| |
| |
| |
| from __future__ import annotations |
|
|
| import argparse |
| import os |
| import pathlib |
| import sys |
|
|
| import onnx |
|
|
| from .onnx_model_utils import fix_output_shapes, make_dim_param_fixed, make_input_shape_fixed |
|
|
|
|
| def make_dynamic_shape_fixed_helper(): |
| parser = argparse.ArgumentParser( |
| f"{os.path.basename(__file__)}:{make_dynamic_shape_fixed_helper.__name__}", |
| description=""" |
| Assign a fixed value to a dim_param or input shape |
| Provide either dim_param and dim_value or input_name and input_shape.""", |
| ) |
|
|
| parser.add_argument( |
| "--dim_param", type=str, required=False, help="Symbolic parameter name. Provide dim_value if specified." |
| ) |
| parser.add_argument( |
| "--dim_value", type=int, required=False, help="Value to replace dim_param with in the model. Must be > 0." |
| ) |
| parser.add_argument( |
| "--input_name", |
| type=str, |
| required=False, |
| help="Model input name to replace shape of. Provide input_shape if specified.", |
| ) |
| parser.add_argument( |
| "--input_shape", |
| type=lambda x: [int(i) for i in x.split(",")], |
| required=False, |
| help="Shape to use for input_shape. Provide comma separated list for the shape. " |
| "All values must be > 0. e.g. --input_shape 1,3,256,256", |
| ) |
|
|
| parser.add_argument("input_model", type=pathlib.Path, help="Provide path to ONNX model to update.") |
| parser.add_argument("output_model", type=pathlib.Path, help="Provide path to write updated ONNX model to.") |
|
|
| args = parser.parse_args() |
|
|
| if ( |
| (args.dim_param and args.input_name) |
| or (not args.dim_param and not args.input_name) |
| or (args.dim_param and (not args.dim_value or args.dim_value < 1)) |
| or (args.input_name and (not args.input_shape or any(value < 1 for value in args.input_shape))) |
| ): |
| print("Invalid usage.") |
| parser.print_help() |
| sys.exit(-1) |
|
|
| model = onnx.load(str(args.input_model.resolve(strict=True))) |
|
|
| if args.dim_param: |
| make_dim_param_fixed(model.graph, args.dim_param, args.dim_value) |
| else: |
| make_input_shape_fixed(model.graph, args.input_name, args.input_shape) |
|
|
| |
| fix_output_shapes(model) |
|
|
| onnx.save(model, str(args.output_model.resolve())) |
|
|
|
|
| if __name__ == "__main__": |
| make_dynamic_shape_fixed_helper() |
|
|
