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put num_warps and num_stages in kwargs

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Signed-off-by: jinjieliu <jinjie.liu@usc.edu>
This commit is contained in:
jinjieliu
2026-02-07 14:25:10 +08:00
parent 2298b6f8c8
commit 6a19a6b06d
5 changed files with 10 additions and 20 deletions
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5
examples/add/add.cc
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@@ -5,7 +5,7 @@
#include <tvm/ffi/tvm_ffi.h>
#ifndef ADD_KERNEL_STUB
#define ADD_KERNEL_STUB(grid, stream, numWarps, numStages, args, kwargs)
#define ADD_KERNEL_STUB(grid, stream, args, kwargs)
#endif
#ifndef ADD_NAME
@@ -23,12 +23,11 @@ tvm::ffi::Tensor Add(tvm::ffi::Tensor x, tvm::ffi::Tensor y) {
const int32_t BLOCK_SIZE = meta["BLOCK_SIZE"].cast<int32_t>();
return tvm::ffi::Tuple((numel + BLOCK_SIZE - 1) / BLOCK_SIZE, 1, 1);
});
tvm::ffi::Optional<int32_t> numWarps = std::nullopt, numStages = std::nullopt;
DLDevice device = x.device();
void *stream = TVMFFIEnvGetStream(device.device_type, device.device_id);
tvm::ffi::Array<tvm::ffi::Any> args = {x, y, output, numel, 1024};
tvm::ffi::Map<tvm::ffi::String, tvm::ffi::Any> kwargs = {};
ADD_KERNEL_STUB(grid, stream, numWarps, numStages, args, kwargs);
ADD_KERNEL_STUB(grid, stream, args, kwargs);
return output;
}

5
examples/mm/mm.cc
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@@ -4,7 +4,7 @@
#include <tvm/ffi/tvm_ffi.h>
#ifndef MATMUL_KERNEL_STUB
#define MATMUL_KERNEL_STUB(grid, stream, numWarps, numStages, args, kwargs)
#define MATMUL_KERNEL_STUB(grid, stream, args, kwargs)
#endif
#ifndef MATMUL_NAME
@@ -27,7 +27,6 @@ tvm::ffi::Tensor Matmul(tvm::ffi::Tensor a, tvm::ffi::Tensor b,
((N + BLOCK_SIZE_N - 1) / BLOCK_SIZE_N),
1, 1};
});
tvm::ffi::Optional<int32_t> numWarps = std::nullopt, numStages = std::nullopt;
DLDevice device = a.device();
void *stream = TVMFFIEnvGetStream(device.device_type, device.device_id);
tvm::ffi::Tensor c = tvm::ffi::Tensor::FromDLPack(at::toDLPack(ctorch));
@@ -46,7 +45,7 @@ tvm::ffi::Tensor Matmul(tvm::ffi::Tensor a, tvm::ffi::Tensor b,
tvm::ffi::Map<tvm::ffi::String, tvm::ffi::Any> kwargs = {
{"ACTIVATION", activation},
};
MATMUL_KERNEL_STUB(grid, stream, numWarps, numStages, args, kwargs);
MATMUL_KERNEL_STUB(grid, stream, args, kwargs);
return c;
}

12
examples/softmax/softmax.cc
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@@ -4,7 +4,7 @@
#include <tvm/ffi/tvm_ffi.h>
#ifndef SOFTMAX_KERNEL_STUB
#define SOFTMAX_KERNEL_STUB(grid, stream, numWarps, numStages, args, kwargs)
#define SOFTMAX_KERNEL_STUB(grid, stream, args, kwargs)
#endif
#ifndef SOFTMAX_NAME
@@ -14,19 +14,17 @@
tvm::ffi::Tensor Softmax(tvm::ffi::Tensor x) {
at::Tensor xtorch = at::fromDLPack(x.ToDLPack());
at::Tensor ytorch = at::empty_like(xtorch);
uint32_t nRows = xtorch.size(0), nCols = xtorch.size(1), numWarps = 8,
numStages = 4, xStride = xtorch.stride(0),
yStride = ytorch.stride(0),
uint32_t nRows = xtorch.size(0), nCols = xtorch.size(1),
xStride = xtorch.stride(0), yStride = ytorch.stride(0),
BLOCK_SIZE = 1u << (32 - __builtin_clz(nCols - 1));
tvm::ffi::Tensor y = tvm::ffi::Tensor::FromDLPack(at::toDLPack(ytorch));
tvm::ffi::Tuple<int32_t, int32_t, int32_t> grid{nRows / 1024, 1, 1};
DLDevice device = x.device();
void* stream =
TVMFFIEnvGetStream(device.device_type, device.device_id);
void *stream = TVMFFIEnvGetStream(device.device_type, device.device_id);
tvm::ffi::Array<tvm::ffi::Any> args = {y, x, xStride, yStride,
nRows, nCols, BLOCK_SIZE};
tvm::ffi::Map<tvm::ffi::String, tvm::ffi::Any> kwargs = {};
SOFTMAX_KERNEL_STUB(grid, stream, numWarps, numStages, args, kwargs);
SOFTMAX_KERNEL_STUB(grid, stream, args, kwargs);
return y;
}