🐛 Describe the bug torch._fused_adamw_( RuntimeError: params, grads, exp_avgs, and exp_avg_sqs must have same dtype, device, and layout Versions 2.2.1
3.10/site-packages/torch/optim/adamw.py", line 615, in _fused_adamw torch._fused_adamw_( RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument state_steps in method wrapper_CUDA___fused_adamw...
dtype=torch.float32, device=device) for _ in range(num_tensors)] if adamWflag: fn = adamw.adamw else: fn = adam.adam for fused in [True, False]: t = benchmark.Timer( stmt='profile(fn, params, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, amsgrad, fused)',...
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super(FusedAdam, self).__init__(params, defaults) self.adam_w_mode = 1 if adam_w_mode else 0 self.set_grad_none = set_grad_none self._adam_w_mode = 1 if adam_w_mode else 0 self._set_grad_none = set_grad_none # Skip buffer self._dummy_overflow_buf = torch.cuda.IntTensor...
🚀 The feature, motivation and pitch After running several benchmarks 1 and 2 it appears that apex.optimizers.FusedAdam is 10-15% faster than torch.optim.AdamW (in an ensemble of the HF Trainer loop). I'm proposing to replace torch.optim...
# T|F T F torch.optim.Adam # T F T|F DeepSpeedCPUAdam(adam_w_mode) # F F T|F FusedAdam(adam_w_mode) The behind-the-scenes magic is probably great for general use, but there is a lot of power in knowing exactly what you're using and not second-guessing yourself. The runtime...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - pytorch/torch/optim/adamw.py at 32be3e942c3251dc50892334c6614a89327c122c · pytorch/pytorch
test_fused_adam_op.py 相关测试。 需要在 CI 环境中验证分布式的测试项目 需要在 CI 环境中验证其他测试项目 另外,xpu 的 amsgrad 变体,由于 xpu 底层接口暂不支持,因此,此处只修改了相关的输入输出参数列表。 Sorry, something went wrong. megeminiadded12commitsAugust 29, 2024 18:39 ...
Traceback (most recent call last): File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4589, in test_graph_scaling_fused_optimizers scaler_for_graphed.load_state_dict(scaler_for_control.state_dict()) File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler...