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Lamb CUDA Kernels
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/* Copyright 2019 The Microsoft DeepSpeed Team */ | ||
#include <torch/extension.h> | ||
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// CUDA forward declaration | ||
void fused_lamb_cuda(at::Tensor & p, at::Tensor & p_copy, at::Tensor & m, at::Tensor & v, at::Tensor & g, | ||
float lr, float beta1, float beta2, float max_coeff, float min_coeff, float eps, float grad_scale, int step, int mode, int bias_correction, float decay, | ||
at::Tensor & w_l2_i, at::Tensor & u_l2_i, at::Tensor & lamb_coeff_val ); | ||
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#define CHECK_CUDA(x) AT_ASSERTM(x.type().is_cuda(), #x " must be a CUDA tensor") | ||
#define CHECK_CONTIGUOUS(x) AT_ASSERTM(x.is_contiguous(), #x " must be contiguous") | ||
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x) | ||
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// C++ interface | ||
at::Tensor lamb(at::Tensor & p, at::Tensor & p_copy, at::Tensor & m, at::Tensor & v, at::Tensor & g, float lr, float beta1, float beta2, float max_coeff, float min_coeff, float eps, float grad_scale, int step, int mode, int bias_correction, float decay) { | ||
CHECK_INPUT(p); | ||
if (p_copy.numel() > 0) CHECK_INPUT(p_copy); | ||
CHECK_INPUT(m); | ||
CHECK_INPUT(v); | ||
CHECK_INPUT(g); | ||
int64_t num_elem = p.numel(); | ||
AT_ASSERTM(m.numel() == num_elem, "number of elements in m and p tensors should be equal"); | ||
AT_ASSERTM(v.numel() == num_elem, "number of elements in v and p tensors should be equal"); | ||
AT_ASSERTM(g.numel() == num_elem, "number of elements in g and p tensors should be equal"); | ||
AT_ASSERTM(p_copy.numel() == num_elem || p_copy.numel() == 0, "number of elements in p_copy and p tensors should be equal, or p_copy should be empty"); | ||
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//intermediate for weight L2 reduction | ||
//make sure that the threads per block is at least 512 during the kernel launch otherwise the behavious is unexpected | ||
at::Tensor w_l2_i = at::empty({512}, p.options().dtype(p.type().scalarType()==at::ScalarType::Half ? at::ScalarType::Float : p.type().scalarType())); | ||
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//intermediate for update L2 reduction | ||
//make sure that the threads per block is at least 512 during the kernel launch otherwise the behavious is unexpected | ||
at::Tensor u_l2_i = at::empty({512}, p.options().dtype(p.type().scalarType()==at::ScalarType::Half ? at::ScalarType::Float : p.type().scalarType())); | ||
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at::Tensor lamb_coeff_val = at::empty({1}, p.options().dtype(p.type().scalarType()==at::ScalarType::Half ? at::ScalarType::Float : p.type().scalarType())); | ||
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fused_lamb_cuda(p, p_copy, m, v, g, lr, beta1, beta2, max_coeff, min_coeff, eps, grad_scale, step, mode, bias_correction, decay, w_l2_i, u_l2_i, lamb_coeff_val); | ||
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return lamb_coeff_val; | ||
} | ||
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PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) { | ||
m.def("lamb", &lamb, "Adam optimized CUDA implementation with LAMB."); | ||
} |
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