diff options
Diffstat (limited to 'python/pyarmnn/src')
| -rw-r--r-- | python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i | 61 |
1 files changed, 38 insertions, 23 deletions
diff --git a/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i b/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i index d50b841f4a..b114edd7c4 100644 --- a/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i +++ b/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i @@ -597,7 +597,7 @@ public: armnn::IConnectableLayer* AddInstanceNormalizationLayer(const armnn::InstanceNormalizationDescriptor& desc, const char* name = nullptr); - %feature("docstring", + %feature("docstring", " Adds a Log Softmax layer to the network. @@ -611,7 +611,7 @@ public: armnn::IConnectableLayer* AddLogSoftmaxLayer(const armnn::LogSoftmaxDescriptor& logSoftmaxDescriptor, const char* name = nullptr); - %feature("docstring", + %feature("docstring", " Adds an L2 Normalization layer to the network. Normalization is performed along dimension 1, but requires a 4d input. @@ -642,7 +642,7 @@ public: const armnn::LstmInputParams& params, const char* name = nullptr); - %feature("docstring", + %feature("docstring", " Add a Maximum layer to the network. @@ -979,6 +979,20 @@ public: ") AddSwitchLayer; armnn::IConnectableLayer* AddSwitchLayer(const char* name = nullptr); + %feature("docstring", + " + Adds a Fully Connected layer to the network. Also known as a Linear or Dense layer. + + Args: + fullyConnectedDescriptor (FullyConnectedDescriptor): Description of the fully connected layer. + name (str): Optional name for the layer. + + Returns: + IConnectableLayer: Interface for configuring the layer. + ") AddFullyConnectedLayer; + armnn::IConnectableLayer* AddFullyConnectedLayer(const armnn::FullyConnectedDescriptor& fullyConnectedDescriptor, + const char* name = nullptr); + }; %extend INetwork { @@ -992,17 +1006,18 @@ public: } %feature("docstring", - " - Adds a Fully Connected layer to the network. Also known as a Linear or Dense layer. + " + Adds a Fully Connected layer to the network with input weights and optional bias. + Also known as a Linear or Dense layer. - Args: - fullyConnectedDescriptor (FullyConnectedDescriptor): Description of the fully connected layer. - weights (ConstTensor): Tensor for the weights data. - biases (ConstTensor): Optional tensor for the bias data. - name (str): Optional name for the layer. + Args: + fullyConnectedDescriptor (FullyConnectedDescriptor): Description of the fully connected layer. + weights (ConstTensor): Tensor for the weights data. + biases (ConstTensor): Optional tensor for the bias data. + name (str): Optional name for the layer. - Returns: - IConnectableLayer: Interface for configuring the layer. + Returns: + IConnectableLayer: Interface for configuring the layer. ") AddFullyConnectedLayer; armnn::IConnectableLayer* AddFullyConnectedLayer(const armnn::FullyConnectedDescriptor& fullyConnectedDescriptor, const armnn::ConstTensor& weights, @@ -1020,22 +1035,22 @@ public: } %feature("docstring", - " - Adds a 2D Transpose Convolution layer to the network. + " + Adds a 2D Transpose Convolution layer to the network. - Args: - descriptor (TransposeConvolution2dDescriptor): Descriptor containing all parameters to configure this layer. - weights (ConstTensor): Tensor for the weights data. - biases (ConstTensor): Optional tensor for the bias data. - name (str): Optional name for the layer. + Args: + descriptor (TransposeConvolution2dDescriptor): Descriptor containing all parameters to configure this layer. + weights (ConstTensor): Tensor for the weights data. + biases (ConstTensor): Optional tensor for the bias data. + name (str): Optional name for the layer. - Returns: - IConnectableLayer: Interface for configuring the layer. - ") AddTransposeConvolution2dLayer; + Returns: + IConnectableLayer: Interface for configuring the layer. + ") AddTransposeConvolution2dLayer; armnn::IConnectableLayer* AddTransposeConvolution2dLayer(const armnn::TransposeConvolution2dDescriptor& descriptor, const armnn::ConstTensor& weights, armnn::ConstTensor* biases = nullptr, - const char* name = nullptr){ + const char* name = nullptr) { if (biases) { return $self->AddTransposeConvolution2dLayer(descriptor, weights, |