# MegEngine is Licensed under the Apache License, Version 2.0 (the "License") # # Copyright (c) 2014-2021 Megvii Inc. All rights reserved. # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. import argparse import os import textwrap from pathlib import Path import numpy as np from megengine.utils import plugin def check(v0, v1, name, max_err): v0 = np.ascontiguousarray(v0, dtype=np.float32) v1 = np.ascontiguousarray(v1, dtype=np.float32) assert np.isfinite(v0.sum()) and np.isfinite( v1.sum() ), "{} not finite: sum={} vs sum={}".format(name, v0.sum(), v1.sum()) assert v0.shape == v1.shape, "{} shape mismatch: {} vs {}".format( name, v0.shape, v1.shape ) vdiv = np.max([np.abs(v0), np.abs(v1), np.ones_like(v0)], axis=0) err = np.abs(v0 - v1) / vdiv check = err > max_err if check.sum(): idx = tuple(i[0] for i in np.nonzero(check)) raise AssertionError( "{} not equal: " "shape={} nonequal_idx={} v0={} v1={} err={}".format( name, v0.shape, idx, v0[idx], v1[idx], err[idx] ) ) def main(): parser = argparse.ArgumentParser( description=( "compare tensor dumps generated BinaryOprIODump plugin, " "it can compare two dirs or two single files" ), formatter_class=argparse.ArgumentDefaultsHelpFormatter, ) parser.add_argument("input0", help="dirname or filename") parser.add_argument("input1", help="dirname or filename") parser.add_argument( "-e", "--max-err", type=float, default=1e-3, help="max allowed error" ) parser.add_argument( "-s", "--stop-on-error", action="store_true", help="do not compare " ) args = parser.parse_args() files0 = set() files1 = set() if os.path.isdir(args.input0): assert os.path.isdir(args.input1) name0 = set() name1 = set() for i in os.listdir(args.input0): files0.add(str(Path(args.input0) / i)) name0.add(i) for i in os.listdir(args.input1): files1.add(str(Path(args.input1) / i)) name1.add(i) assert name0 == name1, "dir files mismatch: a-b={} b-a={}".format( name0 - name1, name1 - name0 ) else: files0.add(args.input0) files1.add(args.input1) files0 = sorted(files0) files1 = sorted(files1) for i, j in zip(files0, files1): val0, name0 = plugin.load_tensor_binary(i) val1, name1 = plugin.load_tensor_binary(j) name = "{}: \n{}\n{}\n".format( i, "\n ".join(textwrap.wrap(name0)), "\n ".join(textwrap.wrap(name1)) ) try: check(val0, val1, name, args.max_err) except Exception as exc: if args.stop_on_error: raise exc print(exc) if __name__ == "__main__": main()