cProfile is a built-in Python module designed for lightweight and efficient profiling of Python programs. It provides a way to analyze code performance by collecting statistics about function calls, including the number of calls, total time spent, and time per call. Using cProfile, we can pinpoint bottlenecks, identify areas for optimization, and gain insights into the runtime behavior of their Python applications. The module is particularly useful for profiling and understanding the execution flow of functions within a program, aiding in the process of code optimization and performance improvement. In this pull request, cProfile is utilized to gather profiling data, and the results are visualized using tools like SnakeViz and gprof2dot for enhanced analysis and interpretation.
SnakeViz
SnakeViz is a web-based interactive viewer for cProfile or profile (Python built-in module) output.
Profiling:
Profiling data generated by cProfile, a built-in Python profiling
Columns typically include ncalls, tottime,percall, cumtime, percal, filename:lineno(function)
Visualization Plots:
SnakeViz can generate visualizations like icicle and sunburst plots for profiling data.
Definition:
def visualize_profiling_data(profiling_path_prof, PORT=8998):
"""
Visualize cProfile profiling data using SnakeViz.
Args:
profiling_path_prof (str): The path to the cProfile profiling data in `.prof` format.
PORT (int): The port at which SnakeViz server runs (default is 8998), can be configured to any open port.
Returns:
Void. The SnakeViz starts running at the `PORT` showing the icicle and sunburst plots
"""
Exiting the SnakeViz Server:
To exit the SnakeViz server, a keyboard interrupt is needed.
On Windows, press Ctrl + C or Ctrl + Break
On Linux and macOS, press Control + C.
Sample Icicle generated by SnakeViz (Trained baler for 2000 epochs)
yelp-gprof2dot
Directed Graphs (Di Graphs):
A directed graph (digraph) is a graph that is made up of vertices (nodes) connected by directed edges.
In the context of profiling, a directed graph can represent the flow of program execution. Nodes may correspond to functions or code blocks, and edges indicate the direction of execution from one node to another.
Call Graphs:
A call graph is a type of directed graph that represents the relationships between functions in a program.
In the context of profiling, a call graph visualizes how functions call each other during program execution. Each node in the graph typically corresponds to a function, and directed edges show the flow of control from one function to another.
Usage:
Di graphs and call graphs are powerful tools for profiling and optimization, offering insights into the structure and behavior of the code.
Visualization aids in comprehending complex relationships between functions, making it easier to comprehend the call order and time taken by the various parts of the function calls.
Definition
def generate_call_graphs(func, profiling_path_pstats, output_path):
"""
Generate call graphs and directed graphs (digraphs) for a given Python function.
Args:
func (callable): The Python function for which call graphs will be generated.
profiling_path_pstats (str): The path to the profiling data in pstats format.
output_path (str): The directory where the generated graphs will be saved.
Returns:
Void. The call graphs are created and saved in the `output_path` directory
Note:
- This function requires Graphviz to be installed and configured separately.
- Ensure that the 'dot' executable from Graphviz is in the system's PATH.
"""
Description of the changes made
cProfile is a built-in Python module designed for lightweight and efficient profiling of Python programs. It provides a way to analyze code performance by collecting statistics about function calls, including the number of calls, total time spent, and time per call. Using cProfile, we can pinpoint bottlenecks, identify areas for optimization, and gain insights into the runtime behavior of their Python applications. The module is particularly useful for profiling and understanding the execution flow of functions within a program, aiding in the process of code optimization and performance improvement. In this pull request, cProfile is utilized to gather profiling data, and the results are visualized using tools like SnakeViz and gprof2dot for enhanced analysis and interpretation.
SnakeViz
SnakeViz is a web-based interactive viewer for cProfile or profile (Python built-in module) output.
Profiling:
ncalls,tottime,percall,cumtime,percal,filename:lineno(function)Visualization Plots:
icicleandsunburstplots for profiling data.Definition:
Exiting the SnakeViz Server:
Ctrl + CorCtrl + BreakControl + C.Sample Icicle generated by SnakeViz (Trained baler for 2000 epochs)
yelp-gprof2dot
Directed Graphs (Di Graphs):
Call Graphs:
Usage:
Definition
Install Graphviz from here
Sample call graph generated by yelp-gprof2dot (Trained baler for 2000 epochs)
Replicate/Review the changes
--cProfileflagThe profiled outputs and plots will be stored at the location:
workspaces/CFD_workspace/CFD_project_animation/output/profiling/