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https://github.com/smyalygames/FiniteVolumeGPU.git
synced 2025-05-18 06:24:13 +02:00
Added disk caching of kernels
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@ -1,8 +1,32 @@
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# -*- coding: utf-8 -*-
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"""
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This python module implements the different helper functions and
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classes
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Copyright (C) 2018 SINTEF ICT
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This program is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <http://www.gnu.org/licenses/>.
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"""
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import os
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import numpy as np
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import time
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import re
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import io
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import hashlib
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import pycuda.compiler as cuda_compiler
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import pycuda.gpuarray
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@ -38,13 +62,18 @@ Class which keeps track of the CUDA context and some helper functions
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"""
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class CudaContext(object):
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def __init__(self, verbose=True, blocking=False):
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def __init__(self, verbose=True, blocking=False, use_cache=True):
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self.verbose = verbose
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self.blocking = blocking
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self.kernels = {}
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self.use_cache = use_cache
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self.modules = {}
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self.module_path = os.path.dirname(os.path.realpath(__file__))
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#Initialize cuda (must be first call to PyCUDA)
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cuda.init(flags=0)
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#Print some info about CUDA
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if (self.verbose):
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print("CUDA version " + str(cuda.get_version()))
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print("Driver version " + str(cuda.get_driver_version()))
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@ -55,6 +84,7 @@ class CudaContext(object):
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print(" => compute capability: " + str(self.cuda_device.compute_capability()))
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print(" => memory: " + str(self.cuda_device.total_memory() / (1024*1024)) + " MB")
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# Create the CUDA context
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if (self.blocking):
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self.cuda_context = self.cuda_device.make_context(flags=cuda.ctx_flags.SCHED_BLOCKING_SYNC)
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if (self.verbose):
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@ -66,6 +96,14 @@ class CudaContext(object):
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if (self.verbose):
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print("Created context <" + str(self.cuda_context.handle) + ">")
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#Create cache dir for cubin files
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if (self.use_cache):
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self.cache_path = os.path.join(self.module_path, "cuda_cache")
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if not os.path.isdir(self.cache_path):
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os.mkdir(self.cache_path)
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if (verbose):
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print("Using CUDA cache dir " + self.cache_path)
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def __del__(self, *args):
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@ -98,13 +136,13 @@ class CudaContext(object):
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def __str__(self):
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return "CudaContext id " + str(self.cuda_context.handle)
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def hash_kernel(kernel_filename, include_dirs, verbose=False):
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# Generate a kernel ID for our cache
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# Generate a kernel ID for our caches
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num_includes = 0
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max_includes = 100
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kernel_hash = ""
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kernel_hasher = hashlib.md5()
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with Timer("compiler", verbose=False) as timer:
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# Loop over file and includes, and check if something has changed
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@ -122,11 +160,14 @@ class CudaContext(object):
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modified = os.path.getmtime(filename)
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# Open the file
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with open(filename, "r") as file:
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with io.open(filename, "r") as file:
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# Search for #inclue <something> and also hash the file
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file_str = file.read()
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file_hash = "\nfile=" + filename + ":hash=" + str(hash(file_str)) + ":modified=" + str(modified)
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kernel_hasher.update(file_str.encode('utf-8'))
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kernel_hasher.update(str(modified).encode('utf-8'))
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#Find all includes
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includes = re.findall('^\W*#include\W+(.+?)\W*$', file_str, re.M)
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# Loop over everything that looks like an include
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@ -143,12 +184,10 @@ class CudaContext(object):
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num_includes = num_includes + 1 #For circular includes...
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break
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#Create the "advanced" hash for each kernel
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kernel_hash = kernel_hash + file_hash
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if (verbose):
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print("`-> Hashed in " + str(timer.secs) + " seconds")
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return kernel_hash
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return kernel_hasher.hexdigest()
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"""
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Reads a text file and creates an OpenCL kernel from that
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@ -157,45 +196,82 @@ class CudaContext(object):
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prepared_call_args, \
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block_width, block_height, \
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include_dirs=[], verbose=False, no_extern_c=False):
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"""
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Helper function to print compilation output
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"""
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def cuda_compile_message_handler(compile_success_bool, info_str, error_str):
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if (verbose):
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print("`-> Compilation returned " + str(compile_success_bool))
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if info_str:
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print("`-> Info: " + info_str)
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if error_str:
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print("`-> Error: " + error_str)
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if (verbose):
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print("Getting " + kernel_filename)
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# Create a hash of the kernel (and its includes)
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module_path = os.path.dirname(os.path.realpath(__file__))
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kernel_hash = kernel_filename \
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root, ext = os.path.splitext(kernel_filename)
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kernel_hash = root \
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+ "_" + str(block_width) + "x" + str(block_height) \
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+ CudaContext.hash_kernel( \
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os.path.join(module_path, kernel_filename), \
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include_dirs=[module_path] + include_dirs, \
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verbose=verbose)
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+ "_" + CudaContext.hash_kernel( \
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os.path.join(self.module_path, kernel_filename), \
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include_dirs=[self.module_path] + include_dirs, \
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verbose=verbose) \
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+ ext
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cached_kernel_filename = os.path.join(self.cache_path, kernel_hash)
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# Recompile kernel if file or includes have changed
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if (kernel_hash not in self.kernels.keys()):
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# If we have the kernel in our hashmap, return it
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if (kernel_hash in self.modules.keys()):
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if (verbose):
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print("`-> Kernel changed or not in hash => compiling " + kernel_filename)
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print("`-> Found kernel " + kernel_hash + " cached in hashmap")
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return self.modules[kernel_hash].get_function(kernel_function_name)
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# If we have it on disk, return it
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elif (self.use_cache and os.path.isfile(cached_kernel_filename)):
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if (verbose):
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print("`-> Found kernel " + kernel_hash + " cached on disk")
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with io.open(cached_kernel_filename, "rb") as file:
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file_str = file.read()
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module = cuda.module_from_buffer(file_str, message_handler=cuda_compile_message_handler)
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self.modules[kernel_hash] = module
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kernel = self.modules[kernel_hash].get_function(kernel_function_name)
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kernel.prepare(prepared_call_args)
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return kernel
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# Otherwise, compile it from source
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else:
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if (verbose):
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print("`-> Compiling " + kernel_filename)
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#Create define string
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define_string = "#define BLOCK_WIDTH " + str(block_width) + "\n"
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define_string += "#define BLOCK_HEIGHT " + str(block_height) + "\n\n"
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kernel_string = define_string + '#include "' + os.path.join(module_path, kernel_filename) + '"'
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kernel_string = define_string + '#include "' + os.path.join(self.module_path, kernel_filename) + '"'
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with Timer("compiler", verbose=False) as timer:
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self.kernels[kernel_hash] = cuda_compiler.SourceModule(kernel_string, include_dirs=include_dirs, no_extern_c=no_extern_c)
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cubin = cuda_compiler.compile(kernel_string, include_dirs=include_dirs, no_extern_c=no_extern_c, cache_dir=False)
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module = cuda.module_from_buffer(cubin, message_handler=cuda_compile_message_handler)
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self.modules[kernel_hash] = module
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if (self.use_cache):
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with io.open(cached_kernel_filename, "wb") as file:
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file.write(cubin)
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if (verbose):
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print("`-> Compiled in " + str(timer.secs) + " seconds")
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kernel = self.kernels[kernel_hash].get_function(kernel_function_name)
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kernel.prepare(prepared_call_args)
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return kernel
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kernel = self.modules[kernel_hash].get_function(kernel_function_name)
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kernel.prepare(prepared_call_args)
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return kernel
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"""
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Clears the kernel cache (useful for debugging & development)
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"""
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def clear_kernel_cache(self):
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self.kernels = {}
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self.modules = {}
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