[dnn] Adding batchnorm

2019-07-08 18:44:37 -07:00
parent b0cf3143c5
commit f9db0449b7
42 changed files with 682 additions and 1763 deletions
--- a/examples/python/pytorch/shift.cpp
+++ b/examples/python/pytorch/shift.cpp
@@ -0,0 +1,114 @@
+#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;
+}