[Kernel][CPU] Add Quick gelu to CPU (#5717)
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@ -59,6 +59,13 @@ FORCE_INLINE vec_op::FP32Vec8 gelu_fast_act(const vec_op::FP32Vec8& x) {
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return w3 * x * (ones + t);
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}
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FORCE_INLINE vec_op::FP32Vec8 gelu_quick_act(const vec_op::FP32Vec8& x) {
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const vec_op::FP32Vec8 zeros(0.0);
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const vec_op::FP32Vec8 ones(1.0);
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const vec_op::FP32Vec8 w1(1.702f);
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return x / (ones + (zeros - w1 * x).exp());
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}
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FORCE_INLINE vec_op::FP32Vec8 gelu_act(const vec_op::FP32Vec8& x) {
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const vec_op::FP32Vec8 ones(1.0);
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const vec_op::FP32Vec8 w1(M_SQRT1_2);
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@ -142,3 +149,15 @@ void gelu_fast(torch::Tensor& out, torch::Tensor& input) {
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CPU_KERNEL_GUARD_OUT(gelu_fast_impl)
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});
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}
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void gelu_quick(torch::Tensor& out, torch::Tensor& input) {
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int num_tokens = input.numel() / input.size(-1);
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int d = input.size(-1);
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VLLM_DISPATCH_FLOATING_TYPES(input.scalar_type(), "gelu_quick_impl", [&] {
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CPU_KERNEL_GUARD_IN(gelu_quick_impl)
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activation_kernel<scalar_t, gelu_quick_act, false>(
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num_tokens, d, input.data_ptr<scalar_t>(), out.data_ptr<scalar_t>());
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CPU_KERNEL_GUARD_OUT(gelu_quick_impl)
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});
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}
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@ -58,6 +58,10 @@ TORCH_LIBRARY_EXPAND(TORCH_EXTENSION_NAME, ops) {
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ops.def("gelu_fast(Tensor! out, Tensor input) -> ()");
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ops.impl("gelu_fast", torch::kCPU, &gelu_fast);
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// Quick GELU implementation.
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ops.def("gelu_quick(Tensor! out, Tensor input) -> ()");
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ops.impl("gelu_quick", torch::kCPU, &gelu_quick);
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// Layernorm
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// Apply Root Mean Square (RMS) Normalization to the input tensor.
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ops.def(
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