tensorrt-cu13-bindings

import tensorrt as trt import numpy as np # A simple example: create a dummy network and engine TRT_LOGGER = trt.Logger(trt.Logger.WARNING) def build_engine(): builder = trt.Builder(TRT_LOGGER) network = builder.create_network(1 << int(trt.NetworkDefinitionCreationFlag.EXPLICIT_BATCH)) config = builder.create_builder_config() # Define input tensor input_tensor = network.add_input(name='input_data', dtype=trt.float32, shape=(1, 3, 224, 224)) # Define a simple operation (e.g., identity for demonstration) output_tensor = input_tensor # Mark output network.mark_output(output_tensor) # Build engine (requires GPU and sufficient memory) print("Building TensorRT engine...") serialized_engine = builder.build_serialized_network(network, config) if serialized_engine is None: raise RuntimeError("Failed to build TensorRT engine.") print("Engine built successfully.") return serialized_engine if __name__ == '__main__': try: serialized_engine = build_engine() runtime = trt.Runtime(TRT_LOGGER) engine = runtime.deserialize_cuda_engine(serialized_engine) print(f"Engine name: {engine.name}") print(f"Number of bindings: {engine.num_bindings}") except Exception as e: print(f"An error occurred: {e}") print("Ensure you have a compatible NVIDIA GPU, CUDA Toolkit, and cuDNN installed.")