From d93603325ac3f2911ee24f8a98a5a79caf29c0ca Mon Sep 17 00:00:00 2001
From: Teresa Charlin <teresa.charlinreyes@arm.com>
Date: Tue, 30 Aug 2022 14:27:10 +0100
Subject: 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
---
 .../src/pyarmnn/swig/modules/armnn_network.i       | 26 ++--------------------
 1 file changed, 2 insertions(+), 24 deletions(-)

(limited to 'python/pyarmnn/src')

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);
     }
 
 }
-- 
cgit v1.2.1