Files
triton/examples/python/pytorch/shift.cpp
2019-07-08 18:44:37 -07:00

115 lines
4.8 KiB
C++

#include <vector>
#include <sstream>
#include <torch/torch.h>
#include <torch/script.h>
#include "ATen/cuda/CUDAContext.h"
#include "triton/runtime/jit.h"
#include "triton/driver/stream.h"
#include "triton/dnn/shift.h"
#include "triton/tools/bench.hpp"
#define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
#define CHECK_CONTIGUOUS(x) AT_CHECK(x.is_contiguous(), #x " must be contiguous")
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
typedef std::tuple<int32_t, int32_t, int32_t, int32_t, int32_t,
int32_t, int32_t, int32_t, int32_t,
int32_t*, int32_t*,
triton::dnn::shift::type, bool> shift_key_t;
static std::map<CUstream, std::unique_ptr<triton::driver::stream>> m_shift_stream;
static std::map<shift_key_t, std::unique_ptr<triton::jit>> m_shift_jit;
static std::map<shift_key_t, std::unique_ptr<triton::dnn::shift>> m_shift_config;
torch::Tensor shift_common(
int32_t B, int32_t C, int32_t D, int32_t H, int32_t W,
int32_t T, int32_t R, int32_t S, int32_t F,
std::vector<int32_t> shift_h, std::vector<int32_t> shift_w,
triton::dnn::shift::type ty,
torch::Tensor torcha, torch::Tensor torchb, torch::Tensor torchbias,
bool autotune = false
) {
// Wrap CUDA handles
c10::DeviceIndex device = torcha.storage().device().index();
// Get stream
CUstream custream = (CUstream)at::cuda::getCurrentCUDAStream(device).stream();
triton::driver::stream* stream;
if(m_shift_stream.find(custream) == m_shift_stream.end())
stream = m_shift_stream.emplace(custream, new triton::driver::cu_stream(custream, false)).first->second.get();
else
stream = m_shift_stream.at(custream).get();
// Get context
triton::driver::context* ctx = stream->context();
// Get configuration
bool has_bias = torchbias.storage().size() > 0;
shift_key_t key = {B, C, D, H, W, T, R, S, F, shift_h.data(), shift_w.data(), ty, has_bias};
triton::dnn::shift* configuration;
if(m_shift_config.find(key) == m_shift_config.end())
configuration = m_shift_config.emplace(key, new triton::dnn::shift(
B, C, D, H, W, T, R, S, F,
shift_h, shift_w, "fp32", "fp32",
ty, has_bias)).first->second.get();
else
configuration = m_shift_config.at(key).get();
// Bind memory
triton::driver::cu_buffer a(ctx, (CUdeviceptr)torcha.storage().data(), false);
triton::driver::cu_buffer b(ctx, (CUdeviceptr)torchb.storage().data(), false);
triton::driver::cu_buffer cubias(ctx, (CUdeviceptr)torchbias.storage().data(), false);
triton::driver::buffer* bias = has_bias ? &cubias : nullptr;
// Allocate output
std::vector<int32_t> c_shapes = configuration->c_shapes();
torch::Tensor torchc = torch::empty({c_shapes[0], c_shapes[1], c_shapes[2], c_shapes[3]}).cuda();
triton::driver::cu_buffer c(ctx, (CUdeviceptr)torchc.storage().data(), false);
// Get JIT
triton::jit* jit;
if(m_shift_jit.find(key) == m_shift_jit.end()){
jit = m_shift_jit.emplace(key, new triton::jit(ctx)).first->second.get();
std::ostringstream oss;
configuration->src(oss);
std::string src = oss.str();
// benchmark a given shiftolution kernel
auto benchmark = [&](triton::driver::kernel* kernel,
triton::jit::launch_information info) {
configuration->init(stream, (triton::driver::cu_module*)kernel->module());
unsigned TM = info.global_range_size[0];
unsigned TN = info.global_range_size[1];
unsigned nthreads = info.num_threads;
configuration->enqueue(stream, kernel, &a, &b, &c, TM, TN, nthreads);
stream->synchronize();
double ts = triton::tools::bench([&](){ configuration->enqueue(stream, kernel, &a, &b, &c, TM, TN, nthreads); },
[&](){ stream->synchronize(); }, stream->context()->device());
return configuration->get_nflops() / ts * 1e-3;
};
// auto-tune and save result
if(autotune) {
triton::jit::tune_res_t best = jit->autotune("shift", src.c_str(), benchmark);
jit->add_module("shift", src.c_str(), best.params);
}
else {
jit->add_module("shift", src.c_str(), jit->get_valid("shift", src.c_str()));
}
triton::driver::kernel* kernel = jit->get_function("shift");
configuration->init(stream, (triton::driver::cu_module*)kernel->module());
}
else
jit = m_shift_jit.at(key).get();
// Run
triton::driver::kernel* kernel = jit->get_function("shift");
triton::jit::launch_information info = jit->get_launch_info("shift");
// launch info
unsigned TM = info.global_range_size[0];
unsigned TN = info.global_range_size[1];
unsigned nthreads = info.num_threads;
// enqueue
configuration->enqueue(stream, kernel, &a, &b, &c, TM, TN, nthreads);
return torchc;
}