aboutsummaryrefslogtreecommitdiff
path: root/delegate/src/test/SplitTest.cpp
diff options
context:
space:
mode:
authorSadik Armagan <sadik.armagan@arm.com>2020-11-27 12:40:52 +0000
committerTeresaARM <teresa.charlinreyes@arm.com>2020-11-30 15:12:22 +0000
commit34fa1bd7994af9abf52dbcc4aa808d0fa5f14aa3 (patch)
tree8ff6041b92da57cd56ccbcd3b746bdc0fb29078a /delegate/src/test/SplitTest.cpp
parentb7fa5104715e097bf3778d2485d759a4612460cc (diff)
downloadarmnn-34fa1bd7994af9abf52dbcc4aa808d0fa5f14aa3.tar.gz
IVGCVSW-5393 'TfLiteDelegate: Implement the split operators'
* Added SPLIT and SPLIT_V support to armnn_delegate Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I2def9b8be783b25ef17a997e521c6027553035d3
Diffstat (limited to 'delegate/src/test/SplitTest.cpp')
-rw-r--r--delegate/src/test/SplitTest.cpp262
1 files changed, 262 insertions, 0 deletions
diff --git a/delegate/src/test/SplitTest.cpp b/delegate/src/test/SplitTest.cpp
new file mode 100644
index 0000000000..5940516583
--- /dev/null
+++ b/delegate/src/test/SplitTest.cpp
@@ -0,0 +1,262 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "SplitTestHelper.hpp"
+
+#include <armnn_delegate.hpp>
+
+#include <flatbuffers/flatbuffers.h>
+#include <tensorflow/lite/schema/schema_generated.h>
+
+#include <doctest/doctest.h>
+
+namespace armnnDelegate
+{
+
+// SPLIT Operator
+void SplitUint8Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> axisShape { 1 };
+ std::vector<int32_t> inputShape { 2, 2, 2, 2} ;
+ std::vector<int32_t> outputShape0 { 2, 2, 2, 1 };
+ std::vector<int32_t> outputShape1 { 2, 2, 2, 1 };
+ std::vector<std::vector<int32_t>> outputShapes{ outputShape0, outputShape1 };
+
+ std::vector<int32_t> axisData { 3 }; // Axis
+ std::vector<uint8_t> inputValues { 1, 2, 3, 4, 5, 6, 7, 8,
+ 9, 10, 11, 12, 13, 14, 15, 16 }; // Input
+
+
+ std::vector<uint8_t> expectedOutputValues0 { 1, 3, 5, 7, 9, 11, 13, 15 };
+ std::vector<uint8_t> expectedOutputValues1 { 2, 4, 6, 8, 10, 12, 14, 16 };
+ std::vector<std::vector<uint8_t>> expectedOutputValues{ expectedOutputValues0, expectedOutputValues1 };
+
+ int32_t numSplits = 2;
+
+ SplitTest<uint8_t>(::tflite::TensorType_UINT8,
+ backends,
+ axisShape,
+ inputShape,
+ outputShapes,
+ axisData,
+ inputValues,
+ expectedOutputValues,
+ numSplits);
+}
+
+void SplitFp32Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> axisShape { 1 };
+ std::vector<int32_t> inputShape { 2, 2, 2, 2 };
+ std::vector<int32_t> outputShape0 { 2, 1, 2, 2 };
+ std::vector<int32_t> outputShape1 { 2, 1, 2, 2 };
+ std::vector<std::vector<int32_t>> outputShapes{ outputShape0, outputShape1 };
+
+ std::vector<int32_t> axisData { 1 }; // Axis
+ std::vector<float> inputValues { 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 }; // Input
+
+
+ std::vector<float> expectedOutputValues0 { 1.0f, 2.0f, 3.0f, 4.0f, 9.0f, 10.0f, 11.0f, 12.0f };
+ std::vector<float> expectedOutputValues1 { 5.0f, 6.0f, 7.0f, 8.0f, 13.0f, 14.0f, 15.0f, 16.0f };
+ std::vector<std::vector<float>> expectedOutputValues{ expectedOutputValues0, expectedOutputValues1 };
+
+ int32_t numSplits = 2;
+
+ SplitTest<float>(::tflite::TensorType_FLOAT32,
+ backends,
+ axisShape,
+ inputShape,
+ outputShapes,
+ axisData,
+ inputValues,
+ expectedOutputValues,
+ numSplits);
+}
+
+// SPLIT Test Suite
+TEST_SUITE("SPLIT_CpuRefTests")
+{
+
+TEST_CASE ("SPLIT_Uint8_CpuRef_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef};
+ SplitUint8Test(backends);
+}
+
+TEST_CASE ("SPLIT_Fp32_CpuRef_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef};
+ SplitFp32Test(backends);
+}
+
+}
+
+TEST_SUITE("SPLIT_CpuAccTests")
+{
+
+TEST_CASE ("SPLIT_Uint8_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc};
+ SplitUint8Test(backends);
+}
+
+TEST_CASE ("SPLIT_Fp32_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc};
+ SplitFp32Test(backends);
+}
+
+}
+
+TEST_SUITE("SPLIT_GpuAccTests")
+{
+
+TEST_CASE ("SPLIT_Uint8_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
+ SplitUint8Test(backends);
+}
+
+TEST_CASE ("SPLIT_Fp32_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
+ SplitFp32Test(backends);
+}
+
+}
+// End of SPLIT Test Suite
+
+// SPLIT_V Operator
+void SplitVUint8Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> axisShape { 1 };
+ std::vector<int32_t> inputShape { 2, 4, 2, 2 };
+ std::vector<int32_t> splitsShape { 2 };
+ std::vector<int32_t> outputShape0 { 2, 3, 2, 2 };
+ std::vector<int32_t> outputShape1 { 2, 1, 2, 2 };
+ std::vector<std::vector<int32_t>> outputShapes{ outputShape0, outputShape1 };
+
+ std::vector<int32_t> axisData { 1 }; // Axis
+ std::vector<int32_t> splitsData { 3, 1 }; // Splits
+ std::vector<uint8_t> inputValues { 1, 2, 3, 4, 5, 6, 7, 8,
+ 9, 10, 11, 12, 13, 14, 15, 16,
+ 17, 18, 19, 20, 21, 22, 23, 24,
+ 25, 26, 27, 28, 29, 30, 31, 32 }; // Input
+
+
+ std::vector<uint8_t> expectedOutputValues0 { 1, 2, 3, 4, 5, 6, 7, 8,
+ 9, 10, 11, 12, 17, 18, 19, 20,
+ 21, 22, 23, 24, 25, 26, 27, 28 };
+ std::vector<uint8_t> expectedOutputValues1 { 13, 14, 15, 16, 29, 30, 31, 32 };
+ std::vector<std::vector<uint8_t>> expectedOutputValues{ expectedOutputValues0, expectedOutputValues1 };
+
+ int32_t numSplits = 2;
+
+ SplitVTest<uint8_t>(::tflite::TensorType_UINT8,
+ backends,
+ inputShape,
+ splitsShape,
+ axisShape,
+ outputShapes,
+ inputValues,
+ splitsData,
+ axisData,
+ expectedOutputValues,
+ numSplits);
+}
+
+void SplitVFp32Test(std::vector<armnn::BackendId>& backends)
+{
+ std::vector<int32_t> axisShape { 1 };
+ std::vector<int32_t> inputShape { 2, 4, 2, 2 };
+ std::vector<int32_t> splitsShape { 2 };
+ std::vector<int32_t> outputShape0 { 2, 3, 2, 2 };
+ std::vector<int32_t> outputShape1 { 2, 1, 2, 2 };
+ std::vector<std::vector<int32_t>> outputShapes{ outputShape0, outputShape1 };
+
+ std::vector<int32_t> axisData { 1 }; // Axis
+ std::vector<int32_t> splitsData { 3, 1 }; // Splits
+ std::vector<float> inputValues { 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,
+ 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f,
+ 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, 31.0f, 32.0f }; // Input
+
+
+ std::vector<float> expectedOutputValues0 { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f,
+ 9.0f, 10.0f, 11.0f, 12.0f, 17.0f, 18.0f, 19.0f, 20.0f,
+ 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f, 28.0f };
+ std::vector<float> expectedOutputValues1 { 13.0f, 14.0f, 15.0f, 16.0f, 29.0f, 30.0f, 31.0f, 32.0f };
+ std::vector<std::vector<float>> expectedOutputValues{ expectedOutputValues0, expectedOutputValues1 };
+
+ int32_t numSplits = 2;
+
+ SplitVTest<float>(::tflite::TensorType_FLOAT32,
+ backends,
+ inputShape,
+ splitsShape,
+ axisShape,
+ outputShapes,
+ inputValues,
+ splitsData,
+ axisData,
+ expectedOutputValues,
+ numSplits);
+}
+
+// SPLIT_V Test Suite
+TEST_SUITE("SPLIT_V_CpuRefTests")
+{
+
+TEST_CASE ("SPLIT_V_Uint8_CpuRef_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef};
+ SplitVUint8Test(backends);
+}
+
+TEST_CASE ("SPLIT_V_Fp32_CpuRef_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef};
+ SplitVFp32Test(backends);
+}
+
+}
+
+TEST_SUITE("SPLIT_V_CpuAccTests")
+{
+
+TEST_CASE ("SPLIT_V_Uint8_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc};
+ SplitVUint8Test(backends);
+}
+
+TEST_CASE ("SPLIT_V_Fp32_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc};
+ SplitVFp32Test(backends);
+}
+
+}
+
+TEST_SUITE("SPLIT_V_GpuAccTests")
+{
+
+TEST_CASE ("SPLIT_V_Uint8_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
+ SplitVUint8Test(backends);
+}
+
+TEST_CASE ("SPLIT_V_Fp32_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
+ SplitVFp32Test(backends);
+}
+
+}
+// End of SPLIT_V Test Suite
+
+} // namespace armnnDelegate \ No newline at end of file