— End node —
ERROR: /home/erisuser/p4sw/sw/gpgpu/MachineLearning/DIT/release/5.0/parsers/onnxOpenSource/ModelImporter.cpp:142 In function importNode:
[8] No importer registered for op: Gather
ERROR: could not parse input engine.
Update: a quick fix for a Pytorch Resnet was to stop computing the batch size with tensor.size, which seems to be introducing these ops into the graph. Try hardcoding the batch size.
Hi guys , Is it be solved?I also meet the same problem:
[8] No importer registered for op: Gather
ERROR: failed to parse onnx file
i run it on tx2. but tx2 the lastest version just support tensorRT5.0. I can not install tensorRT5.1 on tx2.Because these files are compiled for x86-64 architecture not arm64 which TX2 used. Please help me. Thanks first!
Hi @NVES, how can we know if we are using onnxparser that comes with TRT or not?. In my case I am using TRT 7.0.0, I have applied ONNX GS to replace nms nodes in the YOLOV3 model with the TRT plugin BatchedNMS_TRT, and then used trtexec to convert the updated onnx model to trt engine but I am getting the error {8] No importer registered for op: BatchedNMS_TRT even though the plugin is supported in TRT7.0.0, see here:
[02/03/2021-22:41:50] [W] [TRT] /workspace/onnx-tensorrt/onnx2trt_utils.cpp:235: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[02/03/2021-22:41:50] [W] [TRT] /workspace/onnx-tensorrt/onnx2trt_utils.cpp:261: One or more weights outside the range of INT32 was clamped
[02/03/2021-22:41:50] [W] [TRT] /workspace/onnx-tensorrt/onnx2trt_utils.cpp:261: One or more weights outside the range of INT32 was clamped
While parsing node number 467 [BatchedNMS_TRT]:
ERROR: /workspace/onnx-tensorrt/ModelImporter.cpp:134 In function parseGraph:
[8] No importer registered for op: BatchedNMS_TRT
[02/03/2021-22:41:50] [E] Failed to parse onnx file
[02/03/2021-22:41:50] [E] Parsing model failed
[02/03/2021-22:41:50] [E] Engine creation failed
[02/03/2021-22:41:50] [E] Engine set up failed
&&&& FAILED TensorRT.trtexec # trtexec --onnx=onnx-tensorrt/models/yolov3-10-with-plugin.onnx --saveEngine=/workspace/onnx-tensorrt/models/optimized_yolov3.trt --int8