tensorflowtensorrt

TensorRT and Tensorflow 2

I am trying to speed up the inference of yolov3 TF2 with TensorRT. I am using the TrtGraphConverter function in tensorflow 2.

My code is essentially this: 

from tensorflow.python.compiler.tensorrt import trt_convert as trt

tf.keras.backend.set_learning_phase(0)
converter = trt.TrtGraphConverter(
    input_saved_model_dir="./tmp/yolosaved/",
    precision_mode="FP16",
    is_dynamic_op=True)
converter.convert()


saved_model_dir_trt = "./tmp/yolov3.trt"
converter.save(saved_model_dir_trt)

And this generates the following error: 

Traceback (most recent call last):
  File "/home/pierre/Programs/anaconda3/envs/Deep2/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 427, in import_graph_def
    graph._c_graph, serialized, options)  # pylint: disable=protected-access
tensorflow.python.framework.errors_impl.InvalidArgumentError: Input 1 of node StatefulPartitionedCall was passed float from conv2d/kernel:0 incompatible with expected resource.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/pierre/Documents/GitHub/yolov3-tf2/tensorrt.py", line 23, in <module>
    converter.save(saved_model_dir_trt)
  File "/home/pierre/Programs/anaconda3/envs/Deep2/lib/python3.6/site-packages/tensorflow/python/compiler/tensorrt/trt_convert.py", line 822, in save
    super(TrtGraphConverter, self).save(output_saved_model_dir)
  File "/home/pierre/Programs/anaconda3/envs/Deep2/lib/python3.6/site-packages/tensorflow/python/compiler/tensorrt/trt_convert.py", line 432, in save
    importer.import_graph_def(self._converted_graph_def, name="")
  File "/home/pierre/Programs/anaconda3/envs/Deep2/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
    return func(*args, **kwargs)
  File "/home/pierre/Programs/anaconda3/envs/Deep2/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 431, in import_graph_def
    raise ValueError(str(e))
ValueError: Input 1 of node StatefulPartitionedCall was passed float from conv2d/kernel:0 incompatible with expected resource.

Does this mean that some of my nodes can't be converted? In this case, why does my code error out during the .save step?

Solution

  • I ended up solving this issue with the following code. Also I switched from tf 2.0.-beta0 to tf-nightly-gpu-2.0-preview

    params = trt.DEFAULT_TRT_CONVERSION_PARAMS._replace(
    precision_mode='FP16',
    is_dynamic_op=True)
    
converter = trt.TrtGraphConverterV2(
    input_saved_model_dir=saved_model_dir,
    conversion_params=params)
converter.convert()
saved_model_dir_trt = "/tmp/model.trt"
converter.save(saved_model_dir_trt)

    thanks for your help