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# Copyright (c) 2019, NVIDIA Corporation. All rights reserved.
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#
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# This work is made available under the Nvidia Source Code License-NC.
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# To view a copy of this license, visit
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# https://nvlabs.github.io/stylegan2/license.html
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"""TensorFlow custom ops builder.
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"""
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import os
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import re
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import uuid
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import hashlib
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import tempfile
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import shutil
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import tensorflow as tf
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from tensorflow.python.client import device_lib # pylint: disable=no-name-in-module
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#----------------------------------------------------------------------------
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# Global options.
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cuda_cache_path = os.path.join(os.path.dirname(__file__), '_cudacache')
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cuda_cache_version_tag = 'v1'
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do_not_hash_included_headers = False # Speed up compilation by assuming that headers included by the CUDA code never change. Unsafe!
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verbose = True # Print status messages to stdout.
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compiler_bindir_search_path = [
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'C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.14.26428/bin/Hostx64/x64',
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'C:/Program Files (x86)/Microsoft Visual Studio/2019/Community/VC/Tools/MSVC/14.23.28105/bin/Hostx64/x64',
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'C:/Program Files (x86)/Microsoft Visual Studio 14.0/vc/bin',
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]
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#----------------------------------------------------------------------------
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# Internal helper funcs.
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def _find_compiler_bindir():
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for compiler_path in compiler_bindir_search_path:
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if os.path.isdir(compiler_path):
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return compiler_path
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return None
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def _get_compute_cap(device):
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caps_str = device.physical_device_desc
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m = re.search('compute capability: (\\d+).(\\d+)', caps_str)
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major = m.group(1)
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minor = m.group(2)
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return (major, minor)
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def _get_cuda_gpu_arch_string():
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gpus = [x for x in device_lib.list_local_devices() if x.device_type == 'GPU']
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if len(gpus) == 0:
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raise RuntimeError('No GPU devices found')
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(major, minor) = _get_compute_cap(gpus[0])
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return 'sm_%s%s' % (major, minor)
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def _run_cmd(cmd):
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with os.popen(cmd) as pipe:
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output = pipe.read()
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status = pipe.close()
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if status is not None:
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raise RuntimeError('NVCC returned an error. See below for full command line and output log:\n\n%s\n\n%s' % (cmd, output))
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def _prepare_nvcc_cli(opts):
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cmd = 'nvcc --std=c++14 -DNDEBUG ' + opts.strip()
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cmd += ' --disable-warnings'
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cmd += ' --include-path "%s"' % tf.sysconfig.get_include()
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cmd += ' --include-path "%s"' % os.path.join(tf.sysconfig.get_include(), 'external', 'protobuf_archive', 'src')
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cmd += ' --include-path "%s"' % os.path.join(tf.sysconfig.get_include(), 'external', 'com_google_absl')
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cmd += ' --include-path "%s"' % os.path.join(tf.sysconfig.get_include(), 'external', 'eigen_archive')
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compiler_bindir = _find_compiler_bindir()
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if compiler_bindir is None:
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# Require that _find_compiler_bindir succeeds on Windows. Allow
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# nvcc to use whatever is the default on Linux.
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if os.name == 'nt':
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raise RuntimeError('Could not find MSVC/GCC/CLANG installation on this computer. Check compiler_bindir_search_path list in "%s".' % __file__)
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else:
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cmd += ' --compiler-bindir "%s"' % compiler_bindir
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cmd += ' 2>&1'
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return cmd
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#----------------------------------------------------------------------------
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# Main entry point.
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_plugin_cache = dict()
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def get_plugin(cuda_file):
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cuda_file_base = os.path.basename(cuda_file)
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cuda_file_name, cuda_file_ext = os.path.splitext(cuda_file_base)
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# Already in cache?
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if cuda_file in _plugin_cache:
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return _plugin_cache[cuda_file]
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# Setup plugin.
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if verbose:
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print('Setting up TensorFlow plugin "%s": ' % cuda_file_base, end='', flush=True)
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try:
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# Hash CUDA source.
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md5 = hashlib.md5()
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with open(cuda_file, 'rb') as f:
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md5.update(f.read())
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md5.update(b'\n')
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# Hash headers included by the CUDA code by running it through the preprocessor.
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if not do_not_hash_included_headers:
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if verbose:
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print('Preprocessing... ', end='', flush=True)
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with tempfile.TemporaryDirectory() as tmp_dir:
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tmp_file = os.path.join(tmp_dir, cuda_file_name + '_tmp' + cuda_file_ext)
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_run_cmd(_prepare_nvcc_cli('"%s" --preprocess -o "%s" --keep --keep-dir "%s"' % (cuda_file, tmp_file, tmp_dir)))
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with open(tmp_file, 'rb') as f:
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bad_file_str = ('"' + cuda_file.replace('\\', '/') + '"').encode('utf-8') # __FILE__ in error check macros
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good_file_str = ('"' + cuda_file_base + '"').encode('utf-8')
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for ln in f:
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if not ln.startswith(b'# ') and not ln.startswith(b'#line '): # ignore line number pragmas
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ln = ln.replace(bad_file_str, good_file_str)
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md5.update(ln)
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md5.update(b'\n')
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# Select compiler options.
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compile_opts = ''
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if os.name == 'nt':
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compile_opts += '"%s"' % os.path.join(tf.sysconfig.get_lib(), 'python', '_pywrap_tensorflow_internal.lib')
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elif os.name == 'posix':
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compile_opts += '"%s"' % os.path.join(tf.sysconfig.get_lib(), 'python', '_pywrap_tensorflow_internal.so')
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compile_opts += ' --compiler-options \'-fPIC -D_GLIBCXX_USE_CXX11_ABI=0\''
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else:
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assert False # not Windows or Linux, w00t?
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compile_opts += ' --gpu-architecture=%s' % _get_cuda_gpu_arch_string()
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compile_opts += ' --use_fast_math'
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nvcc_cmd = _prepare_nvcc_cli(compile_opts)
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# Hash build configuration.
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md5.update(('nvcc_cmd: ' + nvcc_cmd).encode('utf-8') + b'\n')
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md5.update(('tf.VERSION: ' + tf.version.VERSION).encode('utf-8') + b'\n')
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md5.update(('cuda_cache_version_tag: ' + cuda_cache_version_tag).encode('utf-8') + b'\n')
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# Compile if not already compiled.
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bin_file_ext = '.dll' if os.name == 'nt' else '.so'
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bin_file = os.path.join(cuda_cache_path, cuda_file_name + '_' + md5.hexdigest() + bin_file_ext)
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if not os.path.isfile(bin_file):
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if verbose:
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print('Compiling... ', end='', flush=True)
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with tempfile.TemporaryDirectory() as tmp_dir:
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tmp_file = os.path.join(tmp_dir, cuda_file_name + '_tmp' + bin_file_ext)
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_run_cmd(nvcc_cmd + ' "%s" --shared -o "%s" --keep --keep-dir "%s"' % (cuda_file, tmp_file, tmp_dir))
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os.makedirs(cuda_cache_path, exist_ok=True)
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intermediate_file = os.path.join(cuda_cache_path, cuda_file_name + '_' + uuid.uuid4().hex + '_tmp' + bin_file_ext)
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shutil.copyfile(tmp_file, intermediate_file)
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os.rename(intermediate_file, bin_file) # atomic
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# Load.
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if verbose:
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print('Loading... ', end='', flush=True)
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plugin = tf.load_op_library(bin_file)
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# Add to cache.
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_plugin_cache[cuda_file] = plugin
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if verbose:
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print('Done.', flush=True)
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return plugin
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except:
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if verbose:
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print('Failed!', flush=True)
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raise
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#----------------------------------------------------------------------------
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