Release 18.08

1 files changed, 199 insertions, 0 deletions

diff --git a/src/armnnTfLiteParser/test/DepthwiseConvolution2D.cpp b/src/armnnTfLiteParser/test/DepthwiseConvolution2D.cpp
new file mode 100644
index 0000000000..4a06418095
--- /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()