diff options
Diffstat (limited to 'src/runtime/CL/functions/CLDirectConvolutionLayer.cpp')
| -rw-r--r-- | src/runtime/CL/functions/CLDirectConvolutionLayer.cpp | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/src/runtime/CL/functions/CLDirectConvolutionLayer.cpp b/src/runtime/CL/functions/CLDirectConvolutionLayer.cpp index 74867ff64f..907e69d8d7 100644 --- a/src/runtime/CL/functions/CLDirectConvolutionLayer.cpp +++ b/src/runtime/CL/functions/CLDirectConvolutionLayer.cpp @@ -29,17 +29,17 @@ #include "arm_compute/core/Validate.h" #include "arm_compute/runtime/CL/CLScheduler.h" #include "src/runtime/gpu/cl/operators/ClActivation.h" -#include "src/runtime/gpu/cl/operators/ClDirectConvolution.h" +#include "src/runtime/gpu/cl/operators/ClDirectConv2d.h" namespace arm_compute { struct CLDirectConvolutionLayer::Impl { - const ICLTensor *src{ nullptr }; - const ICLTensor *weights{ nullptr }; - const ICLTensor *biases{ nullptr }; - ICLTensor *dst{ nullptr }; - std::unique_ptr<opencl::ClDirectConvolution> op{ nullptr }; + const ICLTensor *src{ nullptr }; + const ICLTensor *weights{ nullptr }; + const ICLTensor *biases{ nullptr }; + ICLTensor *dst{ nullptr }; + std::unique_ptr<opencl::ClDirectConv2d> op{ nullptr }; }; CLDirectConvolutionLayer::CLDirectConvolutionLayer() @@ -65,14 +65,14 @@ void CLDirectConvolutionLayer::configure(const CLCompileContext &compile_context _impl->biases = biases; _impl->dst = output; - _impl->op = std::make_unique<opencl::ClDirectConvolution>(); + _impl->op = std::make_unique<opencl::ClDirectConv2d>(); _impl->op->configure(compile_context, input->info(), weights->info(), (biases != nullptr) ? biases->info() : nullptr, output->info(), conv_info, act_info); } Status CLDirectConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info) { - return opencl::ClDirectConvolution::validate(input, weights, biases, output, conv_info, act_info); + return opencl::ClDirectConv2d::validate(input, weights, biases, output, conv_info, act_info); } void CLDirectConvolutionLayer::run() |