surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 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 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 12 | struct ShapeFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser> |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 13 | { |
| 14 | ShapeFixture() |
| 15 | { |
| 16 | m_Prototext = |
| 17 | "node { \n" |
| 18 | " name: \"Placeholder\" \n" |
| 19 | " op: \"Placeholder\" \n" |
| 20 | " attr { \n" |
| 21 | " key: \"dtype\" \n" |
| 22 | " value { \n" |
| 23 | " type: DT_FLOAT \n" |
| 24 | " } \n" |
| 25 | " } \n" |
| 26 | " attr { \n" |
| 27 | " key: \"shape\" \n" |
| 28 | " value { \n" |
| 29 | " shape { \n" |
| 30 | " dim { \n" |
| 31 | " size: 1 \n" |
| 32 | " } \n" |
| 33 | " dim { \n" |
| 34 | " size: 1 \n" |
| 35 | " } \n" |
| 36 | " dim { \n" |
| 37 | " size: 1 \n" |
| 38 | " } \n" |
| 39 | " dim { \n" |
| 40 | " size: 4 \n" |
| 41 | " } \n" |
| 42 | " } \n" |
| 43 | " } \n" |
| 44 | " } \n" |
| 45 | "} \n" |
| 46 | "node { \n" |
| 47 | " name: \"shapeTest\" \n" |
| 48 | " op: \"Shape\" \n" |
| 49 | " input: \"Placeholder\" \n" |
| 50 | " attr { \n" |
| 51 | " key: \"T\" \n" |
| 52 | " value { \n" |
| 53 | " type: DT_FLOAT \n" |
| 54 | " } \n" |
| 55 | " } \n" |
| 56 | " attr { \n" |
| 57 | " key: \"out_type\" \n" |
| 58 | " value { \n" |
| 59 | " type: DT_INT32 \n" |
| 60 | " } \n" |
| 61 | " } \n" |
| 62 | "} \n" |
| 63 | "node { \n" |
| 64 | " name: \"Reshape\" \n" |
| 65 | " op: \"Reshape\" \n" |
| 66 | " input: \"Placeholder\" \n" |
| 67 | " input: \"shapeTest\" \n" |
| 68 | " attr { \n" |
| 69 | " key: \"T\" \n" |
| 70 | " value { \n" |
| 71 | " type: DT_FLOAT \n" |
| 72 | " } \n" |
| 73 | " } \n" |
| 74 | " attr { \n" |
| 75 | " key: \"Tshape\" \n" |
| 76 | " value { \n" |
| 77 | " type: DT_INT32 \n" |
| 78 | " } \n" |
| 79 | " } \n" |
| 80 | "} \n"; |
| 81 | |
| 82 | SetupSingleInputSingleOutput({1, 4}, "Placeholder", "Reshape"); |
| 83 | } |
| 84 | }; |
| 85 | |
| 86 | BOOST_FIXTURE_TEST_CASE(ParseShape, ShapeFixture) |
| 87 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 88 | // Note: the test's output cannot be an int32 const layer, because ARMNN only supports u8 and float layers. |
| 89 | // For that reason I added a reshape layer which reshapes the input to its original dimensions. |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 90 | RunTest<2>({ 0.0f, 1.0f, 2.0f, 3.0f }, { 0.0f, 1.0f, 2.0f, 3.0f }); |
| 91 | } |
| 92 | |
| 93 | BOOST_AUTO_TEST_SUITE_END() |