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- import torch
- from deepspeed.ops.adam import DeepSpeedCPUAdam
- import time
- device = 'cpu'
- model_size = 1 * 1024**3
- param = torch.nn.Parameter(torch.ones(model_size, device=device))
- param_fp16 = torch.nn.Parameter(torch.ones(model_size,
- dtype=torch.half,
- device='cuda:0'))
- optimizer = DeepSpeedCPUAdam([param])
- #torch.set_num_threads(128)
- param.grad = torch.ones(model_size, device=device)
- avg = 0
- for i in range(100):
- start = time.time()
- optimizer.step(fp16_param_groups=[param_fp16])
- stop = time.time()
- avg += (stop - start)
- param.grad = torch.ones(model_size, device=device) * 2
- print("Elapsed Time is ", avg / 100)
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