Add mutex to THC random number generator (#6527)

* Add mutex to THC random number generator

* Add test for CUDA RNG multithread

* fix lint

* Rename gen_state to state and remove unnecessary mutex lock

* Remove RNG test from cpp_extensions

* Add CUDA RNG test to libtorch

* Build test_rng only if CUDA exists

* Move test to aten/src/ATen/test/

* Separate ATen build and test, and run ATen test in CI test phase

* Don't test ATen in ASAN build

* Fix bug in ATen scalar_test

* Fix bug in ATen native_test

* Add FIXME to some CUDA tests in scalar_tensor_test

* Valgrind doesn't work well with CUDA, seed the CPU and CUDA RNG separately instead

.jenkins/pytorch/build.sh

@@ -29,10 +29,13 @@ fi
 
 python setup.py install
 
-# Test ATen
+# Add the ATen test binaries so that they won't be git clean'ed away
+git add -f aten/build/src/ATen/test
+
+# Testing ATen install
 if [[ "$BUILD_ENVIRONMENT" != *cuda* ]]; then
-  echo "Testing ATen"
+  echo "Testing ATen install"
-  time tools/run_aten_tests.sh
+  time tools/test_aten_install.sh
 fi
 
 # Test C FFI plugins

.jenkins/pytorch/test.sh

@@ -29,6 +29,14 @@ fi
 
 time python test/run_test.py --verbose
 
+# Test ATen
+if [[ "$BUILD_ENVIRONMENT" != *asan* ]]; then
+  echo "Testing ATen"
+  TORCH_LIB_PATH=$(python -c "import site; print(site.getsitepackages()[0])")/torch/lib
+  ln -s "$TORCH_LIB_PATH"/libATen.so aten/build/src/ATen/libATen.so
+  aten/tools/run_tests.sh aten/build
+fi
+
 rm -rf ninja
 
 echo "Installing torchvision at branch master"

aten/src/ATen/native/cuda/Distributions.cu

@@ -10,6 +10,7 @@
 
 #include <THC/THCGeneral.h>
 #include <THC/THCTensorRandom.h>
+#include <THC/THCGenerator.h>
 #include <THC/THCApply.cuh>
 #include <THC/THCNumerics.cuh>
 
@@ -21,8 +22,8 @@ THCGenerator* THCRandom_getGenerator(THCState* state);
 namespace {
 std::pair<uint64_t, uint64_t> next_philox_seed(at::Generator* gen) {
   auto gen_ = THCRandom_getGenerator(at::globalContext().thc_state);
-  uint64_t offset = THAtomicAddLong(&gen_->philox_seed_offset, 1);
+  uint64_t offset = THAtomicAddLong(&gen_->state.philox_seed_offset, 1);
-  return std::make_pair(gen_->initial_seed, offset);
+  return std::make_pair(gen_->state.initial_seed, offset);
 }
 
 template <typename scalar_t>

aten/src/ATen/test/CMakeLists.txt

@@ -45,6 +45,11 @@ if(NOT NO_CUDA)
   target_link_libraries(integer_divider_test ATen)
 endif()
 
+if(NOT NO_CUDA)
+  cuda_add_executable(cuda_rng_test cuda_rng_test.cpp)
+  target_link_libraries(cuda_rng_test ATen)
+endif()
+
 if (CUDNN_FOUND)
   add_executable(cudnn_test cudnn_test.cpp)
   target_link_libraries(cudnn_test ATen)

aten/src/ATen/test/atest.cpp

@@ -24,7 +24,8 @@ void trace() {
 
 TEST_CASE( "atest", "[]" ) {
 
-  manual_seed(123);
+  manual_seed(123, at::Backend::CPU);
+  manual_seed(123, at::Backend::CUDA);
 
   auto foo = rand(CPU(kFloat), {12,6});
   REQUIRE(foo.data<float>() == foo.toFloatData());

aten/src/ATen/test/basic.cpp

@@ -274,13 +274,13 @@ static void test(Type & type) {
 }
 
 TEST_CASE( "basic tests CPU", "[cpu]" ) {
-  manual_seed(123);
+  manual_seed(123, at::Backend::CPU);
 
   test(CPU(kFloat));
 }
 
 TEST_CASE( "basic tests GPU", "[cuda]" ) {
-  manual_seed(123);
+  manual_seed(123, at::Backend::CUDA);
 
   if(at::hasCUDA()) {
     test(CUDA(kFloat));

aten/src/ATen/test/broadcast_test.cpp

@@ -8,7 +8,7 @@ using namespace at;
 
 TEST_CASE( "broadcast", "[]" ) {
 
-  manual_seed(123);
+  manual_seed(123, at::Backend::CPU);
 
   Type & T = CPU(kFloat);
 

aten/src/ATen/test/cuda_rng_test.cpp

@@ -0,0 +1,27 @@
+#define CATCH_CONFIG_MAIN
+#include "catch.hpp"
+
+#include "ATen/ATen.h"
+#include "cuda.h"
+#include "cuda_runtime.h"
+#include <thread>
+
+void makeRandomNumber() {
+  cudaSetDevice(std::rand() % 2);
+  auto x = at::CUDA(at::kFloat).randn({1000});
+}
+
+void testCudaRNGMultithread() {
+  auto threads = std::vector<std::thread>();
+  for (auto i = 0; i < 1000; i++) {
+    threads.emplace_back(makeRandomNumber);
+  }
+  for (auto& t : threads) {
+    t.join();
+  }
+};
+
+TEST_CASE( "CUDA RNG test", "[cuda]" ) {
+  SECTION( "multithread" )
+    testCudaRNGMultithread();
+}

aten/src/ATen/test/cudnn_test.cpp

@@ -10,7 +10,7 @@ using namespace at;
 using namespace at::native;
 
 TEST_CASE( "cudnn", "[cuda]" ) {
-  manual_seed(123);
+  manual_seed(123, at::Backend::CUDA);
 
 #if CUDNN_VERSION < 7000
   auto handle = getCudnnHandle();

aten/src/ATen/test/dlconvertor_test.cpp

@@ -13,7 +13,7 @@ using namespace at;
 
 TEST_CASE( "dlconvertor", "[cpu]" ) {
 
-  manual_seed(123);
+  manual_seed(123, at::Backend::CPU);
 
   INFO( "convert ATen to DLTensor" );
 

aten/src/ATen/test/native_test.cpp

@@ -163,9 +163,9 @@ void test(Type & T, Type & AccT) {
       auto ct1 = randn(T, {3, 4});
       auto ct2 = randn(T, {3, 4});
       auto t1 = randn(T.toBackend(Backend::CPU), {3, 4});
-      REQUIRE_THROWS_WITH(ct1._standard_gamma_grad(ct2), "not implemented");
+      REQUIRE_THROWS_WITH(ct1._standard_gamma_grad(ct2), Catch::Contains("not implemented"));
-      REQUIRE_THROWS_WITH(ct1._standard_gamma_grad(t1), "not implemented");
+      REQUIRE_THROWS_WITH(ct1._standard_gamma_grad(t1), Catch::Contains("not implemented"));
-      REQUIRE_THROWS_WITH(t1._standard_gamma_grad(ct2), "CUDA Backend");
+      REQUIRE_THROWS_WITH(t1._standard_gamma_grad(ct2), Catch::Contains("CUDA Backend"));
     }
 	}
 
@@ -189,13 +189,13 @@ void test(Type & T, Type & AccT) {
 }
 
 TEST_CASE( "native test CPU", "[cpu]" ) {
-  manual_seed(123);
+  manual_seed(123, at::Backend::CPU);
 
   test(CPU(kFloat), CPU(kDouble));
 }
 
 TEST_CASE( "native test CUDA", "[cuda]" ) {
-  manual_seed(123);
+  manual_seed(123, at::Backend::CUDA);
 
   if (at::hasCUDA()) {
     test(CUDA(kFloat), CUDA(kDouble));

aten/src/ATen/test/scalar_tensor_test.cpp

@@ -132,8 +132,10 @@ void test(Type &T) {
     if (t.numel() != 0) {
       REQUIRE(t.sum(0).dim() == std::max<int64_t>(t.dim() - 1, 0));
     } else {
+      if (!T.is_cuda()) { // FIXME: out of range exception in CUDA
         REQUIRE(t.sum(0).equal(T.tensor({0})));
       }
+    }
 
     // reduce (with dimension argument and with 2 return arguments)
     if (t.numel() != 0) {
@@ -273,13 +275,13 @@ void test(Type &T) {
 }
 
 TEST_CASE( "scalar tensor test CPU", "[cpu]" ) {
-  manual_seed(123);
+  manual_seed(123, at::Backend::CPU);
 
   test(CPU(kFloat));
 }
 
 TEST_CASE( "scalar tensor test CUDA", "[cuda]" ) {
-  manual_seed(123);
+  manual_seed(123, at::Backend::CUDA);
 
   if (at::hasCUDA()) {
     test(CUDA(kFloat));

aten/src/ATen/test/scalar_test.cpp

@@ -72,7 +72,8 @@ void test_overflow() {
 
 TEST_CASE( "scalar test", "[]" ) {
 
-  manual_seed(123);
+  manual_seed(123, at::Backend::CPU);
+  manual_seed(123, at::Backend::CUDA);
 
   Scalar what = 257;
   Scalar bar = 3.0;
@@ -83,7 +84,7 @@ TEST_CASE( "scalar test", "[]" ) {
   REQUIRE_NOTHROW(gen.seed());
   auto && C = at::globalContext();
   if(at::hasCUDA()) {
-    auto & CUDAFloat = C.getType(Backend::CPU,ScalarType::Float);
+    auto & CUDAFloat = C.getType(Backend::CUDA,ScalarType::Float);
     auto t2 = zeros(CUDAFloat, {4,4});
     cout << &t2 << "\n";
     cout << "AFTER GET TYPE " << &CUDAFloat << "\n";

aten/src/ATen/test/tbb_init_test.cpp

@@ -24,7 +24,7 @@ void test(int given_num_threads) {
 }
 
 int main() {
-  manual_seed(123);
+  manual_seed(123, at::Backend::CPU);
 
   test(-1);
   std::thread t1(test, -1);

aten/src/ATen/test/test_parallel.cpp

@@ -13,7 +13,7 @@ using namespace at;
 
 TEST_CASE( "parallel", "[cpu]" ) {
 
-  manual_seed(123);
+  manual_seed(123, at::Backend::CPU);
   set_num_threads(1);
 
   Tensor a = rand(CPU(at::kFloat), {1,3});

aten/src/ATen/test/test_seed.h

@@ -2,10 +2,11 @@
 
 #include "ATen/ATen.h"
 
-void manual_seed(uint64_t seed) {
+void manual_seed(uint64_t seed, at::Backend backend) {
+  if (backend == at::Backend::CPU) {
     at::Generator & cpu_gen = at::globalContext().defaultGenerator(at::Backend::CPU);
     cpu_gen.manualSeed(seed);
-  if (at::hasCUDA()) {
+  } else if (backend == at::Backend::CUDA && at::hasCUDA()) {
     at::Generator & cuda_gen = at::globalContext().defaultGenerator(at::Backend::CUDA);
     cuda_gen.manualSeed(seed);
   }

aten/src/ATen/test/undefined_tensor_test.cpp

@@ -9,7 +9,7 @@
 using namespace at;
 
 TEST_CASE( "undefined tensor test", "[]" ) {
-  manual_seed(123);
+  manual_seed(123, at::Backend::CPU);
 
   // mainly test ops on undefined tensors don't segfault and give a reasonable errror message.
   Tensor und;

aten/src/ATen/test/wrapdim_test.cpp

@@ -7,7 +7,7 @@
 using namespace at;
 
 TEST_CASE( "wrapdim test", "[]" ) {
-  manual_seed(123);
+  manual_seed(123, at::Backend::CPU);
 
   Type & T = CPU(kFloat);
 

aten/src/THC/THCGenerator.h

@@ -0,0 +1,19 @@
+#ifndef THC_GENERATOR_INC
+#define THC_GENERATOR_INC
+
+#include <mutex>
+
+typedef struct THCGeneratorState {
+  struct curandStateMtgp32* gen_states;
+  struct mtgp32_kernel_params *kernel_params;
+  int initf;
+  uint64_t initial_seed;
+  int64_t philox_seed_offset;
+} THCGeneratorState;
+
+struct THCGenerator {
+  std::mutex mutex; /* mutex for using this generator */
+  THCGeneratorState state;
+};
+
+#endif

aten/src/THC/THCTensorRandom.cpp

@@ -1,4 +1,5 @@
 #include "THCTensorRandom.h"
+#include "THCGenerator.h"
 
 #include <random>
 #include <curand.h>
@@ -11,15 +12,16 @@ void createGeneratorState(THCGenerator* gen, uint64_t seed);
 /* Frees memory allocated during setup. */
 void destroyGenerator(THCState *state, THCGenerator* gen)
 {
-  if (gen->gen_states)
+  std::lock_guard<std::mutex> lock(gen->mutex);
+  if (gen->state.gen_states)
   {
-    THCudaCheck(THCudaFree(state, gen->gen_states));
+    THCudaCheck(THCudaFree(state, gen->state.gen_states));
-    gen->gen_states = NULL;
+    gen->state.gen_states = NULL;
   }
-  if (gen->kernel_params)
+  if (gen->state.kernel_params)
   {
-    THCudaCheck(THCudaFree(state, gen->kernel_params));
+    THCudaCheck(THCudaFree(state, gen->state.kernel_params));
-    gen->kernel_params = NULL;
+    gen->state.kernel_params = NULL;
   }
 }
 
@@ -39,11 +41,12 @@ void THCRandom_init(THCState* state, int devices, int current_device)
   std::random_device rd;
   for (int i = 0; i < rng_state->num_devices; ++i)
   {
-    rng_state->gen[i].initf = 0;
+    new (&rng_state->gen[i].mutex) std::mutex();
-    rng_state->gen[i].initial_seed = createSeed(rd);
+    rng_state->gen[i].state.initf = 0;
-    rng_state->gen[i].philox_seed_offset = 0;
+    rng_state->gen[i].state.initial_seed = createSeed(rd);
-    rng_state->gen[i].gen_states = NULL;
+    rng_state->gen[i].state.philox_seed_offset = 0;
-    rng_state->gen[i].kernel_params = NULL;
+    rng_state->gen[i].state.gen_states = NULL;
+    rng_state->gen[i].state.kernel_params = NULL;
   }
 }
 
@@ -74,18 +77,20 @@ static THCGenerator* THCRandom_rawGenerator(THCState* state)
 THCGenerator* THCRandom_getGenerator(THCState* state)
 {
   THCGenerator* gen = THCRandom_rawGenerator(state);
-  if (gen->initf == 0)
+  std::lock_guard<std::mutex> lock(gen->mutex);
+  if (gen->state.initf == 0)
   {
     initializeGenerator(state, gen);
-    createGeneratorState(gen, gen->initial_seed);
+    createGeneratorState(gen, gen->state.initial_seed);
-    gen->initf = 1;
+    gen->state.initf = 1;
   }
   return gen;
 }
 
 struct curandStateMtgp32* THCRandom_generatorStates(struct THCState* state)
 {
-  return THCRandom_getGenerator(state)->gen_states;
+  THCGenerator* gen = THCRandom_getGenerator(state);
+  return gen->state.gen_states;
 }
 
 /* Random seed */
@@ -109,8 +114,9 @@ uint64_t THCRandom_seedAll(THCState* state)
 void THCRandom_manualSeed(THCState* state, uint64_t seed)
 {
   THCGenerator* gen = THCRandom_rawGenerator(state);
-  gen->initial_seed = seed;
+  std::lock_guard<std::mutex> lock(gen->mutex);
-  if (gen->initf) {
+  gen->state.initial_seed = seed;
+  if (gen->state.initf) {
     createGeneratorState(gen, seed);
   }
 }
@@ -130,5 +136,6 @@ void THCRandom_manualSeedAll(THCState* state, uint64_t seed)
 /* Get the initial seed */
 uint64_t THCRandom_initialSeed(THCState* state)
 {
-  return THCRandom_getGenerator(state)->initial_seed;
+  THCGenerator* gen = THCRandom_getGenerator(state);
+  return gen->state.initial_seed;
 }

aten/src/THC/THCTensorRandom.cu

@@ -5,6 +5,7 @@
 #include "THCTensorMath.h"
 #include "THCReduceApplyUtils.cuh"
 #include "THCTensorRandom.cuh"
+#include "THCGenerator.h"
 
 #include <thrust/functional.h>
 #include <curand.h>
@@ -18,22 +19,22 @@
 
 THCGenerator* THCRandom_getGenerator(THCState* state);
 
-/* Sets up generator. Allocates but does not create the generator states. */
+/* Sets up generator. Allocates but does not create the generator states. Not thread-safe. */
 __host__ void initializeGenerator(THCState *state, THCGenerator* gen)
 {
-  THCudaCheck(THCudaMalloc(state, (void**)&gen->gen_states, MAX_NUM_BLOCKS * sizeof(curandStateMtgp32)));
+  THCudaCheck(THCudaMalloc(state, (void**)&gen->state.gen_states, MAX_NUM_BLOCKS * sizeof(curandStateMtgp32)));
-  THCudaCheck(THCudaMalloc(state, (void**)&gen->kernel_params, sizeof(mtgp32_kernel_params)));
+  THCudaCheck(THCudaMalloc(state, (void**)&gen->state.kernel_params, sizeof(mtgp32_kernel_params)));
 }
 
-/* Creates a new generator state given the seed. */
+/* Creates a new generator state given the seed. Not thread-safe. */
 __host__ void createGeneratorState(THCGenerator* gen, uint64_t seed)
 {
-  if (curandMakeMTGP32Constants(mtgp32dc_params_fast_11213, gen->kernel_params) != CURAND_STATUS_SUCCESS)
+  if (curandMakeMTGP32Constants(mtgp32dc_params_fast_11213, gen->state.kernel_params) != CURAND_STATUS_SUCCESS)
   {
     THError("Creating MTGP constants failed.");
   }
-  if (curandMakeMTGP32KernelState(gen->gen_states, mtgp32dc_params_fast_11213,
+  if (curandMakeMTGP32KernelState(gen->state.gen_states, mtgp32dc_params_fast_11213,
-                                  gen->kernel_params, MAX_NUM_BLOCKS, seed) != CURAND_STATUS_SUCCESS)
+                                  gen->state.kernel_params, MAX_NUM_BLOCKS, seed) != CURAND_STATUS_SUCCESS)
   {
     THError("Creating MTGP kernel state failed.");
   }
@@ -42,19 +43,20 @@ __host__ void createGeneratorState(THCGenerator* gen, uint64_t seed)
 __host__ void THCRandom_getRNGState(THCState* state, THByteTensor *rng_state)
 {
   THCGenerator* gen = THCRandom_getGenerator(state);
+  std::lock_guard<std::mutex> lock(gen->mutex);
 
   // The RNG state comprises the MTPG32 states, the seed, and an offset used for Philox
   static const size_t states_size = MAX_NUM_BLOCKS * sizeof(curandStateMtgp32);
-  static const size_t seed_size = sizeof(gen->initial_seed);
+  static const size_t seed_size = sizeof(gen->state.initial_seed);
-  static const size_t offset_size = sizeof(gen->philox_seed_offset);
+  static const size_t offset_size = sizeof(gen->state.philox_seed_offset);
   static const size_t total_size = states_size + seed_size + offset_size;
   THByteTensor_resize1d(rng_state, total_size);
   THArgCheck(THByteTensor_nElement(rng_state) == total_size, 1, "RNG state is wrong size");
   THArgCheck(THByteTensor_isContiguous(rng_state), 1, "RNG state must be contiguous");
-  THCudaCheck(cudaMemcpy(THByteTensor_data(rng_state), gen->gen_states,
+  THCudaCheck(cudaMemcpy(THByteTensor_data(rng_state), gen->state.gen_states,
                          states_size, cudaMemcpyDeviceToHost));
-  memcpy(THByteTensor_data(rng_state) + states_size, &gen->initial_seed, seed_size);
+  memcpy(THByteTensor_data(rng_state) + states_size, &gen->state.initial_seed, seed_size);
-  memcpy(THByteTensor_data(rng_state) + states_size + seed_size, &gen->philox_seed_offset, offset_size);
+  memcpy(THByteTensor_data(rng_state) + states_size + seed_size, &gen->state.philox_seed_offset, offset_size);
 }
 
 __global__ void set_rngstate_kernel(curandStateMtgp32 *state, mtgp32_kernel_params *kernel)
@@ -65,10 +67,11 @@ __global__ void set_rngstate_kernel(curandStateMtgp32 *state, mtgp32_kernel_para
 __host__ void THCRandom_setRNGState(THCState* state, THByteTensor *rng_state)
 {
   THCGenerator* gen = THCRandom_getGenerator(state);
+  std::lock_guard<std::mutex> lock(gen->mutex);
 
   static const size_t states_size = MAX_NUM_BLOCKS * sizeof(curandStateMtgp32);
-  static const size_t seed_size = sizeof(gen->initial_seed);
+  static const size_t seed_size = sizeof(gen->state.initial_seed);
-  static const size_t offset_size = sizeof(gen->philox_seed_offset);
+  static const size_t offset_size = sizeof(gen->state.philox_seed_offset);
   static const size_t total_size = states_size + seed_size + offset_size;
   bool no_philox_seed = false;
   if (THByteTensor_nElement(rng_state) == total_size - offset_size) {
@@ -79,16 +82,16 @@ __host__ void THCRandom_setRNGState(THCState* state, THByteTensor *rng_state)
   }
   THArgCheck(THByteTensor_isContiguous(rng_state), 1, "RNG state must be contiguous");
 
-  THCudaCheck(cudaMemcpy(gen->gen_states, THByteTensor_data(rng_state),
+  THCudaCheck(cudaMemcpy(gen->state.gen_states, THByteTensor_data(rng_state),
                          states_size, cudaMemcpyHostToDevice));
   set_rngstate_kernel<<<1, MAX_NUM_BLOCKS, 0, THCState_getCurrentStream(state)>>>(
-      gen->gen_states, gen->kernel_params);
+      gen->state.gen_states, gen->state.kernel_params);
-  memcpy(&gen->initial_seed, THByteTensor_data(rng_state) + states_size, seed_size);
+  memcpy(&gen->state.initial_seed, THByteTensor_data(rng_state) + states_size, seed_size);
   if (!no_philox_seed) {
-    memcpy(&gen->philox_seed_offset, THByteTensor_data(rng_state) + states_size + seed_size, offset_size);
+    memcpy(&gen->state.philox_seed_offset, THByteTensor_data(rng_state) + states_size + seed_size, offset_size);
   }
   else {
-    gen->philox_seed_offset = 0;
+    gen->state.philox_seed_offset = 0;
   }
 }
 

aten/src/THC/THCTensorRandom.h

@@ -6,14 +6,7 @@
 #include "generic/THCTensorRandom.h"
 #include "THCGenerateAllTypes.h"
 
-/* Generator */
+typedef struct THCGenerator THCGenerator;
-typedef struct _Generator {
-  struct curandStateMtgp32* gen_states;
-  struct mtgp32_kernel_params *kernel_params;
-  int initf;
-  uint64_t initial_seed;
-  int64_t philox_seed_offset;
-} THCGenerator;
 
 typedef struct THCRNGState {
   /* One generator per GPU */

aten/src/THC/generic/THCTensorRandom.cu

@@ -16,7 +16,7 @@ THC_API void THCTensor_(uniform)(THCState* state, THCTensor *self_, double a, do
   real *data = THCTensor_(data)(state, self);
 
   generate_uniform<<<NUM_BLOCKS, BLOCK_SIZE, 0, THCState_getCurrentStream(state)>>>(
-      gen->gen_states, size, data, a, b);
+      gen->state.gen_states, size, data, a, b);
 
   THCTensor_(freeCopyTo)(state, self, self_);
 };
@@ -31,7 +31,7 @@ THC_API void THCTensor_(normal)(THCState* state, THCTensor *self_, double mean,
   real *data = THCTensor_(data)(state, self);
 
   generate_normal<<<NUM_BLOCKS, BLOCK_SIZE, 0, THCState_getCurrentStream(state)>>>(
-      gen->gen_states, size, data, mean, stdv);
+      gen->state.gen_states, size, data, mean, stdv);
 
   THCTensor_(freeCopyTo)(state, self, self_);
 };
@@ -70,7 +70,7 @@ THC_API void THCTensor_(logNormal)(THCState* state, THCTensor *self_, double mea
   real *data = THCTensor_(data)(state, self);
 
   generateLogNormal<real><<<NUM_BLOCKS, BLOCK_SIZE, 0, THCState_getCurrentStream(state)>>>(
-      gen->gen_states, size, data, mean, stdv);
+      gen->state.gen_states, size, data, mean, stdv);
 
   THCTensor_(freeCopyTo)(state, self, self_);
 };
@@ -86,7 +86,7 @@ THC_API void THCTensor_(exponential)(THCState* state, THCTensor *self_, double l
   real *data = THCTensor_(data)(state, self);
 
   generate_exponential<<<NUM_BLOCKS, BLOCK_SIZE, 0, THCState_getCurrentStream(state)>>>(
-      gen->gen_states, size, data, lambda);
+      gen->state.gen_states, size, data, lambda);
 
   THCTensor_(freeCopyTo)(state, self, self_);
 };
@@ -102,7 +102,7 @@ THC_API void THCTensor_(cauchy)(THCState* state, THCTensor *self_, double median
   real *data = THCTensor_(data)(state, self);
 
   generate_cauchy<<<NUM_BLOCKS, BLOCK_SIZE, 0, THCState_getCurrentStream(state)>>>(
-      gen->gen_states, size, data, median, sigma);
+      gen->state.gen_states, size, data, median, sigma);
 
   THCTensor_(freeCopyTo)(state, self, self_);
 };
@@ -242,7 +242,7 @@ THC_API void THCTensor_(multinomial)(struct THCState *state,
 
       sampleMultinomialWithReplacement
         <<<grid, block, 0, THCState_getCurrentStream(state)>>>(
-          gen->gen_states,
+          gen->state.gen_states,
           n_sample,
           THCudaLongTensor_data(state, self),
           numDist, numCategories,
@@ -275,7 +275,7 @@ THC_API void THCTensor_(multinomial)(struct THCState *state,
         // recalculate our distribution
         sampleMultinomialWithoutReplacement
           <<<grid, block, 0, THCState_getCurrentStream(state)>>>(
-            gen->gen_states,
+            gen->state.gen_states,
             n_sample,
             sample,
             THCudaLongTensor_data(state, self),
@@ -412,7 +412,7 @@ THC_API void THCTensor_(bernoulli)(THCState* state, THCTensor *self_, double p)
   real *data = THCTensor_(data)(state, self);
 
   generate_bernoulli<<<NUM_BLOCKS, BLOCK_SIZE, 0, THCState_getCurrentStream(state)>>>(
-      gen->gen_states, size, data, p);
+      gen->state.gen_states, size, data, p);
 
   THCTensor_(freeCopyTo)(state, self, self_);
 };
@@ -443,7 +443,7 @@ THC_API void THCTensor_(NAME)(THCState* state,                                 \
   THArgCheck(size == prob_size, 3, "inconsistent tensor size");                \
                                                                                \
   generate_bernoulli_tensor<<<NUM_BLOCKS, BLOCK_SIZE, 0, THCState_getCurrentStream(state)>>>( \
-      gen->gen_states, size, result_data, probs_data);                         \
+      gen->state.gen_states, size, result_data, probs_data);                         \
                                                                                \
   PROB_TYPE##_free(state, probs);                                              \
   THCTensor_(freeCopyTo)(state, self, self_);                                  \
@@ -483,7 +483,7 @@ THC_API void THCTensor_(geometric)(THCState* state, THCTensor *self_, double p)
   real *data = THCTensor_(data)(state, self);
 
   generate_geometric<<<NUM_BLOCKS, BLOCK_SIZE, 0, THCState_getCurrentStream(state)>>>(
-      gen->gen_states, size, data, p);
+      gen->state.gen_states, size, data, p);
 
   THCTensor_(freeCopyTo)(state, self, self_);
 };
@@ -504,11 +504,11 @@ THC_API void THCTensor_(clampedRandom)(THCState* state, THCTensor *self_, int64_
 #if defined(THC_REAL_IS_LONG) || defined(THC_REAL_IS_DOUBLE) || defined(THC_REAL_IS_FLOAT)
   if (range > 1ULL << 32) {
     generate_random_64<<<NUM_BLOCKS, BLOCK_SIZE, 0, THCState_getCurrentStream(state)>>>(
-        gen->gen_states, size, data, min_val, range);
+        gen->state.gen_states, size, data, min_val, range);
   } else {
 #endif
     generate_random<<<NUM_BLOCKS, BLOCK_SIZE, 0, THCState_getCurrentStream(state)>>>(
-        gen->gen_states, size, data, min_val, range);
+        gen->state.gen_states, size, data, min_val, range);
 #if defined(THC_REAL_IS_LONG) || defined(THC_REAL_IS_DOUBLE) || defined(THC_REAL_IS_FLOAT)
   }
 #endif
@@ -534,19 +534,19 @@ THC_API void THCTensor_(random)(THCState* state, THCTensor *self_)
 
 #if defined(THC_REAL_IS_HALF)
   generate_random<<<NUM_BLOCKS, BLOCK_SIZE, 0, THCState_getCurrentStream(state)>>>(
-      gen->gen_states, size, data, 0UL, (1UL << HLF_MANT_DIG) + 1);
+      gen->state.gen_states, size, data, 0UL, (1UL << HLF_MANT_DIG) + 1);
 #elif defined(THC_REAL_IS_FLOAT)
   generate_random<<<NUM_BLOCKS, BLOCK_SIZE, 0, THCState_getCurrentStream(state)>>>(
-      gen->gen_states, size, data, 0UL, (1UL << FLT_MANT_DIG) + 1);
+      gen->state.gen_states, size, data, 0UL, (1UL << FLT_MANT_DIG) + 1);
 #elif defined(THC_REAL_IS_DOUBLE)
   generate_random_64<<<NUM_BLOCKS, BLOCK_SIZE, 0, THCState_getCurrentStream(state)>>>(
-      gen->gen_states, size, data, 0ULL, (1ULL << DBL_MANT_DIG) + 1);
+      gen->state.gen_states, size, data, 0ULL, (1ULL << DBL_MANT_DIG) + 1);
 #elif defined(THC_REAL_IS_LONG)
   generate_random_64<<<NUM_BLOCKS, BLOCK_SIZE, 0, THCState_getCurrentStream(state)>>>(
-      gen->gen_states, size, data, 0ULL, static_cast<uint64_t>(std::numeric_limits<real>::max()) + 1);
+      gen->state.gen_states, size, data, 0ULL, static_cast<uint64_t>(std::numeric_limits<real>::max()) + 1);
 #else
   generate_random<<<NUM_BLOCKS, BLOCK_SIZE, 0, THCState_getCurrentStream(state)>>>(
-      gen->gen_states, size, data, 0UL, static_cast<uint32_t>(std::numeric_limits<real>::max()) + 1);
+      gen->state.gen_states, size, data, 0UL, static_cast<uint32_t>(std::numeric_limits<real>::max()) + 1);
 #endif
 
   THCTensor_(freeCopyTo)(state, self, self_);

aten/tools/run_tests.sh

@@ -16,6 +16,9 @@ $BUILD_ROOT/src/ATen/test/undefined_tensor_test
 if [[ -x $BUILD_ROOT/src/ATen/test/cudnn_test ]]; then
   $BUILD_ROOT/src/ATen/test/cudnn_test
 fi
+if [[ -x $BUILD_ROOT/src/ATen/test/cuda_rng_test ]]; then
+  $BUILD_ROOT/src/ATen/test/cuda_rng_test
+fi
 if [ "$VALGRIND" == "ON" ]
 then
   valgrind --suppressions=`dirname $0`/valgrind.sup --error-exitcode=1 $BUILD_ROOT/src/ATen/test/basic "[cpu]"

tools/test_aten_install.sh

@@ -3,7 +3,7 @@ set -xe
 mkdir aten_build aten_install
 cd aten_build
 cmake ../aten -DNO_CUDA=1 -DCMAKE_INSTALL_PREFIX=../aten_install
-make -j32 install
+NUM_JOBS="$(getconf _NPROCESSORS_ONLN)"
-../aten/tools/run_tests.sh .
+make -j"$NUM_JOBS" install
 cd ..
 aten/tools/test_install.sh $(pwd)/aten_install $(pwd)/aten