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"Plugin not found, are the plugin name, version, and namespace correct?" Error #800

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doruksonmez opened this issue Feb 3, 2022 · 1 comment
Open

"Plugin not found, are the plugin name, version, and namespace correct?" Error #800

doruksonmez opened this issue Feb 3, 2022 · 1 comment
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enhancement New feature or request triaged Issue has been triaged by maintainers

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@doruksonmez
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Description

Hi all. I am currently trying to convert Faster RCNN models from TF2 Model Zoo from saved model to TensorRT engine. It is mainly related to Unsupported ONNX data type: UINT8(2) error but I solved it using the following snippet from ELinux: Unsupported ONNX data type: UINT8(2) Fix.

Now I'm having another issue after solving it when I try to convert fixed ONNX model to TensorRT engine using trtexec. I get the following errors:

[E] [TRT] 3: getPluginCreator could not find plugin: Round version: 1
[E] [TRT] ModelImporter.cpp:720: While parsing node number 12 [If -> "StatefulPartitionedCall/Preprocessor/ResizeToRange/cond:0"]:
[E] [TRT] ModelImporter.cpp:721: --- Begin node ---
[E] [TRT] ModelImporter.cpp:722: input: "StatefulPartitionedCall/Preprocessor/ResizeToRange/Less:0"
...
[8] Assertion failed: creator && "Plugin not found, are the plugin name, version, and namespace correct?"`

Environment

TensorRT Version: 8.0.3
ONNX-TensorRT Version / Branch:
GPU Type: RTX 3090
Nvidia Driver Version: 470
CUDA Version: 11.3
CUDNN Version: 8.2.4
Operating System + Version: Ubuntu 20.04
Python Version (if applicable): 3.8
TensorFlow + TF2ONNX Version (if applicable): TF 2.6.0 + TF2ONN 1.9.3/1190aa
PyTorch Version (if applicable):
Baremetal or Container (if container which image + tag): nvcr.io/nvidia/tensorflow:21.10-tf2-py3

Relevant Files

Steps To Reproduce

From SavedModel to ONNX

python3 -m tf2onnx.convert --saved-model faster_rcnn_resnet50_v1_800x1333_coco17_gpu-8/saved_model --output faster_rcnn_resnet50_v1_800x133_trt.onnx --opset 11 --signature_def serving_default --tag serve --target tensorrt

2022-02-03 06:11:51,636 - INFO - Signatures found in model: [serving_default].
2022-02-03 06:11:51,637 - INFO - Output names: ['detection_anchor_indices', 'detection_boxes', 'detection_classes', 'detection_multiclass_scores', 'detection_scores', 'num_detections', 'raw_detection_boxes', 'raw_detection_scores']
WARNING:tensorflow:From /usr/local/lib/python3.8/dist-packages/tf2onnx/tf_loader.py:706: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.compat.v1.graph_util.extract_sub_graph`
2022-02-03 06:12:00,428 - WARNING - From /usr/local/lib/python3.8/dist-packages/tf2onnx/tf_loader.py:706: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.compat.v1.graph_util.extract_sub_graph`
2022-02-03 06:12:03,281 - INFO - Using tensorflow=2.6.0, onnx=1.10.2, tf2onnx=1.9.3/1190aa
2022-02-03 06:12:03,281 - INFO - Using opset <onnx, 11>
2022-02-03 06:12:06,739 - INFO - Computed 0 values for constant folding
2022-02-03 06:12:06,742 - INFO - Computed 0 values for constant folding
2022-02-03 06:12:09,388 - INFO - Computed 4 values for constant folding
2022-02-03 06:12:13,661 - INFO - folding node using tf type=ConcatV2, name=StatefulPartitionedCall/GridAnchorGenerator/concat
2022-02-03 06:12:13,662 - INFO - folding node using tf type=Select, name=StatefulPartitionedCall/BatchMultiClassNonMaxSuppression/PadOrClipBoxList/Select_1
2022-02-03 06:12:13,663 - INFO - folding node using tf type=Select, name=StatefulPartitionedCall/SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/PadOrClipBoxList/Select_1
2022-02-03 06:12:13,663 - INFO - folding node using tf type=Select, name=StatefulPartitionedCall/SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/PadOrClipBoxList/Select_8
2022-02-03 06:12:18,615 - INFO - Optimizing ONNX model
2022-02-03 06:12:40,777 - INFO - After optimization: Add -91 (423->332), BatchNormalization -53 (53->0), Cast -772 (2153->1381), Concat -98 (324->226), Const -4123 (4514->391), Equal -90 (100->10), GlobalAveragePool +1 (0->1), Identity -181 (182->1), Mul -94 (537->443), ReduceMean -2 (2->0), ReduceSum -91 (93->2), Reshape -98 (403->305), Shape -95 (302->207), Slice -13 (431->418), Split -3 (37->34), Squeeze -24 (467->443), Sub -95 (225->130), Transpose -221 (246->25), Unsqueeze -224 (471->247)
2022-02-03 06:12:41,395 - INFO - 
2022-02-03 06:12:41,395 - INFO - Successfully converted TensorFlow model /root/tf2_models/faster_rcnn_resnet50_v1_800x1333_coco17_gpu-8/saved_model to ONNX
2022-02-03 06:12:41,395 - INFO - Model inputs: ['input_tensor']
2022-02-03 06:12:41,395 - INFO - Model outputs: ['detection_anchor_indices', 'detection_boxes', 'detection_classes', 'detection_multiclass_scores', 'detection_scores', 'num_detections', 'raw_detection_boxes', 'raw_detection_scores']
2022-02-03 06:12:41,395 - INFO - ONNX model is saved at /root/tf2_models/faster_rcnn_resnet50_v1_800x1333_trt/faster_rcnn_resnet50_v1_800x133_trt.onnx

From ONNX to TensorRT

trtexec --onnx=/root/tf2_models/faster_rcnn_resnet50_v1_800x1333_trt/faster_rcnn_resnet50_v1_800x133_trt.onnx --fp16 --buildOnly --saveEngine=/root/tf2_models/faster_rcnn_resnet50_v1_800x1333_trt/faster_rcnn_resnet50_v1_800x133_trt.trt

[02/03/2022-06:14:51] [W] [TRT] onnx2trt_utils.cpp:364: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[02/03/2022-06:14:51] [W] [TRT] onnx2trt_utils.cpp:390: One or more weights outside the range of INT32 was clamped
[02/03/2022-06:14:51] [W] [TRT] onnx2trt_utils.cpp:390: One or more weights outside the range of INT32 was clamped
[02/03/2022-06:14:51] [I] [TRT] No importer registered for op: Round. Attempting to import as plugin.
[02/03/2022-06:14:51] [I] [TRT] Searching for plugin: Round, plugin_version: 1, plugin_namespace: 
[02/03/2022-06:14:51] [E] [TRT] 3: getPluginCreator could not find plugin: Round version: 1
[02/03/2022-06:14:51] [E] [TRT] ModelImporter.cpp:720: While parsing node number 12 [If -> "StatefulPartitionedCall/Preprocessor/ResizeToRange/cond:0"]:
[02/03/2022-06:14:51] [E] [TRT] ModelImporter.cpp:721: --- Begin node ---
[02/03/2022-06:14:51] [E] [TRT] ModelImporter.cpp:722: input: "StatefulPartitionedCall/Preprocessor/ResizeToRange/Less:0"
output: "StatefulPartitionedCall/Preprocessor/ResizeToRange/cond:0"
name: "StatefulPartitionedCall/Preprocessor/ResizeToRange/cond"
op_type: "If"
attribute {
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      name: "__inference_Preprocessor_ResizeToRange_cond_true_12975_1960_Preprocessor/ResizeToRange/cond/resize/ExpandDims"
      op_type: "Unsqueeze"
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      op_type: "Slice"
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      output: "__inference_Preprocessor_ResizeToRange_cond_true_12975_1960_Preprocessor/ResizeToRange/cond/resize/unstack:1"
      output: "__inference_Preprocessor_ResizeToRange_cond_true_12975_1960_Preprocessor/ResizeToRange/cond/resize/unstack:2"
      output: "__inference_Preprocessor_ResizeToRange_cond_true_12975_1960_Preprocessor/ResizeToRange/cond/resize/unstack:3"
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[02/03/2022-06:14:51] [E] [TRT] ModelImporter.cpp:723: --- End node ---
[02/03/2022-06:14:51] [E] [TRT] ModelImporter.cpp:726: ERROR: builtin_op_importers.cpp:4643 In function importFallbackPluginImporter:
[8] Assertion failed: creator && "Plugin not found, are the plugin name, version, and namespace correct?"
[02/03/2022-06:14:51] [E] Failed to parse onnx file
[02/03/2022-06:14:51] [I] Finish parsing network model
[02/03/2022-06:14:51] [E] Parsing model failed
[02/03/2022-06:14:51] [E] Engine creation failed
[02/03/2022-06:14:51] [E] Engine set up failed
&&&& FAILED TensorRT.trtexec [TensorRT v8003] # trtexec --onnx=/root/tf2_models/faster_rcnn_resnet50_v1_800x1333_trt/faster_rcnn_resnet50_v1_800x133_trt_updated.onnx --fp16 --workspace=64 --buildOnly --saveEngine=/root/tf2_models/faster_rcnn_resnet50_v1_800x1333_trt/faster_rcnn_resnet50_v1_800x133_trt.trt
@kevinch-nv kevinch-nv added enhancement New feature or request triaged Issue has been triaged by maintainers labels Feb 7, 2022
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TensorRT does not support the Round operation yet. TRT will attempt to load user-defined plugins if an operator is not supported, which is why the following error message appears.

[E] [TRT] 3: getPluginCreator could not find plugin: Round version: 1

The operator will be supported in a future release

@kelkarn kelkarn mentioned this issue Sep 25, 2024
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@doruksonmez @kevinch-nv