diff options
Diffstat (limited to 'python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i')
| -rw-r--r-- | python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i | 29 |
1 files changed, 0 insertions, 29 deletions
diff --git a/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i b/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i index 643f99f53a..eb8dede260 100644 --- a/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i +++ b/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i @@ -1105,35 +1105,6 @@ public: %feature("docstring", " - 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. - - Returns: - IConnectableLayer: Interface for configuring the layer. - ") AddFullyConnectedLayer; - armnn::IConnectableLayer* AddFullyConnectedLayer(const armnn::FullyConnectedDescriptor& fullyConnectedDescriptor, - const armnn::ConstTensor& weights, - armnn::ConstTensor* biases = nullptr, - const char* name = nullptr) { - ARMNN_NO_DEPRECATE_WARN_BEGIN - if (biases) { - return $self->AddFullyConnectedLayer(fullyConnectedDescriptor, weights, - armnn::Optional<armnn::ConstTensor>(*biases), name); - } else { - return $self->AddFullyConnectedLayer(fullyConnectedDescriptor, weights, - armnn::Optional<armnn::ConstTensor>(), name); - } - ARMNN_NO_DEPRECATE_WARN_END - } - - %feature("docstring", - " Adds a 2D Transpose Convolution layer to the network. Args: |