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Remove CUDA-only restriction for multi-tensor model updates in optimizer #10564

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Remove CUDA-only restriction for multi-tensor model updates in optimizer #10564

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a129597
Remove CUDA-only restriction for multi-tensor model updates in optimizer
ShawnXuan Nov 14, 2024
434204d
rm lines
ShawnXuan Nov 14, 2024
4178498
Merge branch 'master' into rm_multi_tensor_model_update_limit
mergify[bot] Nov 15, 2024
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4 changes: 0 additions & 4 deletions oneflow/core/job_rewriter/multi_tensor_model_update.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -231,10 +231,6 @@ Maybe<void> MultiTensorModelUpdatePass::Apply(const OpGraph& op_graph,
}
const user_op::UserOpConfWrapper model_update_user_conf(
find_model_update_update_node->op().op_conf());
// Multi tensor update pass only support for CUDA currently.
if (find_model_update_update_node->parallel_desc().device_type() != DeviceType::kCUDA) {
continue;
}

// Multi tensor update pass only support Data Parallel.
bool if_data_parallel = true;
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4 changes: 0 additions & 4 deletions python/oneflow/nn/optimizer/adamw.py
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Expand Up @@ -163,10 +163,6 @@ def __init__(
warnings.warn("Fused Adamw is not supported when amsgrad=True.")
param_group["fused"] = False

if param_group["fused"] and not param.is_cuda:
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这个去掉，是不是cpu device会有影响，是否需要用param.is_cpu判断一下？

warnings.warn("Fused Adamw only support cuda parameters.")
param_group["fused"] = False

self._op_with_amsgrad = (
flow.stateful_op("adam_update")
.Input("model")
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