mirror of https://github.com/hpcaitech/ColossalAI
71 lines
2.2 KiB
C++
71 lines
2.2 KiB
C++
// modified from https://github.com/NVIDIA/apex/blob/master/csrc/multi_tensor_adam.cu
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#include <torch/extension.h>
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void multi_tensor_scale_cuda(
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int chunk_size,
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at::Tensor noop_flag,
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std::vector<std::vector<at::Tensor>> tensor_lists,
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float scale);
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void multi_tensor_sgd_cuda(
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int chunk_size,
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at::Tensor noop_flag,
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std::vector<std::vector<at::Tensor>> tensor_lists,
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float wd,
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float momentum,
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float dampening,
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float lr,
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bool nesterov,
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bool first_run,
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bool wd_after_momentum,
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float scale);
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void multi_tensor_adam_cuda(
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int chunk_size,
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at::Tensor noop_flag,
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std::vector<std::vector<at::Tensor>> tensor_lists,
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const float lr,
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const float beta1,
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const float beta2,
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const float epsilon,
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const int step,
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const int mode,
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const int bias_correction,
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const float weight_decay);
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void multi_tensor_lamb_cuda(
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int chunk_size,
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at::Tensor noop_flag,
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std::vector<std::vector<at::Tensor>> tensor_lists,
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const float lr,
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const float beta1,
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const float beta2,
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const float epsilon,
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const int step,
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const int bias_correction,
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const float weight_decay,
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const int grad_averaging,
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const int mode,
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at::Tensor global_grad_norm,
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const float max_grad_norm,
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at::optional<bool> use_nvlamb_python);
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std::tuple<at::Tensor, at::Tensor> multi_tensor_l2norm_cuda(
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int chunk_size,
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at::Tensor noop_flag,
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std::vector<std::vector<at::Tensor>> tensor_lists,
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at::optional<bool> per_tensor_python);
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PYBIND11_MODULE(TORCH_EXTENSION_NAME, m)
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{
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m.def("multi_tensor_scale", &multi_tensor_scale_cuda,
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"Fused overflow check + scale for a list of contiguous tensors");
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m.def("multi_tensor_sgd", &multi_tensor_sgd_cuda,
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"Fused SGD optimizer for list of contiguous tensors");
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m.def("multi_tensor_adam", &multi_tensor_adam_cuda,
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"Compute and apply gradient update to parameters for Adam optimizer");
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m.def("multi_tensor_lamb", &multi_tensor_lamb_cuda,
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"Computes and apply update for LAMB optimizer");
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m.def("multi_tensor_l2norm", &multi_tensor_l2norm_cuda,
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"Computes L2 norm for a list of contiguous tensors");
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} |