[Kernel][CPU] Add Quick gelu to CPU (#5717)

This commit is contained in:
Roger Wang
2024-06-20 23:39:40 -07:00
committed by GitHub
parent d9a252bc8e
commit bd620b01fb
4 changed files with 29 additions and 0 deletions

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@ -59,6 +59,13 @@ FORCE_INLINE vec_op::FP32Vec8 gelu_fast_act(const vec_op::FP32Vec8& x) {
return w3 * x * (ones + t);
}
FORCE_INLINE vec_op::FP32Vec8 gelu_quick_act(const vec_op::FP32Vec8& x) {
const vec_op::FP32Vec8 zeros(0.0);
const vec_op::FP32Vec8 ones(1.0);
const vec_op::FP32Vec8 w1(1.702f);
return x / (ones + (zeros - w1 * x).exp());
}
FORCE_INLINE vec_op::FP32Vec8 gelu_act(const vec_op::FP32Vec8& x) {
const vec_op::FP32Vec8 ones(1.0);
const vec_op::FP32Vec8 w1(M_SQRT1_2);
@ -142,3 +149,15 @@ void gelu_fast(torch::Tensor& out, torch::Tensor& input) {
CPU_KERNEL_GUARD_OUT(gelu_fast_impl)
});
}
void gelu_quick(torch::Tensor& out, torch::Tensor& input) {
int num_tokens = input.numel() / input.size(-1);
int d = input.size(-1);
VLLM_DISPATCH_FLOATING_TYPES(input.scalar_type(), "gelu_quick_impl", [&] {
CPU_KERNEL_GUARD_IN(gelu_quick_impl)
activation_kernel<scalar_t, gelu_quick_act, false>(
num_tokens, d, input.data_ptr<scalar_t>(), out.data_ptr<scalar_t>());
CPU_KERNEL_GUARD_OUT(gelu_quick_impl)
});
}

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@ -58,6 +58,10 @@ TORCH_LIBRARY_EXPAND(TORCH_EXTENSION_NAME, ops) {
ops.def("gelu_fast(Tensor! out, Tensor input) -> ()");
ops.impl("gelu_fast", torch::kCPU, &gelu_fast);
// Quick GELU implementation.
ops.def("gelu_quick(Tensor! out, Tensor input) -> ()");
ops.impl("gelu_quick", torch::kCPU, &gelu_quick);
// Layernorm
// Apply Root Mean Square (RMS) Normalization to the input tensor.
ops.def(