blob: 53d5ae342e22c5ba76f51ecc05e72fd4b23504a1 [file] [log] [blame]
#!/usr/bin/env python3
# Copyright 2021 The Tint Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Collect all .spvasm files under a given directory, assemble them using
# spirv-as, and emit the assembled binaries to a given corpus directory,
# flattening their file names by replacing path separators with underscores.
# If the output directory already exists, it will be deleted and re-created.
# Files ending with ".expected.spvasm" are skipped.
#
# The intended use of this script is to generate a corpus of SPIR-V
# binaries for fuzzing.
#
# Usage:
# generate_spirv_corpus.py <input_dir> <corpus_dir> <path to spirv-as>
import os
import pathlib
import shutil
import subprocess
import sys
def list_spvasm_files(root_search_dir):
for root, folders, files in os.walk(root_search_dir):
for filename in folders + files:
if pathlib.Path(filename).suffix == ".spvasm":
yield os.path.join(root, filename)
def main():
if len(sys.argv) != 4:
print("Usage: " + sys.argv[0] +
" <input dir> <output dir> <spirv-as path>")
return 1
input_dir: str = os.path.abspath(sys.argv[1].rstrip(os.sep))
corpus_dir: str = os.path.abspath(sys.argv[2])
spirv_as_path: str = os.path.abspath(sys.argv[3])
if os.path.exists(corpus_dir):
shutil.rmtree(corpus_dir)
os.makedirs(corpus_dir)
# It might be that some of the attempts to convert SPIR-V assembly shaders
# into SPIR-V binaries go wrong. It is sensible to tolerate a small number
# of such errors, to avoid fuzzer preparation failing due to bugs in
# spirv-as. But it is important to know when a large number of failures
# occur, in case something is more deeply wrong.
num_errors = 0
max_tolerated_errors = 10
logged_errors = ""
for in_file in list_spvasm_files(input_dir):
if ".expected." in in_file:
continue
out_file = os.path.splitext(
corpus_dir + os.sep +
in_file[len(input_dir) + 1:].replace(os.sep, '_'))[0] + ".spv"
cmd = [
spirv_as_path, "--target-env", "spv1.3", in_file, "-o", out_file
]
proc = subprocess.Popen(cmd,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
stdout, stderr = proc.communicate()
if proc.returncode != 0:
num_errors += 1
logged_errors += "Error running " + " ".join(
cmd) + ": " + stdout.decode('utf-8') + stderr.decode('utf-8')
if num_errors > max_tolerated_errors:
print("Too many (" + str(num_errors) +
") errors occurred while generating the SPIR-V corpus.")
print(logged_errors)
return 1
if __name__ == "__main__":
sys.exit(main())