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https://github.com/sgjzfzzf/triton-tvm-ffi.git
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35 lines
1.3 KiB
C++
35 lines
1.3 KiB
C++
#include <ATen/DLConvertor.h>
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#include <ATen/dlpack.h>
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#include <tvm/ffi/extra/cuda/cubin_launcher.h>
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#include <tvm/ffi/tvm_ffi.h>
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#ifndef SOFTMAX_KERNEL_STUB
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#define SOFTMAX_KERNEL_STUB(grid, device, stream, args, kwargs)
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#endif
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#ifndef SOFTMAX_NAME
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#define SOFTMAX_NAME ""
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#endif
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tvm::ffi::Tensor Softmax(tvm::ffi::Tensor x) {
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at::Tensor xtorch = at::fromDLPack(x.ToDLPack());
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at::Tensor ytorch = at::empty_like(xtorch);
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uint32_t nRows = xtorch.size(0), nCols = xtorch.size(1),
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xStride = xtorch.stride(0), yStride = ytorch.stride(0),
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BLOCK_SIZE = 1u << (32 - __builtin_clz(nCols - 1));
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tvm::ffi::Tensor y = tvm::ffi::Tensor::FromDLPack(at::toDLPack(ytorch));
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tvm::ffi::Tuple<int32_t, int32_t, int32_t> grid{nRows / 1024, 1, 1};
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DLDevice device = x.device();
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void *stream = TVMFFIEnvGetStream(device.device_type, device.device_id);
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tvm::ffi::Array<tvm::ffi::Any> args = {y, x, xStride, yStride,
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nRows, nCols, BLOCK_SIZE};
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tvm::ffi::Map<tvm::ffi::String, tvm::ffi::Any> kwargs = {};
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SOFTMAX_KERNEL_STUB(grid, device.device_id, stream, args, kwargs);
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return y;
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}
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TVM_FFI_STATIC_INIT_BLOCK() {
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namespace refl = tvm::ffi::reflection;
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refl::GlobalDef().def(SOFTMAX_NAME, Softmax);
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}
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