diff options
Diffstat (limited to 'include')
-rw-r--r-- | include/armnn/INetwork.hpp | 48 |
1 files changed, 35 insertions, 13 deletions
diff --git a/include/armnn/INetwork.hpp b/include/armnn/INetwork.hpp index a59000b334..a4dd0da25d 100644 --- a/include/armnn/INetwork.hpp +++ b/include/armnn/INetwork.hpp @@ -104,29 +104,44 @@ public: /// Adds a 2D convolution layer to the network. /// @param convolution2dDescriptor - Description of the 2D convolution layer. /// @param weights - Tensor for the weights data. - /// @param biases - (Optional) Tensor for the bias data. Must match the output tensor shape. + /// @param biases - Optional tensor for the bias data. If specified, must match the output tensor shape. /// @param name - Optional name for the layer. /// @return - Interface for configuring the layer. virtual IConnectableLayer* AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, - const ConstTensor& weights, - const char* name = nullptr) = 0; + const ConstTensor& weights, + const Optional<ConstTensor>& biases, + const char* name = nullptr) = 0; + /// @deprecated virtual IConnectableLayer* AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, - const ConstTensor& weights, - const ConstTensor& biases, - const char* name = nullptr) = 0; + const ConstTensor& weights, + const char* name = nullptr) = 0; + + /// @deprecated + virtual IConnectableLayer* AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor, + const ConstTensor& weights, + const ConstTensor& biases, + const char* name = nullptr) = 0; /// Adds a 2D depthwise convolution layer to the network. /// @param convolution2dDescriptor - Description of the 2D depthwise convolution layer. /// @param weights - Tensor for the weights. Expected format: [channelMultiplier, inputChannels, height, width]. - /// @param biases (Optional) - Tensor for the bias data. Must match the output tensor shape. + /// @param biases Optional tensor for the bias data. If specified, must match the output tensor shape. /// @param name - Optional name for the layer. /// @return - Interface for configuring the layer. virtual IConnectableLayer* AddDepthwiseConvolution2dLayer( const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, const ConstTensor& weights, + const Optional<ConstTensor>& biases, + const char* name = nullptr) = 0; + + /// @deprecated + virtual IConnectableLayer* AddDepthwiseConvolution2dLayer( + const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, + const ConstTensor& weights, const char* name = nullptr) = 0; + /// @deprecated virtual IConnectableLayer* AddDepthwiseConvolution2dLayer( const DepthwiseConvolution2dDescriptor& convolution2dDescriptor, const ConstTensor& weights, @@ -146,17 +161,24 @@ public: /// Adds a fully connected layer to the network. /// @param fullyConnectedDescriptor - Description of the fully connected layer. /// @param weights - Tensor for the weights data. - /// @param biases - (Optional) Tensor for the bias data. + /// @param biases - Optional tensor for the bias data. /// @param name - Optional name for the layer. /// @return - Interface for configuring the layer. virtual IConnectableLayer* AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, - const ConstTensor& weights, - const char* name = nullptr) = 0; + const ConstTensor& weights, + const Optional<ConstTensor>& biases, + const char* name = nullptr) = 0; + /// @deprecated virtual IConnectableLayer* AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, - const ConstTensor& weights, - const ConstTensor& biases, - const char* name = nullptr) = 0; + const ConstTensor& weights, + const char* name = nullptr) = 0; + + /// @deprecated + virtual IConnectableLayer* AddFullyConnectedLayer(const FullyConnectedDescriptor& fullyConnectedDescriptor, + const ConstTensor& weights, + const ConstTensor& biases, + const char* name = nullptr) = 0; /// Adds a permute layer to the network. /// @param permuteDescriptor - PermuteDescriptor to configure the permute. |