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-rw-r--r--src/backends/backendsCommon/test/LayerTests.cpp408
1 files changed, 231 insertions, 177 deletions
diff --git a/src/backends/backendsCommon/test/LayerTests.cpp b/src/backends/backendsCommon/test/LayerTests.cpp
index a6b3b3d5bb..ce02fedb98 100644
--- a/src/backends/backendsCommon/test/LayerTests.cpp
+++ b/src/backends/backendsCommon/test/LayerTests.cpp
@@ -8342,10 +8342,9 @@ LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test1(
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
const unsigned int inputShape[] = {4, 2, 2, 1};
- const unsigned int outputShape[] = {1, 4, 4, 1 };
+ const unsigned int outputShape[] = {1, 4, 4, 1};
- std::vector<float> input
- ({
+ std::vector<float> input({
// Batch 0, Height 0, Width (2) x Channel (1)
1.0f, 3.0f,
// Batch 0, Height 1, Width (2) x Channel (1)
@@ -8369,8 +8368,7 @@ LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test1(
14.0f, 16.0f
});
- std::vector<float> expectedOutput
- ({
+ std::vector<float> expectedOutput({
1.0f, 2.0f, 3.0f, 4.0f,
5.0f, 6.0f, 7.0f, 8.0f,
9.0f, 10.0f, 11.0f, 12.0f,
@@ -8392,13 +8390,12 @@ LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test2(
const unsigned int inputShape[] = {4, 1, 1, 1};
const unsigned int outputShape[] = {1, 2, 2, 1};
- std::vector<float> input
- ({
- // Batch 0, Height 0, Width (2) x Channel (1)
- 1.0f, 2.0f, 3.0f, 4.0f
+ std::vector<float> input({
+ // Batch 0, Height 0, Width (2) x Channel (1)
+ 1.0f, 2.0f, 3.0f, 4.0f
});
- std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f});
+ std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f});
std::vector<unsigned int> blockShape({2, 2});
std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};
@@ -8415,9 +8412,9 @@ LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test3(
const unsigned int inputShape[] = {4, 1, 1, 3};
const unsigned int outputShape[] = {1, 2, 2, 3};
- std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f });
+ std::vector<float> input({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f});
- std::vector<float> expectedOutput({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f });
+ std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f});
std::vector<unsigned int> blockShape({2, 2});
std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};
@@ -8427,6 +8424,39 @@ LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test3(
crops, outputShape, expectedOutput);
}
+LayerTestResult<float, 4> BatchToSpaceNdNhwcFloat32Test4(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int inputShape[] = {8, 1, 3, 1};
+ const unsigned int outputShape[] = {2, 2, 4, 1};
+
+ std::vector<float> input({
+ 0.0f, 1.0f, 3.0f,
+ 0.0f, 9.0f, 11.0f,
+ 0.0f, 2.0f, 4.0f,
+ 0.0f, 10.0f, 12.0f,
+ 0.0f, 5.0f, 7.0f,
+ 0.0f, 13.0f, 15.0f,
+ 0.0f, 6.0f, 8.0f,
+ 0.0f, 14.0f, 16.0f
+ });
+
+ std::vector<float> expectedOutput({
+ 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
+ });
+
+ std::vector<unsigned int> blockShape({2, 2});
+ std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}};
+
+ return BatchToSpaceNdHelper<float, 4, 4>(workloadFactory, memoryManager,
+ armnn::DataLayout::NHWC, inputShape, input, blockShape,
+ crops, outputShape, expectedOutput);
+}
+
LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test1(
armnn::IWorkloadFactory &workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
@@ -8434,21 +8464,20 @@ LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test1(
const unsigned int inputShape[] = {4, 3, 1, 1};
const unsigned int outputShape[] = {1, 3, 2, 2};
- std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f });
+ std::vector<float> input({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f});
- std::vector<float> expectedOutput
- ({
- // Batch 0, Channel 0, Height (2) x Width (2)
- 1.0f, 4.0f,
- 7.0f, 10.0f,
+ std::vector<float> expectedOutput({
+ // Batch 0, Channel 0, Height (2) x Width (2)
+ 1.0f, 4.0f,
+ 7.0f, 10.0f,
- // Batch 0, Channel 1, Height (2) x Width (2)
- 2.0f, 5.0f,
- 8.0f, 11.0f,
+ // Batch 0, Channel 1, Height (2) x Width (2)
+ 2.0f, 5.0f,
+ 8.0f, 11.0f,
- // Batch 0, Channel 2, Height (2) x Width (2)
- 3.0f, 6.0f,
- 9.0f, 12.0f,
+ // Batch 0, Channel 2, Height (2) x Width (2)
+ 3.0f, 6.0f,
+ 9.0f, 12.0f,
});
std::vector<unsigned int> blockShape({2, 2});
@@ -8460,19 +8489,18 @@ LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test1(
}
LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test2(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
const unsigned int inputShape[] = {4, 1, 1, 1};
const unsigned int outputShape[] = {1, 1, 2, 2};
- std::vector<float> input
- ({
- // Batch 0, Height 0, Width (2) x Channel (1)
- 1.0f, 2.0f, 3.0f, 4.0f
- });
+ std::vector<float> input({
+ // Batch 0, Height 0, Width (2) x Channel (1)
+ 1.0f, 2.0f, 3.0f, 4.0f
+ });
- std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f});
+ std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f});
std::vector<unsigned int> blockShape({2, 2});
std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};
@@ -8483,28 +8511,27 @@ LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test2(
}
LayerTestResult<float, 4> BatchToSpaceNdNchwFloat32Test3(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
const unsigned int inputShape[] = {4, 3, 1, 1};
const unsigned int outputShape[] = {1, 3, 2, 2};
- std::vector<float> input({ 1.0f, 3.0f, 5.0f, 7.0f, 9.0f, 11.0f, 2.0f, 4.0f, 6.0f, 8.0f, 10.0f, 12.0f });
+ std::vector<float> input({1.0f, 3.0f, 5.0f, 7.0f, 9.0f, 11.0f, 2.0f, 4.0f, 6.0f, 8.0f, 10.0f, 12.0f});
- std::vector<float> expectedOutput
- ({
- // Batch 0, Channel 0, Height (2) x Width (2)
- 1.0f, 7.0f,
- 2.0f, 8.0f,
+ std::vector<float> expectedOutput({
+ // Batch 0, Channel 0, Height (2) x Width (2)
+ 1.0f, 7.0f,
+ 2.0f, 8.0f,
- // Batch 0, Channel 1, Height (2) x Width (2)
- 3.0f, 9.0f,
- 4.0f, 10.0f,
+ // Batch 0, Channel 1, Height (2) x Width (2)
+ 3.0f, 9.0f,
+ 4.0f, 10.0f,
- // Batch 0, Channel 2, Height (2) x Width (2)
- 5.0f, 11.0f,
- 6.0f, 12.0f,
- });
+ // Batch 0, Channel 2, Height (2) x Width (2)
+ 5.0f, 11.0f,
+ 6.0f, 12.0f,
+ });
std::vector<unsigned int> blockShape({2, 2});
std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};
@@ -8521,8 +8548,8 @@ LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest1(
const unsigned int inputShape[] = {4, 2, 2, 1};
const unsigned int outputShape[] = {1, 4, 4, 1};
- std::vector<uint8_t> input({ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 });
- std::vector<uint8_t> expectedOutput({ 1, 5, 2, 6, 9, 13, 10, 14, 3, 7, 4, 8, 11, 15, 12, 16});
+ std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16});
+ std::vector<uint8_t> expectedOutput({1, 5, 2, 6, 9, 13, 10, 14, 3, 7, 4, 8, 11, 15, 12, 16});
std::vector<unsigned int> blockShape({2, 2});
std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};
@@ -8531,6 +8558,161 @@ LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest1(
input, blockShape, crops, outputShape, expectedOutput);
}
+LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest2(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int inputShape[] = {4, 1, 1, 1};
+ const unsigned int outputShape[] = {1, 2, 2, 1};
+
+ std::vector<uint8_t> input({
+ // Batch 0, Height 0, Width (2) x Channel (1)
+ 1, 2, 3, 4
+ });
+
+ std::vector<uint8_t> expectedOutput({1, 2, 3, 4});
+
+ std::vector<unsigned int> blockShape({2, 2});
+ std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};
+
+ return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager,
+ armnn::DataLayout::NHWC, inputShape, input, blockShape,
+ crops, outputShape, expectedOutput);
+}
+
+LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest3(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int inputShape[] = {4, 1, 1, 3};
+ const unsigned int outputShape[] = {1, 2, 2, 3};
+
+ std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
+
+ std::vector<uint8_t> expectedOutput({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
+
+ std::vector<unsigned int> blockShape({2, 2});
+ std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};
+
+ return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager,
+ armnn::DataLayout::NHWC, inputShape, input, blockShape,
+ crops, outputShape, expectedOutput);
+}
+
+
+LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest1(
+ armnn::IWorkloadFactory &workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int inputShape[] = {4, 3, 1, 1};
+ const unsigned int outputShape[] = {1, 3, 2, 2};
+
+ std::vector<uint8_t> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12});
+
+ std::vector<uint8_t> expectedOutput({
+ // Batch 0, Channel 0, Height (2) x Width (2)
+ 1, 4,
+ 7, 10,
+
+ // Batch 0, Channel 1, Height (2) x Width (2)
+ 2, 5,
+ 8, 11,
+
+ // Batch 0, Channel 2, Height (2) x Width (2)
+ 3, 6,
+ 9, 12,
+ });
+
+ std::vector<unsigned int> blockShape({2, 2});
+ std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};
+
+ return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager,
+ armnn::DataLayout::NCHW, inputShape, input, blockShape,
+ crops, outputShape, expectedOutput);
+}
+
+LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest2(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int inputShape[] = {4, 1, 1, 1};
+ const unsigned int outputShape[] = {1, 1, 2, 2};
+
+ std::vector<uint8_t> input({
+ // Batch 0, Height 0, Width (2) x Channel (1)
+ 1, 2, 3, 4
+ });
+
+ std::vector<uint8_t> expectedOutput({1, 2, 3, 4});
+
+ std::vector<unsigned int> blockShape({2, 2});
+ std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};
+
+ return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager,
+ armnn::DataLayout::NCHW, inputShape, input, blockShape,
+ crops, outputShape, expectedOutput);
+}
+
+LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest3(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int inputShape[] = {4, 3, 1, 1};
+ const unsigned int outputShape[] = {1, 3, 2, 2};
+
+ std::vector<uint8_t> input({1, 3, 5, 7, 9, 11, 2, 4, 6, 8, 10, 12});
+
+ std::vector<uint8_t> expectedOutput({
+ // Batch 0, Channel 0, Height (2) x Width (2)
+ 1, 7,
+ 2, 8,
+
+ // Batch 0, Channel 1, Height (2) x Width (2)
+ 3, 9,
+ 4, 10,
+
+ // Batch 0, Channel 2, Height (2) x Width (2)
+ 5, 11,
+ 6, 12,
+ });
+
+ std::vector<unsigned int> blockShape({2, 2});
+ std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};
+
+ return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager,
+ armnn::DataLayout::NCHW, inputShape, input, blockShape,
+ crops, outputShape, expectedOutput);
+}
+
+LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest4(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ const unsigned int inputShape[] = {8, 1, 1, 3};
+ const unsigned int outputShape[] = {2, 1, 2, 4};
+
+ std::vector<uint8_t> input({
+ 0, 1, 3, 0, 9, 11,
+ 0, 2, 4, 0, 10, 12,
+ 0, 5, 7, 0, 13, 15,
+ 0, 6, 8, 0, 14, 16
+ });
+
+ std::vector<uint8_t> expectedOutput({
+ 1, 2, 3, 4,
+ 5, 6, 7, 8,
+ 9, 10, 11, 12,
+ 13, 14, 15, 16
+ });
+
+ std::vector<unsigned int> blockShape({2, 2});
+ std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}};
+
+ return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager,
+ armnn::DataLayout::NCHW, inputShape, input, blockShape,
+ crops, outputShape, expectedOutput);
+}
+
LayerTestResult<float, 4> StridedSlice4DFloat32Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
@@ -8656,134 +8838,6 @@ LayerTestResult<uint8_t, 2> StridedSlice2DReverseUint8Test(
{
return StridedSlice2DReverseTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager);
}
-LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest2(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int inputShape[] = {4, 1, 1, 1};
- const unsigned int outputShape[] = {1, 2, 2, 1};
-
- std::vector<uint8_t> input
- ({
- // Batch 0, Height 0, Width (2) x Channel (1)
- 1, 2, 3, 4
- });
-
- std::vector<uint8_t> expectedOutput({1, 2, 3, 4});
-
- std::vector<unsigned int> blockShape({2, 2});
- std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};
-
- return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager,
- armnn::DataLayout::NHWC, inputShape, input, blockShape,
- crops, outputShape, expectedOutput);
-}
-
-LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest3(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int inputShape[] = {4, 1, 1, 3};
- const unsigned int outputShape[] = {1, 2, 2, 3};
-
- std::vector<uint8_t> input({ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 });
-
- std::vector<uint8_t> expectedOutput({ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 });
-
- std::vector<unsigned int> blockShape({2, 2});
- std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};
-
- return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager,
- armnn::DataLayout::NHWC, inputShape, input, blockShape,
- crops, outputShape, expectedOutput);
-}
-
-
-LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest1(
- armnn::IWorkloadFactory &workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int inputShape[] = {4, 3, 1, 1};
- const unsigned int outputShape[] = {1, 3, 2, 2};
-
- std::vector<uint8_t> input({ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 });
-
- std::vector<uint8_t> expectedOutput
- ({
- // Batch 0, Channel 0, Height (2) x Width (2)
- 1, 4,
- 7, 10,
-
- // Batch 0, Channel 1, Height (2) x Width (2)
- 2, 5,
- 8, 11,
-
- // Batch 0, Channel 2, Height (2) x Width (2)
- 3, 6,
- 9, 12,
- });
-
- std::vector<unsigned int> blockShape({2, 2});
- std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};
-
- return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager,
- armnn::DataLayout::NCHW, inputShape, input, blockShape,
- crops, outputShape, expectedOutput);
-}
-
-LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest2(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int inputShape[] = {4, 1, 1, 1};
- const unsigned int outputShape[] = {1, 1, 2, 2};
-
- std::vector<uint8_t> input
- ({
- // Batch 0, Height 0, Width (2) x Channel (1)
- 1, 2, 3, 4
- });
-
- std::vector<uint8_t> expectedOutput({1, 2, 3, 4});
-
- std::vector<unsigned int> blockShape({2, 2});
- std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};
-
- return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager,
- armnn::DataLayout::NCHW, inputShape, input, blockShape,
- crops, outputShape, expectedOutput);
-}
-
-LayerTestResult<uint8_t, 4> BatchToSpaceNdNchwUintTest3(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int inputShape[] = {4, 3, 1, 1};
- const unsigned int outputShape[] = {1, 3, 2, 2};
-
- std::vector<uint8_t> input({ 1, 3, 5, 7, 9, 11, 2, 4, 6, 8, 10, 12 });
-
- std::vector<uint8_t> expectedOutput
- ({
- // Batch 0, Channel 0, Height (2) x Width (2)
- 1, 7,
- 2, 8,
-
- // Batch 0, Channel 1, Height (2) x Width (2)
- 3, 9,
- 4, 10,
-
- // Batch 0, Channel 2, Height (2) x Width (2)
- 5, 11,
- 6, 12,
- });
- std::vector<unsigned int> blockShape({2, 2});
- std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};
-
- return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager,
- armnn::DataLayout::NCHW, inputShape, input, blockShape,
- crops, outputShape, expectedOutput);
-}
LayerTestResult<float, 4> Debug4DFloat32Test(
armnn::IWorkloadFactory& workloadFactory,
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-16 09:00:28 +0000