| """Conversion utility from binary numpy files to JSON and the reverse.""" |
| # Copyright (c) 2021-2022, ARM Limited. |
| # SPDX-License-Identifier: Apache-2.0 |
| import json |
| from pathlib import Path |
| from typing import Optional |
| from typing import Union |
| |
| import numpy as np |
| |
| |
| class NumpyArrayEncoder(json.JSONEncoder): |
| """A JSON encoder for Numpy data types.""" |
| |
| def default(self, obj): |
| """Encode default operation.""" |
| if isinstance(obj, np.integer): |
| return int(obj) |
| elif isinstance(obj, np.float32): |
| return float(obj) |
| elif isinstance(obj, np.float16): |
| return np.float16(obj) |
| elif isinstance(obj, np.ndarray): |
| return obj.tolist() |
| return super(NumpyArrayEncoder, self).default(obj) |
| |
| |
| def get_shape(t: Union[list, tuple]): |
| """Get the shape of an N-Dimensional tensor.""" |
| # TODO: validate shape is consistent for all rows and ccolumns |
| if isinstance(t, (list, tuple)) and t: |
| return [len(t)] + get_shape(t[0]) |
| return [] |
| |
| |
| def npy_to_json(n_path: Path, j_path: Optional[Path] = None): |
| """Load a numpy data file and save it as a JSON file. |
| |
| n_path: the Path to the numpy file |
| j_path: the Path to the JSON file, if None, it is derived from n_path |
| """ |
| if not j_path: |
| j_path = n_path.parent / (n_path.stem + ".json") |
| with open(n_path, "rb") as fd: |
| data = np.load(fd) |
| jdata = { |
| "type": data.dtype.name, |
| "data": data.tolist(), |
| } |
| with open(j_path, "w") as fp: |
| json.dump(jdata, fp, indent=2) |
| |
| |
| def json_to_npy(j_path: Path, n_path: Optional[Path] = None): |
| """Load a JSON file and save it as a numpy data file. |
| |
| j_path: the Path to the JSON file |
| n_path: the Path to the numpy file, if None, it is derived from j_path |
| """ |
| if not n_path: |
| n_path = j_path.parent / (j_path.stem + ".npy") |
| with open(j_path, "rb") as fd: |
| jdata = json.load(fd) |
| raw_data = jdata["data"] |
| raw_type = jdata["type"] |
| shape = get_shape(raw_data) |
| data = np.asarray(raw_data).reshape(shape).astype(raw_type) |
| with open(n_path, "wb") as fd: |
| np.save(fd, data) |
| |
| |
| # ------------------------------------------------------------------------------ |
| |
| |
| def test(): |
| """Test conversion routines.""" |
| shape = [2, 3, 4] |
| elements = 1 |
| for i in shape: |
| elements *= i |
| |
| # file names |
| n_path = Path("data.npy") |
| j_path = Path("data.json") |
| j2n_path = Path("data_j2n.npy") |
| |
| datatypes = [ |
| np.bool_, |
| np.int8, |
| np.int16, |
| np.int32, |
| np.int64, |
| np.uint8, |
| np.uint16, |
| np.uint32, |
| np.uint64, |
| np.float16, |
| np.float32, |
| np.float64, |
| # np.float128, |
| # np.complex64, |
| # np.complex128, |
| # np.complex256, |
| # np.datetime64, |
| # np.str, |
| ] |
| |
| for data_type in datatypes: |
| dt = np.dtype(data_type) |
| print(data_type, dt, dt.char, dt.num, dt.name, dt.str) |
| |
| # create a tensor of the given shape |
| tensor = np.arange(elements).reshape(shape).astype(data_type) |
| # print(tensor) |
| |
| # save the tensor in a binary numpy file |
| with open(n_path, "wb") as fd: |
| np.save(fd, tensor) |
| |
| # read back the numpy file for verification |
| with open(n_path, "rb") as fd: |
| tensor1 = np.load(fd) |
| |
| # confirm the loaded tensor matches the original |
| assert tensor.shape == tensor1.shape |
| assert tensor.dtype == tensor1.dtype |
| assert (tensor == tensor1).all() |
| |
| # convert the numpy file to json |
| npy_to_json(n_path, j_path) |
| |
| # convert the json file to numpy |
| json_to_npy(j_path, j2n_path) |
| |
| # read back the json-to-numpy file for verification |
| with open(j2n_path, "rb") as fd: |
| tensor1 = np.load(fd) |
| |
| # confirm the loaded tensor matches the original |
| assert tensor.shape == tensor1.shape |
| assert tensor.dtype == tensor1.dtype |
| assert (tensor == tensor1).all() |
| |
| # delete the files, if no problems were found |
| # they are left for debugging if any of the asserts failed |
| n_path.unlink() |
| j_path.unlink() |
| j2n_path.unlink() |
| return 0 |
| |
| |
| def main(argv=None): |
| """Load and convert supplied file based on file suffix.""" |
| import argparse |
| |
| parser = argparse.ArgumentParser() |
| parser.add_argument( |
| "path", type=Path, help="the path to the file to convert, or 'test'" |
| ) |
| args = parser.parse_args(argv) |
| path = args.path |
| if str(path) == "test": |
| print("test") |
| return test() |
| |
| if not path.is_file(): |
| print(f"Invalid file - {path}") |
| return 2 |
| |
| if path.suffix == ".npy": |
| npy_to_json(path) |
| elif path.suffix == ".json": |
| json_to_npy(path) |
| else: |
| print("Unknown file type - {path.suffix}") |
| return 2 |
| |
| return 0 |
| |
| |
| if __name__ == "__main__": |
| exit(main()) |