attempt to fix memory monitor with multiple CUDA devices
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@ -23,12 +23,16 @@ class MemUsageMonitor(threading.Thread):
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self.data = defaultdict(int)
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try:
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torch.cuda.mem_get_info()
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self.cuda_mem_get_info()
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torch.cuda.memory_stats(self.device)
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except Exception as e: # AMD or whatever
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print(f"Warning: caught exception '{e}', memory monitor disabled")
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self.disabled = True
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def cuda_mem_get_info(self):
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index = self.device.index if self.device.index is not None else torch.cuda.current_device()
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return torch.cuda.mem_get_info(index)
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def run(self):
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if self.disabled:
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return
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@ -43,10 +47,10 @@ class MemUsageMonitor(threading.Thread):
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self.run_flag.clear()
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continue
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self.data["min_free"] = torch.cuda.mem_get_info()[0]
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self.data["min_free"] = self.cuda_mem_get_info()[0]
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while self.run_flag.is_set():
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free, total = torch.cuda.mem_get_info() # calling with self.device errors, torch bug?
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free, total = self.cuda_mem_get_info()
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self.data["min_free"] = min(self.data["min_free"], free)
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time.sleep(1 / self.opts.memmon_poll_rate)
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@ -70,7 +74,7 @@ class MemUsageMonitor(threading.Thread):
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def read(self):
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if not self.disabled:
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free, total = torch.cuda.mem_get_info()
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free, total = self.cuda_mem_get_info()
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self.data["free"] = free
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self.data["total"] = total
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