IVGCVSW-7109: Add Batch MatMul front end support - Reference
* Descriptors added for BatchMatMul
* Layer definition added
* Input validation added (will likely change when opt. param support comes in)
* Ref workload implementation for BatchMatMul added (will also change with opt. param support)
* Ref layer tests made for BatchMatMul
* CMake and other build files updated
Signed-off-by: Samuel Yap <samuel.yap@arm.com>
Change-Id: Ic885301da543ee0fbe7922b85e7f9658c4efc617
diff --git a/src/backends/backendsCommon/test/layerTests/BatchMatMulTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/BatchMatMulTestImpl.cpp
new file mode 100644
index 0000000..41add6e
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/BatchMatMulTestImpl.cpp
@@ -0,0 +1,1010 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "BatchMatMulTestImpl.hpp"
+
+#include <armnn/backends/IBackendInternal.hpp>
+#include <armnn/backends/Workload.hpp>
+#include <armnn/backends/WorkloadData.hpp>
+#include <armnn/backends/WorkloadFactory.hpp>
+
+#include <armnnTestUtils/WorkloadTestUtils.hpp>
+#include <armnnUtils/QuantizeHelper.hpp>
+#include <armnnTestUtils/TensorCopyUtils.hpp>
+#include <armnn/Optional.hpp>
+
+
+template<armnn::DataType ArmnnType, typename T, std::size_t NumDims>
+LayerTestResult<T, NumDims> BatchMatMulTestImpl(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory,
+ armnn::BatchMatMulDescriptor descriptor,
+ const std::vector<T>& inputX,
+ const std::vector<T>& inputY,
+ const std::vector<T>& outputExpected,
+ const armnn::TensorInfo& inputXInfo,
+ const armnn::TensorInfo& inputYInfo,
+ const armnn::TensorInfo& outputInfo)
+{
+ std::vector<T> outputActual(outputInfo.GetNumElements());
+
+ std::unique_ptr<armnn::ITensorHandle> inputXHandle = tensorHandleFactory.CreateTensorHandle(inputXInfo);
+ std::unique_ptr<armnn::ITensorHandle> inputYHandle = tensorHandleFactory.CreateTensorHandle(inputYInfo);
+ std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputInfo);
+
+ armnn::BatchMatMulQueueDescriptor queueDescriptor;
+ queueDescriptor.m_Parameters = descriptor;
+ armnn::WorkloadInfo workloadInfo;
+
+ AddInputToWorkload(queueDescriptor, workloadInfo, inputXInfo, inputXHandle.get());
+ AddInputToWorkload(queueDescriptor, workloadInfo, inputYInfo, inputYHandle.get());
+ AddOutputToWorkload(queueDescriptor, workloadInfo, outputInfo, outputHandle.get());
+
+ auto workload = workloadFactory.CreateWorkload(armnn::LayerType::BatchMatMul, queueDescriptor, workloadInfo);
+
+ inputXHandle->Allocate();
+ inputYHandle->Allocate();
+ outputHandle->Allocate();
+
+ CopyDataToITensorHandle(inputXHandle.get(), inputX.data());
+ CopyDataToITensorHandle(inputYHandle.get(), inputY.data());
+
+ workload->PostAllocationConfigure();
+ ExecuteWorkload(*workload, memoryManager);
+
+ CopyDataFromITensorHandle(outputActual.data(), outputHandle.get());
+
+ return LayerTestResult<T, NumDims>(outputActual,
+ outputExpected,
+ outputHandle->GetShape(),
+ outputInfo.GetShape());
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> BatchMatMul2DSimpleTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing
+
+ float qScale = 0.0f;
+ int32_t qOffset = 0;
+
+ switch(ArmnnType)
+ {
+ case armnn::DataType::QAsymmS8:
+ case armnn::DataType::QAsymmU8:
+ case armnn::DataType::QSymmS16:
+ qScale = 1.0f;
+ break;
+ default:
+ break;
+ }
+
+ armnn::TensorInfo inputXInfo({2,2}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo inputYInfo({2,2}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({2,2}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+ 1, 2,
+ 3, 4
+ }, qScale, qOffset);
+
+ std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+ 5, 6,
+ 7, 8
+ }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+ 19, 22,
+ 43, 50
+ }, qScale, qOffset);
+
+ return BatchMatMulTestImpl<ArmnnType, T, 2>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ descriptor,
+ inputX,
+ inputY,
+ outputExpected,
+ inputXInfo,
+ inputYInfo,
+ outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 2>
+BatchMatMul2DSimpleTest<armnn::DataType::BFloat16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+BatchMatMul2DSimpleTest<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 2>
+BatchMatMul2DSimpleTest<armnn::DataType::Float16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 2>
+BatchMatMul2DSimpleTest<armnn::DataType::QAsymmS8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 2>
+BatchMatMul2DSimpleTest<armnn::DataType::QAsymmU8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 2>
+BatchMatMul2DSimpleTest<armnn::DataType::QSymmS16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> BatchMatMul3DSimpleTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing
+
+ float qScale = 0.0f;
+ int32_t qOffset = 0;
+
+ switch(ArmnnType)
+ {
+ case armnn::DataType::QAsymmS8:
+ case armnn::DataType::QAsymmU8:
+ case armnn::DataType::QSymmS16:
+ qScale = 1.0f;
+ break;
+ default:
+ break;
+ }
+
+ armnn::TensorInfo inputXInfo({1,2,2}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo inputYInfo({1,2,2}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({1,2,2}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+ 1, 2,
+ 3, 4
+ }, qScale, qOffset);
+
+ std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+ 5, 6,
+ 7, 8
+ }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+ 19, 22,
+ 43, 50
+ },qScale, qOffset);
+
+ return BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ descriptor,
+ inputX,
+ inputY,
+ outputExpected,
+ inputXInfo,
+ inputYInfo,
+ outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 3>
+BatchMatMul3DSimpleTest<armnn::DataType::BFloat16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+BatchMatMul3DSimpleTest<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3>
+BatchMatMul3DSimpleTest<armnn::DataType::Float16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3>
+BatchMatMul3DSimpleTest<armnn::DataType::QAsymmS8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3>
+BatchMatMul3DSimpleTest<armnn::DataType::QAsymmU8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3>
+BatchMatMul3DSimpleTest<armnn::DataType::QSymmS16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> BatchMatMulNCHWSimpleTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ auto descriptor = armnn::BatchMatMulDescriptor(
+ armnn::Optional<armnn::DataLayout>(armnn::DataLayout::NCHW),
+ armnn::Optional<armnn::DataLayout>(armnn::DataLayout::NCHW));
+
+ float qScale = 0.0f;
+ int32_t qOffset = 0;
+
+ switch(ArmnnType)
+ {
+ case armnn::DataType::QAsymmS8:
+ case armnn::DataType::QAsymmU8:
+ case armnn::DataType::QSymmS16:
+ qScale = 1.0f;
+ break;
+ default:
+ break;
+ }
+
+ armnn::TensorInfo inputXInfo({1,1,2,2}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo inputYInfo({1,1,2,2}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({1,1,2,2}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+ 1, 2,
+ 3, 4
+ }, qScale, qOffset);
+
+ std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+ 5, 6,
+ 7, 8
+ }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+ 19, 22,
+ 43, 50
+ },qScale, qOffset);
+
+ return BatchMatMulTestImpl<ArmnnType, T, 4>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ descriptor,
+ inputX,
+ inputY,
+ outputExpected,
+ inputXInfo,
+ inputYInfo,
+ outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 4>
+BatchMatMulNCHWSimpleTest<armnn::DataType::BFloat16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
+BatchMatMulNCHWSimpleTest<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4>
+BatchMatMulNCHWSimpleTest<armnn::DataType::Float16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4>
+BatchMatMulNCHWSimpleTest<armnn::DataType::QAsymmS8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4>
+BatchMatMulNCHWSimpleTest<armnn::DataType::QAsymmU8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4>
+BatchMatMulNCHWSimpleTest<armnn::DataType::QSymmS16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> BatchMatMulNHWCSimpleTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ auto descriptor = armnn::BatchMatMulDescriptor(
+ armnn::Optional<armnn::DataLayout>(armnn::DataLayout::NHWC),
+ armnn::Optional<armnn::DataLayout>(armnn::DataLayout::NHWC));
+
+ float qScale = 0.0f;
+ int32_t qOffset = 0;
+
+ switch(ArmnnType)
+ {
+ case armnn::DataType::QAsymmS8:
+ case armnn::DataType::QAsymmU8:
+ case armnn::DataType::QSymmS16:
+ qScale = 1.0f;
+ break;
+ default:
+ break;
+ }
+
+ armnn::TensorInfo inputXInfo({1,2,2,1}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo inputYInfo({1,2,2,1}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({1,2,2,1}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+ 1, 2,
+ 3, 4
+ }, qScale, qOffset);
+
+ std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+ 5, 6,
+ 7, 8
+ }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+ 19, 22,
+ 43, 50
+ },qScale, qOffset);
+
+ return BatchMatMulTestImpl<ArmnnType, T, 4>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ descriptor,
+ inputX,
+ inputY,
+ outputExpected,
+ inputXInfo,
+ inputYInfo,
+ outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 4>
+BatchMatMulNHWCSimpleTest<armnn::DataType::BFloat16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
+BatchMatMulNHWCSimpleTest<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4>
+BatchMatMulNHWCSimpleTest<armnn::DataType::Float16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4>
+BatchMatMulNHWCSimpleTest<armnn::DataType::QAsymmS8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4>
+BatchMatMulNHWCSimpleTest<armnn::DataType::QAsymmU8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4>
+BatchMatMulNHWCSimpleTest<armnn::DataType::QSymmS16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> BatchMatMul3DBatchTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing
+
+ float qScale = 0.0f;
+ int32_t qOffset = 0;
+
+ switch(ArmnnType)
+ {
+ case armnn::DataType::QAsymmS8:
+ case armnn::DataType::QAsymmU8:
+ case armnn::DataType::QSymmS16:
+ qScale = 1.0f;
+ break;
+ default:
+ break;
+ }
+
+ armnn::TensorInfo inputXInfo({2,2,2}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo inputYInfo({2,2,2}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({2,2,2}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+ 1, 2,
+ 3, 4,
+
+ 9, 10,
+ 11, 12
+ }, qScale, qOffset);
+
+ std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+ 5, 6,
+ 7, 8,
+
+ 13, 14,
+ 15, 16
+ }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+ 19, 22,
+ 43, 50,
+
+ 267, 286,
+ 323, 346
+ },qScale, qOffset);
+
+ return BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ descriptor,
+ inputX,
+ inputY,
+ outputExpected,
+ inputXInfo,
+ inputYInfo,
+ outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 3>
+BatchMatMul3DBatchTest<armnn::DataType::BFloat16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+BatchMatMul3DBatchTest<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3>
+BatchMatMul3DBatchTest<armnn::DataType::Float16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3>
+BatchMatMul3DBatchTest<armnn::DataType::QAsymmS8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3>
+BatchMatMul3DBatchTest<armnn::DataType::QAsymmU8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3>
+BatchMatMul3DBatchTest<armnn::DataType::QSymmS16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> BatchMatMul3DBroadcastTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing
+
+ float qScale = 0.0f;
+ int32_t qOffset = 0;
+
+ switch(ArmnnType)
+ {
+ case armnn::DataType::QAsymmS8:
+ case armnn::DataType::QAsymmU8:
+ case armnn::DataType::QSymmS16:
+ qScale = 1.0f;
+ break;
+ default:
+ break;
+ }
+
+ armnn::TensorInfo inputXInfo({2,2,2}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo inputYInfo({1,2,2}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({2,2,2}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+ 1, 2,
+ 3, 4,
+
+ 9, 10,
+ 11, 12
+ }, qScale, qOffset);
+
+ std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+ 13, 14,
+ 15, 16
+ }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+ 43, 46,
+ 99, 106,
+
+ 267, 286,
+ 323, 346
+ },qScale, qOffset);
+
+ return BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ descriptor,
+ inputX,
+ inputY,
+ outputExpected,
+ inputXInfo,
+ inputYInfo,
+ outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 3>
+BatchMatMul3DBroadcastTest<armnn::DataType::BFloat16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+BatchMatMul3DBroadcastTest<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3>
+BatchMatMul3DBroadcastTest<armnn::DataType::Float16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3>
+BatchMatMul3DBroadcastTest<armnn::DataType::QAsymmS8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3>
+BatchMatMul3DBroadcastTest<armnn::DataType::QAsymmU8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3>
+BatchMatMul3DBroadcastTest<armnn::DataType::QSymmS16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> BatchMatMul3D2DBroadcastTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing
+
+ float qScale = 0.0f;
+ int32_t qOffset = 0;
+
+ switch(ArmnnType)
+ {
+ case armnn::DataType::QAsymmS8:
+ case armnn::DataType::QAsymmU8:
+ case armnn::DataType::QSymmS16:
+ qScale = 1.0f;
+ break;
+ default:
+ break;
+ }
+
+ armnn::TensorInfo inputXInfo({2,2,2}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo inputYInfo({2,2}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({2,2,2}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+ 1, 2,
+ 3, 4,
+
+ 9, 10,
+ 11, 12
+ }, qScale, qOffset);
+
+ std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+ 13, 14,
+ 15, 16
+ }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+ 43, 46,
+ 99, 106,
+
+ 267, 286,
+ 323, 346
+ },qScale, qOffset);
+
+ return BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ descriptor,
+ inputX,
+ inputY,
+ outputExpected,
+ inputXInfo,
+ inputYInfo,
+ outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 3>
+BatchMatMul3D2DBroadcastTest<armnn::DataType::BFloat16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+BatchMatMul3D2DBroadcastTest<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3>
+BatchMatMul3D2DBroadcastTest<armnn::DataType::Float16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3>
+BatchMatMul3D2DBroadcastTest<armnn::DataType::QAsymmS8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3>
+BatchMatMul3D2DBroadcastTest<armnn::DataType::QAsymmU8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3>
+BatchMatMul3D2DBroadcastTest<armnn::DataType::QSymmS16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 5> BatchMatMulNDHWCNHWCTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ auto descriptor = armnn::BatchMatMulDescriptor(
+ armnn::Optional<armnn::DataLayout>(armnn::DataLayout::NDHWC),
+ armnn::Optional<armnn::DataLayout>(armnn::DataLayout::NHWC));
+
+ float qScale = 0.0f;
+ int32_t qOffset = 0;
+
+ switch(ArmnnType)
+ {
+ case armnn::DataType::QAsymmS8:
+ case armnn::DataType::QAsymmU8:
+ case armnn::DataType::QSymmS16:
+ qScale = 1.0f;
+ break;
+ default:
+ break;
+ }
+
+ armnn::TensorInfo inputXInfo({1,1,2,2,2}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo inputYInfo({1,2,2,2}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({1,1,2,2,2}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+ 1, 20,
+ 3, 22,
+
+ 2, 21,
+ 4, 23
+ }, qScale, qOffset);
+
+ std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+ 5, 24,
+ 7, 26,
+
+ 6, 25,
+ 8, 27
+ }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+ 23, 1030,
+ 31, 1114,
+
+ 34, 1079,
+ 46, 1167
+ },qScale, qOffset);
+
+ return BatchMatMulTestImpl<ArmnnType, T, 5>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ descriptor,
+ inputX,
+ inputY,
+ outputExpected,
+ inputXInfo,
+ inputYInfo,
+ outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 5>
+BatchMatMulNDHWCNHWCTest<armnn::DataType::BFloat16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 5>
+BatchMatMulNDHWCNHWCTest<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 5>
+BatchMatMulNDHWCNHWCTest<armnn::DataType::Float16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 5>
+BatchMatMulNDHWCNHWCTest<armnn::DataType::QAsymmS8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 5>
+BatchMatMulNDHWCNHWCTest<armnn::DataType::QAsymmU8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 5>
+BatchMatMulNDHWCNHWCTest<armnn::DataType::QSymmS16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> BatchMatMul2DTinyTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing
+
+ float qScale = 0.0f;
+ int32_t qOffset = 0;
+
+ switch(ArmnnType)
+ {
+ case armnn::DataType::QAsymmS8:
+ case armnn::DataType::QAsymmU8:
+ case armnn::DataType::QSymmS16:
+ qScale = 1.0f;
+ break;
+ default:
+ break;
+ }
+
+ armnn::TensorInfo inputXInfo({1,1}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo inputYInfo({1,1}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({1,1}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+ 3
+ }, qScale, qOffset);
+
+ std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+ 5
+ }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+ 15
+ }, qScale, qOffset);
+
+ return BatchMatMulTestImpl<ArmnnType, T, 2>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ descriptor,
+ inputX,
+ inputY,
+ outputExpected,
+ inputXInfo,
+ inputYInfo,
+ outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 2>
+BatchMatMul2DTinyTest<armnn::DataType::BFloat16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+BatchMatMul2DTinyTest<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 2>
+BatchMatMul2DTinyTest<armnn::DataType::Float16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 2>
+BatchMatMul2DTinyTest<armnn::DataType::QAsymmS8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 2>
+BatchMatMul2DTinyTest<armnn::DataType::QAsymmU8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 2>
+BatchMatMul2DTinyTest<armnn::DataType::QSymmS16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> BatchMatMul3DNonSquareTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ auto descriptor = armnn::BatchMatMulDescriptor(); // Arbitrary layout with no transpose/adjointing
+
+ float qScale = 0.0f;
+ int32_t qOffset = 0;
+
+ switch(ArmnnType)
+ {
+ case armnn::DataType::QAsymmS8:
+ case armnn::DataType::QAsymmU8:
+ case armnn::DataType::QSymmS16:
+ qScale = 1.0f;
+ break;
+ default:
+ break;
+ }
+
+ armnn::TensorInfo inputXInfo({2,5,3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo inputYInfo({2,3,4}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({2,5,4}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> inputX = armnnUtils::QuantizedVector<T>({
+ 8, 8, 4,
+ 6, 1, 3,
+ 8, 8, 3,
+ 8, 9, 8,
+ 5, 4, 4,
+
+ 1, 8, 5,
+ 7, 1, 1,
+ 8, 7, 9,
+ 3, 2, 7,
+ 8, 5, 3
+ }, qScale, qOffset);
+
+ std::vector<T> inputY = armnnUtils::QuantizedVector<T>({
+ 6, 2, 3, 2,
+ 6, 2, 2, 8,
+ 3, 7, 8, 1,
+
+ 7, 2, 9, 5,
+ 2, 3, 1, 3,
+ 2, 7, 7, 5
+ }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({
+ 108, 60, 72, 84,
+ 51, 35, 44, 23,
+ 105, 53, 64, 83,
+ 126, 90, 106, 96,
+ 66, 46, 55, 46,
+
+ 33, 61, 52, 54,
+ 53, 24, 71, 43,
+ 88, 100, 142, 106,
+ 39, 61, 78, 56,
+ 72, 52, 98, 70
+ },qScale, qOffset);
+
+ return BatchMatMulTestImpl<ArmnnType, T, 3>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ descriptor,
+ inputX,
+ inputY,
+ outputExpected,
+ inputXInfo,
+ inputYInfo,
+ outputInfo);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::BFloat16>, 3>
+BatchMatMul3DNonSquareTest<armnn::DataType::BFloat16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+BatchMatMul3DNonSquareTest<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3>
+BatchMatMul3DNonSquareTest<armnn::DataType::Float16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3>
+BatchMatMul3DNonSquareTest<armnn::DataType::QAsymmS8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3>
+BatchMatMul3DNonSquareTest<armnn::DataType::QAsymmU8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3>
+BatchMatMul3DNonSquareTest<armnn::DataType::QSymmS16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
\ No newline at end of file