Hi,there.
An error occured when I convert my tensorflow model (saved as .pb file) to uff model.
error log like this:
Using output node final/lanenet_loss/instance_seg
Using output node final/lanenet_loss/binary_seg
Converting to UFF graph
Warning: No conversion function registered for layer: Slice yet.
Converting as custom op Slice final/lanenet_loss/Slice
name: "final/lanenet_loss/Slice"
op: "Slice"
input: "final/lanenet_loss/Shape_1"
input: "final/lanenet_loss/Slice/begin"
input: "final/lanenet_loss/Slice/size"
attr {
key: "Index"
value {
type: DT_INT32
}
}
attr {
key: "T"
value {
type: DT_INT32
}
}
Traceback (most recent call last):
File "tfpb_to_uff.py", line 16, in <module>
uff_model = uff.from_tensorflow(graphdef=output_graph_def, output_filename=output_path, output_nodes=["final/lanenet_loss/instance_seg", "final/lanenet_loss/binary_seg"], text=True)
File "/home/dream/.local/lib/python3.5/site-packages/uff/converters/tensorflow/conversion_helpers.py", line 75, in from_tensorflow
name="main")
File "/home/dream/.local/lib/python3.5/site-packages/uff/converters/tensorflow/converter.py", line 64, in convert_tf2uff_graph
uff_graph, input_replacements)
File "/home/dream/.local/lib/python3.5/site-packages/uff/converters/tensorflow/converter.py", line 51, in convert_tf2uff_node
op, name, tf_node, inputs, uff_graph, tf_nodes=tf_nodes)
File "/home/dream/.local/lib/python3.5/site-packages/uff/converters/tensorflow/converter.py", line 28, in convert_layer
fields = cls.parse_tf_attrs(tf_node.attr)
File "/home/dream/.local/lib/python3.5/site-packages/uff/converters/tensorflow/converter.py", line 177, in parse_tf_attrs
for key, val in attrs.items()}
File "/home/dream/.local/lib/python3.5/site-packages/uff/converters/tensorflow/converter.py", line 177, in <dictcomp>
for key, val in attrs.items()}
File "/home/dream/.local/lib/python3.5/site-packages/uff/converters/tensorflow/converter.py", line 172, in parse_tf_attr_value
return cls.convert_tf2uff_field(code, val)
File "/home/dream/.local/lib/python3.5/site-packages/uff/converters/tensorflow/converter.py", line 146, in convert_tf2uff_field
return TensorFlowToUFFConverter.convert_tf2numpy_dtype(val)
File "/home/dream/.local/lib/python3.5/site-packages/uff/converters/tensorflow/converter.py", line 74, in convert_tf2numpy_dtype
return np.dtype(dt[dtype])
TypeError: list indices must be integers or slices, not AttrValue
It meaning that TensorRT doesn’t support layer: Slice yet,
but gays you know, the operation Slice of tensorflow is a basic operation. It is strange that an basic operation of tensorflow unsupported by TensorRT.
As for operation Slice, can refer to tensorflow::ops::Slice
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/slice
How can I proceed my converstion?