1 files changed, 0 insertions, 101 deletions
diff --git a/src/runtime/gpu/cl/operators/ClPool2d.cpp b/src/runtime/gpu/cl/operators/ClPool2d.cpp
deleted file mode 100644
index 40c2b0a8ba..0000000000
--- a/src/runtime/gpu/cl/operators/ClPool2d.cpp
+++ /dev/null
@@ -1,101 +0,0 @@
-/*
- * 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/ClPool2d.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/ClPool2dKernel.h"
-
-namespace arm_compute
-{
-namespace opencl
-{
-void ClPool2d::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::ClPool2dKernel>();
-    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 ClPool2d::validate(const ITensorInfo *src, const ITensorInfo *dst, const PoolingLayerInfo &info, const ITensorInfo *indices)
-{
-    return kernels::ClPool2dKernel::validate(src, dst, info, indices);
-}
-
-void ClPool2d::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