init_libnvinfer_plugins(TRT_LOGGER, '') gn_plugin_creator = trt.get_plugin_registry().get_plugin_creator('GroupNorm', "1") def group_norm(network, weight_map, h, pre, epsilon=EPS, silu=False): ch = h.get_output(0).shape[1] # plugin_creator = trt.get_plugin_registry().get_...
(trt.Logger.INFO)trt.init_libnvinfer_plugins(TRT_LOGGER,'')runtime=trt.Runtime(TRT_LOGGER)# deserialize enginewithopen(trt_engine_path,'rb')asf:buf=f.read()engine=runtime.deserialize_cuda_engine(buf)context=engine.create_execution_context()# prepare bufferhost_inputs=[]cuda_inputs=[]host...
// colorMap = get_color_map(); //init engine initLibNvInferPlugins(&gLogger, ""); cudaSetDevice(0); runtime = createInferRuntime(gLogger); float data[INPUT_H * INPUT_W * 3]; for (int i = 0; i < INPUT_H * INPUT_W * 3; i++) data[i] = 1.0; assert(runtime != nullptr...
initLibNvInferPlugins(mLogger, ""); mRuntime = nvinfer1::createInferRuntime(*mLogger); mEngine = mRuntime->deserializeCudaEngine((void*)engineBuf.get(), bufCount); assert(mEngine != nullptr); mBatchSize = mEngine->getMaxBatchSize(); ...
AllgatherPlugin::enqueue(nvinfer1::PluginTensorDesc const*, nvinfer1::PluginTensorDesc const*, void const* const*, void* const*, void*, CUstream_st*) () from /home/askhoroshev/trtllm_github/TensorRT-LLM/cpp/build/tensorrt_llm/plugins/libnvinfer_plugin_tensorrt_llm.so #7 0x00007f13c73d...
initLibNvInferPlugins(&mLogger, ""); mRuntime = nvinfer1::createInferRuntime(mLogger); mEngine = mRuntime->deserializeCudaEngine((void*)engineBuf.get(), bufCount, nullptr); assert(mEngine != nullptr); mBatchSize = mEngine->getMaxBatchSize(); ...
(trt.Logger.ERROR) trt.init_libnvinfer_plugins(logger, '') if len(soFileList) > 0: print("Find Plugin %s!"%soFileList) else: print("No Plugin!") for soFile in soFileList: ctypes.cdll.LoadLibrary(soFile) def gen_decoder_mask(q_lens, kv_lens, q_max_len, kv_max_len): batch_...
(trt_runtime, engine_path): trt.init_libnvinfer_plugins(None, "") with open(engine_path, 'rb') as f: engine_data = f.read() engine = trt_runtime.deserialize_cuda_engine(engine_data) return engine def allocate_buffers(self): inputs = [] outputs = [] bindings = [] stream = ...
UNAVAILABLE: Not found: unable to load shared library: libnvinfer_plugin_tensorrt_llm.so.9: cannot open shared object file additional notes The librarylibnvinfer_plugin_tensorrt_llm.sois available find / -name "libnvinfer_plugin_tensorrt_llm*" ...
(trt.Logger.INFO) if verbose: self.trt_logger.min_severity = trt.Logger.Severity.VERBOSE trt.init_libnvinfer_plugins(self.trt_logger, namespace="") self.builder = trt.Builder(self.trt_logger) self.config = self.builder.create_builder_config() self.config.max_workspace_size = 8 * (2 *...