#include "./helper.h"
#include "megbrain/imperative/ops/autogen.h"
#include "megbrain/opr/mm_handler.h"
using namespace mgb;
using namespace imperative;
TEST(TestImperative, IORemote) {
REQUIRE_GPU(2);
const char* server_addr = "127.0.0.1";
uint32_t port = 4567;
mgb_assert(opr::create_zmqrpc_server(server_addr, port) > 0);
HostTensorGenerator<> gen;
CompNode cn0 = CompNode::load("gpu0"), cn1 = CompNode::load("gpu1");
size_t vector_size = 233;
auto host_x = gen({vector_size}, cn0), host_y = gen({vector_size}, cn1);
auto expect = gen({vector_size});
for (size_t i = 0; i < vector_size; ++i) {
expect->ptr<float>()[i] = host_x->ptr<float>()[i];
}
auto run_send = [&](std::shared_ptr<HostTensorND> hnd) {
auto def = imperative::RemoteSend::make(
"io_remote_test", server_addr, port, 1, "nccl");
auto inp = Tensor::make(*hnd);
SmallVector<LogicalTensorDesc> output_descs;
auto oup = OpDef::apply_on_physical_tensor(*def, {inp}, output_descs, false);
};
auto run_recv = [&](std::shared_ptr<HostTensorND> hnd) {
auto def = imperative::RemoteRecv::make(
"io_remote_test", server_addr, port, 0, CompNode::load("gpu1"),
std::vector<int32_t>{(int32_t)vector_size}, dtype::Float32(), "nccl");
auto inp = Tensor::make(*hnd);
SmallVector<LogicalTensorDesc> output_descs;
auto oup = OpDef::apply_on_physical_tensor(*def, {inp}, output_descs, false);
HostTensorND host_v;
host_v.copy_from(oup[0]->dev_tensor()).sync();
MGB_ASSERT_TENSOR_NEAR(*expect, host_v, 1e-6);
};
std::thread t0(std::bind(run_send, host_x));
std::thread t1(std::bind(run_recv, host_y));
t0.join();
t1.join();
}