diff options
Diffstat (limited to 'src/runtime/CL/functions/CLConcatenateLayer.cpp')
| -rw-r--r-- | src/runtime/CL/functions/CLConcatenateLayer.cpp | 17 |
1 files changed, 8 insertions, 9 deletions
diff --git a/src/runtime/CL/functions/CLConcatenateLayer.cpp b/src/runtime/CL/functions/CLConcatenateLayer.cpp index 54f71f9765..0c473a79c8 100644 --- a/src/runtime/CL/functions/CLConcatenateLayer.cpp +++ b/src/runtime/CL/functions/CLConcatenateLayer.cpp @@ -37,7 +37,6 @@ #include "arm_compute/core/Types.h" #include "src/core/CL/kernels/CLBatchConcatenateLayerKernel.h" #include "src/core/helpers/AutoConfiguration.h" -#include "support/MemorySupport.h" namespace arm_compute { @@ -78,7 +77,7 @@ void CLConcatenation::configure(const CLCompileContext &compile_context, const s case 2: { // Configure WidthConcatenate2Tensors kernel - auto kernel = support::cpp14::make_unique<CLWidthConcatenate2TensorsKernel>(); + auto kernel = std::make_unique<CLWidthConcatenate2TensorsKernel>(); kernel->configure(compile_context, inputs_vector.at(0), inputs_vector.at(1), output); _concat_kernels.emplace_back(std::move(kernel)); break; @@ -86,7 +85,7 @@ void CLConcatenation::configure(const CLCompileContext &compile_context, const s case 4: { // Configure WidthConcatenate4Tensors kernel - auto kernel = support::cpp14::make_unique<CLWidthConcatenate4TensorsKernel>(); + auto kernel = std::make_unique<CLWidthConcatenate4TensorsKernel>(); kernel->configure(compile_context, inputs_vector.at(0), inputs_vector.at(1), inputs_vector.at(2), inputs_vector.at(3), output); _concat_kernels.emplace_back(std::move(kernel)); break; @@ -96,7 +95,7 @@ void CLConcatenation::configure(const CLCompileContext &compile_context, const s // Configure generic case WidthConcatenate kernels for(unsigned int i = 0; i < _num_inputs; ++i) { - auto kernel = support::cpp14::make_unique<CLWidthConcatenateLayerKernel>(); + auto kernel = std::make_unique<CLWidthConcatenateLayerKernel>(); kernel->configure(compile_context, inputs_vector.at(i), offset, output); offset += inputs_vector.at(i)->dimension(_axis); _concat_kernels.emplace_back(std::move(kernel)); @@ -110,7 +109,7 @@ void CLConcatenation::configure(const CLCompileContext &compile_context, const s { for(unsigned int i = 0; i < _num_inputs; ++i) { - auto kernel = support::cpp14::make_unique<CLHeightConcatenateLayerKernel>(); + auto kernel = std::make_unique<CLHeightConcatenateLayerKernel>(); kernel->configure(compile_context, inputs_vector.at(i), offset, output); offset += inputs_vector.at(i)->dimension(_axis); _concat_kernels.emplace_back(std::move(kernel)); @@ -121,7 +120,7 @@ void CLConcatenation::configure(const CLCompileContext &compile_context, const s { for(unsigned int i = 0; i < _num_inputs; ++i) { - auto kernel = support::cpp14::make_unique<CLDepthConcatenateLayerKernel>(); + auto kernel = std::make_unique<CLDepthConcatenateLayerKernel>(); kernel->configure(compile_context, inputs_vector.at(i), offset, output); offset += inputs_vector.at(i)->dimension(_axis); _concat_kernels.emplace_back(std::move(kernel)); @@ -132,7 +131,7 @@ void CLConcatenation::configure(const CLCompileContext &compile_context, const s { for(unsigned int i = 0; i < _num_inputs; ++i) { - auto kernel = support::cpp14::make_unique<CLBatchConcatenateLayerKernel>(); + auto kernel = std::make_unique<CLBatchConcatenateLayerKernel>(); kernel->configure(compile_context, inputs_vector.at(i), offset, output); offset += inputs_vector.at(i)->dimension(_axis); _concat_kernels.emplace_back(std::move(kernel)); @@ -263,7 +262,7 @@ struct CLConcatenateLayer::Impl }; CLConcatenateLayer::CLConcatenateLayer() - : _impl(support::cpp14::make_unique<Impl>()) + : _impl(std::make_unique<Impl>()) { } @@ -286,7 +285,7 @@ void CLConcatenateLayer::configure(const CLCompileContext &compile_context, std: _impl->dst = output; _impl->axis = axis; _impl->num_inputs = inputs_vector.size(); - _impl->op = arm_compute::support::cpp14::make_unique<experimental::CLConcatenation>(); + _impl->op = std::make_unique<experimental::CLConcatenation>(); std::vector<ITensorInfo *> inputs_vector_info; for(unsigned int i = 0; i < inputs_vector.size(); ++i) |