diff options
Diffstat (limited to 'src/backends/neon/NeonLayerSupport.cpp')
| -rw-r--r-- | src/backends/neon/NeonLayerSupport.cpp | 16 |
1 files changed, 15 insertions, 1 deletions
diff --git a/src/backends/neon/NeonLayerSupport.cpp b/src/backends/neon/NeonLayerSupport.cpp index d50b25377d..cf541f491b 100644 --- a/src/backends/neon/NeonLayerSupport.cpp +++ b/src/backends/neon/NeonLayerSupport.cpp @@ -58,6 +58,7 @@ #include "workloads/NeonPadWorkload.hpp" #include "workloads/NeonPermuteWorkload.hpp" #include "workloads/NeonPooling2dWorkload.hpp" +#include "workloads/NeonPooling3dWorkload.hpp" #include "workloads/NeonPreluWorkload.hpp" #include "workloads/NeonQLstmWorkload.hpp" #include "workloads/NeonQuantizeWorkload.hpp" @@ -435,6 +436,11 @@ bool NeonLayerSupport::IsLayerSupported(const LayerType& type, infos[1], *(PolymorphicDowncast<const Pooling2dDescriptor*>(&descriptor)), reasonIfUnsupported); + case LayerType::Pooling3d: + return IsPooling3dSupported(infos[0], + infos[1], + *(PolymorphicDowncast<const Pooling3dDescriptor*>(&descriptor)), + reasonIfUnsupported); case LayerType::Prelu: return IsPreluSupported(infos[0], infos[1], infos[2], reasonIfUnsupported); case LayerType::QLstm: @@ -578,7 +584,7 @@ bool NeonLayerSupport::IsLayerSupported(const LayerType& type, default: // layers not supported in neon by default: // debug, fakequantization, precompiled, - // standin, switch, pooling3d + // standin, switch return false; } } @@ -1213,6 +1219,14 @@ bool NeonLayerSupport::IsPooling2dSupported(const TensorInfo& input, FORWARD_WORKLOAD_VALIDATE_FUNC(NeonPooling2dWorkloadValidate, reasonIfUnsupported, input, output, descriptor); } +bool NeonLayerSupport::IsPooling3dSupported(const TensorInfo& input, + const TensorInfo& output, + const Pooling3dDescriptor& descriptor, + Optional<std::string&> reasonIfUnsupported) const +{ + FORWARD_WORKLOAD_VALIDATE_FUNC(NeonPooling3dWorkloadValidate, reasonIfUnsupported, input, output, descriptor); +} + bool NeonLayerSupport::IsPreluSupported(const armnn::TensorInfo &input, const armnn::TensorInfo &alpha, const armnn::TensorInfo &output, |