diff options
Diffstat (limited to 'src/runtime/CL/functions/CLConvolutionLayer.cpp')
| -rw-r--r-- | src/runtime/CL/functions/CLConvolutionLayer.cpp | 9 |
1 files changed, 4 insertions, 5 deletions
diff --git a/src/runtime/CL/functions/CLConvolutionLayer.cpp b/src/runtime/CL/functions/CLConvolutionLayer.cpp index e214bdf0f2..edd9298d26 100644 --- a/src/runtime/CL/functions/CLConvolutionLayer.cpp +++ b/src/runtime/CL/functions/CLConvolutionLayer.cpp @@ -29,7 +29,6 @@ #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "arm_compute/core/utils/quantization/AsymmHelpers.h" #include "arm_compute/runtime/CL/CLScheduler.h" -#include "support/MemorySupport.h" #include <cmath> #include <memory> @@ -66,7 +65,7 @@ void CLConvolutionLayer::configure(const CLCompileContext &compile_context, ICLT case ConvolutionMethod::WINOGRAD: { ARM_COMPUTE_ERROR_ON(num_groups != 1); - auto f = arm_compute::support::cpp14::make_unique<CLWinogradConvolutionLayer>(_memory_manager); + auto f = std::make_unique<CLWinogradConvolutionLayer>(_memory_manager); f->configure(compile_context, input, weights, biases, output, conv_info, act_info, enable_fast_math); _function = std::move(f); break; @@ -74,21 +73,21 @@ void CLConvolutionLayer::configure(const CLCompileContext &compile_context, ICLT case ConvolutionMethod::DIRECT: { ARM_COMPUTE_ERROR_ON(num_groups != 1); - auto f = arm_compute::support::cpp14::make_unique<CLDirectConvolutionLayer>(); + auto f = std::make_unique<CLDirectConvolutionLayer>(); f->configure(compile_context, input, weights, biases, output, conv_info, act_info); _function = std::move(f); break; } case ConvolutionMethod::GEMM: { - auto f = arm_compute::support::cpp14::make_unique<CLGEMMConvolutionLayer>(_memory_manager); + auto f = std::make_unique<CLGEMMConvolutionLayer>(_memory_manager); f->configure(compile_context, input, weights, biases, output, conv_info, weights_info, dilation, act_info, num_groups); _function = std::move(f); break; } case ConvolutionMethod::FFT: { - auto f = arm_compute::support::cpp14::make_unique<CLFFTConvolutionLayer>(_memory_manager); + auto f = std::make_unique<CLFFTConvolutionLayer>(_memory_manager); f->configure(compile_context, input, weights, biases, output, conv_info, act_info); _function = std::move(f); break; |