1 files changed, 101 insertions, 0 deletions
diff --git a/src/runtime/gpu/cl/operators/ClPooling.cpp b/src/runtime/gpu/cl/operators/ClPooling.cpp
new file mode 100644
index 0000000000..8610eb9842
--- /dev/null
+++ b/src/runtime/gpu/cl/operators/ClPooling.cpp
@@ -0,0 +1,101 @@
+/*
+ * Copyright (c) 2021 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "src/runtime/gpu/cl/operators/ClPooling.h"
+
+#include "arm_compute/runtime/CL/CLScheduler.h"
+
+#include "src/core/CL/kernels/CLFillBorderKernel.h"
+#include "src/core/gpu/cl/ClCompileContext.h"
+#include "src/core/gpu/cl/kernels/ClPoolingKernel.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+void ClPooling::configure(const ClCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst, const PoolingLayerInfo &info, ITensorInfo *indices)
+{
+    ARM_COMPUTE_ERROR_ON_NULLPTR(src);
+    // Configure pooling kernel
+    auto k = std::make_unique<kernels::ClPoolingKernel>();
+    k->set_target(CLScheduler::get().target());
+    k->configure(compile_context, src, dst, info, indices);
+    _pooling = std::move(k);
+
+    const DataType data_type = src->data_type();
+
+    // Configure border depending on operation required (quantize border in case of asymmetric data_type)
+    BorderMode border_mode{};
+    PixelValue pixel_value(0.f);
+    if(is_data_type_quantized_asymmetric(data_type) && !info.exclude_padding)
+    {
+        pixel_value = PixelValue(0, data_type, src->quantization_info());
+    }
+
+    // Data layout
+    const auto data_layout = info.data_layout == DataLayout::UNKNOWN ? src->data_layout() : info.data_layout;
+
+    switch(data_layout)
+    {
+        case DataLayout::NCHW:
+            border_mode = (PoolingType::MAX == info.pool_type) ? BorderMode::REPLICATE : BorderMode::CONSTANT;
+            break;
+        case DataLayout::NHWC:
+            border_mode = BorderMode::CONSTANT;
+            if(PoolingType::MAX == info.pool_type)
+            {
+                if(is_data_type_quantized(data_type))
+                {
+                    std::tie(pixel_value, std::ignore) = get_min_max(data_type);
+                }
+                else
+                {
+                    pixel_value = PixelValue(std::numeric_limits<float>::lowest());
+                }
+            }
+            break;
+        default:
+            ARM_COMPUTE_ERROR("Data layout not supported");
+    }
+    auto b = std::make_unique<CLFillBorderKernel>();
+    b->configure(compile_context, src, _pooling->border_size(), border_mode, pixel_value);
+    _border_handler = std::move(b);
+
+    // Tune kernels
+    CLScheduler::get().tune_kernel_static(*_pooling);
+}
+
+Status ClPooling::validate(const ITensorInfo *src, const ITensorInfo *dst, const PoolingLayerInfo &info, const ITensorInfo *indices)
+{
+    return kernels::ClPoolingKernel::validate(src, dst, info, indices);
+}
+
+void ClPooling::run(ITensorPack &tensors)
+{
+    ARM_COMPUTE_ERROR_ON_MSG(tensors.empty(), "No inputs provided");
+
+    CLScheduler::get().enqueue_op(*_border_handler.get(), tensors, false);
+    CLScheduler::get().enqueue_op(*_pooling.get(), tensors, false);
+}
+} // namespace opencl
+} // namespace arm_compute