chop.passes.graph.analysis.report

chop.passes.graph.analysis.report#

report_graph_analysis_pass#

chop.passes.graph.analysis.report.report_graph.report_graph_analysis_pass(graph, pass_args={'file_name': None})[source]#

Generates a report for the graph analysis and prints out an overview of the model in a table.

Parameters:

  • graph (MaseGraph) – a MaseGraph

  • pass_args (dict, optional) – this pass can take a string argument named “file_name”, defaults to None

pass_args is normally None for this pass

Returns:

return a tuple of a MaseGraph and an empty dict (no additional info to return)

Return type:

tuple(MaseGraph, dict)

report_node_hardware_type_analysis_pass#

chop.passes.graph.analysis.report.report_node.report_node_hardware_type_analysis_pass(graph, pass_args: dict = {})[source]#

Perform hardware type analysis on the given graph.

Parameters:

  • graph (MaseGraph) – The graph to perform the analysis on.

  • pass_args (dict, optional) – Optional arguments for the analysis pass.

pass_args should be None for this pass.

Returns:

The analyzed graph and an empty dictionary.

Return type:

tuple(MaseGraph, dict)

report_node_meta_param_analysis_pass#

chop.passes.graph.analysis.report.report_node.report_node_meta_param_analysis_pass(graph, pass_args: dict = {})[source]#

Perform meta parameter analysis on the nodes in the graph and generate a report.

Parameters:

  • graph (MaseGraph) – The graph to analyze.

  • pass_args – Optional arguments for the analysis pass, a dict of arguments for this pass, including - “which”: str, and a list of options in [“all”, “common”, “hardware”, “software”], default [“all”] - “save_path”: str, a str of path to save the table, default None

pass_args = {
    "which": "all", # pick from ["all", "common", "hardware", "software"],
    "save_path": "path/to/save/table.txt" # default None, a str of path to save the table
}
Returns:

The analyzed graph and an empty dictionary.

Return type:

tuple(MaseGraph, dict)

report_node_shape_analysis_pass#

chop.passes.graph.analysis.report.report_node.report_node_shape_analysis_pass(graph, pass_args: dict = {})[source]#

Perform shape analysis on the nodes in the graph.

Parameters:

  • graph (MaseGraph) – The input graph to analyze.

  • pass_args (dict) – Additional arguments for the analysis pass (optional).

pass_args should be None for this pass.

Returns:

The analyzed graph and an empty dictionary.

Return type:

tuple(MaseGraph, Dict)

report_node_type_analysis_pass#

chop.passes.graph.analysis.report.report_node.report_node_type_analysis_pass(graph, pass_args: dict = {})[source]#

Perform a node type analysis on the given graph, pretty print MaseGraph after initialization/loading.

Parameters:

  • graph (MaseGraph) – The graph to analyze.

  • pass_args (dict) – Additional arguments for the analysis pass (optional).

pass_args should be None for this pass.

Returns:

The analyzed graph and an empty dictionary.

Return type:

tuple(MaseGraph, dict)