| Teresa Charlin | a52bca2 | 2024-02-01 17:36:48 +0000 | [diff] [blame^] | 1 | // |
| 2 | // Copyright © 2023-2024 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "UtilsGpuFsa.hpp" |
| 7 | #include "aclCommon/ArmComputeTensorUtils.hpp" |
| 8 | #include "aclCommon/ArmComputeUtils.hpp" |
| 9 | |
| 10 | using namespace armnn; |
| 11 | using namespace armnn::armcomputetensorutils; |
| 12 | using namespace arm_compute::experimental::dynamic_fusion; |
| 13 | |
| 14 | Conv2dAttributes CreateConv2dAttributes(const Convolution2dDescriptor& descriptor) |
| 15 | { |
| 16 | const arm_compute::Padding2D padInfo = BuildArmComputePaddingInfo(descriptor); |
| 17 | const arm_compute::Size2D strideInfo = BuildArmComputeSize2D(descriptor.m_StrideX, descriptor.m_StrideY); |
| 18 | const arm_compute::Size2D dilationInfo = BuildArmComputeSize2D(descriptor.m_DilationX, descriptor.m_DilationY); |
| 19 | |
| 20 | arm_compute::experimental::dynamic_fusion::Conv2dAttributes conv2dAttributes{}; |
| 21 | conv2dAttributes.pad(padInfo); |
| 22 | conv2dAttributes.stride(strideInfo); |
| 23 | conv2dAttributes.dilation(dilationInfo); |
| 24 | |
| 25 | return conv2dAttributes; |
| 26 | } |
| 27 | |
| 28 | arm_compute::experimental::dynamic_fusion::DepthwiseConv2dAttributes |
| 29 | CreateDWConv2dAttributes(const DepthwiseConvolution2dDescriptor& descriptor, const unsigned int aclDepthMultiplier) |
| 30 | { |
| 31 | const arm_compute::Padding2D padInfo = BuildArmComputePaddingInfo(descriptor); |
| 32 | const arm_compute::Size2D strideInfo = BuildArmComputeSize2D(descriptor.m_StrideX, descriptor.m_StrideY); |
| 33 | const arm_compute::Size2D dilationInfo = BuildArmComputeSize2D(descriptor.m_DilationX, descriptor.m_DilationY); |
| 34 | |
| 35 | arm_compute::experimental::dynamic_fusion::DepthwiseConv2dAttributes depthwiseConv2dAttributes{}; |
| 36 | depthwiseConv2dAttributes.pad(padInfo); |
| 37 | depthwiseConv2dAttributes.stride(strideInfo); |
| 38 | depthwiseConv2dAttributes.dilation(dilationInfo); |
| 39 | depthwiseConv2dAttributes.depth_multiplier(aclDepthMultiplier); |
| 40 | |
| 41 | return depthwiseConv2dAttributes; |
| 42 | } |
| 43 | |
| 44 | arm_compute::experimental::dynamic_fusion::Pool2dAttributes |
| 45 | CreatePool2dAttributes(const Pooling2dDescriptor& descriptor) |
| 46 | { |
| 47 | const arm_compute::PoolingType poolType = ConvertPoolingAlgorithmToAclPoolingType(descriptor.m_PoolType); |
| 48 | const arm_compute::Padding2D padding = BuildArmComputePaddingInfo(descriptor); |
| 49 | const arm_compute::Size2D poolSize = BuildArmComputeSize2D(descriptor.m_PoolWidth, descriptor.m_PoolHeight); |
| 50 | const arm_compute::Size2D strides = BuildArmComputeSize2D(descriptor.m_StrideX, descriptor.m_StrideY); |
| 51 | const bool excludePadding = (descriptor.m_PaddingMethod == PaddingMethod::Exclude); |
| 52 | |
| 53 | arm_compute::experimental::dynamic_fusion::Pool2dAttributes pool2dAttributes{}; |
| 54 | pool2dAttributes.pool_type(poolType); |
| 55 | pool2dAttributes.pad(padding); |
| 56 | pool2dAttributes.pool_size(poolSize); |
| 57 | pool2dAttributes.stride(strides); |
| 58 | pool2dAttributes.exclude_padding(excludePadding); |
| 59 | |
| 60 | return pool2dAttributes; |
| 61 | } |