IVGCVSW-7006 Remove deprecated code due to be removed in 22.08

* AddConv and AddDWConv with weights and bias
* ResizeBilinearDescriptor
* b,blacklist option in accuracy tool

!android-nn-driver:8172

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ibbc04fd18be7f938b11590bf67cd7af103cb4d99

2 files changed, 3 insertions, 37 deletions

diff --git a/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i b/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i
index 55b6795c90..f91bccc449 100644
--- a/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i
+++ b/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i
@@ -1179,25 +1179,15 @@ public:
 
         Args:
             convolution2dDescriptor (Convolution2dDescriptor): Description of the 2D convolution layer.
-            weights (ConstTensor): Tensor for the weights data.
-            biases (ConstTensor): Optional tensor for the bias data. If specified, must match the output tensor shape.
             name (str): Optional name for the layer.
 
         Returns:
             IConnectableLayer: Interface for configuring the layer.
         ") AddConvolution2dLayer;
     armnn::IConnectableLayer* AddConvolution2dLayer(const armnn::Convolution2dDescriptor& convolution2dDescriptor,
-                                                    const armnn::ConstTensor& weights,
-                                                    armnn::ConstTensor* biases = nullptr,
                                                     const char* name = nullptr) {
 
-        if (biases) {
-            return $self->AddConvolution2dLayer(convolution2dDescriptor, weights,
-                                                 armnn::Optional<armnn::ConstTensor>(*biases), name);
-        } else {
-            return $self->AddConvolution2dLayer(convolution2dDescriptor, weights,
-                                                 armnn::Optional<armnn::ConstTensor>(), name);
-        }
+        return $self->AddConvolution2dLayer(convolution2dDescriptor, name);
     }
 
     %feature("docstring",
@@ -1206,8 +1196,6 @@ public:
 
         Args:
             convolution2dDescriptor (DepthwiseConvolution2dDescriptor): Description of the 2D depthwise convolution layer.
-            weights (ConstTensor): Tensor for the weights. Expected format: [channelMultiplier, inputChannels, height, width].
-            biases (ConstTensor): Optional tensor for the bias data. If specified, must match the output tensor shape.
             name (str): Optional name for the layer.
 
         Returns:
@@ -1216,19 +1204,9 @@ public:
 
     armnn::IConnectableLayer* AddDepthwiseConvolution2dLayer(
         const armnn::DepthwiseConvolution2dDescriptor& convolution2dDescriptor,
-        const armnn::ConstTensor& weights,
-        const armnn::ConstTensor* biases = nullptr,
         const char* name = nullptr) {
 
-        ARMNN_NO_DEPRECATE_WARN_BEGIN
-        if (biases) {
-            return $self->AddDepthwiseConvolution2dLayer(convolution2dDescriptor, weights,
-                                                 armnn::Optional<armnn::ConstTensor>(*biases), name);
-        } else {
-            return $self->AddDepthwiseConvolution2dLayer(convolution2dDescriptor, weights,
-                                                 armnn::Optional<armnn::ConstTensor>(), name);
-        }
-        ARMNN_NO_DEPRECATE_WARN_END
+        return $self->AddDepthwiseConvolution2dLayer(convolution2dDescriptor, name);
     }
 
 }
diff --git a/python/pyarmnn/test/test_network.py b/python/pyarmnn/test/test_network.py
index ce1dffb86b..88be5a8e7f 100644
--- a/python/pyarmnn/test/test_network.py
+++ b/python/pyarmnn/test/test_network.py
@@ -253,17 +253,7 @@ def test_network_method_exists(method):
 
 def test_Convolution2d_layer_optional_none():
     net = ann.INetwork()
-    layer = net.AddConvolution2dLayer(convolution2dDescriptor=ann.Convolution2dDescriptor(),
-                                      weights=ann.ConstTensor())
-
-    assert layer
-
-
-def test_Convolution2d_layer_optional_provided():
-    net = ann.INetwork()
-    layer = net.AddConvolution2dLayer(convolution2dDescriptor=ann.Convolution2dDescriptor(),
-                                      weights=ann.ConstTensor(),
-                                      biases=ann.ConstTensor())
+    layer = net.AddConvolution2dLayer(convolution2dDescriptor=ann.Convolution2dDescriptor())
 
     assert layer
 
@@ -271,8 +261,6 @@ def test_Convolution2d_layer_optional_provided():
 def test_Convolution2d_layer_all_args():
     net = ann.INetwork()
     layer = net.AddConvolution2dLayer(convolution2dDescriptor=ann.Convolution2dDescriptor(),
-                                      weights=ann.ConstTensor(),
-                                      biases=ann.ConstTensor(),
                                       name='NAME1')
 
     assert layer