diff options
Diffstat (limited to 'src/armnnTfParser/test/FusedBatchNorm.cpp')
| -rw-r--r-- | src/armnnTfParser/test/FusedBatchNorm.cpp | 175 |
1 files changed, 175 insertions, 0 deletions
diff --git a/src/armnnTfParser/test/FusedBatchNorm.cpp b/src/armnnTfParser/test/FusedBatchNorm.cpp new file mode 100644 index 0000000000..632d5f01f9 --- /dev/null +++ b/src/armnnTfParser/test/FusedBatchNorm.cpp @@ -0,0 +1,175 @@ +// +// 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 FusedBatchNormFixture : public ParserPrototxtFixture<armnnTfParser::ITfParser> +{ + FusedBatchNormFixture() + { + 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: \"Const_1\" \n" + " op: \"Const\" \n" + " attr { \n" + " key: \"dtype\" \n" + " value { \n" + " type: DT_FLOAT \n" + " } \n" + " } \n" + " attr { \n" + " key: \"value\" \n" + " value { \n" + " tensor { \n" + " dtype: DT_FLOAT \n" + " tensor_shape { \n" + " dim { \n" + " size: 1 \n" + " } \n" + " } \n" + " float_val: 1.0 \n" + " } \n" + " } \n" + " } \n" + "} \n" + "node { \n" + " name: \"Const_2\" \n" + " op: \"Const\" \n" + " attr { \n" + " key: \"dtype\" \n" + " value { \n" + " type: DT_FLOAT \n" + " } \n" + " } \n" + " attr { \n" + " key: \"value\" \n" + " value { \n" + " tensor { \n" + " dtype: DT_FLOAT \n" + " tensor_shape { \n" + " dim { \n" + " size: 1 \n" + " } \n" + " } \n" + " float_val: 0.0 \n" + " } \n" + " } \n" + " } \n" + "} \n" + "node { \n" + " name: \"FusedBatchNormLayer/mean\" \n" + " op: \"Const\" \n" + " attr { \n" + " key: \"dtype\" \n" + " value { \n" + " type: DT_FLOAT \n" + " } \n" + " } \n" + " attr { \n" + " key: \"value\" \n" + " value { \n" + " tensor { \n" + " dtype: DT_FLOAT \n" + " tensor_shape { \n" + " dim { \n" + " size: 1 \n" + " } \n" + " } \n" + " float_val: 5.0 \n" + " } \n" + " } \n" + " } \n" + "} \n" + "node { \n" + " name: \"FusedBatchNormLayer/variance\" \n" + " op: \"Const\" \n" + " attr { \n" + " key: \"dtype\" \n" + " value { \n" + " type: DT_FLOAT \n" + " } \n" + " } \n" + " attr { \n" + " key: \"value\" \n" + " value { \n" + " tensor { \n" + " dtype: DT_FLOAT \n" + " tensor_shape { \n" + " dim { \n" + " size: 1 \n" + " } \n" + " } \n" + " float_val: 2.0 \n" + " } \n" + " } \n" + " } \n" + "} \n" + "node { \n" + " name: \"output\" \n" + " op: \"FusedBatchNorm\" \n" + " input: \"graphInput\" \n" + " input: \"Const_1\" \n" + " input: \"Const_2\" \n" + " input: \"FusedBatchNormLayer/mean\" \n" + " input: \"FusedBatchNormLayer/variance\" \n" + " attr { \n" + " key: \"T\" \n" + " value { \n" + " type: DT_FLOAT \n" + " } \n" + " } \n" + " attr { \n" + " key: \"data_format\" \n" + " value { \n" + " s: \"NHWC\" \n" + " } \n" + " } \n" + " attr { \n" + " key: \"epsilon\" \n" + " value { \n" + " f: 0.0010000000475 \n" + " } \n" + " } \n" + " attr { \n" + " key: \"is_training\" \n" + " value { \n" + " b: false \n" + " } \n" + " } \n" + "} \n"; + + SetupSingleInputSingleOutput({1, 3, 3, 1}, "graphInput", "output"); + } +}; + +BOOST_FIXTURE_TEST_CASE(ParseFusedBatchNorm, FusedBatchNormFixture) +{ + RunTest<4>({1, 2, 3, 4, 5, 6, 7, 8, 9}, // input data + {-2.8277204f, -2.12079024f, -1.4138602f, + -0.7069301f, 0.0f, 0.7069301f, + 1.4138602f, 2.12079024f, 2.8277204f}); // expected output data +} + +BOOST_AUTO_TEST_SUITE_END() |