Inheritance diagram for model.WaveGlow:

Collaboration diagram for model.WaveGlow:

Public Member Functions
def	__init__ (self, n_mel_channels, n_flows, n_group, n_early_every, n_early_size, WN_config)

def	forward (self, forward_input)

def	infer (self, spect, sigma=1.0)

Static Public Member Functions
def	remove_weightnorm (model)

Public Attributes
	upsample

	n_flows

	n_group

	n_early_every

	n_early_size

	WN

	convinv

	n_remaining_channels

Constructor & Destructor Documentation

◆ init()

def model.WaveGlow.__init__	(	self,
		n_mel_channels,
		n_flows,
		n_group,
		n_early_every,
		n_early_size,
		WN_config
	)

Member Function Documentation

◆ forward()

def model.WaveGlow.forward	(	self,
		forward_input
	)

forward_input[0] = mel_spectrogram:  batch x n_mel_channels x frames
forward_input[1] = audio: batch x time

◆ infer()

def model.WaveGlow.infer	(	self,
		spect,
		sigma = `1.0`
	)

◆ remove_weightnorm()

def model.WaveGlow.remove_weightnorm ( model )

static

Member Data Documentation

◆ upsample

model.WaveGlow.upsample

◆ n_flows

model.WaveGlow.n_flows

◆ n_group

model.WaveGlow.n_group

◆ n_early_every

model.WaveGlow.n_early_every

◆ n_early_size

model.WaveGlow.n_early_size

◆ WN

model.WaveGlow.WN

◆ convinv

model.WaveGlow.convinv

◆ n_remaining_channels

model.WaveGlow.n_remaining_channels

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

demo/Tacotron2/waveglow/model.py

Public Member Functions

Static Public Member Functions

Public Attributes