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https://github.com/lllyasviel/stable-diffusion-webui-forge.git
synced 2026-01-26 19:09:45 +00:00
implement stream in new backend
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@@ -1,7 +1,7 @@
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import torch
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import contextlib
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from modules_forge import stream
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from backend import stream
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stash = {}
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67
backend/stream.py
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67
backend/stream.py
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@@ -0,0 +1,67 @@
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import torch
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import argparse
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def stream_context():
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if torch.cuda.is_available():
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return torch.cuda.stream
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if torch.xpu.is_available():
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return torch.xpu.stream
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return None
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def get_current_stream():
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try:
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if torch.cuda.is_available():
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device = torch.device(torch.cuda.current_device())
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stream = torch.cuda.current_stream(device)
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with torch.cuda.stream(stream):
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torch.zeros((1, 1)).to(device, torch.float32)
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stream.synchronize()
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return stream
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if torch.xpu.is_available():
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device = torch.device("xpu")
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stream = torch.xpu.current_stream(device)
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with torch.xpu.stream(stream):
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torch.zeros((1, 1)).to(device, torch.float32)
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stream.synchronize()
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return stream
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except:
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return None
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def get_new_stream():
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try:
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if torch.cuda.is_available():
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device = torch.device(torch.cuda.current_device())
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stream = torch.cuda.Stream(device)
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with torch.cuda.stream(stream):
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torch.zeros((1, 1)).to(device, torch.float32)
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stream.synchronize()
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return stream
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if torch.xpu.is_available():
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device = torch.device("xpu")
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stream = torch.xpu.Stream(device)
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with torch.xpu.stream(stream):
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torch.zeros((1, 1)).to(device, torch.float32)
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stream.synchronize()
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return stream
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except:
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return None
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current_stream = None
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mover_stream = None
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using_stream = False
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parser = argparse.ArgumentParser()
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parser.add_argument("--cuda-stream", action="store_true")
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args = parser.parse_known_args()[0]
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if args.cuda_stream:
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current_stream = get_current_stream()
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mover_stream = get_new_stream()
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using_stream = current_stream is not None and mover_stream is not None
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