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Diffstat (limited to 'src/armnnTfParser/test/ConcatOfConcats.cpp')
| -rw-r--r-- | src/armnnTfParser/test/ConcatOfConcats.cpp | 316 |
1 files changed, 316 insertions, 0 deletions
diff --git a/src/armnnTfParser/test/ConcatOfConcats.cpp b/src/armnnTfParser/test/ConcatOfConcats.cpp new file mode 100644 index 0000000000..7316b9f1ac --- /dev/null +++ b/src/armnnTfParser/test/ConcatOfConcats.cpp @@ -0,0 +1,316 @@ +// +// 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 ConcatOfConcatsFixture : public ParserPrototxtFixture<armnnTfParser::ITfParser> +{ + explicit ConcatOfConcatsFixture(const armnn::TensorShape& inputShape0, const armnn::TensorShape& inputShape1, + const armnn::TensorShape& inputShape2, const armnn::TensorShape& inputShape3, + unsigned int concatDim) + { + m_Prototext = R"( + node { + name: "graphInput0" + op: "Placeholder" + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + } + } + } + } + node { + name: "graphInput1" + op: "Placeholder" + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + } + } + } + } + node { + name: "graphInput2" + op: "Placeholder" + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + } + } + } + } + node { + name: "graphInput3" + op: "Placeholder" + attr { + key: "dtype" + value { + type: DT_FLOAT + } + } + attr { + key: "shape" + value { + shape { + } + } + } + } + node { + name: "Relu" + op: "Relu" + input: "graphInput0" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + } + node { + name: "Relu_1" + op: "Relu" + input: "graphInput1" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + } + node { + name: "Relu_2" + op: "Relu" + input: "graphInput2" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + } + node { + name: "Relu_3" + op: "Relu" + input: "graphInput3" + attr { + key: "T" + value { + type: DT_FLOAT + } + } + } + node { + name: "concat/axis" + op: "Const" + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: )"; + m_Prototext += std::to_string(concatDim); + m_Prototext += R"( + } + } + } + } + node { + name: "concat" + op: "ConcatV2" + input: "Relu" + input: "Relu_1" + input: "concat/axis" + attr { + key: "N" + value { + i: 2 + } + } + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + } + node { + name: "concat_1/axis" + op: "Const" + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: )"; + m_Prototext += std::to_string(concatDim); + m_Prototext += R"( + } + } + } + } + node { + name: "concat_1" + op: "ConcatV2" + input: "Relu_2" + input: "Relu_3" + input: "concat_1/axis" + attr { + key: "N" + value { + i: 2 + } + } + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + } + node { + name: "concat_2/axis" + op: "Const" + attr { + key: "dtype" + value { + type: DT_INT32 + } + } + attr { + key: "value" + value { + tensor { + dtype: DT_INT32 + tensor_shape { + } + int_val: )"; + m_Prototext += std::to_string(concatDim); + m_Prototext += R"( + } + } + } + } + node { + name: "concat_2" + op: "ConcatV2" + input: "concat" + input: "concat_1" + input: "concat_2/axis" + attr { + key: "N" + value { + i: 2 + } + } + attr { + key: "T" + value { + type: DT_FLOAT + } + } + attr { + key: "Tidx" + value { + type: DT_INT32 + } + } + } + )"; + + Setup({{ "graphInput0", inputShape0 }, + { "graphInput1", inputShape1 }, + { "graphInput2", inputShape2 }, + { "graphInput3", inputShape3}}, {"concat_2"}); + } +}; + +struct ConcatOfConcatsFixtureNCHW : ConcatOfConcatsFixture +{ + ConcatOfConcatsFixtureNCHW() : ConcatOfConcatsFixture({ 1, 1, 2, 2 }, { 1, 1, 2, 2 }, { 1, 1, 2, 2 }, + { 1, 1, 2, 2 }, 1 ) {} +}; + +struct ConcatOfConcatsFixtureNHWC : ConcatOfConcatsFixture +{ + ConcatOfConcatsFixtureNHWC() : ConcatOfConcatsFixture({ 1, 1, 2, 2 }, { 1, 1, 2, 2 }, { 1, 1, 2, 2 }, + { 1, 1, 2, 2 }, 3 ) {} +}; + +BOOST_FIXTURE_TEST_CASE(ParseConcatOfConcatsNCHW, ConcatOfConcatsFixtureNCHW) +{ + RunTest<4>({{"graphInput0", {0.0, 1.0, 2.0, 3.0}}, + {"graphInput1", {4.0, 5.0, 6.0, 7.0}}, + {"graphInput2", {8.0, 9.0, 10.0, 11.0}}, + {"graphInput3", {12.0, 13.0, 14.0, 15.0}}}, + {{"concat_2", { 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, + 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0 }}}); +} + +BOOST_FIXTURE_TEST_CASE(ParseConcatOfConcatsNHWC, ConcatOfConcatsFixtureNHWC) +{ + RunTest<4>({{"graphInput0", {0.0, 1.0, 2.0, 3.0}}, + {"graphInput1", {4.0, 5.0, 6.0, 7.0}}, + {"graphInput2", {8.0, 9.0, 10.0, 11.0}}, + {"graphInput3", {12.0, 13.0, 14.0, 15.0}}}, + {{"concat_2", { 0.0, 1.0, 4.0, 5.0, 8.0, 9.0, 12.0, 13.0, + 2.0, 3.0, 6.0, 7.0, 10.0, 11.0, 14.0, 15.0 }}}); +} + +BOOST_AUTO_TEST_SUITE_END() |