IVGCVSW-1779: Updating TF Parser to include the RealDiv operator

Change-Id: I4b193d9119f5aaf41081335df043352953364c87

1 files changed, 169 insertions, 0 deletions

diff --git a/src/armnnTfParser/test/RealDiv.cpp b/src/armnnTfParser/test/RealDiv.cpp
new file mode 100644
index 0000000000..9151cf63ef
--- /dev/null
+++ b/src/armnnTfParser/test/RealDiv.cpp
@@ -0,0 +1,169 @@
+//
+// 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 "armnnTfParser/ITfParser.hpp"
+#include "ParserPrototxtFixture.hpp"
+
+BOOST_AUTO_TEST_SUITE(TensorflowParser)
+
+struct DivisionFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser>
+{
+    DivisionFixture()
+    {
+        m_Prototext = "node { \n"
+                      "    name: \"graphInput\" \n"
+                      "    op: \"Placeholder\" \n"
+                      "    attr { \n"
+                      "      key: \"dtype\" \n"
+                      "      value { \n"
+                      "        type: DT_FLOAT \n"
+                      "      } \n"
+                      "    } \n"
+                      "    attr { \n"
+                      "      key: \"shape\" \n"
+                      "      value { \n"
+                      "        shape { \n"
+                      "        } \n"
+                      "      } \n"
+                      "    } \n"
+                      "  } \n"
+                      "  node { \n"
+                      "    name: \"softmax1\" \n"
+                      "    op: \"Softmax\" \n"
+                      "    input: \"graphInput\" \n"
+                      "    attr { \n"
+                      "      key: \"T\" \n"
+                      "      value { \n"
+                      "        type: DT_FLOAT \n"
+                      "      } \n"
+                      "    } \n"
+                      "  }\n"
+                      "  node {\n"
+                      "    name: \"softmax2\"\n"
+                      "    op : \"Softmax\"\n"
+                      "    input: \"graphInput\"\n"
+                      "    attr { \n"
+                      "      key: \"T\" \n"
+                      "      value { \n"
+                      "        type: DT_FLOAT \n"
+                      "      } \n"
+                      "    } \n"
+                      "  }\n"
+                      "  node {\n"
+                      "    name: \"division\"\n"
+                      "    op : \"RealDiv\"\n"
+                      "    input: \"softmax1\"\n"
+                      "    input: \"softmax2\"\n"
+                      "    attr { \n"
+                      "      key: \"T\" \n"
+                      "      value { \n"
+                      "        type: DT_FLOAT \n"
+                      "      } \n"
+                      "    } \n"
+                      "  }\n";
+
+        SetupSingleInputSingleOutput({ 4, 1 }, "graphInput", "division");
+    }
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseDivision, DivisionFixture)
+{
+    RunTest<2>({ 2, 1.0f, 3, 1 }, { 1, 1.0f, 1, 1});
+}
+
+struct DivisionBroadcastFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser>
+{
+    DivisionBroadcastFixture(const armnn::TensorShape& inputShape0, const armnn::TensorShape& inputShape1)
+    {
+        m_Prototext = R"(
+                 node {
+                   name: "input0"
+                   op: "Placeholder"
+                   attr {
+                     key: "dtype"
+                     value {
+                       type: DT_FLOAT
+                     }
+                   }
+                   attr {
+                     key: "shape"
+                     value {
+                       shape {
+                       }
+                     }
+                   }
+                 }
+                 node {
+                   name: "input1"
+                   op: "Placeholder"
+                   attr {
+                     key: "dtype"
+                     value {
+                       type: DT_FLOAT
+                     }
+                   }
+                   attr {
+                     key: "shape"
+                     value {
+                       shape {
+                       }
+                     }
+                   }
+                 }
+                 node {
+                   name: "output"
+                   op: "RealDiv"
+                   input: "input0"
+                   input: "input1"
+                   attr {
+                     key: "T"
+                     value {
+                       type: DT_FLOAT
+                     }
+                   }
+                 }
+                 )";
+
+        Setup({ { "input0", inputShape0 },
+                { "input1", inputShape1 } },
+              { "output" });
+    }
+};
+struct DivisionBroadcastFixture4D1D : public DivisionBroadcastFixture
+{
+    DivisionBroadcastFixture4D1D() : DivisionBroadcastFixture({ 1, 2, 2, 3 }, { 1 }) {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseDivisionBroadcast4D1D, DivisionBroadcastFixture4D1D)
+{
+    RunTest<4>({ { "input0", { 0.0f, 100.0f, 2.0f,
+                               3.0f, 250.0f, 15.0f,
+                               33.0f, 60.0f, 5.0f,
+                               35.0f, 10.0f, 55.0f } },
+                 { "input1", { 5.0f } } },
+               { { "output", { 0, 20.0f, 0.4f,
+                               0.6f, 50.0f, 3.0f,
+                               6.6f, 12.0f, 1.0f,
+                               7.0f, 2.0f, 11.0f } } });
+}
+
+BOOST_FIXTURE_TEST_CASE(ParseDivideByZeroBroadcast4D1D, DivisionBroadcastFixture4D1D)
+{
+    float Inf = std::numeric_limits<float>::infinity();
+    float NaN = std::numeric_limits<float>::quiet_NaN();
+
+    RunTest<4>({ { "input0", { 0.0f,  -100.0f,  2.0f,
+                               3.0f,  -250.0f,  15.0f,
+                               33.0f,  -0,  5.0f,
+                               35.0f, -10.0f, 55.0f } },
+                 { "input1", { 0 } } },
+               { { "output", { NaN, -Inf, Inf,
+                               Inf, -Inf, Inf,
+                               Inf, NaN, Inf,
+                               Inf, -Inf, Inf } } });
+}
+
+BOOST_AUTO_TEST_SUITE_END()