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3c5375345f
* Initial commit of evolution strategies example. * Some small simplifications. * Update example to use new API. * Add example to documentation.
195 lines
6.4 KiB
Python
195 lines
6.4 KiB
Python
# Code in this file is copied and adapted from
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# https://github.com/openai/evolution-strategies-starter.
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from collections import OrderedDict
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import os
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import shutil
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import sys
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import time
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import tensorflow as tf
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from tensorflow.core.util import event_pb2
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from tensorflow.python import pywrap_tensorflow
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from tensorflow.python.util import compat
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DEBUG = 10
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INFO = 20
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WARN = 30
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ERROR = 40
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DISABLED = 50
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class TbWriter(object):
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"""
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Based on SummaryWriter, but changed to allow for a different prefix
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and to get rid of multithreading
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oops, ended up using the same prefix anyway.
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"""
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def __init__(self, dir, prefix):
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self.dir = dir
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self.step = 1 # Start at 1, because EvWriter automatically generates an object with step=0
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self.evwriter = pywrap_tensorflow.EventsWriter(compat.as_bytes(os.path.join(dir, prefix)))
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def write_values(self, key2val):
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summary = tf.Summary(value=[tf.Summary.Value(tag=k, simple_value=float(v))
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for (k, v) in key2val.items()])
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event = event_pb2.Event(wall_time=time.time(), summary=summary)
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event.step = self.step # is there any reason why you'd want to specify the step?
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self.evwriter.WriteEvent(event)
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self.evwriter.Flush()
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self.step += 1
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def close(self):
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self.evwriter.Close()
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# ================================================================
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# API
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# ================================================================
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def start(dir):
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"""
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dir: directory to put all output files
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force: if dir already exists, should we delete it, or throw a RuntimeError?
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"""
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if _Logger.CURRENT is not _Logger.DEFAULT:
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sys.stderr.write("WARNING: You asked to start logging (dir=%s), but you never stopped the previous logger (dir=%s).\n"%(dir, _Logger.CURRENT.dir))
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_Logger.CURRENT = _Logger(dir=dir)
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def stop():
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if _Logger.CURRENT is _Logger.DEFAULT:
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sys.stderr.write("WARNING: You asked to stop logging, but you never started any previous logger.\n"%(dir, _Logger.CURRENT.dir))
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return
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_Logger.CURRENT.close()
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_Logger.CURRENT = _Logger.DEFAULT
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def record_tabular(key, val):
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"""
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Log a value of some diagnostic
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Call this once for each diagnostic quantity, each iteration
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"""
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_Logger.CURRENT.record_tabular(key, val)
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def dump_tabular():
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"""
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Write all of the diagnostics from the current iteration
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level: int. (see logger.py docs) If the global logger level is higher than
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the level argument here, don't print to stdout.
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"""
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_Logger.CURRENT.dump_tabular()
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def log(*args, level=INFO):
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"""
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Write the sequence of args, with no separators, to the console and output files (if you've configured an output file).
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"""
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_Logger.CURRENT.log(*args, level=level)
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def debug(*args):
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log(*args, level=DEBUG)
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def info(*args):
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log(*args, level=INFO)
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def warn(*args):
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log(*args, level=WARN)
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def error(*args):
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log(*args, level=ERROR)
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def set_level(level):
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"""
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Set logging threshold on current logger.
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"""
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_Logger.CURRENT.set_level(level)
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def get_dir():
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"""
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Get directory that log files are being written to.
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will be None if there is no output directory (i.e., if you didn't call start)
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"""
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return _Logger.CURRENT.get_dir()
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def get_expt_dir():
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sys.stderr.write("get_expt_dir() is Deprecated. Switch to get_dir()\n")
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return get_dir()
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# ================================================================
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# Backend
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# ================================================================
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class _Logger(object):
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DEFAULT = None # A logger with no output files. (See right below class definition)
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# So that you can still log to the terminal without setting up any output files
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CURRENT = None # Current logger being used by the free functions above
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def __init__(self, dir=None):
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self.name2val = OrderedDict() # values this iteration
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self.level = INFO
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self.dir = dir
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self.text_outputs = [sys.stdout]
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if dir is not None:
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os.makedirs(dir, exist_ok=True)
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self.text_outputs.append(open(os.path.join(dir, "log.txt"), "w"))
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self.tbwriter = TbWriter(dir=dir, prefix="events")
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else:
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self.tbwriter = None
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# Logging API, forwarded
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# ----------------------------------------
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def record_tabular(self, key, val):
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self.name2val[key] = val
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def dump_tabular(self):
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# Create strings for printing
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key2str = OrderedDict()
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for (key,val) in self.name2val.items():
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if hasattr(val, "__float__"): valstr = "%-8.3g"%val
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else: valstr = val
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key2str[self._truncate(key)]=self._truncate(valstr)
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keywidth = max(map(len, key2str.keys()))
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valwidth = max(map(len, key2str.values()))
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# Write to all text outputs
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self._write_text("-"*(keywidth+valwidth+7), "\n")
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for (key,val) in key2str.items():
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self._write_text("| ", key, " "*(keywidth-len(key)), " | ", val, " "*(valwidth-len(val)), " |\n")
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self._write_text("-"*(keywidth+valwidth+7), "\n")
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for f in self.text_outputs:
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try: f.flush()
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except OSError: sys.stderr.write('Warning! OSError when flushing.\n')
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# Write to tensorboard
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if self.tbwriter is not None:
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self.tbwriter.write_values(self.name2val)
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self.name2val.clear()
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def log(self, *args, level=INFO):
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if self.level <= level:
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self._do_log(*args)
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# Configuration
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# ----------------------------------------
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def set_level(self, level):
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self.level = level
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def get_dir(self):
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return self.dir
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def close(self):
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for f in self.text_outputs[1:]: f.close()
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if self.tbwriter: self.tbwriter.close()
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# Misc
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# ----------------------------------------
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def _do_log(self, *args):
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self._write_text(*args, '\n')
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for f in self.text_outputs:
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try: f.flush()
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except OSError: print('Warning! OSError when flushing.')
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def _write_text(self, *strings):
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for f in self.text_outputs:
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for string in strings:
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f.write(string)
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def _truncate(self, s):
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if len(s) > 33:
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return s[:30] + "..."
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else:
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return s
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_Logger.DEFAULT = _Logger()
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_Logger.CURRENT = _Logger.DEFAULT
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