| |
|
|
| import torch |
|
|
| from ldm_patched.modules import args_parser |
| from ldm_patched.modules import model_management |
|
|
|
|
| def stream_context(): |
| if torch.cuda.is_available(): |
| return torch.cuda.stream |
|
|
| if model_management.is_intel_xpu(): |
| return torch.xpu.stream |
|
|
| return None |
|
|
|
|
| def get_current_stream(): |
| try: |
| if torch.cuda.is_available(): |
| device = torch.device(torch.cuda.current_device()) |
| stream = torch.cuda.current_stream(device) |
| with torch.cuda.stream(stream): |
| torch.zeros((1, 1)).to(device, torch.float32) |
| stream.synchronize() |
| return stream |
| if model_management.is_intel_xpu(): |
| device = torch.device("xpu") |
| stream = torch.xpu.current_stream(device) |
| with torch.xpu.stream(stream): |
| torch.zeros((1, 1)).to(device, torch.float32) |
| stream.synchronize() |
| return stream |
| except: |
| return None |
|
|
|
|
| def get_new_stream(): |
| try: |
| if torch.cuda.is_available(): |
| device = torch.device(torch.cuda.current_device()) |
| stream = torch.cuda.Stream(device) |
| with torch.cuda.stream(stream): |
| torch.zeros((1, 1)).to(device, torch.float32) |
| stream.synchronize() |
| return stream |
| if model_management.is_intel_xpu(): |
| device = torch.device("xpu") |
| stream = torch.xpu.Stream(device) |
| with torch.xpu.stream(stream): |
| torch.zeros((1, 1)).to(device, torch.float32) |
| stream.synchronize() |
| return stream |
| except: |
| return None |
|
|
|
|
| current_stream = None |
| mover_stream = None |
| using_stream = False |
|
|
| if args_parser.args.cuda_stream: |
| current_stream = get_current_stream() |
| mover_stream = get_new_stream() |
| using_stream = current_stream is not None and mover_stream is not None |
|
|
|
|
