DeepLearningExamples/CUDA-Optimized/FastSpeech/fastspeech/utils/time.py
Dabi Ahn fd32b990ac [CUDA-Optimized/FastSpeech]
- support for PyTorch 1.7 and TensorRT 7.2
- limit sample audio file length
2020-11-02 21:17:00 +08:00

55 lines
2.4 KiB
Python

# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
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import time
import torch
from fastspeech.utils.logging import tprint
class TimeElapsed(object):
def __init__(self, name, device='cuda', cuda_sync=False, format=""):
self.name = name
self.device = device
self.cuda_sync = cuda_sync
self.format = format
def __enter__(self):
self.start()
def __exit__(self, *exc_info):
self.end()
def start(self):
if self.device == 'cuda' and self.cuda_sync:
torch.cuda.synchronize()
self.start_time = time.time()
def end(self):
if not hasattr(self, "start_time"):
return
if self.device == 'cuda' and self.cuda_sync:
torch.cuda.synchronize()
self.end_time = time.time()
self.time_elapsed = self.end_time - self.start_time
tprint(("[{}] Time elapsed: {" + self.format + "}").format(self.name, self.time_elapsed))