# TVM ROCm RPC This folder contains a simple recipe to make RPC work together with ROCm.TVM's RPC server relies on process fork to create a new process for each incoming session. Like CUDA, opencl driver, the runtime ROCm runtime is not fork-safe. A typical CUDA or opencl driver will initialize lazily and we can use normal TVM RPC server because we won't touch the driver API before we fork a new session. However, the current ROCm runtime eagerly initialize during startup and will directly cause error during fork. This folder provides a workaround to this problem. ## Usage - Build tvm **without** rocm (it is important to exclude rocm from runtime) - Modify the ROCM_PATH to be the correct path the current [Makefile](Makefile) - Type make to build lib/libtvm_runtime_rocm.so, which is a standalone dll module - Use [start_rpc_server.sh](start_rpc_server.sh) to start the RPC server ## How it works - The RPC server starts without ROCm dependency. - lib/libtvm_runtim_rocm.so is dynamically loaded only after the fork. ## Note With ROCm RPC, we can build AMDGPU program from a machine without AMD GPU and remotely upload and execute on a AMDGPU machine. Please note that you will need to set the gfx version correctly(via ```-model``` or ```-mcpu```) because we can no longer query the GPU version dynamically during runtime. ```python import tvm from tvm.contrib import rpc # set mcpu explicitly to be the gpu version. target = "rocm -mcpu=gfx900" remote = rpc.connect(server_host, server_port) mod = tvm.build(s, args, target) mod.export_library("mylib.so") remote.upload("mylib.so") foo = remote.load_module("mylib.so") # same as normal RPC ```