I am trying out a notebook in Google Collab and cannot figure out how to run trtexec inside of it.
I did a pip install tensorrt and trtexec is not found.
I git cloned the tensorRT github but when I go to samples/trtexec make says it has no targets and no makefile.
How do I run trtexec???
Hi @wlf2 ,
Unfortunately, you cannot run trtexec directly in Google Colab because it is a command-line tool that requires a Linux environment. Google Colab provides a Jupyter notebook environment, which is not compatible with command-line tools like trtexec.
However, you can use the TensorRT Python API to achieve similar functionality to trtexec in your Google Colab notebook. The TensorRT Python API provides a Python interface to the TensorRT SDK, allowing you to build, optimize, and execute neural networks using Python.
To use the TensorRT Python API, you need to import the tensorrt module in your Python code and use its functions to build and execute your neural network.
Here’s an example code snippet to get you started:
import tensorrt as trt
# Create a TensorRT logger
logger = trt.Logger(trt.Logger.INFO)
# Create a TensorRT runtime
runtime = trt.Runtime(logger)
# Load your ONNX model
model = trt.OnnxModel('your_model.onnx')
# Create a TensorRT engine
engine = runtime.create_engine(model, logger)
# Allocate memory for input and output tensors
inputs = []
outputs = []
for binding in engine.get_bindings():
if engine.binding_is_input(binding):
inputs.append(trt.Tensor(engine.get_binding_dtype(binding), engine.get_binding_shape(binding)))
else:
outputs.append(trt.Tensor(engine.get_binding_dtype(binding), engine.get_binding_shape(binding)))
# Execute the engine
context = engine.create_execution_context()
context.execute_async_v2(inputs, outputs)
This code snippet assumes that you have an ONNX model file named your_model.onnx in the same directory as your Google Colab notebook. You need to modify the code to match your specific use case.