42 lines
1.8 KiB
C++
42 lines
1.8 KiB
C++
/******************************************************************************
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* Copyright (c) 2023, Tri Dao.
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******************************************************************************/
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#include <torch/extension.h>
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#include <c10/cuda/CUDAGuard.h>
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#define CHECK_DEVICE(x) TORCH_CHECK(x.device().type() == torch::kCUDA, #x " must be on CUDA")
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#define CHECK_SHAPE(x, ...) TORCH_CHECK(x.sizes() == torch::IntArrayRef({__VA_ARGS__}), #x " must have shape (" #__VA_ARGS__ ")")
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void apply_rotary_cuda(const torch::Tensor x1, const torch::Tensor x2,
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const torch::Tensor cos, const torch::Tensor sin,
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torch::Tensor out1, torch::Tensor out2,
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const bool conj);
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void apply_rotary(const torch::Tensor x1, const torch::Tensor x2,
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const torch::Tensor cos, const torch::Tensor sin,
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torch::Tensor out1, torch::Tensor out2,
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const bool conj) {
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CHECK_DEVICE(x1); CHECK_DEVICE(x2);
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CHECK_DEVICE(cos); CHECK_DEVICE(sin);
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CHECK_DEVICE(out1); CHECK_DEVICE(out1);
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TORCH_CHECK(x1.dtype() == x2.dtype());
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TORCH_CHECK(cos.dtype() == sin.dtype());
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TORCH_CHECK(out1.dtype() == out2.dtype());
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TORCH_CHECK(x1.dtype() == cos.dtype());
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TORCH_CHECK(x1.dtype() == out1.dtype());
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TORCH_CHECK(x1.sizes() == x2.sizes());
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TORCH_CHECK(cos.sizes() == sin.sizes());
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TORCH_CHECK(out1.sizes() == out2.sizes());
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// Otherwise the kernel will be launched from cuda:0 device
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// Cast to char to avoid compiler warning about narrowing
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at::cuda::CUDAGuard device_guard{(char)x1.get_device()};
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apply_rotary_cuda(x1, x2, cos, sin, out1, out2, conj);
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}
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PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
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m.def("apply_rotary", &apply_rotary, "Apply rotary embedding");
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}
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