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#!/usr/bin/env python3
import numpy as np
import pickle
import re
import sys
from datetime import datetime
def log(msg, accelerator=None, all_threads=False):
if accelerator is not None and all_threads:
report_proc = f" ({accelerator.process_index+1}/{accelerator.num_processes})"
else:
report_proc = ""
if accelerator is None or accelerator.is_main_process or all_threads:
sys.stderr.write(str(datetime.now()) + report_proc + ": " + msg + '\n')
def _same_line_log(msg, len_to_del=0):
"""if sys.stderr.isatty():
if len_to_del > 0:
sys.stderr.write("\b" * len_to_del)
new_len = len(msg)
sys.stderr.write(msg)
sys.stderr.flush()
return new_len
else:"""
log(msg)
def debug(msg):
pass
### log("\n(DEBUG) " + msg)
def maybe_convert(value):
try:
return int(value)
except (ValueError, TypeError):
try:
return float(value)
except (ValueError, TypeError):
return value
def get_changed_config(conf, args):
arg_dict = args.to_dict()
for kwarg in arg_dict:
if hasattr(conf, kwarg) and arg_dict[kwarg] is not None:
setattr(conf, kwarg, maybe_convert(arg_dict[kwarg]))
return conf
class SameLineLogger:
def __init__(self, epoch_len, epoch_num, data_state):
self.epoch_len = epoch_len
self.epoch_num = epoch_num
self.start_global_step = epoch_len * data_state.epoch_idx + data_state.elem_idx
self.totalx = epoch_len * epoch_num
self.log_after = []
self.log_len = 0
self.start_time = datetime.now()
def line_start(self):
_same_line_log(str(datetime.now()) + ": training batches ")
def step(self, global_batch_idx, epoch_batch_idx, epoch_idx, loss, lr, grad):
passed_time = datetime.now() - self.start_time
time_per_batch = passed_time / (global_batch_idx - self.start_global_step)
prediction = time_per_batch * (self.totalx - global_batch_idx)
msg = f"{epoch_batch_idx} / {self.epoch_len}, epoch {epoch_idx + 1} / {self.epoch_num}, loss={loss}, avg {time_per_batch}/iter, {prediction} to finish, LR={lr:.2e}, grad={grad:.2e} "
new_len = _same_line_log(msg, self.log_len)
self.log_len = new_len
def line_break(self):
sys.stderr.write("\n")
class CmdlineArgs:
def __init__(self,
description,
pos_arg_list=None,
pos_arg_types=None,
kw_arg_dict=None,
input_args=None):
self.description = description
self.raw_pos_arg_list = pos_arg_list if pos_arg_list is not None else []
self.raw_pos_arg_types = pos_arg_types \
if pos_arg_types is not None \
else [None] * len(self.raw_pos_arg_list)
self.kw_arg_dict_with_defaults = kw_arg_dict if kw_arg_dict is not None else {}
kw_vals, cmdline_values = self._to_kwargs(sys.argv[1:] if input_args is None else input_args)
self._maybe_help(cmdline_values)
self._handle_positional_args(cmdline_values)
self._handle_keyword_args(kw_vals)
@staticmethod
def _to_kwargs(arg_list):
key_args = dict(raw_entry.lstrip("-").split("=") for raw_entry in arg_list if "=" in raw_entry)
filtered_arg_list = [arg for arg in arg_list if "=" not in arg]
return key_args, filtered_arg_list
def _handle_keyword_args(self, kw_vals):
for kw in self.kw_arg_dict_with_defaults:
if kw in kw_vals:
val = self._convert_kw(kw_vals, kw)
del kw_vals[kw]
else:
val = self.kw_arg_dict_with_defaults[kw]
setattr(self, kw, val)
if kw_vals:
extra_keys = ", ".join(kw_vals.keys())
msg = f"command-line keyword arguments '{extra_keys}' are not recognized."
self._help_message_and_die(extra=msg)
def _convert_kw(self, kw_vals, kw):
if self.kw_arg_dict_with_defaults[kw] is None:
return kw_vals[kw]
else:
this_typ = type(self.kw_arg_dict_with_defaults[kw])
try:
return this_typ(kw_vals[kw])
except ValueError:
self._help_message_and_die(extra=f"could not convert '{kw_vals[kw]}' to '{this_typ}'")
def _sanity_check_pos_args(self, cmdline_values):
cmdline_len = len(cmdline_values)
if cmdline_len < len(self.raw_pos_arg_list):
self._help_message_and_die(
extra=f"positional arguments missing: {', '.join(self.raw_pos_arg_list[cmdline_len:])}")
if cmdline_len > len(self.raw_pos_arg_list):
self._help_message_and_die(
extra=f"superfluous positional arguments: {', '.join(cmdline_values[len(self.raw_pos_arg_list):])}")
def _handle_positional_args(self, cmdline_values):
self._sanity_check_pos_args(cmdline_values)
for arg, val, typ in zip(self.raw_pos_arg_list, cmdline_values, self.raw_pos_arg_types):
try:
val = val if typ is None else typ(val)
except ValueError:
self._help_message_and_die(extra=f"could not convert '{val}' to '{typ}'")
setattr(self, arg, val)
def _maybe_help(self, cmdline_values):
if len(cmdline_values) == 1 and cmdline_values[0] in {"--help", "-h", "-?"}:
self._help_message_and_die()
def _help_message_and_die(self, extra=None):
sys.stderr.write("Help message: " + self.description + "\n")
if self.raw_pos_arg_list:
args_descr = ", ".join([f"'{arg}' ({typ.__name__ if typ is not None else 'any'})"
for arg, typ in zip(self.raw_pos_arg_list, self.raw_pos_arg_types)])
sys.stderr.write(f"Positional arguments: {args_descr}\n")
if self.kw_arg_dict_with_defaults:
kw_descr = ", ".join([f"'{kw}' (default: {val})"
for kw, val in self.kw_arg_dict_with_defaults.items()])
sys.stderr.write(f"Keyword arguments: {kw_descr}\n")
if extra is not None:
sys.stderr.write("Error: " + extra + "\n")
sys.stderr.write("\n")
sys.exit(-1)
def to_dict(self):
return {k: v for k, v in self.__dict__.items()
if k not in {'description', 'raw_pos_arg_list', 'raw_pos_arg_types', 'kw_arg_dict_with_defaults'}}
def __str__(self):
return str(self.to_dict())
def __repr__(self):
return self.__str__()
if __name__ == "__main__":
for dname in sys.argv[1:]:
d = np.load(dname + "/custom_checkpoint_1.pkl", allow_pickle=True)
p = pickle.loads(d['custom_checkpoint_1/data.pkl'])
print(dname, p)
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