python 版本tensorrt推理
时间: 2023-12-01 13:03:35 浏览: 73
可以使用 TensorRT Python API 进行推理,需要安装 pycuda 和 tensorrt 库。下面是一个简单的例子:
```python
import pycuda.driver as cuda
import pycuda.autoinit
import tensorrt as trt
# Load the serialized engine from file
with open(engine_path, "rb") as f, trt.Runtime(TRT_LOGGER) as runtime:
engine = runtime.deserialize_cuda_engine(f.read())
# Create context for inference
with engine.create_execution_context() as context:
# Allocate device memory for inputs and outputs
inputs, outputs, bindings = allocate_buffers(engine)
# Set input data
inputs[0].host = input_data
# Do inference
trt_outputs = do_inference(context, bindings=bindings, inputs=inputs, outputs=outputs)
# Get output data
output_data = trt_outputs[0].host
```
阅读全文