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Redo the PR on a properly updated branch

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kalomaze
2023-07-22 22:38:16 -05:00
parent add253b476
commit 19e5907764
1 changed files with 63 additions and 10 deletions
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73
config.py
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@@ -1,20 +1,62 @@
import argparse
import sys
import torch
import json
from multiprocessing import cpu_count
global usefp16
usefp16 = False
def use_fp32_config():
for config_file in ["32k.json", "40k.json", "48k.json"]:
with open(f"configs/{config_file}", "r") as f:
strr = f.read().replace("true", "false")
with open(f"configs/{config_file}", "w") as f:
f.write(strr)
with open("trainset_preprocess_pipeline_print.py", "r") as f:
strr = f.read().replace("3.7", "3.0")
with open("trainset_preprocess_pipeline_print.py", "w") as f:
f.write(strr)
usefp16 = False
device_capability = 0
if torch.cuda.is_available():
device = torch.device("cuda:0") # Assuming you have only one GPU (index 0).
device_capability = torch.cuda.get_device_capability(device)[0]
if device_capability >= 7:
usefp16 = True
for config_file in ["32k.json", "40k.json", "48k.json"]:
with open(f"configs/{config_file}", "r") as d:
data = json.load(d)
if "train" in data and "fp16_run" in data["train"]:
data["train"]["fp16_run"] = True
with open(f"configs/{config_file}", "w") as d:
json.dump(data, d, indent=4)
print(f"Set fp16_run to true in {config_file}")
with open("trainset_preprocess_pipeline_print.py", "r", encoding="utf-8") as f:
strr = f.read()
strr = strr.replace("3.0", "3.7")
with open("trainset_preprocess_pipeline_print.py", "w", encoding="utf-8") as f:
f.write(strr)
else:
for config_file in ["32k.json", "40k.json", "48k.json"]:
with open(f"configs/{config_file}", "r") as f:
data = json.load(f)
if "train" in data and "fp16_run" in data["train"]:
data["train"]["fp16_run"] = False
with open(f"configs/{config_file}", "w") as d:
json.dump(data, d, indent=4)
print(f"Set fp16_run to false in {config_file}")
with open("trainset_preprocess_pipeline_print.py", "r", encoding="utf-8") as f:
strr = f.read()
strr = strr.replace("3.7", "3.0")
with open("trainset_preprocess_pipeline_print.py", "w", encoding="utf-8") as f:
f.write(strr)
else:
print("CUDA is not available. Make sure you have an NVIDIA GPU and CUDA installed.")
return (usefp16, device_capability)
class Config:
def __init__(self):
@@ -29,7 +71,10 @@ class Config:
self.iscolab,
self.noparallel,
self.noautoopen,
self.paperspace,
self.is_cli,
) = self.arg_parse()
self.x_pad, self.x_query, self.x_center, self.x_max = self.device_config()
@staticmethod
@@ -47,6 +92,12 @@ class Config:
action="store_true",
help="Do not open in browser automatically",
)
parser.add_argument( # Fork Feature. Paperspace integration for web UI
"--paperspace", action="store_true", help="Note that this argument just shares a gradio link for the web UI. Thus can be used on other non-local CLI systems."
)
parser.add_argument( # Fork Feature. Embed a CLI into the infer-web.py
"--is_cli", action="store_true", help="Use the CLI instead of setting up a gradio UI. This flag will launch an RVC text interface where you can execute functions from infer-web.py!"
)
cmd_opts = parser.parse_args()
cmd_opts.port = cmd_opts.port if 0 <= cmd_opts.port <= 65535 else 7865
@@ -57,6 +108,8 @@ class Config:
cmd_opts.colab,
cmd_opts.noparallel,
cmd_opts.noautoopen,
cmd_opts.paperspace,
cmd_opts.is_cli,
)
# has_mps is only available in nightly pytorch (for now) and MasOS 12.3+.
@@ -84,9 +137,9 @@ class Config:
):
print("Found GPU", self.gpu_name, ", force to fp32")
self.is_half = False
use_fp32_config()
else:
print("Found GPU", self.gpu_name)
use_fp32_config()
self.gpu_mem = int(
torch.cuda.get_device_properties(i_device).total_memory
/ 1024