diff options
Diffstat (limited to 'src/runtime/NEON/functions/NEGEMMConv2d.cpp')
| -rw-r--r-- | src/runtime/NEON/functions/NEGEMMConv2d.cpp | 39 |
1 files changed, 23 insertions, 16 deletions
diff --git a/src/runtime/NEON/functions/NEGEMMConv2d.cpp b/src/runtime/NEON/functions/NEGEMMConv2d.cpp index 42b8b70405..6cca02eea9 100644 --- a/src/runtime/NEON/functions/NEGEMMConv2d.cpp +++ b/src/runtime/NEON/functions/NEGEMMConv2d.cpp @@ -25,6 +25,7 @@ #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "arm_compute/runtime/Tensor.h" + #include "src/core/helpers/MemoryHelpers.h" #include "src/cpu/operators/CpuGemmDirectConv2d.h" @@ -35,25 +36,25 @@ using namespace arm_compute::experimental; struct NEGEMMConv2d::Impl { - const ITensor *weights{ nullptr }; - std::unique_ptr<OperatorType> op{ nullptr }; + const ITensor *weights{nullptr}; + std::unique_ptr<OperatorType> op{nullptr}; ITensorPack run_pack{}; ITensorPack prep_pack{}; WorkspaceData<Tensor> workspace{}; MemoryGroup memory_group{}; - bool is_prepared{ false }; + bool is_prepared{false}; experimental::MemoryRequirements aux_mem_req{}; }; -NEGEMMConv2d::NEGEMMConv2d(const std::shared_ptr<IMemoryManager> &memory_manager) - : _impl(std::make_unique<Impl>()) +NEGEMMConv2d::NEGEMMConv2d(const std::shared_ptr<IMemoryManager> &memory_manager) : _impl(std::make_unique<Impl>()) { _impl->memory_group = MemoryGroup(memory_manager); } NEGEMMConv2d::~NEGEMMConv2d() = default; -void NEGEMMConv2d::configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const Conv2dInfo &info) +void NEGEMMConv2d::configure( + ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const Conv2dInfo &info) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); @@ -61,15 +62,21 @@ void NEGEMMConv2d::configure(ITensor *input, const ITensor *weights, const ITens _impl->is_prepared = false; _impl->op = std::make_unique<OperatorType>(); - _impl->op->configure(input->info(), weights->info(), biases != nullptr ? biases->info() : nullptr, output->info(), info); + _impl->op->configure(input->info(), weights->info(), biases != nullptr ? biases->info() : nullptr, output->info(), + info); _impl->aux_mem_req = _impl->op->workspace(); - _impl->run_pack = { { TensorType::ACL_SRC_0, input }, { TensorType::ACL_SRC_2, biases }, { TensorType::ACL_DST, output } }; - _impl->prep_pack = { { TensorType::ACL_SRC_1, weights }, { TensorType::ACL_SRC_2, biases } }; - _impl->workspace = manage_workspace<Tensor>(_impl->op->workspace(), _impl->memory_group, _impl->run_pack, _impl->prep_pack); + _impl->run_pack = {{TensorType::ACL_SRC_0, input}, {TensorType::ACL_SRC_2, biases}, {TensorType::ACL_DST, output}}; + _impl->prep_pack = {{TensorType::ACL_SRC_1, weights}, {TensorType::ACL_SRC_2, biases}}; + _impl->workspace = + manage_workspace<Tensor>(_impl->op->workspace(), _impl->memory_group, _impl->run_pack, _impl->prep_pack); } -Status NEGEMMConv2d::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const Conv2dInfo &info) +Status NEGEMMConv2d::validate(const ITensorInfo *input, + const ITensorInfo *weights, + const ITensorInfo *biases, + const ITensorInfo *output, + const Conv2dInfo &info) { return OperatorType::validate(input, weights, biases, output, info); } @@ -84,15 +91,15 @@ void NEGEMMConv2d::run() void NEGEMMConv2d::prepare() { - if(!_impl->is_prepared) + if (!_impl->is_prepared) { _impl->op->prepare(_impl->prep_pack); - auto has_reshape = std::find_if(_impl->aux_mem_req.begin(), - _impl->aux_mem_req.end(), - [](const MemoryInfo & m) -> bool { return m.lifetime == MemoryLifetime::Persistent; }); + auto has_reshape = + std::find_if(_impl->aux_mem_req.begin(), _impl->aux_mem_req.end(), + [](const MemoryInfo &m) -> bool { return m.lifetime == MemoryLifetime::Persistent; }); - if(has_reshape != std::end(_impl->aux_mem_req)) + if (has_reshape != std::end(_impl->aux_mem_req)) { _impl->weights->mark_as_unused(); } |