aboutsummaryrefslogtreecommitdiff
path: root/src/backends/cl/ClLayerSupport.hpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/backends/cl/ClLayerSupport.hpp')
-rw-r--r--src/backends/cl/ClLayerSupport.hpp161
1 files changed, 156 insertions, 5 deletions
diff --git a/src/backends/cl/ClLayerSupport.hpp b/src/backends/cl/ClLayerSupport.hpp
index 5cd756ba1b..75e90e000d 100644
--- a/src/backends/cl/ClLayerSupport.hpp
+++ b/src/backends/cl/ClLayerSupport.hpp
@@ -4,10 +4,6 @@
//
#pragma once
-#include <armnn/DescriptorsFwd.hpp>
-#include <armnn/Optional.hpp>
-#include <armnn/Types.hpp>
-#include <armnn/Tensor.hpp>
#include <armnn/ArmNN.hpp>
namespace armnn
@@ -15,7 +11,162 @@ namespace armnn
class ClLayerSupport : public ILayerSupport
{
- // TODO implement
+public:
+ bool IsActivationSupported(const TensorInfo& input,
+ const TensorInfo& output,
+ const ActivationDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsAdditionSupported(const TensorInfo& input0,
+ const TensorInfo& input1,
+ const TensorInfo& output,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsBatchNormalizationSupported(const TensorInfo& input,
+ const TensorInfo& output,
+ const TensorInfo& mean,
+ const TensorInfo& var,
+ const TensorInfo& beta,
+ const TensorInfo& gamma,
+ const BatchNormalizationDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsConstantSupported(const TensorInfo& output,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsConvertFp16ToFp32Supported(const TensorInfo& input,
+ const TensorInfo& output,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsConvertFp32ToFp16Supported(const TensorInfo& input,
+ const TensorInfo& output,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsConvolution2dSupported(const TensorInfo& input,
+ const TensorInfo& output,
+ const Convolution2dDescriptor& descriptor,
+ const TensorInfo& weights,
+ const Optional<TensorInfo>& biases,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsDepthwiseConvolutionSupported(const TensorInfo& input,
+ const TensorInfo& output,
+ const DepthwiseConvolution2dDescriptor& descriptor,
+ const TensorInfo& weights,
+ const Optional<TensorInfo>& biases,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsDivisionSupported(const TensorInfo& input0,
+ const TensorInfo& input1,
+ const TensorInfo& output,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsFakeQuantizationSupported(const TensorInfo& input,
+ const FakeQuantizationDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsFloorSupported(const TensorInfo& input,
+ const TensorInfo& output,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsFullyConnectedSupported(const TensorInfo& input,
+ const TensorInfo& output,
+ const TensorInfo& weights,
+ const TensorInfo& biases,
+ const FullyConnectedDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsInputSupported(const TensorInfo& input,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsL2NormalizationSupported(const TensorInfo& input,
+ const TensorInfo& output,
+ const L2NormalizationDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsLstmSupported(const TensorInfo& input,
+ const TensorInfo& outputStateIn,
+ const TensorInfo& cellStateIn,
+ const TensorInfo& scratchBuffer,
+ const TensorInfo& outputStateOut,
+ const TensorInfo& cellStateOut,
+ const TensorInfo& output,
+ const LstmDescriptor& descriptor,
+ const TensorInfo& inputToForgetWeights,
+ const TensorInfo& inputToCellWeights,
+ const TensorInfo& inputToOutputWeights,
+ const TensorInfo& recurrentToForgetWeights,
+ const TensorInfo& recurrentToCellWeights,
+ const TensorInfo& recurrentToOutputWeights,
+ const TensorInfo& forgetGateBias,
+ const TensorInfo& cellBias,
+ const TensorInfo& outputGateBias,
+ const TensorInfo* inputToInputWeights,
+ const TensorInfo* recurrentToInputWeights,
+ const TensorInfo* cellToInputWeights,
+ const TensorInfo* inputGateBias,
+ const TensorInfo* projectionWeights,
+ const TensorInfo* projectionBias,
+ const TensorInfo* cellToForgetWeights,
+ const TensorInfo* cellToOutputWeights,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsMeanSupported(const TensorInfo& input,
+ const TensorInfo& output,
+ const MeanDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsMergerSupported(const std::vector<const TensorInfo*> inputs,
+ const OriginsDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsMultiplicationSupported(const TensorInfo& input0,
+ const TensorInfo& input1,
+ const TensorInfo& output,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsNormalizationSupported(const TensorInfo& input,
+ const TensorInfo& output,
+ const NormalizationDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsOutputSupported(const TensorInfo& output,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsPadSupported(const TensorInfo& input,
+ const TensorInfo& output,
+ const PadDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsPermuteSupported(const TensorInfo& input,
+ const TensorInfo& output,
+ const PermuteDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsPooling2dSupported(const TensorInfo& input,
+ const TensorInfo& output,
+ const Pooling2dDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsReshapeSupported(const TensorInfo& input,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsResizeBilinearSupported(const TensorInfo& input,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsSoftmaxSupported(const TensorInfo& input,
+ const TensorInfo& output,
+ const SoftmaxDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsSplitterSupported(const TensorInfo& input,
+ const ViewsDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
+ bool IsSubtractionSupported(const TensorInfo& input0,
+ const TensorInfo& input1,
+ const TensorInfo& output,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
};
bool IsClDirectConvolution2dSupported(const TensorInfo& weightInfo, const Convolution2dDescriptor& desc);