| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // See LICENSE file in the project root for full license information. |
| // |
| |
| #include "ClDepthwiseConvolutionBaseWorkload.hpp" |
| |
| #include "TypeUtils.hpp" |
| |
| #include "backends/ArmComputeUtils.hpp" |
| #include "backends/ArmComputeTensorUtils.hpp" |
| #include "backends/ClTensorHandle.hpp" |
| #include "backends/CpuTensorHandle.hpp" |
| |
| namespace armnn |
| { |
| |
| using namespace armcomputetensorutils; |
| |
| arm_compute::Status ClDepthwiseConvolutionWorkloadValidate(const TensorInfo& input, |
| const TensorInfo& output, |
| const DepthwiseConvolution2dDescriptor& descriptor, |
| const TensorInfo& weights, |
| const TensorInfo& biases) |
| { |
| const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input); |
| const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output); |
| const arm_compute::TensorInfo aclWeightsInfo = BuildArmComputeTensorInfo(weights); |
| |
| arm_compute::TensorInfo aclBiasesInfo; |
| arm_compute::TensorInfo *optionalAclBiasesInfo = nullptr; |
| if (descriptor.m_BiasEnabled) |
| { |
| aclBiasesInfo = BuildArmComputeTensorInfo(biases); |
| optionalAclBiasesInfo = &aclBiasesInfo; |
| } |
| |
| const arm_compute::PadStrideInfo aclPadStrideInfo = BuildArmComputePadStrideInfo(descriptor); |
| const unsigned int aclDepthMultiplier = weights.GetShape()[0]; |
| |
| return arm_compute::CLDepthwiseConvolutionLayer::validate(&aclInputInfo, |
| &aclWeightsInfo, |
| optionalAclBiasesInfo, |
| &aclOutputInfo, |
| aclPadStrideInfo, |
| aclDepthMultiplier); |
| } |
| |
| template<armnn::DataType... dataTypes> |
| ClDepthwiseConvolutionBaseWorkload<dataTypes...>::ClDepthwiseConvolutionBaseWorkload( |
| const DepthwiseConvolution2dQueueDescriptor& descriptor, |
| const WorkloadInfo& info) |
| : TypedWorkload<DepthwiseConvolution2dQueueDescriptor, dataTypes...>(descriptor, info) |
| { |
| auto& weightInfo = m_Data.m_Weight->GetTensorInfo(); |
| |
| m_KernelTensor = std::make_unique<arm_compute::CLTensor>(); |
| BuildArmComputeTensor(*m_KernelTensor, weightInfo); |
| |
| if (m_Data.m_Parameters.m_BiasEnabled) |
| { |
| m_BiasTensor = std::make_unique<arm_compute::CLTensor>(); |
| BuildArmComputeTensor(*m_BiasTensor, m_Data.m_Bias->GetTensorInfo()); |
| } |
| |
| arm_compute::PadStrideInfo padStrideInfo(m_Data.m_Parameters.m_StrideX, |
| m_Data.m_Parameters.m_StrideY, |
| m_Data.m_Parameters.m_PadLeft, |
| m_Data.m_Parameters.m_PadRight, |
| m_Data.m_Parameters.m_PadTop, |
| m_Data.m_Parameters.m_PadBottom, |
| arm_compute::DimensionRoundingType::FLOOR); |
| |
| std::string name = std::string("ClDepthwiseConvolution") + |
| GetDataTypeName(m_Data.m_Weight->GetTensorInfo().GetDataType()) + "Workload"; |
| m_Data.ValidateInputsOutputs(name, 1, 1); |
| |
| arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| |
| const unsigned int depthMultiplier = weightInfo.GetShape()[0]; |
| |
| //Check for optimisation opportunities. |
| bool use3x3Optimisation = (weightInfo.GetShape()[3] == 3) && (weightInfo.GetShape()[2] == 3); |
| if (use3x3Optimisation) |
| { |
| m_DepthwiseConvolutionLayer = std::make_unique<arm_compute::CLDepthwiseConvolutionLayer3x3>(); |
| static_cast<arm_compute::CLDepthwiseConvolutionLayer3x3*>(m_DepthwiseConvolutionLayer.get())->configure( |
| &input, |
| m_KernelTensor.get(), |
| m_BiasTensor.get(), |
| &output, |
| padStrideInfo, |
| depthMultiplier); |
| } |
| else |
| { |
| m_DepthwiseConvolutionLayer = std::make_unique<arm_compute::CLDepthwiseConvolutionLayer>(); |
| static_cast<arm_compute::CLDepthwiseConvolutionLayer*>(m_DepthwiseConvolutionLayer.get())->configure( |
| &input, |
| m_KernelTensor.get(), |
| m_BiasTensor.get(), |
| &output, |
| padStrideInfo, |
| depthMultiplier); |
| } |
| |
| BOOST_ASSERT(m_DepthwiseConvolutionLayer); |
| } |
| |
| template<armnn::DataType... dataTypes> |
| void ClDepthwiseConvolutionBaseWorkload<dataTypes...>::FreeUnusedTensors() |
| { |
| FreeTensorIfUnused(m_KernelTensor); |
| FreeTensorIfUnused(m_BiasTensor); |
| } |
| |
| // Generate known implementations for linker |
| template class ClDepthwiseConvolutionBaseWorkload<DataType::Float16, DataType::Float32>; |
| template class ClDepthwiseConvolutionBaseWorkload<DataType::QuantisedAsymm8>; |
| |
| } // namespace armnn |