1 files changed, 51 insertions, 0 deletions
diff --git a/libs/ARMComputeEx/src/runtime/CL/functions/CLReductionMean.cpp b/libs/ARMComputeEx/src/runtime/CL/functions/CLReductionMean.cpp
new file mode 100644
index 000000000..ab724e752
--- /dev/null
+++ b/libs/ARMComputeEx/src/runtime/CL/functions/CLReductionMean.cpp
@@ -0,0 +1,51 @@
+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright (c) 2017-2018 ARM Limited.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+#include "arm_compute/runtime/CL/functions/CLReductionMean.h"
+
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/CL/kernels/CLReductionMeanKernel.h"
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/PixelValue.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/runtime/CL/CLScheduler.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "support/ToolchainSupport.h"
+
+using namespace arm_compute;
+
+CLReductionMean::CLReductionMean() : _reduction_mean_kernel(), _fill_border_kernel() {}
+
+Status CLReductionMean::validate(const ITensorInfo *input, const ITensorInfo *output,
+                                 std::vector<uint32_t> axis)
+{
+  ARM_COMPUTE_RETURN_ON_ERROR(CLReductionMeanKernel::validate(input, output, axis));
+  return Status{};
+}
+
+void CLReductionMean::configure(ICLTensor *input, ICLTensor *output, std::vector<uint32_t> axis)
+{
+  _reduction_mean_kernel.configure(input, output, axis);
+  _fill_border_kernel.configure(input, _reduction_mean_kernel.border_size(), BorderMode::CONSTANT,
+                                PixelValue(0));
+}
+
+void CLReductionMean::run()
+{
+  CLScheduler::get().enqueue(_fill_border_kernel);
+  CLScheduler::get().enqueue(_reduction_mean_kernel);
+}