| surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // See LICENSE file in the project root for full license information. |
| 4 | // |
| 5 | |
| 6 | #include <boost/test/unit_test.hpp> |
| 7 | #include "armnnTfParser/ITfParser.hpp" |
| 8 | #include "ParserPrototxtFixture.hpp" |
| 9 | |
| 10 | BOOST_AUTO_TEST_SUITE(TensorflowParser) |
| 11 | |
| 12 | |
| 13 | template <bool withDimZero, bool withDimOne> |
| 14 | struct SqueezeFixture : public ParserPrototxtFixture<armnnTfParser::ITfParser> |
| 15 | { |
| 16 | SqueezeFixture() |
| 17 | { |
| 18 | m_Prototext = |
| 19 | "node { \n" |
| 20 | " name: \"graphInput\" \n" |
| 21 | " op: \"Placeholder\" \n" |
| 22 | " attr { \n" |
| 23 | " key: \"dtype\" \n" |
| 24 | " value { \n" |
| 25 | " type: DT_FLOAT \n" |
| 26 | " } \n" |
| 27 | " } \n" |
| 28 | " attr { \n" |
| 29 | " key: \"shape\" \n" |
| 30 | " value { \n" |
| 31 | " shape { \n" |
| 32 | " } \n" |
| 33 | " } \n" |
| 34 | " } \n" |
| 35 | " } \n" |
| 36 | "node { \n" |
| 37 | " name: \"Squeeze\" \n" |
| 38 | " op: \"Squeeze\" \n" |
| 39 | " input: \"graphInput\" \n" |
| 40 | " attr { \n" |
| 41 | " key: \"T\" \n" |
| 42 | " value { \n" |
| 43 | " type: DT_FLOAT \n" |
| 44 | " } \n" |
| 45 | " } \n" |
| 46 | " attr { \n" |
| 47 | " key: \"squeeze_dims\" \n" |
| 48 | " value { \n" |
| 49 | " list {\n"; |
| 50 | |
| 51 | if (withDimZero) |
| 52 | { |
| 53 | m_Prototext += "i:0\n"; |
| 54 | } |
| 55 | |
| 56 | if (withDimOne) |
| 57 | { |
| 58 | m_Prototext += "i:1\n"; |
| 59 | } |
| 60 | |
| 61 | m_Prototext += |
| 62 | " } \n" |
| 63 | " } \n" |
| 64 | " } \n" |
| 65 | "} \n"; |
| 66 | |
| 67 | SetupSingleInputSingleOutput({ 1, 1, 2, 2 }, "graphInput", "Squeeze"); |
| 68 | } |
| 69 | }; |
| 70 | |
| 71 | typedef SqueezeFixture<false, false> ImpliedDimensionsSqueezeFixture; |
| 72 | typedef SqueezeFixture<true, false> ExplicitDimensionZeroSqueezeFixture; |
| 73 | typedef SqueezeFixture<false, true> ExplicitDimensionOneSqueezeFixture; |
| 74 | typedef SqueezeFixture<true, true> ExplicitDimensionsSqueezeFixture; |
| 75 | |
| 76 | BOOST_FIXTURE_TEST_CASE(ParseImplicitSqueeze, ImpliedDimensionsSqueezeFixture) |
| 77 | { |
| 78 | BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("Squeeze").second.GetShape() == |
| 79 | armnn::TensorShape({2,2}))); |
| 80 | RunTest<2>({ 1.0f, 2.0f, 3.0f, 4.0f }, |
| 81 | { 1.0f, 2.0f, 3.0f, 4.0f }); |
| 82 | } |
| 83 | |
| 84 | BOOST_FIXTURE_TEST_CASE(ParseDimensionZeroSqueeze, ExplicitDimensionZeroSqueezeFixture) |
| 85 | { |
| 86 | BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("Squeeze").second.GetShape() == |
| 87 | armnn::TensorShape({1,2,2}))); |
| 88 | RunTest<3>({ 1.0f, 2.0f, 3.0f, 4.0f }, |
| 89 | { 1.0f, 2.0f, 3.0f, 4.0f }); |
| 90 | } |
| 91 | |
| 92 | BOOST_FIXTURE_TEST_CASE(ParseDimensionOneSqueeze, ExplicitDimensionOneSqueezeFixture) |
| 93 | { |
| 94 | BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("Squeeze").second.GetShape() == |
| 95 | armnn::TensorShape({1,2,2}))); |
| 96 | RunTest<3>({ 1.0f, 2.0f, 3.0f, 4.0f }, |
| 97 | { 1.0f, 2.0f, 3.0f, 4.0f }); |
| 98 | } |
| 99 | |
| 100 | BOOST_FIXTURE_TEST_CASE(ParseExplicitDimensionsSqueeze, ExplicitDimensionsSqueezeFixture) |
| 101 | { |
| 102 | BOOST_TEST((m_Parser->GetNetworkOutputBindingInfo("Squeeze").second.GetShape() == |
| 103 | armnn::TensorShape({2,2}))); |
| 104 | RunTest<2>({ 1.0f, 2.0f, 3.0f, 4.0f }, |
| 105 | { 1.0f, 2.0f, 3.0f, 4.0f }); |
| 106 | } |
| 107 | |
| 108 | BOOST_AUTO_TEST_SUITE_END() |