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common.py
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#
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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.
#
import argparse
import os
import tensorrt as trt
from common_runtime import *
try:
# Sometimes python does not understand FileNotFoundError
FileNotFoundError
except NameError:
FileNotFoundError = IOError
def GiB(val):
return val * 1 << 30
def add_help(description):
parser = argparse.ArgumentParser(
description=description, formatter_class=argparse.ArgumentDefaultsHelpFormatter
)
args, _ = parser.parse_known_args()
def find_sample_data(
description="Runs a TensorRT Python sample", subfolder="", find_files=[], err_msg=""
):
"""
Parses sample arguments.
Args:
description (str): Description of the sample.
subfolder (str): The subfolder containing data relevant to this sample
find_files (str): A list of filenames to find. Each filename will be replaced with an absolute path.
Returns:
str: Path of data directory.
"""
# Standard command-line arguments for all samples.
kDEFAULT_DATA_ROOT = os.path.join(os.sep, "usr", "src", "tensorrt", "data")
parser = argparse.ArgumentParser(
description=description, formatter_class=argparse.ArgumentDefaultsHelpFormatter
)
parser.add_argument(
"-d",
"--datadir",
help="Location of the TensorRT sample data directory, and any additional data directories.",
action="append",
default=[kDEFAULT_DATA_ROOT],
)
args, _ = parser.parse_known_args()
def get_data_path(data_dir):
# If the subfolder exists, append it to the path, otherwise use the provided path as-is.
data_path = os.path.join(data_dir, subfolder)
if not os.path.exists(data_path):
if data_dir != kDEFAULT_DATA_ROOT:
print(
"WARNING: "
+ data_path
+ " does not exist. Trying "
+ data_dir
+ " instead."
)
data_path = data_dir
# Make sure data directory exists.
if not (os.path.exists(data_path)) and data_dir != kDEFAULT_DATA_ROOT:
print(
"WARNING: {:} does not exist. Please provide the correct data path with the -d option.".format(
data_path
)
)
return data_path
data_paths = [get_data_path(data_dir) for data_dir in args.datadir]
return data_paths, locate_files(data_paths, find_files, err_msg)
def locate_files(data_paths, filenames, err_msg=""):
"""
Locates the specified files in the specified data directories.
If a file exists in multiple data directories, the first directory is used.
Args:
data_paths (List[str]): The data directories.
filename (List[str]): The names of the files to find.
Returns:
List[str]: The absolute paths of the files.
Raises:
FileNotFoundError if a file could not be located.
"""
found_files = [None] * len(filenames)
for data_path in data_paths:
# Find all requested files.
for index, (found, filename) in enumerate(zip(found_files, filenames)):
if not found:
file_path = os.path.abspath(os.path.join(data_path, filename))
if os.path.exists(file_path):
found_files[index] = file_path
# Check that all files were found
for f, filename in zip(found_files, filenames):
if not f or not os.path.exists(f):
raise FileNotFoundError(
"Could not find {:}. Searched in data paths: {:}\n{:}".format(
filename, data_paths, err_msg
)
)
return found_files
# Sets up the builder to use the timing cache file, and creates it if it does not already exist
def setup_timing_cache(config: trt.IBuilderConfig, timing_cache_path: os.PathLike):
buffer = b""
if os.path.exists(timing_cache_path):
with open(timing_cache_path, mode="rb") as timing_cache_file:
buffer = timing_cache_file.read()
timing_cache: trt.ITimingCache = config.create_timing_cache(buffer)
config.set_timing_cache(timing_cache, True)
# Saves the config's timing cache to file
def save_timing_cache(config: trt.IBuilderConfig, timing_cache_path: os.PathLike):
timing_cache: trt.ITimingCache = config.get_timing_cache()
with open(timing_cache_path, "wb") as timing_cache_file:
timing_cache_file.write(memoryview(timing_cache.serialize()))