.0
+ { 120/2 });
+}
+
+struct DepthwiseConvolution2dSameBiasFixture : DepthwiseConvolution2dFixture
+{
+ DepthwiseConvolution2dSameBiasFixture()
+ : DepthwiseConvolution2dFixture("[ 1, 3, 3, 1 ]", // inputShape
+ "[ 1, 3, 3, 1 ]", // outputShape
+ "[ 1, 3, 3, 1 ]", // filterShape
+ "[ 9,8,7, 6,5,4, 3,2,1 ]", // filterData
+ "1", // stride w and h
+ "SAME", // padding type
+ "[ 1 ]", // biasShape
+ "[ 10, 0, 0, 0 ]") // biasData
+ {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseDepthwiseConv2DSameBias, DepthwiseConvolution2dSameBiasFixture)
+{
+ RunTest<4, uint8_t>(
+ 0,
+ { 0, 1, 2,
+ 3, 4, 5,
+ 6, 7, 8 },
+ // divide the expected values by the output scale, as it is not 1.0
+ { ( 14+10)/2, ( 35+10)/2, ( 38+10)/2,
+ ( 57+10)/2, (120+10)/2, (111+10)/2,
+ (110+10)/2, (197+10)/2, (158+10)/2 });
+}
+
+BOOST_AUTO_TEST_SUITE_END()