diff options
Diffstat (limited to 'src/runtime/CL/functions/CLIndirectConvolutionLayer.cpp')
-rw-r--r-- | src/runtime/CL/functions/CLIndirectConvolutionLayer.cpp | 44 |
1 files changed, 29 insertions, 15 deletions
diff --git a/src/runtime/CL/functions/CLIndirectConvolutionLayer.cpp b/src/runtime/CL/functions/CLIndirectConvolutionLayer.cpp index 90af36aa77..1a2369c5c2 100644 --- a/src/runtime/CL/functions/CLIndirectConvolutionLayer.cpp +++ b/src/runtime/CL/functions/CLIndirectConvolutionLayer.cpp @@ -26,36 +26,45 @@ #include "arm_compute/core/CL/ICLTensor.h" #include "arm_compute/core/Utils.h" #include "arm_compute/core/Validate.h" -#include "src/gpu/cl/operators/ClIndirectConv2d.h" #include "src/common/utils/Log.h" +#include "src/gpu/cl/operators/ClIndirectConv2d.h" namespace arm_compute { struct CLIndirectConvolutionLayer::Impl { - const ICLTensor *src{ nullptr }; - const ICLTensor *weights{ nullptr }; - const ICLTensor *biases{ nullptr }; - ICLTensor *dst{ nullptr }; - std::unique_ptr<opencl::ClIndirectConv2d> op{ nullptr }; + const ICLTensor *src{nullptr}; + const ICLTensor *weights{nullptr}; + const ICLTensor *biases{nullptr}; + ICLTensor *dst{nullptr}; + std::unique_ptr<opencl::ClIndirectConv2d> op{nullptr}; }; -CLIndirectConvolutionLayer::CLIndirectConvolutionLayer() - : _impl(std::make_unique<Impl>()) +CLIndirectConvolutionLayer::CLIndirectConvolutionLayer() : _impl(std::make_unique<Impl>()) { } -CLIndirectConvolutionLayer::CLIndirectConvolutionLayer(CLIndirectConvolutionLayer &&) = default; +CLIndirectConvolutionLayer::CLIndirectConvolutionLayer(CLIndirectConvolutionLayer &&) = default; CLIndirectConvolutionLayer &CLIndirectConvolutionLayer::operator=(CLIndirectConvolutionLayer &&) = default; CLIndirectConvolutionLayer::~CLIndirectConvolutionLayer() = default; -void CLIndirectConvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info) +void CLIndirectConvolutionLayer::configure(ICLTensor *input, + const ICLTensor *weights, + const ICLTensor *biases, + ICLTensor *output, + const PadStrideInfo &conv_info, + const ActivationLayerInfo &act_info) { configure(CLKernelLibrary::get().get_compile_context(), input, weights, biases, output, conv_info, act_info); } -void CLIndirectConvolutionLayer::configure(const CLCompileContext &compile_context, ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, - const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info) +void CLIndirectConvolutionLayer::configure(const CLCompileContext &compile_context, + ICLTensor *input, + const ICLTensor *weights, + const ICLTensor *biases, + ICLTensor *output, + const PadStrideInfo &conv_info, + const ActivationLayerInfo &act_info) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); ARM_COMPUTE_LOG_PARAMS(input, weights, biases, output, conv_info, act_info); @@ -65,10 +74,15 @@ void CLIndirectConvolutionLayer::configure(const CLCompileContext &compile_conte _impl->biases = biases; _impl->dst = output; _impl->op = std::make_unique<opencl::ClIndirectConv2d>(); - _impl->op->configure(compile_context, input->info(), weights->info(), (biases != nullptr) ? biases->info() : nullptr, output->info(), conv_info, act_info); + _impl->op->configure(compile_context, input->info(), weights->info(), + (biases != nullptr) ? biases->info() : nullptr, output->info(), conv_info, act_info); } -Status CLIndirectConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, +Status CLIndirectConvolutionLayer::validate(const ITensorInfo *input, + const ITensorInfo *weights, + const ITensorInfo *biases, + const ITensorInfo *output, + const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info) { return opencl::ClIndirectConv2d::validate(input, weights, biases, output, conv_info, act_info); @@ -83,4 +97,4 @@ void CLIndirectConvolutionLayer::run() pack.add_tensor(TensorType::ACL_DST, _impl->dst); _impl->op->run(pack); } -} +} // namespace arm_compute |