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Diffstat (limited to 'src/runtime/CL/functions/CLPReluLayer.cpp')
-rw-r--r--src/runtime/CL/functions/CLPReluLayer.cpp60
1 files changed, 21 insertions, 39 deletions
diff --git a/src/runtime/CL/functions/CLPReluLayer.cpp b/src/runtime/CL/functions/CLPReluLayer.cpp
index 60cf4d1a2d..ce6d285ebe 100644
--- a/src/runtime/CL/functions/CLPReluLayer.cpp
+++ b/src/runtime/CL/functions/CLPReluLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -21,52 +21,30 @@
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
-#include "src/core/CL/kernels/CLElementwiseOperationKernel.h"
-
-#include "arm_compute/core/CL/ICLTensor.h"
-#include "arm_compute/runtime/CL/CLScheduler.h"
#include "arm_compute/runtime/CL/functions/CLPReluLayer.h"
-#include "support/MemorySupport.h"
-
-namespace arm_compute
-{
-namespace experimental
-{
-CLPReluLayer::CLPReluLayer()
-{
-}
-void CLPReluLayer::configure(const CLCompileContext &compile_context, ITensorInfo *input, ITensorInfo *alpha, ITensorInfo *output)
-{
- auto k = arm_compute::support::cpp14::make_unique<CLArithmeticOperationKernel>();
- k->configure(compile_context, ArithmeticOperation::PRELU, input, alpha, output);
- _kernel = std::move(k);
-}
+#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/ICLTensor.h"
-Status CLPReluLayer::validate(const ITensorInfo *input, const ITensorInfo *alpha, const ITensorInfo *output)
-{
- return CLArithmeticOperationKernel::validate(ArithmeticOperation::PRELU, input, alpha, output);
-}
+#include "src/gpu/cl/IClKernel.h"
+#include "src/gpu/cl/operators/ClPRelu.h"
-void CLPReluLayer::run(ITensorPack &tensors)
+namespace arm_compute
{
- ICLOperator::run(tensors);
-}
-} // namespace experimental
+using OperatorType = opencl::ClPRelu;
struct CLPReluLayer::Impl
{
- const ICLTensor *src_0{ nullptr };
- const ICLTensor *src_1{ nullptr };
- ICLTensor *dst{ nullptr };
- std::unique_ptr<experimental::CLPReluLayer> op{ nullptr };
+ const ICLTensor *src_0{nullptr};
+ const ICLTensor *src_1{nullptr};
+ ICLTensor *dst{nullptr};
+ std::unique_ptr<OperatorType> op{nullptr};
};
-CLPReluLayer::CLPReluLayer()
- : _impl(support::cpp14::make_unique<Impl>())
+CLPReluLayer::CLPReluLayer() : _impl(std::make_unique<Impl>())
{
}
-CLPReluLayer::CLPReluLayer(CLPReluLayer &&) = default;
+CLPReluLayer::CLPReluLayer(CLPReluLayer &&) = default;
CLPReluLayer &CLPReluLayer::operator=(CLPReluLayer &&) = default;
CLPReluLayer::~CLPReluLayer() = default;
@@ -75,18 +53,22 @@ void CLPReluLayer::configure(ICLTensor *input, ICLTensor *alpha, ICLTensor *outp
configure(CLKernelLibrary::get().get_compile_context(), input, alpha, output);
}
-void CLPReluLayer::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *alpha, ICLTensor *output)
+void CLPReluLayer::configure(const CLCompileContext &compile_context,
+ ICLTensor *input,
+ ICLTensor *alpha,
+ ICLTensor *output)
{
_impl->src_0 = input;
_impl->src_1 = alpha;
_impl->dst = output;
- _impl->op = arm_compute::support::cpp14::make_unique<experimental::CLPReluLayer>();
- _impl->op->configure(compile_context, input->info(), alpha->info(), output->info());
+ _impl->op = std::make_unique<OperatorType>();
+ _impl->op->configure(compile_context, input->info(), alpha->info(),
+ (output == nullptr ? input->info() : output->info()));
}
Status CLPReluLayer::validate(const ITensorInfo *input, const ITensorInfo *alpha, const ITensorInfo *output)
{
- return experimental::CLPReluLayer::validate(input, alpha, output);
+ return OperatorType::validate(input, alpha, output);
}
void CLPReluLayer::run()