IVGCVSW-6399 Remove deprecated code 22.02 (FullyConnected)

 * Remove deprecated INetwork::AddFullyconnectedLayer() taking weights
   as argument as they are now taken as separate input layers.
 * Updated test that was using the deprecated function.
 * Remove calls in pyarmnn

Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: Ibc52ac7fa57afd9033eb226bbc24a09e88a7d361

3 files changed, 1 insertions, 59 deletions

diff --git a/python/pyarmnn/src/pyarmnn/__init__.py b/python/pyarmnn/src/pyarmnn/__init__.py
index 5f95cb0725..b994bb7bb7 100644
--- a/python/pyarmnn/src/pyarmnn/__init__.py
+++ b/python/pyarmnn/src/pyarmnn/__init__.py
@@ -38,7 +38,7 @@ try:
     from ._generated.pyarmnn_deserializer import IDeserializer
 except ImportError as err:
     logger = logging.getLogger(__name__)
-    message = "Your ArmNN library instance does not have an armnn models parser funcionality. "
+    message = "Your ArmNN library instance does not have ArmNN model (.armnn) parser functionality. "
     logger.warning("%s Skipped IDeserializer import.", message)
     logger.debug(str(err))
 
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:
diff --git a/python/pyarmnn/test/test_network.py b/python/pyarmnn/test/test_network.py
index e56621a23b..27ad70be3b 100644
--- a/python/pyarmnn/test/test_network.py
+++ b/python/pyarmnn/test/test_network.py
@@ -249,35 +249,6 @@ def test_serialize_to_dot_mode_readonly(network_file, get_runtime, tmpdir):
 def test_network_method_exists(method):
     assert getattr(ann.INetwork, method, None)
 
-
-def test_fullyconnected_layer_optional_none():
-    net = ann.INetwork()
-    layer = net.AddFullyConnectedLayer(ann.FullyConnectedDescriptor(),
-                                       ann.ConstTensor())
-
-    assert layer
-
-
-def test_fullyconnected_layer_optional_provided():
-    net = ann.INetwork()
-    layer = net.AddFullyConnectedLayer(ann.FullyConnectedDescriptor(),
-                                       ann.ConstTensor(),
-                                       ann.ConstTensor())
-
-    assert layer
-
-
-def test_fullyconnected_layer_all_args():
-    net = ann.INetwork()
-    layer = net.AddFullyConnectedLayer(ann.FullyConnectedDescriptor(),
-                                       ann.ConstTensor(),
-                                       ann.ConstTensor(),
-                                       'NAME1')
-
-    assert layer
-    assert 'NAME1' == layer.GetName()
-
-
 def test_DepthwiseConvolution2d_layer_optional_none():
     net = ann.INetwork()
     layer = net.AddDepthwiseConvolution2dLayer(convolution2dDescriptor=ann.DepthwiseConvolution2dDescriptor(),