diff options
Diffstat (limited to 'src/gpu/cl/operators/ClPool2d.cpp')
-rw-r--r-- | src/gpu/cl/operators/ClPool2d.cpp | 52 |
1 files changed, 2 insertions, 50 deletions
diff --git a/src/gpu/cl/operators/ClPool2d.cpp b/src/gpu/cl/operators/ClPool2d.cpp index fdadd199fc..a5b18a2340 100644 --- a/src/gpu/cl/operators/ClPool2d.cpp +++ b/src/gpu/cl/operators/ClPool2d.cpp @@ -25,7 +25,6 @@ #include "arm_compute/runtime/CL/CLScheduler.h" -#include "src/core/CL/kernels/CLFillBorderKernel.h" #include "src/gpu/cl/ClCompileContext.h" #include "src/gpu/cl/kernels/ClPool2dKernel.h" @@ -40,62 +39,15 @@ void ClPool2d::configure(const ClCompileContext &compile_context, ITensorInfo *s 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); + _kernel = std::move(k); // Tune kernels - CLScheduler::get().tune_kernel_static(*_pooling); + CLScheduler::get().tune_kernel_static(*_kernel); } 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 |