IVGCVSW-5721 Remove the Tensorflow Parser from ArmNN

Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ida37d3ee3a1af0c75aa905199bd861726c646846

2 files changed, 0 insertions, 115 deletions

diff --git a/python/pyarmnn/src/pyarmnn/__init__.py b/python/pyarmnn/src/pyarmnn/__init__.py
index 410e66be11..5cb8bfb6cd 100644
--- a/python/pyarmnn/src/pyarmnn/__init__.py
+++ b/python/pyarmnn/src/pyarmnn/__init__.py
@@ -22,19 +22,6 @@ except ImportError as err:
         raise RuntimeError(message)
 
 try:
-    from ._generated.pyarmnn_tfparser import ITfParser
-except ImportError as err:
-    logger = logging.getLogger(__name__)
-    message = "Your ArmNN library instance does not support TF models parser functionality. "
-    logger.warning("%s Skipped ITfParser import.", message)
-    logger.debug(str(err))
-
-
-    def ITfParser():
-        """In case people try importing without having Arm NN built with this parser."""
-        raise RuntimeError(message)
-
-try:
     from ._generated.pyarmnn_tfliteparser import ITfLiteParser, TfLiteParserOptions
 except ImportError as err:
     logger = logging.getLogger(__name__)
diff --git a/python/pyarmnn/src/pyarmnn/swig/armnn_tfparser.i b/python/pyarmnn/src/pyarmnn/swig/armnn_tfparser.i
deleted file mode 100644
index 03729abbf8..0000000000
--- a/python/pyarmnn/src/pyarmnn/swig/armnn_tfparser.i
+++ /dev/null
@@ -1,102 +0,0 @@
-//
-// Copyright © 2020 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-%module pyarmnn_tfparser
-%{
-#define SWIG_FILE_WITH_INIT
-#include "armnnTfParser/ITfParser.hpp"
-#include "armnn/INetwork.hpp"
-%}
-
-//typemap definitions and other common stuff
-%include "standard_header.i"
-
-namespace std {
-   %template(BindingPointInfo)     pair<int, armnn::TensorInfo>;
-   %template(MapStringTensorShape) map<std::string, armnn::TensorShape>;
-   %template(StringVector)         vector<string>;
-}
-
-namespace armnnTfParser
-{
-%feature("docstring",
-"
-Interface for creating a parser object using TensorFlow (https://www.tensorflow.org/) frozen pb files.
-
-Parsers are used to automatically construct Arm NN graphs from model files.
-
-") ITfParser;
-%nodefaultctor ITfParser;
-class ITfParser
-{
-public:
-    %feature("docstring",
-        "
-        Retrieve binding info (layer id and `TensorInfo`) for the network input identified by the given layer name.
-
-        Args:
-            name (str): Name of the input.
-
-        Returns:
-            tuple: (`int`, `TensorInfo`).
-        ") GetNetworkInputBindingInfo;
-    std::pair<int, armnn::TensorInfo> GetNetworkInputBindingInfo(const std::string& name);
-
-    %feature("docstring",
-        "
-        Retrieve binding info (layer id and `TensorInfo`) for the network output identified by the given layer name.
-
-        Args:
-            name (str): Name of the output.
-
-        Returns:
-            tuple: (`int`, `TensorInfo`).
-        ") GetNetworkOutputBindingInfo;
-    std::pair<int, armnn::TensorInfo> GetNetworkOutputBindingInfo(const std::string& name);
-};
-
-%extend ITfParser {
-    // This is not a substitution of the default constructor of the Armnn class. It tells swig to create custom __init__
-    // method for ITfParser python object that will use static factory method to do the job.
-
-    ITfParser() {
-        return armnnTfParser::ITfParser::CreateRaw();
-    }
-
-    // The following does not replace a real destructor of the Armnn class.
-    // It creates a functions that will be called when swig object goes out of the scope to clean resources.
-    // so the user doesn't need to call ITfParser::Destroy himself.
-    // $self` is a pointer to extracted ArmNN ITfParser object.
-
-    ~ITfParser() {
-        armnnTfParser::ITfParser::Destroy($self);
-    }
-
-    %feature("docstring",
-    "
-    Create the network from a pb Protocol buffer file.
-
-    Args:
-        graphFile (str): Path to the tf model to be parsed.
-        inputShapes (dict): A dict containing the input name as a key and `TensorShape` as a value.
-        requestedOutputs (list of str): A list of the output tensor names.
-
-    Returns:
-        INetwork: Parsed network.
-
-    Raises:
-        RuntimeError: If model file was not found.
-     ") CreateNetworkFromBinaryFile;
-    %newobject CreateNetworkFromBinaryFile;
-    armnn::INetwork* CreateNetworkFromBinaryFile(const char* graphFile,
-                                                 const std::map<std::string, armnn::TensorShape>& inputShapes,
-                                                 const std::vector<std::string>& requestedOutputs) {
-        return $self->CreateNetworkFromBinaryFile(graphFile, inputShapes, requestedOutputs).release();
-    }
-
-}
-
-}
-// Clear exception typemap.
-%exception;