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-rw-r--r--src/armnnTfParser/test/Concat.cpp183
1 files changed, 0 insertions, 183 deletions
diff --git a/src/armnnTfParser/test/Concat.cpp b/src/armnnTfParser/test/Concat.cpp
deleted file mode 100644
index 2d4a95ba0a..0000000000
--- a/src/armnnTfParser/test/Concat.cpp
+++ /dev/null
@@ -1,183 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include <boost/test/unit_test.hpp>
-#include "armnnTfParser/ITfParser.hpp"
-#include "ParserPrototxtFixture.hpp"
-
-BOOST_AUTO_TEST_SUITE(TensorflowParser)
-
-struct ConcatFixture : public armnnUtils::ParserPrototxtFixture<armnnTfParser::ITfParser>
-{
- explicit ConcatFixture(const armnn::TensorShape& inputShape0, const armnn::TensorShape& inputShape1,
- 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: "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: "graphInput0"
- input: "graphInput1"
- input: "concat/axis"
- attr {
- key: "N"
- value {
- i: 2
- }
- }
- attr {
- key: "T"
- value {
- type: DT_FLOAT
- }
- }
- attr {
- key: "Tidx"
- value {
- type: DT_FLOAT
- }
- }
- }
- )";
-
- Setup({{"graphInput0", inputShape0 },
- {"graphInput1", inputShape1 }}, {"concat"});
- }
-};
-
-struct ConcatFixtureNCHW : ConcatFixture
-{
- ConcatFixtureNCHW() : ConcatFixture({ 1, 1, 2, 2 }, { 1, 1, 2, 2 }, 1 ) {}
-};
-
-struct ConcatFixtureNHWC : ConcatFixture
-{
- ConcatFixtureNHWC() : ConcatFixture({ 1, 1, 2, 2 }, { 1, 1, 2, 2 }, 3 ) {}
-};
-
-BOOST_FIXTURE_TEST_CASE(ParseConcatNCHW, ConcatFixtureNCHW)
-{
- RunTest<4>({{"graphInput0", {0.0, 1.0, 2.0, 3.0}},
- {"graphInput1", {4.0, 5.0, 6.0, 7.0}}},
- {{"concat", { 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0 }}});
-}
-
-BOOST_FIXTURE_TEST_CASE(ParseConcatNHWC, ConcatFixtureNHWC)
-{
- RunTest<4>({{"graphInput0", {0.0, 1.0, 2.0, 3.0}},
- {"graphInput1", {4.0, 5.0, 6.0, 7.0}}},
- {{"concat", { 0.0, 1.0, 4.0, 5.0, 2.0, 3.0, 6.0, 7.0 }}});
-}
-
-struct ConcatFixtureDim1 : ConcatFixture
-{
- ConcatFixtureDim1() : ConcatFixture({ 1, 2, 3, 4 }, { 1, 2, 3, 4 }, 1) {}
-};
-
-struct ConcatFixtureDim3 : ConcatFixture
-{
- ConcatFixtureDim3() : ConcatFixture({ 1, 2, 3, 4 }, { 1, 2, 3, 4 }, 3) {}
-};
-
-BOOST_FIXTURE_TEST_CASE(ParseConcatDim1, ConcatFixtureDim1)
-{
- RunTest<4>({ { "graphInput0", { 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, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0 } },
- { "graphInput1", { 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0,
- 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0 } } },
- { { "concat", { 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, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0,
- 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0,
- 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0 } } });
-}
-
-BOOST_FIXTURE_TEST_CASE(ParseConcatDim3, ConcatFixtureDim3)
-{
- RunTest<4>({ { "graphInput0", { 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,
- 16.0, 17.0, 18.0, 19.0,
- 20.0, 21.0, 22.0, 23.0 } },
- { "graphInput1", { 50.0, 51.0, 52.0, 53.0,
- 54.0, 55.0, 56.0, 57.0,
- 58.0, 59.0, 60.0, 61.0,
- 62.0, 63.0, 64.0, 65.0,
- 66.0, 67.0, 68.0, 69.0,
- 70.0, 71.0, 72.0, 73.0 } } },
- { { "concat", { 0.0, 1.0, 2.0, 3.0,
- 50.0, 51.0, 52.0, 53.0,
- 4.0, 5.0, 6.0, 7.0,
- 54.0, 55.0, 56.0, 57.0,
- 8.0, 9.0, 10.0, 11.0,
- 58.0, 59.0, 60.0, 61.0,
- 12.0, 13.0, 14.0, 15.0,
- 62.0, 63.0, 64.0, 65.0,
- 16.0, 17.0, 18.0, 19.0,
- 66.0, 67.0, 68.0, 69.0,
- 20.0, 21.0, 22.0, 23.0,
- 70.0, 71.0, 72.0, 73.0 } } });
-}
-
-BOOST_AUTO_TEST_SUITE_END() \ No newline at end of file