Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

TextToSpeech to utilize passed device arg #249

Open
wants to merge 3 commits into
base: main
Choose a base branch
from
Open

TextToSpeech to utilize passed device arg #249

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
f309586
TextToSpeech to utilize passed device arg
laszukdawid Jan 14, 2023
4de0c42
Explicit logging if device isn't set
laszukdawid May 25, 2023
c6088aa
Isolate device setter with loud warning
laszukdawid May 25, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
11 changes: 10 additions & 1 deletion tortoise/api.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@
import logging
import os
import random
import uuid
Expand Down Expand Up @@ -213,7 +214,7 @@ def __init__(self, autoregressive_batch_size=None, models_dir=MODELS_DIR, enable
self.models_dir = models_dir
self.autoregressive_batch_size = pick_best_batch_size_for_gpu() if autoregressive_batch_size is None else autoregressive_batch_size
self.enable_redaction = enable_redaction
self.device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
self._set_device(device)
if self.enable_redaction:
self.aligner = Wav2VecAlignment()

Expand Down Expand Up @@ -250,6 +251,14 @@ def __init__(self, autoregressive_batch_size=None, models_dir=MODELS_DIR, enable
self.rlg_auto = None
self.rlg_diffusion = None

def _set_device(self, device):
if device is None:
logging.warning("No device specified. This will default to the first GPU if available, otherwise CPU.")
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
if device == 'cpu' or (isinstance(device, torch.device) and device.type == 'cpu'):
logging.warning("Running on CPU. This will be painfully slow. You've been warned.")
self.device = device

def load_cvvp(self):
"""Load CVVP model."""
self.cvvp = CVVP(model_dim=512, transformer_heads=8, dropout=0, mel_codes=8192, conditioning_enc_depth=8, cond_mask_percentage=0,
Expand Down