IVGCVSW-5744 Remove Tensorflow, Caffe and Quantizer from documentation

* Remove from .md files and Doxygen
* Remove from armnn/docker build
* Remove Tensorflow model format from ExecuteNetworkParams
* Remove Tensorflow model format from ImageTensorGenerator

Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: Id6ed4a7d90366c396e8e0395d0ce43a3bcddcee6

4 files changed, 5 insertions, 17 deletions

diff --git a/tests/ExecuteNetwork/ExecuteNetworkParams.cpp b/tests/ExecuteNetwork/ExecuteNetworkParams.cpp
index 8f1cb0b599..944efec17f 100644
--- a/tests/ExecuteNetwork/ExecuteNetworkParams.cpp
+++ b/tests/ExecuteNetwork/ExecuteNetworkParams.cpp
@@ -49,14 +49,6 @@ void CheckModelFormat(const std::string& modelFormat)
                                               "built with Onnx parser support.");
 #endif
     }
-    else if (modelFormat.find("tensorflow") != std::string::npos)
-    {
-#if defined(ARMNN_TF_PARSER)
-#else
-        throw armnn::InvalidArgumentException("Can't run model in onnx format without a "
-                                              "built with Tensorflow parser support.");
-#endif
-    }
     else if (modelFormat.find("tflite") != std::string::npos)
     {
 #if defined(ARMNN_TF_LITE_PARSER)
@@ -75,7 +67,7 @@ void CheckModelFormat(const std::string& modelFormat)
     else
     {
         throw armnn::InvalidArgumentException(fmt::format("Unknown model format: '{}'. "
-                                                          "Please include 'tensorflow', 'tflite' or 'onnx'",
+                                                          "Please include 'tflite' or 'onnx'",
                                                           modelFormat));
     }
 }
diff --git a/tests/ImageTensorGenerator/ImageTensorGenerator.cpp b/tests/ImageTensorGenerator/ImageTensorGenerator.cpp
index 34dbe1e352..5417eb4055 100644
--- a/tests/ImageTensorGenerator/ImageTensorGenerator.cpp
+++ b/tests/ImageTensorGenerator/ImageTensorGenerator.cpp
@@ -164,7 +164,7 @@ public:
                 ("f,model-format",
                     "Format of the intended model file that uses the images."
                     "Different formats have different image normalization styles."
-                    "Accepted values (tensorflow, tflite)",
+                    "Accepted value (tflite)",
                     cxxopts::value<std::string>(m_ModelFormat))
                 ("o,outfile",
                     "Output raw tensor file path",
@@ -235,11 +235,7 @@ public:
     unsigned int GetNewHeight() {return static_cast<unsigned int>(std::stoi(m_NewHeight));}
     SupportedFrontend GetModelFormat()
     {
-        if (m_ModelFormat == "tensorflow")
-        {
-            return SupportedFrontend::TensorFlow;
-        }
-        else if (m_ModelFormat == "tflite")
+        if (m_ModelFormat == "tflite")
         {
             return SupportedFrontend::TFLite;
         }
diff --git a/tests/ImageTensorGenerator/README.md b/tests/ImageTensorGenerator/README.md
index b6bc3126b4..312fcddc5d 100644
--- a/tests/ImageTensorGenerator/README.md
+++ b/tests/ImageTensorGenerator/README.md
@@ -9,7 +9,7 @@ To build ModelAccuracyTool, pass the following options to Cmake:
 |Cmd:|||
 | ---|---|---|
 | -h | --help         | Display help messages |
-| -f | --model-format | Format of the intended model file that uses the images.Different formats have different image normalization styles.Accepted values (caffe, tensorflow, tflite) |
+| -f | --model-format | Format of the intended model file that uses the images.Different formats have different image normalization styles.Accepted values (tflite) |
 | -i | --infile       | Input image file to generate tensor from |
 | -o | --outfile      | Output raw tensor file path |
 | -z | --output-type  | The data type of the output tensors.If unset, defaults to "float" for all defined inputs. Accepted values (float, int or qasymm8)
diff --git a/tests/ModelAccuracyTool-Armnn/README.md b/tests/ModelAccuracyTool-Armnn/README.md
index 7a29bc8aa5..6383f33096 100644
--- a/tests/ModelAccuracyTool-Armnn/README.md
+++ b/tests/ModelAccuracyTool-Armnn/README.md
@@ -15,7 +15,7 @@ To build ModelAccuracyTool, pass the following options to Cmake:
 | ---|---|---|
 | -h | --help                   | Display help messages |
 | -m | --model-path             | Path to armnn format model file |
-| -f | --model-format           | The model format. Supported values: caffe, tensorflow, tflite |
+| -f | --model-format           | The model format. Supported values: tflite |
 | -i | --input-name             | Identifier of the input tensors in the network separated by comma |
 | -o | --output-name            | Identifier of the output tensors in the network separated by comma |
 | -d | --data-dir               | Path to directory containing the ImageNet test data |