Add batch-to-space-nd parser to tf-lite
Change-Id: I1e210f88f19f38ab719008e119c8fed153a3dd95
Signed-off-by: Bruno Goncalves <bruno.slackware@gmail.com>
diff --git a/src/armnnTfLiteParser/test/BatchToSpaceND.cpp b/src/armnnTfLiteParser/test/BatchToSpaceND.cpp
new file mode 100644
index 0000000..97f1828
--- /dev/null
+++ b/src/armnnTfLiteParser/test/BatchToSpaceND.cpp
@@ -0,0 +1,170 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <boost/test/unit_test.hpp>
+#include "ParserFlatbuffersFixture.hpp"
+#include "../TfLiteParser.hpp"
+
+#include <string>
+#include <iostream>
+
+BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)
+
+struct BatchToSpaceNDFixture : public ParserFlatbuffersFixture
+{
+ explicit BatchToSpaceNDFixture(const std::string & inputShape,
+ const std::string & outputShape,
+ const std::string & blockShapeData,
+ const std::string & cropsData)
+ {
+ m_JsonString = R"(
+ {
+ "version": 3,
+ "operator_codes": [ { "builtin_code": "BATCH_TO_SPACE_ND" } ],
+ "subgraphs": [ {
+ "tensors": [
+ {
+ "shape": )" + inputShape + R"(,
+ "type": "FLOAT32",
+ "buffer": 0,
+ "name": "inputTensor",
+ "quantization": {
+ "min": [ 0.0 ],
+ "max": [ 255.0 ],
+ "scale": [ 1.0 ],
+ "zero_point": [ 0 ],
+ }
+ },
+ {
+ "shape": )" + outputShape + R"(,
+ "type": "FLOAT32",
+ "buffer": 1,
+ "name": "outputTensor",
+ "quantization": {
+ "min": [ 0.0 ],
+ "max": [ 255.0 ],
+ "scale": [ 1.0 ],
+ "zero_point": [ 0 ],
+ }
+ },
+ {
+ "shape": [ 2 ],
+ "type": "INT32",
+ "buffer": 2,
+ "name": "blockShapeTensor",
+ "quantization": {
+ "min": [ 0.0 ],
+ "max": [ 255.0 ],
+ "scale": [ 1.0 ],
+ "zero_point": [ 0 ],
+ }
+ },
+ {
+ "shape": [ 2, 2 ],
+ "type": "INT32",
+ "buffer": 3,
+ "name": "cropsTensor",
+ "quantization": {
+ "min": [ 0.0 ],
+ "max": [ 255.0 ],
+ "scale": [ 1.0 ],
+ "zero_point": [ 0 ],
+ }
+ }
+ ],
+ "inputs": [ 0 ],
+ "outputs": [ 1 ],
+ "operators": [
+ {
+ "opcode_index": 0,
+ "inputs": [ 0, 2, 3 ],
+ "outputs": [ 1 ],
+ "custom_options_format": "FLEXBUFFERS"
+ }
+ ],
+ } ],
+ "buffers" : [
+ { },
+ { },
+ { "data": )" + blockShapeData + R"(, },
+ { "data": )" + cropsData + R"(, },
+ ]
+ }
+ )";
+ Setup();
+ }
+};
+
+struct BatchToSpaceNDFixtureTest1 : public BatchToSpaceNDFixture
+{
+ BatchToSpaceNDFixtureTest1() : BatchToSpaceNDFixture("[ 4, 2, 2, 1 ]",
+ "[ 1, 4, 4, 1 ]",
+ "[ 2,0,0,0, 2,0,0,0 ]",
+ "[ 0,0,0,0, 0,0,0,0, 0,0,0,0, 0,0,0,0 ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(BatchToSpaceNDTest1, BatchToSpaceNDFixtureTest1)
+{
+ RunTest<4, armnn::DataType::Float32>
+ (0,
+ {{ "inputTensor", { // Batch 0, Height 0, Width (2) x Channel (1)
+ 1.0f, 3.0f,
+ // Batch 0, Height 1, Width (2) x Channel (1)
+ 9.0f, 11.0f,
+
+ // Batch 1, Height 0, Width (2) x Channel (1)
+ 2.0f, 4.0f,
+ // Batch 1, Height 1, Width (2) x Channel (1)
+ 10.0f, 12.0f,
+
+ // Batch 2, Height 0, Width (2) x Channel (1)
+ 5.0f, 7.0f,
+ // Batch 2, Height 1, Width (2) x Channel (1)
+ 13.0f, 15.0f,
+
+ // Batch 3, Height 0, Width (2) x Channel (3)
+ 6.0f, 8.0f,
+ // Batch 3, Height 1, Width (2) x Channel (1)
+ 14.0f, 16.0f }}},
+ {{ "outputTensor", { 1.0f, 2.0f, 3.0f, 4.0f,
+ 5.0f, 6.0f, 7.0f, 8.0f,
+ 9.0f, 10.0f, 11.0f, 12.0f,
+ 13.0f, 14.0f, 15.0f, 16.0f }}});
+}
+
+struct BatchToSpaceNDFixtureTest2 : public BatchToSpaceNDFixture
+{
+ BatchToSpaceNDFixtureTest2() : BatchToSpaceNDFixture("[ 4, 1, 1, 1 ]",
+ "[ 1, 2, 2, 1 ]",
+ "[ 2,0,0,0, 2,0,0,0 ]",
+ "[ 0,0,0,0, 0,0,0,0, 0,0,0,0, 0,0,0,0 ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseBatchToSpaceNDTest2, BatchToSpaceNDFixtureTest2)
+{
+ RunTest<4, armnn::DataType::Float32>
+ (0,
+ {{ "inputTensor", { 1.0f, 2.0f, 3.0f, 4.0f }}},
+ {{ "outputTensor", { // Batch 0, Height 0, Width (2) x Channel (1)
+ 1.0f, 2.0f, 3.0f, 4.0f }}});
+}
+
+struct BatchToSpaceNDFixtureTest3 : public BatchToSpaceNDFixture
+{
+ BatchToSpaceNDFixtureTest3() : BatchToSpaceNDFixture("[ 4, 1, 1, 3 ]",
+ "[ 1, 2, 2, 3 ]",
+ "[ 2,0,0,0, 2,0,0,0 ]",
+ "[ 0,0,0,0, 0,0,0,0, 0,0,0,0, 0,0,0,0 ]") {}
+};
+
+BOOST_FIXTURE_TEST_CASE(ParseBatchToSpaceNDTest3, BatchToSpaceNDFixtureTest3)
+{
+ RunTest<4, armnn::DataType::Float32>
+ (0,
+ {{ "inputTensor", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f }}},
+ {{ "outputTensor", { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f }}});
+}
+
+BOOST_AUTO_TEST_SUITE_END()