Created
December 4, 2018 20:05
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Sigmoid problem illustration
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/* | |
g++ -std=c++14 sigmoid.cpp -ltvm -o sigmoid.gen | |
sigmoid.gen > sigmoid.s | |
*/ | |
#include <random> | |
#include <iomanip> | |
#include <array> | |
#include <exception> | |
#include <tvm/tvm.h> | |
#include <tvm/operation.h> | |
#include <tvm/schedule.h> | |
#include <tvm/tensor.h> | |
#include <tvm/build_module.h> | |
#include <tvm/ir.h> | |
#include <tvm/ir_operator.h> | |
#include <tvm/ir_mutator.h> | |
#include <tvm/ir_pass.h> | |
#include <topi/broadcast.h> | |
#include <topi/reduction.h> | |
#include <ir/IR.h> | |
#include <ir/IRPrinter.h> | |
using namespace std; | |
using namespace tvm; | |
int main() | |
{ | |
BuildConfig config = build_config(); | |
auto n = var("n"); | |
Array<Expr> shape = {n,n}; | |
Tensor A = placeholder(shape, Float(32), "A"); | |
Tensor X = compute(shape, FCompute([=](auto i){ return tvm::sigmoid(A(i)); } )) ; | |
auto vecadd_lowered = ({ | |
Schedule s = create_schedule({X->op}); | |
std::unordered_map<Tensor, Buffer> binds; | |
auto args = Array<Tensor>({A, X}); | |
auto lowered = lower(s, args, "vecadd", binds, config); | |
lowered; | |
}); | |
auto target = Target::create("llvm"); | |
auto target_host = Target::create("llvm"); | |
runtime::Module mod = build(vecadd_lowered, target, target_host, config); | |
/* Output LLVM assembly to stdout */ | |
cout << mod->GetSource("asm") << endl; | |
return 0; | |
} | |
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