my_callbacks.MultiGPUCheckpointCallback Class Reference

Inheritance diagram for my_callbacks.MultiGPUCheckpointCallback:

Public Member Functions
def	__init__ (self, filepath, base_model, monitor='val_loss', verbose=0, save_best_only=False, save_weights_only=False, mode='auto', period=1)
def	on_epoch_end (self, epoch, logs=None)

Public Attributes
	base_model
	monitor
	verbose
	filepath
	save_best_only
	save_weights_only
	period
	epochs_since_last_save
	monitor_op
	best

Detailed Description

Definition at line 7 of file my_callbacks.py.

Constructor & Destructor Documentation

def my_callbacks.MultiGPUCheckpointCallback.__init__	(		self,
			filepath,
			base_model,
			monitor = 'val_loss',
			verbose = 0,
			save_best_only = False,
			save_weights_only = False,
			mode = 'auto',
			period = 1
	)

Definition at line 11 of file my_callbacks.py.

                 mode='auto', period=1):
        super(MultiGPUCheckpointCallback, self).__init__()
        self.base_model = base_model
        self.monitor = monitor
        self.verbose = verbose
        self.filepath = filepath
        self.save_best_only = save_best_only
        self.save_weights_only = save_weights_only
        self.period = period
        self.epochs_since_last_save = 0

        if mode not in ['auto', 'min', 'max']:
            warnings.warn('ModelCheckpoint mode %s is unknown, '
                          'fallback to auto mode.' % (mode),
                          RuntimeWarning)
            mode = 'auto'

        if mode == 'min':
            self.monitor_op = np.less
            self.best = np.Inf
        elif mode == 'max':
            self.monitor_op = np.greater
            self.best = -np.Inf
        else:
            if 'acc' in self.monitor or self.monitor.startswith('fmeasure'):
                self.monitor_op = np.greater
                self.best = -np.Inf
            else:
                self.monitor_op = np.less
                self.best = np.Inf

Member Function Documentation

def my_callbacks.MultiGPUCheckpointCallback.on_epoch_end	(		self,
			epoch,
			logs = None
	)

Definition at line 42 of file my_callbacks.py.

    def on_epoch_end(self, epoch, logs=None):

        logs = logs or {}
        self.epochs_since_last_save += 1
        if self.epochs_since_last_save >= self.period:
            self.epochs_since_last_save = 0
            filepath = self.filepath.format(epoch=epoch + 1, **logs)
            if self.save_best_only:
                current = logs.get(self.monitor)
                if current is None:
                    warnings.warn('Can save best model only with %s available, '
                                  'skipping.' % (self.monitor), RuntimeWarning)
                else:
                    if self.monitor_op(current, self.best):
                        if self.verbose > 0:
                            print('Epoch %05d: %s improved from %0.5f to %0.5f,'
                                  ' saving model to %s'
                                  % (epoch + 1, self.monitor, self.best,
                                     current, filepath))
                        self.best = current
                        if self.save_weights_only:
                            self.base_model.save_weights(filepath, overwrite=True)
                        else:
                            self.base_model.save(filepath, overwrite=True)
                    else:
                        if self.verbose > 0:
                            print('Epoch %05d: %s did not improve' %
                                  (epoch + 1, self.monitor))
            else:
                if self.verbose > 0:
                    print('Epoch %05d: saving model to %s' % (epoch + 1, filepath))
                if self.save_weights_only:
                    self.base_model.save_weights(filepath, overwrite=True)
                else:
                    self.base_model.save(filepath, overwrite=True)

Member Data Documentation

my_callbacks.MultiGPUCheckpointCallback.base_model

Definition at line 13 of file my_callbacks.py.

my_callbacks.MultiGPUCheckpointCallback.best

Definition at line 30 of file my_callbacks.py.

my_callbacks.MultiGPUCheckpointCallback.epochs_since_last_save

Definition at line 20 of file my_callbacks.py.

my_callbacks.MultiGPUCheckpointCallback.filepath

Definition at line 16 of file my_callbacks.py.

my_callbacks.MultiGPUCheckpointCallback.monitor

Definition at line 14 of file my_callbacks.py.

my_callbacks.MultiGPUCheckpointCallback.monitor_op

Definition at line 29 of file my_callbacks.py.

my_callbacks.MultiGPUCheckpointCallback.period

Definition at line 19 of file my_callbacks.py.

my_callbacks.MultiGPUCheckpointCallback.save_best_only

Definition at line 17 of file my_callbacks.py.

my_callbacks.MultiGPUCheckpointCallback.save_weights_only

Definition at line 18 of file my_callbacks.py.

my_callbacks.MultiGPUCheckpointCallback.verbose

Definition at line 15 of file my_callbacks.py.

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The documentation for this class was generated from the following file:

• dunereco/dunereco/CVN/keras_scripts/modules/my_callbacks.py