From ab23dd0fbc632063235a6ad408241dc79a35d3e4 Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Mon, 6 Jul 2020 14:57:36 +0100 Subject: COMPMID-3387: Support memory injection in CLActivationLayer Signed-off-by: Georgios Pinitas Change-Id: I31f9620607b372fc3340c71e748a5ea177d9da62 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3520 Reviewed-by: Michele Di Giorgio Comments-Addressed: Arm Jenkins Tested-by: Arm Jenkins --- src/runtime/CL/functions/CLActivationLayer.cpp | 58 +++++++++++++++++++++++--- 1 file changed, 53 insertions(+), 5 deletions(-) (limited to 'src/runtime/CL/functions/CLActivationLayer.cpp') diff --git a/src/runtime/CL/functions/CLActivationLayer.cpp b/src/runtime/CL/functions/CLActivationLayer.cpp index 989603a9df..d6b80200cd 100644 --- a/src/runtime/CL/functions/CLActivationLayer.cpp +++ b/src/runtime/CL/functions/CLActivationLayer.cpp @@ -23,6 +23,7 @@ */ #include "arm_compute/runtime/CL/functions/CLActivationLayer.h" +#include "arm_compute/core/CL/ICLTensor.h" #include "arm_compute/core/CL/kernels/CLActivationLayerKernel.h" #include "arm_compute/core/Types.h" #include "arm_compute/runtime/CL/CLRuntimeContext.h" @@ -30,11 +31,46 @@ namespace arm_compute { +namespace experimental +{ +void CLActivationLayer::configure(const CLCompileContext &compile_context, ITensorInfo *input, ITensorInfo *output, ActivationLayerInfo act_info) +{ + auto k = arm_compute::support::cpp14::make_unique(); + k->configure(compile_context, input, output, act_info); + _kernel = std::move(k); +} + +Status CLActivationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info) +{ + return CLActivationLayerKernel::validate(input, output, act_info); +} + +MemoryRequirements CLActivationLayer::workspace() const +{ + return MemoryRequirements{}; +} +} // namespace experimental + +struct CLActivationLayer::Impl +{ + const ICLTensor *src{ nullptr }; + ICLTensor *dst{ nullptr }; + CLRuntimeContext *ctx{ nullptr }; + std::unique_ptr op{ nullptr }; +}; + CLActivationLayer::CLActivationLayer(CLRuntimeContext *ctx) - : ICLSimpleFunction(ctx) + : _impl(support::cpp14::make_unique()) { + _impl->ctx = ctx; } +CLActivationLayer::CLActivationLayer(CLActivationLayer &&) = default; + +CLActivationLayer &CLActivationLayer::operator=(CLActivationLayer &&) = default; + +CLActivationLayer::~CLActivationLayer() = default; + void CLActivationLayer::configure(ICLTensor *input, ICLTensor *output, ActivationLayerInfo act_info) { configure(CLKernelLibrary::get().get_compile_context(), input, output, act_info); @@ -42,13 +78,25 @@ void CLActivationLayer::configure(ICLTensor *input, ICLTensor *output, Activatio void CLActivationLayer::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, ActivationLayerInfo act_info) { - auto k = arm_compute::support::cpp14::make_unique(); - k->configure(compile_context, input, output, act_info); - _kernel = std::move(k); + ARM_COMPUTE_ERROR_ON_NULLPTR(input); + + _impl->src = input; + _impl->dst = output == nullptr ? input : output; + + _impl->op = arm_compute::support::cpp14::make_unique(); + _impl->op->configure(compile_context, _impl->src->info(), _impl->dst->info(), act_info); } Status CLActivationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info) { - return CLActivationLayerKernel::validate(input, output, act_info); + return experimental::CLActivationLayer::validate(input, output, act_info); +} + +void CLActivationLayer::run() +{ + const InputTensorMap src{ { TensorType::ACL_SRC, _impl->src } }; + const OutputTensorMap dst{ { TensorType::ACL_DST, _impl->dst } }; + + _impl->op->run(src, dst, {}); } } // namespace arm_compute -- cgit v1.2.1