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run_functions.py
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import os
import traceback
import docker
import yaml
import numpy as np
from datetime import datetime, timedelta
import multiprocessing
import json
from pathlib import Path
from PySide6 import QtCore, QtWidgets
from PySide6.QtCore import Qt, QObject, QUrl
from PySide6.QtGui import QPixmap
from PySide6.QtWidgets import *
from ui_utils import get_text, resource_path, path_in_list, path_to_linux
from biapy.biapy_check_configuration import convert_old_model_cfg_to_current_version
from ui.ui_run import Ui_RunBiaPy
from ui.aux_windows import yes_no_Ui
class runBiaPy_Ui(QDialog):
def __init__(self, parent_worker):
super(runBiaPy_Ui, self).__init__()
self.run_window = Ui_RunBiaPy()
self.parent_worker = parent_worker
self.run_window.setupUi(self)
self.setWindowFlags(QtCore.Qt.FramelessWindowHint)
self.run_window.bn_min.clicked.connect(self.showMinimized)
self.run_window.bn_close.clicked.connect(self.close)
self.run_window.bn_close.setIcon(self.style().standardIcon(QStyle.StandardPixmap.SP_TitleBarCloseButton))
self.run_window.bn_min.setIcon(self.style().standardIcon(QStyle.StandardPixmap.SP_TitleBarMinButton))
self.run_window.icon_label.setPixmap(QPixmap(resource_path(os.path.join("images","bn_images","info.png"))))
self.run_window.return_icon_label.setPixmap(QPixmap(resource_path(os.path.join("images","bn_images","return_icon.png"))))
self.run_window.return_icon_label_2.setPixmap(QPixmap(resource_path(os.path.join("images","bn_images","return_icon.png"))))
self.run_window.window_des_label.setText(" Running information")
self.run_window.stop_container_bn.clicked.connect(lambda: self.parent_worker.stop_worker())
self.run_window.container_state_label.setText("BiaPy state [ Initializing ]")
self.run_window.train_progress_bar.setValue(0)
self.run_window.test_progress_bar.setValue(0)
self.setStyleSheet("#centralwidget{ border: 1px solid black;} QWidget{ font-size:16px;}")
self.dragPos = self.pos()
def movedialogWindow(event):
if event.buttons() == Qt.LeftButton:
self.move(self.pos() + event.globalPos() - self.dragPos)
self.dragPos = event.globalPos()
event.accept()
self.run_window.frame_top.mouseMoveEvent = movedialogWindow
self.yes_no = yes_no_Ui()
self.forcing_close = False
self.pulling_terminal_buffer = []
self.run_window.biapy_image_downloading_progress_bar.setMaximum(100)
self.run_window.biapy_image_extracting_progress_bar.setMaximum(100)
def center_window(self, widget, geometry):
window = widget.window()
window.setGeometry(
QtWidgets.QStyle.alignedRect(
QtCore.Qt.LeftToRight,
QtCore.Qt.AlignCenter,
window.size(),
geometry,
),
)
def closeEvent(self, event):
if self.forcing_close:
self.kill_all_processes()
else:
if "run" in self.parent_worker.process_steps:
m = "Are you sure that you want to exit? Running container will be stopped"
elif "pull" in self.parent_worker.process_steps:
m = "Are you sure that you want to exit? Container's pulling process will be stopped"
else:
m = "Are you sure that you want to exit?"
self.yes_no.create_question(m)
self.center_window(self.yes_no, self.geometry())
self.yes_no.exec_()
if self.yes_no.answer:
self.kill_all_processes()
else:
event.ignore()
def kill_all_processes(self):
self.parent_worker.stop_worker()
try:
self.parent_worker.finished_signal.emit()
except Exception as e:
self.parent_worker.main_gui.logger.error(f"Possible expected error during BiaPy's running thread deletion: {e}")
self.close()
def init_log(self, container_info):
self.run_window.biapy_container_info_label.setText(container_info)
self.run_window.run_biapy_log.setText(' ')
def update_gui(self, signal):
# Initialize the GUI
if signal == 0:
self.parent_worker.init_gui()
elif signal == 1:
self.update_log()
else:
self.parent_worker.main_gui.logger.info("Nothing")
def update_log(self):
finished_good = False
with open(self.parent_worker.container_stdout_file, 'r', encoding='utf8') as f:
last_lines = f.readlines()[-20:]
last_lines = ''.join(last_lines).replace("\x08", "").replace("[A", "").replace("", "")
self.run_window.run_biapy_log.setText(str(last_lines))
if "FINISHED JOB" in last_lines:
finished_good = True
if finished_good:
self.update_cont_state(0)
else:
self.update_cont_state(1)
def update_cont_state(self, svalue):
st = "unknown"
if svalue == 1:
if self.parent_worker.biapy_container is not None:
try:
self.parent_worker.biapy_container.reload()
except Exception as e:
self.parent_worker.main_gui.logger.error(f"Possible expected error during container status reload(): {e}")
st = self.parent_worker.biapy_container.status
if st == "running":
st = "<span style=\"color:green;\">R"+st[1:]+"</span>"
elif st == "exited":
st = "<span style=\"color:red;\">E"+st[1:]+"</span>"
self.run_window.stop_container_bn.setEnabled(False)
elif st == "created":
st = "<span style=\"color:orange;\">C"+st[1:]+"</span>"
# When the signal is 0 the container has finished good
else:
st = "finished"
self.run_window.stop_container_bn.setEnabled(False)
self.run_window.container_state_label.setText("Container state [ {} ]".format(st))
def update_train_progress(self, value):
self.run_window.train_progress_bar.setValue(value)
self.run_window.train_epochs_label.setText("<html><head/><body><p align=\"center\"><span \
style=\"font-size:12pt;\">Epochs</span></p><p align=\"center\"><span \
style=\"font-size:12pt;\">"+"{}/{}".format(self.parent_worker.epoch_count, \
self.parent_worker.total_epochs)+"</span></p></body></html>")
def update_test_progress(self, value):
self.run_window.test_progress_bar.setValue(value)
self.run_window.test_files_label.setText("<html><head/><body><p align=\"center\"><span \
style=\"font-size:12pt;\">Files</span></p><p align=\"center\"><span \
style=\"font-size:12pt;\">"+"{}/{}".format(self.parent_worker.test_image_count, \
self.parent_worker.test_files)+"</span></p></body></html>")
def update_pulling_progress(self, d_value, e_value, item):
# Download process
self.run_window.biapy_image_downloading_progress_bar.setMaximum(max(10,len(self.parent_worker.download_total_layers)*10))
self.run_window.biapy_image_downloading_progress_bar.setValue(d_value)
# Extracting process
self.run_window.biapy_image_extracting_progress_bar.setMaximum(max(10,len(self.parent_worker.extract_total_layers)*10))
self.run_window.biapy_image_extracting_progress_bar.setValue(e_value)
# Update terminal-like label
self.pulling_terminal_buffer.append(item)
if len(self.pulling_terminal_buffer) > 23:
self.pulling_terminal_buffer.pop(0)
self.run_window.run_biapy_log.setText("\n".join(self.pulling_terminal_buffer))
def pulling_progress(self, value):
if value == 0: # Start of the pulling process
self.run_window.image_prep_title_label.setVisible(True)
self.run_window.image_prep_title_label.setText("Preparing BiaPy image (only done once) - Total size: {}"
.format(self.parent_worker.main_gui.cfg.settings['biapy_container_size']))
self.run_window.biapy_image_status.setText("BiaPy image [ <span style=\"color:orange;\"> Pulling </span> ]")
self.run_window.container_pulling_frame.setVisible(True)
self.run_window.biapy_container_info_label.setText("Please wait for the image to download fully. Occasionally, parts of the container may be downloaded twice, causing the progress bar to move backward slightly.")
self.run_window.terminal_upper_label.setText("Downloading and unpacking log")
else: # end
self.run_window.container_pulling_frame.setVisible(False)
self.run_window.image_prep_title_label.setVisible(False)
self.run_window.biapy_image_status.setText("BiaPy image [ <span style=\"color:green;\">Downloaded</span> ]")
self.run_window.biapy_container_info_label.setText("INITIALIZING . . . (this may take a while)")
self.run_window.run_biapy_log.setText("Please wait, the first screen update may take a while depending on your OS")
self.run_window.terminal_upper_label.setText("Last lines of the log (updating every 3 seconds):")
def mousePressEvent(self, event):
self.dragPos = event.globalPos()
class run_worker(QObject):
# Signal to indicate the main thread that the worker has finished
finished_signal = QtCore.Signal()
# Signal to indicate the main thread to update the log frame (1) or init the GUI (0, this last is done just one time)
update_log_signal = QtCore.Signal(int)
# Signal to indicate the main thread to update the GUI with a finish message according to the container state. If
# the log file contains a last message of BiaPy such as "FINISHED JOB" the execution finished without errors and
# the state will be "finished" (0). Otherwise, a 1 is sent and "running", "created" or "exited" will be displayed.
update_cont_state_signal = QtCore.Signal(int)
# Signal to indicate the main thread to update the GUI with the new progress of the training phase
update_train_progress_signal = QtCore.Signal(int)
# Signal to indicate the main thread to update the GUI with the new progress of the test phase
update_test_progress_signal = QtCore.Signal(int)
# Signal to indicate the main thread to update the GUI to advice user in the pulling process steps
update_pulling_signal = QtCore.Signal(int)
# Signal to indicate the main thread to update the GUI with the pulling progress
update_pulling_progress_signal = QtCore.Signal(int, int, str)
def __init__(self, main_gui, config, container_name, worker_id, output_folder, user_host, use_gpu, use_local_biapy_image):
super(run_worker, self).__init__()
self.main_gui = main_gui
self.config = config
self.container_name = container_name
self.worker_id = worker_id
self.output_folder_in_host = output_folder
self.windows_os = True if "win" in self.main_gui.cfg.settings['os_host'].lower() else False
self.user_host = user_host
self.use_gpu = use_gpu
self.gui = runBiaPy_Ui(self)
self.gui.open()
self.docker_client = docker.from_env()
self.biapy_container = None
self.container_info = 'NONE'
self.process_steps = "NONE"
self.break_pulling = False
self.use_local_biapy_image = use_local_biapy_image
def stop_worker(self):
self.main_gui.logger.info("Stopping the container . . . ")
if self.biapy_container is not None:
self.biapy_container.stop(timeout=1)
try:
self.update_cont_state_signal.emit(1)
except Exception as e:
self.main_gui.logger.error(f"Possible expected error during BiaPy's running thread deletion: {e}")
self.gui.run_window.stop_container_bn.setEnabled(False)
self.gui.run_window.test_progress_label.setEnabled(False)
self.gui.run_window.test_progress_bar.setEnabled(False)
self.gui.run_window.test_files_label.setEnabled(False)
self.gui.run_window.train_progress_label.setEnabled(False)
self.gui.run_window.train_progress_bar.setEnabled(False)
self.gui.run_window.train_epochs_label.setEnabled(False)
else:
self.main_gui.logger.info("Container not running yet")
# To kill pulling process if it is running
self.break_pulling = True
def init_gui(self):
self.gui.init_log(self.container_info)
if self.config['TRAIN']['ENABLE']:
self.gui.run_window.train_epochs_label.setText("<html><head/><body><p align=\"center\"><span \
style=\"font-size:12pt;\">Epochs</span></p><p align=\"center\"><span \
style=\"font-size:12pt;\">"+"-/{}".format(self.total_epochs)+\
"</span></p></body></html>")
if self.config['TEST']['ENABLE']:
self.gui.run_window.test_files_label.setText("<html><head/><body><p align=\"center\"><span \
style=\"font-size:12pt;\">Files</span></p><p align=\"center\"><span \
style=\"font-size:12pt;\">"+"-/{}".format(self.test_files)+\
"</span></p></body></html>")
def run(self):
f = None
try:
###########
# PULLING #
###########
self.update_pulling_signal.emit(0)
self.process_steps = "pulling"
# Collect the output of the container and update the GUI
self.download_total_layers = {}
self.extract_total_layers = {}
problem_attempts = 0
json_orig_data = None
if self.use_local_biapy_image:
self.main_gui.logger.info("Using local BiaPy image")
self.docker_client = docker.from_env() # Necessary
else:
while problem_attempts < 4:
try:
self.main_gui.logger.info("Pulling container . . .")
self.docker_client = docker.from_env() # Necessary
for item in self.docker_client.api.pull(self.main_gui.cfg.settings['biapy_container_name'], stream=True, decode=True):
self.main_gui.logger.info(item)
if item["status"] == 'Pulling fs layer':
self.download_total_layers[item["id"]+"_download"] = 0
self.extract_total_layers[item["id"]+"_extract"] = 0
elif item["status"] == "Downloading":
self.download_total_layers[item["id"]+"_download"] = item["progressDetail"]['current']/item["progressDetail"]['total']
elif item["status"] == "Extracting":
self.extract_total_layers[item["id"]+"_extract"] = item["progressDetail"]['current']/item["progressDetail"]['total']
elif item["status"] == 'Download complete':
self.download_total_layers[item["id"]+"_download"] = 1
elif item["status"] == "Pull complete":
self.extract_total_layers[item["id"]+"_extract"] = 1
if self.break_pulling:
self.main_gui.logger.info("Stopping pulling process . . .")
return
# Update GUI
d_steps = np.sum([int(float(x)*10) for x in self.download_total_layers.values()])
e_steps = np.sum([int(float(x)*10) for x in self.extract_total_layers.values()])
self.update_pulling_progress_signal.emit(d_steps, e_steps, str(item))
except Exception as e:
problem_attempts += 1
self.main_gui.logger.error(f"Error pulling the container: {e}")
self.main_gui.logger.info(f"Trying to modify ~/.docker/config.json - (attempt {problem_attempts})")
# Attempt 1: trying to change the values of "credsStore" and some possible typos as documented in
# the issue: https://github.com/docker/for-mac/issues/3785#issuecomment-518328553
if problem_attempts == 1:
try:
with open(Path.home() / ".docker" / "config.json", "r", encoding='utf8') as jsonFile:
data = json.load(jsonFile)
json_orig_data = data.copy()
# Possible typo
if "credSstore" in data:
val = data["credSstore"]
del data["credSstore"]
data["credsStore"] = val
# Change credsStore value
if "credsStore" in data:
val = data["credsStore"]
data["credsStore"] = "osxkeychain" if "desktop" in val else "desktop"
with open(Path.home() / ".docker" / "config.json", "w", encoding='utf8') as jsonFile:
json.dump(data, jsonFile, indent=4)
except Exception as e:
self.main_gui.logger.error(f"Error modifying ~/.docker/config.json file (attempt 1): {e}")
# Attempt 2: remove "credsStore" key
elif problem_attempts == 2:
try:
with open(Path.home() / ".docker" / "config.json", "r", encoding='utf8') as jsonFile:
data = json.load(jsonFile)
# Delete credsStore directly
if "credsStore" in data:
del data["credsStore"]
with open(Path.home() / ".docker" / "config.json", "w", encoding='utf8') as jsonFile:
json.dump(data, jsonFile, indent=4)
except Exception as e:
self.main_gui.logger.error(f"Error modifying ~/.docker/config.json file (attempt 2): {e}")
# Attempt 3: rename the file
else:
try:
os.rename(Path.home() / ".docker" / "config.json", Path.home() / ".docker" / "config.json.backup")
except Exception as e:
self.main_gui.logger.error(f"Error modifying ~/.docker/config.json file (attempt 3): {e}")
else:
self.main_gui.logger.info(f"No errors pulling, continuing . . .")
problem_attempts = 10 # break the loop
# Revert configuration ~/.docker/config.json configuration
if json_orig_data is not None:
if os.path.exists(Path.home() / ".docker" / "config.json.backup"):
os.rename(Path.home() / ".docker" / "config.json.backup", Path.home() / ".docker" / "config.json")
with open(Path.home() / ".docker" / "config.json", "w", encoding='utf8') as jsonFile:
json.dump(json_orig_data, jsonFile, indent=4)
self.update_pulling_signal.emit(1)
#################
# RUN CONTAINER #
#################
now = datetime.now()
dt_string = now.strftime("%Y%m%d_%H%M%S")
jobname = get_text(self.main_gui.ui.job_name_input)
self.process_steps = "pre-running"
# Paths definition
# Need to create a new copy of the input config file to adapt Windows paths to linux (container's OS)
cfg_file = get_text(self.main_gui.ui.select_yaml_name_label).replace('\\','/')
container_out_dir_in_host = os.path.normpath(os.path.join(self.output_folder_in_host, jobname))
self.container_stdout_file = os.path.normpath(os.path.join(container_out_dir_in_host, jobname+"_out_"+dt_string))
self.container_stderr_file = os.path.normpath(os.path.join(container_out_dir_in_host, jobname+"_err_"+dt_string))
self.container_plots_folder = os.path.normpath(os.path.join(container_out_dir_in_host, "results", jobname+"_1", "charts"))
self.container_bmz_folder = os.path.normpath(os.path.join(container_out_dir_in_host, "results", jobname+"_1", "BMZ_files"))
self.output_folder_in_container = path_to_linux(self.output_folder_in_host, self.main_gui.cfg.settings['os_host'])
cfg_input = os.path.join(container_out_dir_in_host, "input_config")
real_cfg_input = os.path.join(cfg_input, "input"+dt_string+".yaml")
os.makedirs(cfg_input, exist_ok=True)
# Read the configuration file
with open(cfg_file, "r", encoding='utf8') as stream:
try:
temp_cfg = yaml.safe_load(stream)
except yaml.YAMLError as exc:
self.main_gui.logger.error(exc)
dist_backend = "gloo" if self.windows_os else "nccl"
command = ["--config", "/BiaPy_files/input.yaml", "--result_dir", "{}".format(self.output_folder_in_container),
"--name", "{}".format(jobname), "--run_id", "1", "--dist_backend", f"{dist_backend}"]
gpus = " "
device = get_text(self.main_gui.ui.device_input)
if self.use_gpu:
gpus = device.split()[1] # As the format is "GPU 0 : NVIDIA RTX ..."
command += ["--gpu", gpus]
# Limit a bit the proccesses used in Docker if it's using a GPU, as multiGPU is not supported yet through the GUI
if self.use_gpu:
cpu_count = min(multiprocessing.cpu_count(), 5)
else:
cpu_count = get_text(self.main_gui.ui.SYSTEM__NUM_CPUS__INPUT)
cpu_count = multiprocessing.cpu_count() if cpu_count == "All" else int(cpu_count)
shm_size = f"{128*cpu_count}m"
# dist_backend = "gloo" if self.windows_os else "nccl"
# command = ["-c", f"from biapy import BiaPy; BiaPy( '/BiaPy_files/input.yaml', result_dir='{self.output_folder_in_container}', name='{jobname}', run_id=1, dist_backend='{dist_backend}'"]
# gpus = " "
# if self.use_gpu:
# gpus = self.main_gui.ui.device_input.currentData()
# gpus = [int(x[0]) for x in gpus]
# gpus = ','.join(str(x) for x in gpus)
# command[-1] += f", gpu='{gpus}'"
# command[-1] += ")"
# Docker mount points
volumes = {}
volumes[real_cfg_input] = {"bind": "/BiaPy_files/input.yaml", "mode": "ro"}
# To debug with local BiaPy copy
# volumes["/data/dfranco/BiaPy"] = {"bind": "/installations/BiaPy", "mode": "ro"}
volumes[str(Path.home())] = {"bind": "/home/user", "mode": "rw"} # Bind user's home into /home/user
volumes[self.output_folder_in_host] = {"bind": self.output_folder_in_container, "mode": "rw"}
paths = []
paths.append(self.output_folder_in_container)
mode = "rw" if self.config['PROBLEM']['TYPE'] in ['INSTANCE_SEG', 'DETECTION', 'SELF_SUPERVISED'] else "ro"
paths_message = ""
if self.config['TRAIN']['ENABLE']: # mirar los paths que se repiten y bindear solo uan vez, si no error
self.total_epochs = int(self.config['TRAIN']['EPOCHS'])
self.gui.run_window.train_progress_bar.setMaximum(self.total_epochs)
# Train path
p = os.path.realpath(os.path.join(self.config['DATA']['TRAIN']['PATH'], '..'))
p = path_to_linux(p, self.main_gui.cfg.settings['os_host'])
if not path_in_list(paths,p):
paths.append(p)
volumes[p] = {"bind": p, "mode": mode}
p = path_to_linux(self.config['DATA']['TRAIN']['PATH'], self.main_gui.cfg.settings['os_host'])
temp_cfg['DATA']['TRAIN']['PATH'] = p
paths_message += "<tr><td>Train raw image path </td><td>{}</td></tr>".format(
self.config['DATA']['TRAIN']['PATH']
)
# Train GT path
if self.config['PROBLEM']['TYPE'] not in ["DENOISING", "CLASSIFICATION", "SELF_SUPERVISED"]:
p = os.path.realpath(os.path.join(self.config['DATA']['TRAIN']['GT_PATH'], '..'))
p = path_to_linux(p, self.main_gui.cfg.settings['os_host'])
if not path_in_list(paths,p):
paths.append(p)
volumes[p] = {"bind": p, "mode": mode}
p = path_to_linux(self.config['DATA']['TRAIN']['GT_PATH'], self.main_gui.cfg.settings['os_host'])
temp_cfg['DATA']['TRAIN']['GT_PATH'] = p
paths_message += "<tr><td>Train target path </td><td>{}</td></tr>".format(
self.config['DATA']['TRAIN']['GT_PATH']
)
if not self.config['DATA']['VAL']['FROM_TRAIN']:
# Val path
p = os.path.realpath(os.path.join(self.config['DATA']['VAL']['PATH'], '..'))
p = path_to_linux(p, self.main_gui.cfg.settings['os_host'])
if not path_in_list(paths,p):
paths.append(p)
volumes[p] = {"bind": p, "mode": mode}
p = path_to_linux(self.config['DATA']['VAL']['PATH'], self.main_gui.cfg.settings['os_host'])
temp_cfg['DATA']['VAL']['PATH'] = p
paths_message += "<tr><td>Validation raw image path </td><td>{}</td></tr>".format(
self.config['DATA']['VAL']['PATH']
)
# Val GT path
if self.config['PROBLEM']['TYPE'] not in ["DENOISING", "CLASSIFICATION", "SELF_SUPERVISED"]:
p = os.path.realpath(os.path.join(self.config['DATA']['VAL']['GT_PATH'], '..'))
p = path_to_linux(p, self.main_gui.cfg.settings['os_host'])
if not path_in_list(paths,p):
paths.append(p)
volumes[p] = {"bind": p, "mode": mode}
p = path_to_linux(self.config['DATA']['VAL']['GT_PATH'], self.main_gui.cfg.settings['os_host'])
temp_cfg['DATA']['VAL']['GT_PATH'] = p
paths_message += "<tr><td>Validation target path </td><td>{}</td></tr>".format(
self.config['DATA']['VAL']['GT_PATH']
)
else:
self.gui.run_window.train_progress_label.setVisible(False)
self.gui.run_window.train_progress_bar.setVisible(False)
self.gui.run_window.train_epochs_label.setVisible(False)
if self.config['TEST']['ENABLE'] and not self.config['DATA']['TEST']['USE_VAL_AS_TEST']:
# Test path
p = os.path.realpath(os.path.join(self.config['DATA']['TEST']['PATH'], '..'))
p = path_to_linux(p, self.main_gui.cfg.settings['os_host'])
if not path_in_list(paths,p):
paths.append(p)
volumes[p] = {"bind": p, "mode": mode}
p = path_to_linux(self.config['DATA']['TEST']['PATH'], self.main_gui.cfg.settings['os_host'])
temp_cfg['DATA']['TEST']['PATH'] = p
paths_message += "<tr><td>Test raw image path </td><td>{}</td></tr>".format(
self.config['DATA']['TEST']['PATH']
)
if self.config['DATA']['TEST']['LOAD_GT'] and self.config['PROBLEM']['TYPE'] not in ["DENOISING", "CLASSIFICATION", "SELF_SUPERVISED"]:
# Test GT path
p = os.path.realpath(os.path.join(self.config['DATA']['TEST']['GT_PATH'], '..'))
p = path_to_linux(p, self.main_gui.cfg.settings['os_host'])
if not path_in_list(paths,p):
paths.append(p)
volumes[p] = {"bind": p, "mode": mode}
p = path_to_linux(self.config['DATA']['TEST']['GT_PATH'], self.main_gui.cfg.settings['os_host'])
temp_cfg['DATA']['TEST']['GT_PATH'] = p
paths_message += "<tr><td>Test target path </td><td>{}</td></tr>".format(
self.config['DATA']['TEST']['GT_PATH']
)
if self.config['MODEL']['LOAD_CHECKPOINT']:
p = os.path.realpath(os.path.join(self.config['PATHS']['CHECKPOINT_FILE'], '..'))
p = path_to_linux(p, self.main_gui.cfg.settings['os_host'])
if not path_in_list(paths,p):
paths.append(p)
volumes[p] = {"bind": p, "mode": "ro"}
p = path_to_linux(self.config['PATHS']['CHECKPOINT_FILE'], self.main_gui.cfg.settings['os_host'])
if 'PATHS' not in temp_cfg:
temp_cfg['PATHS'] = {}
temp_cfg['PATHS']['CHECKPOINT_FILE'] = p
if not self.config['TEST']['ENABLE']:
self.gui.run_window.test_progress_label.setVisible(False)
self.gui.run_window.test_progress_bar.setVisible(False)
self.gui.run_window.test_files_label.setVisible(False)
else:
self.test_filenames = sorted(next(os.walk(self.config['DATA']['TEST']['PATH']))[2])
self.test_files = len(sorted(next(os.walk(self.config['DATA']['TEST']['PATH']))[2]))
self.gui.run_window.test_progress_bar.setMaximum(self.test_files)
self.main_gui.logger.info("Creating temporal input YAML file")
temp_cfg = convert_old_model_cfg_to_current_version(temp_cfg)
with open(real_cfg_input, 'w', encoding='utf8') as outfile:
yaml.dump(temp_cfg, outfile, default_flow_style=False)
if self.use_gpu:
device_requests = [ docker.types.DeviceRequest(count=-1, capabilities=[['gpu']]) ]
else:
device_requests = None
# Run container
# check_command = [ "python3", "-u", "-c", "'import torch; print(torch.cuda.is_available())'"]
self.main_gui.logger.info(f"Command: {command}")
self.main_gui.logger.info(f"Volumes: {volumes}")
self.main_gui.logger.info(f"GPU (IDs): {gpus}")
self.main_gui.logger.info(f"CPUs: {cpu_count}")
self.main_gui.logger.info(f"GUI version: {self.main_gui.cfg.settings['biapy_gui_version']}")
nofile_limit = docker.types.Ulimit(name='nofile', soft=10000, hard=10000)
try:
self.biapy_container = self.docker_client.containers.run(
self.container_name,
# entrypoint=[ "/bin/bash", "-l", "-c" ],
command=command,
detach=True,
volumes=volumes,
user=self.user_host if not self.windows_os else None,
device_requests=device_requests,
shm_size=shm_size,
ulimits=[nofile_limit],
nano_cpus=1000000000*cpu_count,
cpu_count=cpu_count,
)
except Exception as e:
self.main_gui.logger.error(f"Error while starting to run BiaPy: {e}")
self.process_steps = "running"
self.main_gui.logger.info("Container created!")
workflow_name = self.main_gui.cfg.settings["workflow_names"][self.main_gui.cfg.settings["workflow_key_names"].index(self.config['PROBLEM']['TYPE'])]
workflow_name = workflow_name.replace("\n"," ")
# Set the window header
try:
bmz_export_enabled = self.config['MODEL']['BMZ']['EXPORT']['ENABLE']
except:
bmz_export_enabled = False
if bmz_export_enabled:
bmz_message = "<tr><td>BioImage Model Zoo file folder</td><td><a href={}>{}</a></td></tr>".format(
bytearray(QUrl.fromLocalFile(self.container_bmz_folder).toEncoded()).decode(), self.container_bmz_folder,
)
else:
bmz_message = ""
self.container_info = \
"<b>BiaPy container ({} - ID: {})</b><br>\
<table>\
<tr><td>Start date</td><td>{}</td></tr>\
<tr><td>Jobname</td><td>{}</td></tr>\
<tr><td>YAML</td><td><a href={}>{}</a></td></tr>\
<tr><td>Device</td><td>{}</td></tr>\
<tr><td>Output folder</td><td><a href={}>{}</a></td></tr>\
<tr><td>Training plots folder</td><td><a href={}>{}</a></td></tr>\
{}\
<tr><td>Output log</td><td><a href={}>{}</a></td></tr>\
<tr><td>Error log</td><td><a href={}>{}</a></td></tr>\
{}\
</table>"\
.format(
str(self.biapy_container.image).replace('<','').replace('>',''), self.biapy_container.short_id,
now.strftime("%Y/%m/%d %H:%M:%S"),
jobname + " (" + self.config['PROBLEM']['NDIM'] + " " + workflow_name + ")",
bytearray(QUrl.fromLocalFile(get_text(self.main_gui.ui.select_yaml_name_label)).toEncoded()).decode(), get_text(self.main_gui.ui.select_yaml_name_label),
device,
bytearray(QUrl.fromLocalFile(container_out_dir_in_host).toEncoded()).decode(), container_out_dir_in_host,
bytearray(QUrl.fromLocalFile(self.container_plots_folder).toEncoded()).decode(), self.container_plots_folder,
bmz_message,
bytearray(QUrl.fromLocalFile(self.container_stdout_file).toEncoded()).decode(), self.container_stdout_file,
bytearray(QUrl.fromLocalFile(self.container_stderr_file).toEncoded()).decode(), self.container_stderr_file,
paths_message,
)
self.update_log_signal.emit(0)
# Log the output in a file
f = open(self.container_stderr_file, "x", encoding='utf8')
f.close()
f = open(self.container_stdout_file, "w", encoding='utf8')
f.write("#########################################################\n")
f.write(self.container_info.replace("<tr><td>", "").replace("</td><td>", ": ").replace("</td></tr>", "")\
.replace("<table>", "\n").replace("</table>", "\n").replace('<b>','').replace('</b>','').replace('<br>','').strip())
f.write("#########################################################\n")
f.write(f"Command: {command}")
f.write("#########################################################\n")
f.write(f"Volumes: {volumes}")
f.write("#########################################################\n")
f.write(f"GUI version: {self.main_gui.cfg.settings['biapy_gui_version']}")
if self.use_gpu:
f.write(f"GPU: {gpus}")
f.write(f"CPUs: {cpu_count}")
f.write("#########################################################\n")
# Collect the output of the container and update the GUI
last_write = datetime.now()
self.epoch_count = 0
self.test_image_count = 0
start_test = False
for log in self.biapy_container.logs(stream=True):
l = log.decode("utf-8")
try:
self.main_gui.logger.info(l.encode("utf-8") if self.windows_os else l, end="")
except:
pass
try:
f.write(l)
f.flush()
except:
pass
# Update training progress bar
if self.config['TRAIN']['ENABLE'] and "Epoch {}/{}".format(self.epoch_count+1,self.total_epochs) in l:
self.epoch_count += 1
self.update_train_progress_signal.emit(self.epoch_count)
# Activate test phase. This is used to not let the test if below check if "Processing .." string is in the log output
# continuously and reduce the computation.
if "# INFERENCE #" in l:
start_test = True
self.gui.run_window.test_progress_label.setEnabled(True)
self.gui.run_window.test_progress_bar.setEnabled(True)
self.gui.run_window.test_files_label.setEnabled(True)
if self.config['TRAIN']['ENABLE']:
self.gui.run_window.train_progress_label.setEnabled(False)
self.gui.run_window.train_progress_bar.setEnabled(False)
self.gui.run_window.train_epochs_label.setEnabled(False)
# Update test progress bar
if self.config['TEST']['ENABLE'] and start_test and self.test_image_count < self.test_files and \
"Processing image: {}".format(self.test_filenames[self.test_image_count]) in l:
self.test_image_count += 1
self.update_test_progress_signal.emit(self.test_image_count)
if datetime.now() - last_write > timedelta(seconds=3):
self.update_log_signal.emit(1)
last_write = datetime.now()
self.update_log_signal.emit(1)
if self.config['TEST']['ENABLE']:
self.gui.run_window.test_progress_label.setEnabled(False)
self.gui.run_window.test_progress_bar.setEnabled(False)
self.gui.run_window.test_files_label.setEnabled(False)
self.process_steps = "finished"
f.close()
self.finished_signal.emit()
except:
# Print first the traceback (only visible through terminal)
self.main_gui.logger.error(traceback.format_exc())
# Try to log the error in the error file
ferr = open(self.container_stderr_file, "w", encoding='utf8')
ferr.write("#########################################################\n")
ferr.write(self.container_info+"\n")
ferr.write("#########################################################\n")
ferr.write(traceback.format_exc())
ferr.close()
if f is not None: f.close()
self.finished_signal.emit()