Was this issue resolved? I’m getting the same error when I’m trying to run TensorRT on google colab…
This is my code…
//========================================================
!pip install pillow matplotlib
!pip install tensorflow
print("Tensorflow version: ", tf.version.VERSION)
Load a pre-trained model (e.g., ResNet50)
model = tf.keras.applications.ResNet50(weights=“imagenet”)
model.save(“/content/sample_data/resnet50.keras”) # Save the model
TensorRT conversion parameters
conversion_params = trt.DEFAULT_TRT_CONVERSION_PARAMS._replace(precision_mode=“FP16”)
converter = trt.TrtGraphConverterV2(
input_saved_model_dir=“resnet50_saved_model”,
conversion_params=conversion_params,
)
converter.convert()
converter.save(“resnet50_trt_model”)
print(“TensorRT optimized model saved!”)
//==========================================================
So the tensorflow version is 2.17.1
RuntimeError: Tensorflow has not been built with TensorRT support.
And this is the error I’m getting.
Thanks in advance!!!
Br,
Raghu