Usage of the GCC backend_utils

The GCC backend_utils provide a set of commonly needed functions for the GCC backend. Although those functionality was created for the use in the GCC backend, it can also be used in other backends using a similiar structure as the GCC backend.
The range of functions reaches from simple IO Tasks to specific information contained in the intermediate format.

The parameter input in the table below references always to a valid network model in the intermediate format.

Currently available functions

Method name	Parameters	Functionality
replace_markers	file, markers	Replaces all given markes in the given file with their respective value.
read_marker_file	filename	Reads the file with given filename.
write_header_and_c_file	out_dir, h_file, h_file_name, c_file_source, c_file_name, exec_file	Writes header- (h_file and h_file) and c-file (c_file_source, c_file_name) into given output directory (out_dir). Optionally an executable file (exec_file) is copied into the given output directory.
convert_array_to_string	array	Returns a string representation of the given array with surrounding curly brackets.
get_number_of_layers	input	Returns the number of layers in the given network model.
get_layer_types_string	input, layer_types	Returns a string containing an array of indices representing the layer type of each layer. Indices are taken from the given layer_types dictionary of the form {<layer_name>:<index>}.
get_output_dimensions	input	Returns an array with height values, an array with width values and an array with depth values of the given network model.
get_pool_size_strings	input	Returns an array with pool height values and an array with pool width values of the given network model.
get_strides_strings	input	Returns an array with stride height values and an array with stride width values of the given network model.
get_padding_string	input, padding_types	Returns an array with the padding values of the given network model.
get_activation_function_string	input, activation_functions	Returns a string containing an array of indices representing the activation function for each layer. Indices are taken from the given dictionary of the form {<activation_function>:<index>}.
get_bias_information	input	Returns a string containing an array of bools indicating the usage of biases, a string containing an array of indices indicating the start position of bias values for each layer, and a flattened array of weights values.
get_weight_information	input, layerOutputHeight	Returns a string containing an array of indices indicating the start position of weight values for each layer, and a flattened array of weights values.