From 245d64c60d0ea30f5080ff53225b5169927e24d6 Mon Sep 17 00:00:00 2001
From: Matthew Bentham <Matthew.Bentham@arm.com>
Date: Mon, 2 Dec 2019 12:59:43 +0000
Subject: Work in progress of python bindings for Arm NN

Not built or tested in any way

Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com>
Change-Id: Ie7f92b529aa5087130f0c5cc8c17db1581373236
---
 python/pyarmnn/src/pyarmnn/swig/armnn_onnxparser.i | 96 ++++++++++++++++++++++
 1 file changed, 96 insertions(+)
 create mode 100644 python/pyarmnn/src/pyarmnn/swig/armnn_onnxparser.i

(limited to 'python/pyarmnn/src/pyarmnn/swig/armnn_onnxparser.i')

diff --git a/python/pyarmnn/src/pyarmnn/swig/armnn_onnxparser.i b/python/pyarmnn/src/pyarmnn/swig/armnn_onnxparser.i
new file mode 100644
index 0000000000..e72a425374
--- /dev/null
+++ b/python/pyarmnn/src/pyarmnn/swig/armnn_onnxparser.i
@@ -0,0 +1,96 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+%module pyarmnn_onnxparser
+%{
+#define SWIG_FILE_WITH_INIT
+#include "armnnOnnxParser/IOnnxParser.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 armnnOnnxParser
+{
+%feature("docstring",
+"
+Interface for creating a parser object using ONNX (https://onnx.ai/) onnx files.
+
+Parsers are used to automatically construct Arm NN graphs from model files.
+
+") IOnnxParser;
+
+%nodefaultctor IOnnxParser;
+class IOnnxParser
+{
+public:
+    %feature("docstring",
+    "
+    Retrieve binding info (layer id and tensor info) for the network input identified by the given layer name.
+
+    Args:
+        name (string): Name of the input node.
+
+    Returns:
+        tuple: (`int`, `TensorInfo`)
+    ") GetNetworkInputBindingInfo;
+    std::pair<int, armnn::TensorInfo> GetNetworkInputBindingInfo(const std::string& name);
+
+    %feature("docstring",
+        "
+        Retrieve binding info (layer id and tensor info) for the network output identified by the given layer name.
+
+        Args:
+            name (string): Name of the output node.
+
+        Returns:
+            tuple: (`int`, `TensorInfo`)
+    ") GetNetworkOutputBindingInfo;
+    std::pair<int, armnn::TensorInfo> GetNetworkOutputBindingInfo(const std::string& name);
+};
+
+%extend IOnnxParser {
+    // This is not a substitution of the default constructor of the Armnn class. It tells swig to create custom __init__
+    // method for IOnnxParser python object that will use static factory method to do the job.
+    IOnnxParser() {
+        return armnnOnnxParser::IOnnxParser::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 IOnnxParser::Destroy himself.
+    // $self` is a pointer to extracted ArmNN IOnnxParser object.
+    ~IOnnxParser() {
+        armnnOnnxParser::IOnnxParser::Destroy($self);
+    }
+
+    %feature("docstring",
+        "
+        Create the network from a binary file on disk.
+
+        Args:
+            graphFile (str): Path to the onnx model to be parsed.
+
+        Returns:
+            INetwork: Parsed network.
+
+        Raises:
+            RuntimeError: If model file was not found.
+     ") CreateNetworkFromBinaryFile;
+    %newobject CreateNetworkFromBinaryFile;
+    armnn::INetwork* CreateNetworkFromBinaryFile(const char* graphFile) {
+        return $self->CreateNetworkFromBinaryFile(graphFile).release();
+    }
+}
+
+}
+// Clear exception typemap.
+%exception;
-- 
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