Hi,
I am having a very hard time converting tf models to trt via. How to know where (which operator) the problem comes from when reading trtexec --verbose?
For example, this excerpt from debug infor:
[03/29/2021-06:53:12] [V] [TRT] Registering layer: strided_slice_1 for ONNX node: strided_slice_1
[03/29/2021-06:53:12] [V] [TRT] Registering tensor: strided_slice_1:0 for ONNX tensor: strided_slice_1:0
[03/29/2021-06:53:12] [V] [TRT] strided_slice_1 [Slice] outputs: [strided_slice_1:0 → (1, 512, 512, 3)],
[03/29/2021-06:53:12] [V] [TRT] Parsing node: strided_slice_1__9 [Squeeze]
[03/29/2021-06:53:12] [V] [TRT] Searching for input: strided_slice_1:0
[03/29/2021-06:53:12] [V] [TRT] Searching for input: const_starts__1673
[03/29/2021-06:53:12] [V] [TRT] strided_slice_1__9 [Squeeze] inputs: [strided_slice_1:0 → (1, 512, 512, 3)], [const_starts__1673 → (1)],
terminate called after throwing an instance of ‘std::out_of_range’
what(): Attribute not found: axes
Does this mean that strided_slice_1__9 [Squeeze] inputs: [strided_slice_1:0 → (1, 512, 512, 3)], [const_starts__1673 → (1)] has problem? How to check value of strided_slice_1__9 [Squeeze] inputs if it is the case?
I have this problem when converting efficientdet-d0 to trt engine via onnx using op13.