Full error: [TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
Description
This is my first attempt at using TensorRT after running through your brain segmentation demo and I have run head first into an issue.
What I am trying to do is build an engine from a Torchvision Faster-RCNN model which I have converted to an ONNX model.
However, when I try and build the model I receive the following error:
[TensorRT] ERROR: 4: [network.cpp::validate::2361] Error Code 4: Internal Error (Network must have at least one output)
which I am guessing is caused by:
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
I have tried to set the output with:
last_layer = network.get_layer(network.num_layers - 1)
# Check if last layer recognizes it's output
if not last_layer.get_output(0):
# If not, then mark the output using TensorRT API
network.mark_output(last_layer.get_output(0))
But it did not help.
When I attach a debugger and check the network I have inputs as 2, layers as 60 and outputs as 0. I have tried to set the manually output using “network.mark_output(last_layer.get_output(0))” which then shows the network with an output of 1 but building the engine results in the error codes:
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: 2: [symbolicDims.h::size::63] Error Code 2: Internal Error (Assertion nbDims >= 0 failed.)
I am completely at a loss here…
Environment
TensorRT Version: 8.0.0.3
GPU Type: 2080ti
Nvidia Driver Version: 465.19.01
CUDA Version: 11.3
CUDNN Version: 8.2.0
Operating System + Version: Ubuntu 20.04
Python Version (if applicable): 3.8
PyTorch Version (if applicable): 1.8
ONNX: 1.8.0
ONNX Runtime-GPU: 1.7.0
Relevant Files
Steps To Reproduce
I generate the ONNX model with:
with open(class_names_path) as f:
class_names: list = [line.strip() for line in f.readlines()]
model = LitFasterRCNN(len(class_names) + 1)
model.load_state_dict(state_dict=torch.load(args.model_path)['state_dict'])
model.eval()
# dummy_input = torch.rand(size=(3, 1080, 1920)) # this fixes the input size in the onnx export
x = [torch.rand(3, 300, 400), torch.rand(3, 500, 400)]
model_out = model(x)
# export to onnx
torch.onnx.export(model, # model to export
x, # model input
"faster_rcnn.onnx", # where to save the model
# export_params=True, # store the trained parameter weights inside the model file
opset_version=11, # the ONNX version to export the model to
# do_constant_folding=True, # whether to execute constant folding for optimization
# input_names=['input'], # the model's input names
# output_names=['output'], # the model's output names
verbose=True,
)
From the following PyTorch Lightning Model - The model is a pre-cooked Torchvision Faster-RCNN
class LitFasterRCNN(pl.LightningModule):
def __init__(self, num_classes=3):
super().__init__()
self.model = torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained=True)
self.model.roi_heads.box_predictor = FastRCNNPredictor(
in_channels=self.model.roi_heads.box_predictor.cls_score.in_features,
num_classes=num_classes
)
def forward(self, x: torch.tensor):
return self.model(x)
def configure_optimizers(self):
optimizer = torch.optim.SGD(self.model.parameters(),
lr=0.005,
momentum=0.9,
weight_decay=0.0005
)
return optimizer
def training_step(self, train_batch, train_idx):
images, targets = train_batch
# this precooked model spits out the losses during training
images = list(image for image in images)
targets = [{k: v for k, v in t.items()} for t in targets]
loss_dict = self.model(images, targets)
loss = sum(loss for loss in loss_dict.values())
self.log("train_loss", loss)
return {'loss': loss}
I feed the ONNX model path to a build_engine func
def build_engine(model_path) -> trt.ICudaEngine:
explicit_batch = 1 << (int)(trt.NetworkDefinitionCreationFlag.EXPLICIT_BATCH)
with trt.Builder(TRT_LOGGER) as builder, \
builder.create_network(explicit_batch) as network, \
trt.OnnxParser(network, TRT_LOGGER) as parser:
builder_config = builder.create_builder_config()
builder_config.max_workspace_size = 1 << 20
builder.max_batch_size = 1
with open(model_path, "rb") as model:
parser.parse(model.read())
if not parser.parse(model.read()):
print('ERROR: Failed to parse the ONNX file.')
for error in range(parser.num_errors):
print(parser.get_error(error))
last_layer = network.get_layer(network.num_layers - 1)
# Check if last layer recognizes it's output
if not last_layer.get_output(0):
# If not, then mark the output using TensorRT API
network.mark_output(last_layer.get_output(0))
engine = builder.build_engine(network, builder_config)
return engine
engine = trt.build_engine(onnx_path)
context = engine.create_execution_context()
When I use the above function I get the below traceback.
Note: I can run and infer on the ONNX model but I am unable to build the TensorRT engine
Traceback :
2021-05-17 16:54:47.323512008 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1874
2021-05-17 16:54:47.323527983 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1987
2021-05-17 16:54:47.323533092 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Add_1992
2021-05-17 16:54:47.323537398 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1877
2021-05-17 16:54:47.323540624 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1988
2021-05-17 16:54:47.323544652 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Add_1994
2021-05-17 16:54:47.323550634 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1845
2021-05-17 16:54:47.323553801 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1849
2021-05-17 16:54:47.323557732 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1842
2021-05-17 16:54:47.323560907 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1848
2021-05-17 16:54:47.323564924 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1839
2021-05-17 16:54:47.323568230 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1847
2021-05-17 16:54:47.323572439 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1836
2021-05-17 16:54:47.323575711 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1846
2021-05-17 16:54:47.323581034 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Concat_1850
2021-05-17 16:54:47.323585177 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Reshape_1852
2021-05-17 16:54:47.323589174 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Equal_1857
2021-05-17 16:54:47.323593933 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Where_1858
2021-05-17 16:54:47.323598781 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1810
2021-05-17 16:54:47.323601876 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1814
2021-05-17 16:54:47.323605820 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1807
2021-05-17 16:54:47.323608940 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1813
2021-05-17 16:54:47.323613004 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1804
2021-05-17 16:54:47.323616163 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1812
2021-05-17 16:54:47.323620180 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1801
2021-05-17 16:54:47.323623346 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1811
2021-05-17 16:54:47.323629351 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Concat_1815
2021-05-17 16:54:47.323633564 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Reshape_1817
2021-05-17 16:54:47.323637648 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Equal_1822
2021-05-17 16:54:47.323642669 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Where_1823
2021-05-17 16:54:47.323647866 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1775
2021-05-17 16:54:47.323651009 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1779
2021-05-17 16:54:47.323655012 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1772
2021-05-17 16:54:47.323658161 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1778
2021-05-17 16:54:47.323662065 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1769
2021-05-17 16:54:47.323665147 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1777
2021-05-17 16:54:47.323669094 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1766
2021-05-17 16:54:47.323672219 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1776
2021-05-17 16:54:47.323677615 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Concat_1780
2021-05-17 16:54:47.323681875 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Reshape_1782
2021-05-17 16:54:47.323685944 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Equal_1787
2021-05-17 16:54:47.323690640 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Where_1788
2021-05-17 16:54:47.323696400 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1740
2021-05-17 16:54:47.323699531 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1744
2021-05-17 16:54:47.323703443 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1737
2021-05-17 16:54:47.323706557 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1743
2021-05-17 16:54:47.323710519 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1734
2021-05-17 16:54:47.323713676 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1742
2021-05-17 16:54:47.323717585 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1731
2021-05-17 16:54:47.323720706 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1741
2021-05-17 16:54:47.323726094 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Concat_1745
2021-05-17 16:54:47.323731604 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Reshape_1747
2021-05-17 16:54:47.323735652 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Equal_1752
2021-05-17 16:54:47.323740253 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Where_1753
2021-05-17 16:54:47.323745721 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1714
2021-05-17 16:54:47.323748862 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1718
2021-05-17 16:54:47.323752850 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1711
2021-05-17 16:54:47.323755882 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1717
2021-05-17 16:54:47.323759798 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1708
2021-05-17 16:54:47.323763496 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1716
2021-05-17 16:54:47.323767428 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1705
2021-05-17 16:54:47.323770534 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1715
2021-05-17 16:54:47.323775772 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Concat_1719
2021-05-17 16:54:47.323781724 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Add_1983
2021-05-17 16:54:47.323785551 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Add_1985
2021-05-17 16:54:47.323789433 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1880
2021-05-17 16:54:47.323793348 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Add_1886
2021-05-17 16:54:47.323797211 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1883
2021-05-17 16:54:47.323801024 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Add_1887
2021-05-17 16:54:47.323804114 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_1974
2021-05-17 16:54:47.323808886 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Concat_1975
2021-05-17 16:54:47.323812802 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Concat_1889
2021-05-17 16:54:47.323819431 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_2144
2021-05-17 16:54:47.323822508 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_2147
2021-05-17 16:54:47.323826302 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_2141
2021-05-17 16:54:47.323829400 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_2146
2021-05-17 16:54:47.323833747 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_2138
2021-05-17 16:54:47.323836863 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_2145
2021-05-17 16:54:47.323841472 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Concat_2148
2021-05-17 16:54:47.323848211 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_2025
2021-05-17 16:54:47.323851334 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_2028
2021-05-17 16:54:47.323855272 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_2022
2021-05-17 16:54:47.323858470 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_2027
2021-05-17 16:54:47.323862293 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_2019
2021-05-17 16:54:47.323865330 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Unsqueeze_2026
2021-05-17 16:54:47.323869923 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Concat_2029
2021-05-17 16:54:47.323874764 [W:onnxruntime:Default, fallback_cpu_capability.cc:135 GetCpuPreferredNodes] Force fallback to CPU execution for node: Gather_1871
[TensorRT] INFO: [MemUsageChange] Init CUDA: CPU +322, GPU +0, now: CPU 1056, GPU 1065 (MiB)
[TensorRT] VERBOSE: Registered plugin creator - ::GridAnchor_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::GridAnchorRect_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::NMS_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::Reorg_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::Region_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::Clip_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::LReLU_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::PriorBox_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::Normalize_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::ScatterND version 1
[TensorRT] VERBOSE: Registered plugin creator - ::RPROI_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::BatchedNMS_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::BatchedNMSDynamic_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::FlattenConcat_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::CropAndResize version 1
[TensorRT] VERBOSE: Registered plugin creator - ::DetectionLayer_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::Proposal version 1
[TensorRT] VERBOSE: Registered plugin creator - ::ProposalLayer_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::PyramidROIAlign_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::ResizeNearest_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::Split version 1
[TensorRT] VERBOSE: Registered plugin creator - ::SpecialSlice_TRT version 1
[TensorRT] VERBOSE: Registered plugin creator - ::InstanceNormalization_TRT version 1
[TensorRT] VERBOSE: Adding network input: image.1 with dtype: float32, dimensions: (3, 300, 400)
[TensorRT] VERBOSE: Registering tensor: image.1 for ONNX tensor: image.1
[TensorRT] VERBOSE: Adding network input: image.3 with dtype: float32, dimensions: (3, 500, 400)
[TensorRT] VERBOSE: Registering tensor: image.3 for ONNX tensor: image.3
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.conv1.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer1.0.conv1.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer1.0.conv2.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer1.0.conv3.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer1.0.downsample.0.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer1.1.conv1.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer1.1.conv2.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer1.1.conv3.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer1.2.conv1.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer1.2.conv2.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer1.2.conv3.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer2.0.conv1.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer2.0.conv2.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer2.0.conv3.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer2.0.downsample.0.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer2.1.conv1.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer2.1.conv2.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer2.1.conv3.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer2.2.conv1.weight
[TensorRT] VERBOSE: Importing initializer: model.backbone.body.layer2.2.conv2.weight
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[TensorRT] WARNING: onnx2trt_utils.cpp:320: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
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[TensorRT] VERBOSE: Parsing node: Shape_0 [Shape]
[TensorRT] VERBOSE: Searching for input: image.1
[TensorRT] VERBOSE: Shape_0 [Shape] inputs: [image.1 → (3, 300, 400)],
[TensorRT] VERBOSE: Registering layer: Shape_0 for ONNX node: Shape_0
[TensorRT] VERBOSE: Registering tensor: 297 for ONNX tensor: 297
[TensorRT] VERBOSE: Shape_0 [Shape] outputs: [297 → (3)],
[TensorRT] VERBOSE: Parsing node: Constant_1 [Constant]
[TensorRT] VERBOSE: Constant_1 [Constant] inputs:
[TensorRT] VERBOSE: Constant_1 [Constant] outputs: [298 → ()],
[TensorRT] VERBOSE: Parsing node: Gather_2 [Gather]
[TensorRT] VERBOSE: Searching for input: 297
[TensorRT] VERBOSE: Searching for input: 298
[TensorRT] VERBOSE: Gather_2 [Gather] inputs: [297 → (3)], [298 → ()],
[TensorRT] VERBOSE: Registering layer: 298 for ONNX node: 298
[TensorRT] VERBOSE: Using Gather axis: 0
[TensorRT] VERBOSE: Registering layer: Gather_2 for ONNX node: Gather_2
[TensorRT] VERBOSE: Registering tensor: 299 for ONNX tensor: 299
[TensorRT] VERBOSE: Gather_2 [Gather] outputs: [299 → ()],
[TensorRT] VERBOSE: Parsing node: Shape_3 [Shape]
[TensorRT] VERBOSE: Searching for input: image.1
[TensorRT] VERBOSE: Shape_3 [Shape] inputs: [image.1 → (3, 300, 400)],
[TensorRT] VERBOSE: Registering layer: Shape_3 for ONNX node: Shape_3
[TensorRT] VERBOSE: Registering tensor: 300 for ONNX tensor: 300
[TensorRT] VERBOSE: Shape_3 [Shape] outputs: [300 → (3)],
[TensorRT] VERBOSE: Parsing node: Constant_4 [Constant]
[TensorRT] VERBOSE: Constant_4 [Constant] inputs:
[TensorRT] VERBOSE: Constant_4 [Constant] outputs: [301 → ()],
[TensorRT] VERBOSE: Parsing node: Gather_5 [Gather]
[TensorRT] VERBOSE: Searching for input: 300
[TensorRT] VERBOSE: Searching for input: 301
[TensorRT] VERBOSE: Gather_5 [Gather] inputs: [300 → (3)], [301 → ()],
[TensorRT] VERBOSE: Registering layer: 301 for ONNX node: 301
[TensorRT] VERBOSE: Using Gather axis: 0
[TensorRT] VERBOSE: Registering layer: Gather_5 for ONNX node: Gather_5
[TensorRT] VERBOSE: Registering tensor: 302 for ONNX tensor: 302
[TensorRT] VERBOSE: Gather_5 [Gather] outputs: [302 → ()],
[TensorRT] VERBOSE: Parsing node: Shape_6 [Shape]
[TensorRT] VERBOSE: Searching for input: image.3
[TensorRT] VERBOSE: Shape_6 [Shape] inputs: [image.3 → (3, 500, 400)],
[TensorRT] VERBOSE: Registering layer: Shape_6 for ONNX node: Shape_6
[TensorRT] VERBOSE: Registering tensor: 303 for ONNX tensor: 303
[TensorRT] VERBOSE: Shape_6 [Shape] outputs: [303 → (3)],
[TensorRT] VERBOSE: Parsing node: Constant_7 [Constant]
[TensorRT] VERBOSE: Constant_7 [Constant] inputs:
[TensorRT] VERBOSE: Constant_7 [Constant] outputs: [304 → ()],
[TensorRT] VERBOSE: Parsing node: Gather_8 [Gather]
[TensorRT] VERBOSE: Searching for input: 303
[TensorRT] VERBOSE: Searching for input: 304
[TensorRT] VERBOSE: Gather_8 [Gather] inputs: [303 → (3)], [304 → ()],
[TensorRT] VERBOSE: Registering layer: 304 for ONNX node: 304
[TensorRT] VERBOSE: Using Gather axis: 0
[TensorRT] VERBOSE: Registering layer: Gather_8 for ONNX node: Gather_8
[TensorRT] VERBOSE: Registering tensor: 305 for ONNX tensor: 305
[TensorRT] VERBOSE: Gather_8 [Gather] outputs: [305 → ()],
[TensorRT] VERBOSE: Parsing node: Shape_9 [Shape]
[TensorRT] VERBOSE: Searching for input: image.3
[TensorRT] VERBOSE: Shape_9 [Shape] inputs: [image.3 → (3, 500, 400)],
[TensorRT] VERBOSE: Registering layer: Shape_9 for ONNX node: Shape_9
[TensorRT] VERBOSE: Registering tensor: 306 for ONNX tensor: 306
[TensorRT] VERBOSE: Shape_9 [Shape] outputs: [306 → (3)],
[TensorRT] VERBOSE: Parsing node: Constant_10 [Constant]
[TensorRT] VERBOSE: Constant_10 [Constant] inputs:
[TensorRT] VERBOSE: Constant_10 [Constant] outputs: [307 → ()],
[TensorRT] VERBOSE: Parsing node: Gather_11 [Gather]
[TensorRT] VERBOSE: Searching for input: 306
[TensorRT] VERBOSE: Searching for input: 307
[TensorRT] VERBOSE: Gather_11 [Gather] inputs: [306 → (3)], [307 → ()],
[TensorRT] VERBOSE: Registering layer: 307 for ONNX node: 307
[TensorRT] VERBOSE: Using Gather axis: 0
[TensorRT] VERBOSE: Registering layer: Gather_11 for ONNX node: Gather_11
[TensorRT] VERBOSE: Registering tensor: 308 for ONNX tensor: 308
[TensorRT] VERBOSE: Gather_11 [Gather] outputs: [308 → ()],
[TensorRT] VERBOSE: Parsing node: Constant_12 [Constant]
[TensorRT] VERBOSE: Constant_12 [Constant] inputs:
[TensorRT] VERBOSE: Constant_12 [Constant] outputs: [309 → (3, 1, 1)],
[TensorRT] VERBOSE: Parsing node: Sub_13 [Sub]
[TensorRT] VERBOSE: Searching for input: image.1
[TensorRT] VERBOSE: Searching for input: 309
[TensorRT] VERBOSE: Sub_13 [Sub] inputs: [image.1 → (3, 300, 400)], [309 → (3, 1, 1)],
[TensorRT] VERBOSE: Registering layer: 309 for ONNX node: 309
[TensorRT] VERBOSE: Registering layer: Sub_13 for ONNX node: Sub_13
[TensorRT] VERBOSE: Registering tensor: 310 for ONNX tensor: 310
[TensorRT] VERBOSE: Sub_13 [Sub] outputs: [310 → (3, 300, 400)],
[TensorRT] VERBOSE: Parsing node: Constant_14 [Constant]
[TensorRT] VERBOSE: Constant_14 [Constant] inputs:
[TensorRT] VERBOSE: Constant_14 [Constant] outputs: [311 → (3, 1, 1)],
[TensorRT] VERBOSE: Parsing node: Div_15 [Div]
[TensorRT] VERBOSE: Searching for input: 310
[TensorRT] VERBOSE: Searching for input: 311
[TensorRT] VERBOSE: Div_15 [Div] inputs: [310 → (3, 300, 400)], [311 → (3, 1, 1)],
[TensorRT] VERBOSE: Registering layer: 311 for ONNX node: 311
[TensorRT] VERBOSE: Registering layer: Div_15 for ONNX node: Div_15
[TensorRT] VERBOSE: Registering tensor: 312 for ONNX tensor: 312
[TensorRT] VERBOSE: Div_15 [Div] outputs: [312 → (3, 300, 400)],
[TensorRT] VERBOSE: Parsing node: Shape_16 [Shape]
[TensorRT] VERBOSE: Searching for input: 312
[TensorRT] VERBOSE: Shape_16 [Shape] inputs: [312 → (3, 300, 400)],
[TensorRT] VERBOSE: Registering layer: Shape_16 for ONNX node: Shape_16
[TensorRT] VERBOSE: Registering tensor: 313 for ONNX tensor: 313
[TensorRT] VERBOSE: Shape_16 [Shape] outputs: [313 → (3)],
[TensorRT] VERBOSE: Parsing node: Constant_17 [Constant]
[TensorRT] VERBOSE: Constant_17 [Constant] inputs:
[TensorRT] VERBOSE: Constant_17 [Constant] outputs: [314 → (1)],
[TensorRT] VERBOSE: Parsing node: Constant_18 [Constant]
[TensorRT] VERBOSE: Constant_18 [Constant] inputs:
[TensorRT] VERBOSE: Constant_18 [Constant] outputs: [315 → (1)],
[TensorRT] VERBOSE: Parsing node: Constant_19 [Constant]
[TensorRT] VERBOSE: Constant_19 [Constant] inputs:
[TensorRT] VERBOSE: Weight at index 0: 9223372036854775807 is out of range. Clamping to: 2147483647
[TensorRT] WARNING: onnx2trt_utils.cpp:346: One or more weights outside the range of INT32 was clamped
[TensorRT] VERBOSE: Constant_19 [Constant] outputs: [316 → (1)],
[TensorRT] VERBOSE: Parsing node: Constant_20 [Constant]
[TensorRT] VERBOSE: Constant_20 [Constant] inputs:
[TensorRT] VERBOSE: Constant_20 [Constant] outputs: [317 → (1)],
[TensorRT] VERBOSE: Parsing node: Slice_21 [Slice]
[TensorRT] VERBOSE: Searching for input: 313
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[TensorRT] VERBOSE: Searching for input: 316
[TensorRT] VERBOSE: Searching for input: 314
[TensorRT] VERBOSE: Searching for input: 317
[TensorRT] VERBOSE: Slice_21 [Slice] inputs: [313 → (3)], [315 → (1)], [316 → (1)], [314 → (1)], [317 → (1)],
[TensorRT] VERBOSE: Registering layer: Slice_21 for ONNX node: Slice_21
[TensorRT] VERBOSE: Registering tensor: 318 for ONNX tensor: 318
[TensorRT] VERBOSE: Slice_21 [Slice] outputs: [318 → (2)],
[TensorRT] VERBOSE: Parsing node: ReduceMin_22 [ReduceMin]
[TensorRT] VERBOSE: Searching for input: 318
[TensorRT] VERBOSE: ReduceMin_22 [ReduceMin] inputs: [318 → (2)],
[TensorRT] VERBOSE: Registering layer: ReduceMin_22 for ONNX node: ReduceMin_22
[TensorRT] VERBOSE: Registering tensor: 319 for ONNX tensor: 319
[TensorRT] VERBOSE: ReduceMin_22 [ReduceMin] outputs: [319 → ()],
[TensorRT] VERBOSE: Parsing node: Cast_23 [Cast]
[TensorRT] VERBOSE: Searching for input: 319
[TensorRT] VERBOSE: Cast_23 [Cast] inputs: [319 → ()],
[TensorRT] VERBOSE: Casting to type: float32
[TensorRT] WARNING: Tensor DataType is determined at build time for tensors not marked as input or output.
[TensorRT] VERBOSE: Registering layer: Cast_23 for ONNX node: Cast_23
[TensorRT] VERBOSE: Registering tensor: 320 for ONNX tensor: 320
[TensorRT] VERBOSE: Cast_23 [Cast] outputs: [320 → ()],
[TensorRT] VERBOSE: Parsing node: ReduceMax_24 [ReduceMax]
[TensorRT] VERBOSE: Searching for input: 318
[TensorRT] VERBOSE: ReduceMax_24 [ReduceMax] inputs: [318 → (2)],
[TensorRT] VERBOSE: Registering layer: ReduceMax_24 for ONNX node: ReduceMax_24
[TensorRT] VERBOSE: Registering tensor: 321 for ONNX tensor: 321
[TensorRT] VERBOSE: ReduceMax_24 [ReduceMax] outputs: [321 → ()],
[TensorRT] VERBOSE: Parsing node: Cast_25 [Cast]
[TensorRT] VERBOSE: Searching for input: 321
[TensorRT] VERBOSE: Cast_25 [Cast] inputs: [321 → ()],
[TensorRT] VERBOSE: Casting to type: float32
[TensorRT] WARNING: Tensor DataType is determined at build time for tensors not marked as input or output.
[TensorRT] VERBOSE: Registering layer: Cast_25 for ONNX node: Cast_25
[TensorRT] VERBOSE: Registering tensor: 322 for ONNX tensor: 322
[TensorRT] VERBOSE: Cast_25 [Cast] outputs: [322 → ()],
[TensorRT] VERBOSE: Parsing node: Constant_26 [Constant]
[TensorRT] VERBOSE: Constant_26 [Constant] inputs:
[TensorRT] VERBOSE: Constant_26 [Constant] outputs: [323 → ()],
[TensorRT] VERBOSE: Parsing node: Div_27 [Div]
[TensorRT] VERBOSE: Searching for input: 323
[TensorRT] VERBOSE: Searching for input: 320
[TensorRT] VERBOSE: Div_27 [Div] inputs: [323 → ()], [320 → ()],
[TensorRT] VERBOSE: Registering layer: 323 for ONNX node: 323
[TensorRT] VERBOSE: Registering layer: Div_27 for ONNX node: Div_27
[TensorRT] VERBOSE: Registering tensor: 324 for ONNX tensor: 324
[TensorRT] VERBOSE: Div_27 [Div] outputs: [324 → ()],
[TensorRT] VERBOSE: Parsing node: Constant_28 [Constant]
[TensorRT] VERBOSE: Constant_28 [Constant] inputs:
[TensorRT] VERBOSE: Constant_28 [Constant] outputs: [325 → ()],
[TensorRT] VERBOSE: Parsing node: Mul_29 [Mul]
[TensorRT] VERBOSE: Searching for input: 324
[TensorRT] VERBOSE: Searching for input: 325
[TensorRT] VERBOSE: Mul_29 [Mul] inputs: [324 → ()], [325 → ()],
[TensorRT] VERBOSE: Registering layer: 325 for ONNX node: 325
[TensorRT] VERBOSE: Registering layer: Mul_29 for ONNX node: Mul_29
[TensorRT] VERBOSE: Registering tensor: 326 for ONNX tensor: 326
[TensorRT] VERBOSE: Mul_29 [Mul] outputs: [326 → ()],
[TensorRT] VERBOSE: Parsing node: Constant_30 [Constant]
[TensorRT] VERBOSE: Constant_30 [Constant] inputs:
[TensorRT] VERBOSE: Constant_30 [Constant] outputs: [327 → ()],
[TensorRT] VERBOSE: Parsing node: Div_31 [Div]
[TensorRT] VERBOSE: Searching for input: 327
[TensorRT] VERBOSE: Searching for input: 322
[TensorRT] VERBOSE: Div_31 [Div] inputs: [327 → ()], [322 → ()],
[TensorRT] VERBOSE: Registering layer: 327 for ONNX node: 327
[TensorRT] VERBOSE: Registering layer: Div_31 for ONNX node: Div_31
[TensorRT] VERBOSE: Registering tensor: 328 for ONNX tensor: 328
[TensorRT] VERBOSE: Div_31 [Div] outputs: [328 → ()],
[TensorRT] VERBOSE: Parsing node: Constant_32 [Constant]
[TensorRT] VERBOSE: Constant_32 [Constant] inputs:
[TensorRT] VERBOSE: Constant_32 [Constant] outputs: [329 → ()],
[TensorRT] VERBOSE: Parsing node: Mul_33 [Mul]
[TensorRT] VERBOSE: Searching for input: 328
[TensorRT] VERBOSE: Searching for input: 329
[TensorRT] VERBOSE: Mul_33 [Mul] inputs: [328 → ()], [329 → ()],
[TensorRT] VERBOSE: Registering layer: 329 for ONNX node: 329
[TensorRT] VERBOSE: Registering layer: Mul_33 for ONNX node: Mul_33
[TensorRT] VERBOSE: Registering tensor: 330 for ONNX tensor: 330
[TensorRT] VERBOSE: Mul_33 [Mul] outputs: [330 → ()],
[TensorRT] VERBOSE: Parsing node: Min_34 [Min]
[TensorRT] VERBOSE: Searching for input: 326
[TensorRT] VERBOSE: Searching for input: 330
[TensorRT] VERBOSE: Min_34 [Min] inputs: [326 → ()], [330 → ()],
[TensorRT] VERBOSE: Registering layer: Min_34 for ONNX node: Min_34
[TensorRT] VERBOSE: Registering tensor: 331 for ONNX tensor: 331
[TensorRT] VERBOSE: Min_34 [Min] outputs: [331 → ()],
[TensorRT] VERBOSE: Parsing node: Unsqueeze_35 [Unsqueeze]
[TensorRT] VERBOSE: Searching for input: 312
[TensorRT] VERBOSE: Unsqueeze_35 [Unsqueeze] inputs: [312 → (3, 300, 400)],
[TensorRT] VERBOSE: Original shape: (3, 300, 400), unsqueezing to: (1, 3, 300, 400)
[TensorRT] VERBOSE: Registering layer: Unsqueeze_35 for ONNX node: Unsqueeze_35
[TensorRT] VERBOSE: Registering tensor: 332 for ONNX tensor: 332
[TensorRT] VERBOSE: Unsqueeze_35 [Unsqueeze] outputs: [332 → (1, 3, 300, 400)],
[TensorRT] VERBOSE: Parsing node: Shape_36 [Shape]
[TensorRT] VERBOSE: Searching for input: 332
[TensorRT] VERBOSE: Shape_36 [Shape] inputs: [332 → (1, 3, 300, 400)],
[TensorRT] VERBOSE: Registering layer: Shape_36 for ONNX node: Shape_36
[TensorRT] VERBOSE: Registering tensor: 333 for ONNX tensor: 333
[TensorRT] VERBOSE: Shape_36 [Shape] outputs: [333 → (4)],
[TensorRT] VERBOSE: Parsing node: Constant_37 [Constant]
[TensorRT] VERBOSE: Constant_37 [Constant] inputs:
[TensorRT] VERBOSE: Constant_37 [Constant] outputs: [334 → ()],
[TensorRT] VERBOSE: Parsing node: Gather_38 [Gather]
[TensorRT] VERBOSE: Searching for input: 333
[TensorRT] VERBOSE: Searching for input: 334
[TensorRT] VERBOSE: Gather_38 [Gather] inputs: [333 → (4)], [334 → ()],
[TensorRT] VERBOSE: Registering layer: 334 for ONNX node: 334
[TensorRT] VERBOSE: Using Gather axis: 0
[TensorRT] VERBOSE: Registering layer: Gather_38 for ONNX node: Gather_38
[TensorRT] VERBOSE: Registering tensor: 335 for ONNX tensor: 335
[TensorRT] VERBOSE: Gather_38 [Gather] outputs: [335 → ()],
[TensorRT] VERBOSE: Parsing node: Cast_39 [Cast]
[TensorRT] VERBOSE: Searching for input: 335
[TensorRT] VERBOSE: Cast_39 [Cast] inputs: [335 → ()],
[TensorRT] VERBOSE: Casting to type: float32
[TensorRT] WARNING: Tensor DataType is determined at build time for tensors not marked as input or output.
[TensorRT] VERBOSE: Registering layer: Cast_39 for ONNX node: Cast_39
[TensorRT] VERBOSE: Registering tensor: 336 for ONNX tensor: 336
[TensorRT] VERBOSE: Cast_39 [Cast] outputs: [336 → ()],
[TensorRT] VERBOSE: Parsing node: Cast_40 [Cast]
[TensorRT] VERBOSE: Searching for input: 331
[TensorRT] VERBOSE: Cast_40 [Cast] inputs: [331 → ()],
[TensorRT] VERBOSE: Casting to type: float32
[TensorRT] WARNING: Tensor DataType is determined at build time for tensors not marked as input or output.
[TensorRT] VERBOSE: Registering layer: Cast_40 for ONNX node: Cast_40
[TensorRT] VERBOSE: Registering tensor: 337 for ONNX tensor: 337
[TensorRT] VERBOSE: Cast_40 [Cast] outputs: [337 → ()],
[TensorRT] VERBOSE: Parsing node: Mul_41 [Mul]
[TensorRT] VERBOSE: Searching for input: 336
[TensorRT] VERBOSE: Searching for input: 337
[TensorRT] VERBOSE: Mul_41 [Mul] inputs: [336 → ()], [337 → ()],
[TensorRT] VERBOSE: Registering layer: Mul_41 for ONNX node: Mul_41
[TensorRT] VERBOSE: Registering tensor: 338 for ONNX tensor: 338
[TensorRT] VERBOSE: Mul_41 [Mul] outputs: [338 → ()],
[TensorRT] VERBOSE: Parsing node: Cast_42 [Cast]
[TensorRT] VERBOSE: Searching for input: 338
[TensorRT] VERBOSE: Cast_42 [Cast] inputs: [338 → ()],
[TensorRT] VERBOSE: Casting to type: float32
[TensorRT] WARNING: Tensor DataType is determined at build time for tensors not marked as input or output.
[TensorRT] VERBOSE: Registering layer: Cast_42 for ONNX node: Cast_42
[TensorRT] VERBOSE: Registering tensor: 339 for ONNX tensor: 339
[TensorRT] VERBOSE: Cast_42 [Cast] outputs: [339 → ()],
[TensorRT] VERBOSE: Parsing node: Floor_43 [Floor]
[TensorRT] VERBOSE: Searching for input: 339
[TensorRT] VERBOSE: Floor_43 [Floor] inputs: [339 → ()],
[TensorRT] VERBOSE: Original shape: (), unsqueezing to: (1,)
[TensorRT] VERBOSE: Registering layer: Floor_43 for ONNX node: Floor_43
[TensorRT] VERBOSE: Original shape: (1,), squeezing to: ()
[TensorRT] VERBOSE: Registering tensor: 340 for ONNX tensor: 340
[TensorRT] VERBOSE: Floor_43 [Floor] outputs: [340 → ()],
[TensorRT] VERBOSE: Parsing node: Shape_44 [Shape]
[TensorRT] VERBOSE: Searching for input: 332
[TensorRT] VERBOSE: Shape_44 [Shape] inputs: [332 → (1, 3, 300, 400)],
[TensorRT] VERBOSE: Registering layer: Shape_44 for ONNX node: Shape_44
[TensorRT] VERBOSE: Registering tensor: 341 for ONNX tensor: 341
[TensorRT] VERBOSE: Shape_44 [Shape] outputs: [341 → (4)],
[TensorRT] VERBOSE: Parsing node: Constant_45 [Constant]
[TensorRT] VERBOSE: Constant_45 [Constant] inputs:
[TensorRT] VERBOSE: Constant_45 [Constant] outputs: [342 → ()],
[TensorRT] VERBOSE: Parsing node: Gather_46 [Gather]
[TensorRT] VERBOSE: Searching for input: 341
[TensorRT] VERBOSE: Searching for input: 342
[TensorRT] VERBOSE: Gather_46 [Gather] inputs: [341 → (4)], [342 → ()],
[TensorRT] VERBOSE: Registering layer: 342 for ONNX node: 342
[TensorRT] VERBOSE: Using Gather axis: 0
[TensorRT] VERBOSE: Registering layer: Gather_46 for ONNX node: Gather_46
[TensorRT] VERBOSE: Registering tensor: 343 for ONNX tensor: 343
[TensorRT] VERBOSE: Gather_46 [Gather] outputs: [343 → ()],
[TensorRT] VERBOSE: Parsing node: Cast_47 [Cast]
[TensorRT] VERBOSE: Searching for input: 343
[TensorRT] VERBOSE: Cast_47 [Cast] inputs: [343 → ()],
[TensorRT] VERBOSE: Casting to type: float32
[TensorRT] WARNING: Tensor DataType is determined at build time for tensors not marked as input or output.
[TensorRT] VERBOSE: Registering layer: Cast_47 for ONNX node: Cast_47
[TensorRT] VERBOSE: Registering tensor: 344 for ONNX tensor: 344
[TensorRT] VERBOSE: Cast_47 [Cast] outputs: [344 → ()],
[TensorRT] VERBOSE: Parsing node: Cast_48 [Cast]
[TensorRT] VERBOSE: Searching for input: 331
[TensorRT] VERBOSE: Cast_48 [Cast] inputs: [331 → ()],
[TensorRT] VERBOSE: Casting to type: float32
[TensorRT] WARNING: Tensor DataType is determined at build time for tensors not marked as input or output.
[TensorRT] VERBOSE: Registering layer: Cast_48 for ONNX node: Cast_48
[TensorRT] VERBOSE: Registering tensor: 345 for ONNX tensor: 345
[TensorRT] VERBOSE: Cast_48 [Cast] outputs: [345 → ()],
[TensorRT] VERBOSE: Parsing node: Mul_49 [Mul]
[TensorRT] VERBOSE: Searching for input: 344
[TensorRT] VERBOSE: Searching for input: 345
[TensorRT] VERBOSE: Mul_49 [Mul] inputs: [344 → ()], [345 → ()],
[TensorRT] VERBOSE: Registering layer: Mul_49 for ONNX node: Mul_49
[TensorRT] VERBOSE: Registering tensor: 346 for ONNX tensor: 346
[TensorRT] VERBOSE: Mul_49 [Mul] outputs: [346 → ()],
[TensorRT] VERBOSE: Parsing node: Cast_50 [Cast]
[TensorRT] VERBOSE: Searching for input: 346
[TensorRT] VERBOSE: Cast_50 [Cast] inputs: [346 → ()],
[TensorRT] VERBOSE: Casting to type: float32
[TensorRT] WARNING: Tensor DataType is determined at build time for tensors not marked as input or output.
[TensorRT] VERBOSE: Registering layer: Cast_50 for ONNX node: Cast_50
[TensorRT] VERBOSE: Registering tensor: 347 for ONNX tensor: 347
[TensorRT] VERBOSE: Cast_50 [Cast] outputs: [347 → ()],
[TensorRT] VERBOSE: Parsing node: Floor_51 [Floor]
[TensorRT] VERBOSE: Searching for input: 347
[TensorRT] VERBOSE: Floor_51 [Floor] inputs: [347 → ()],
[TensorRT] VERBOSE: Original shape: (), unsqueezing to: (1,)
[TensorRT] VERBOSE: Registering layer: Floor_51 for ONNX node: Floor_51
[TensorRT] VERBOSE: Original shape: (1,), squeezing to: ()
[TensorRT] VERBOSE: Registering tensor: 348 for ONNX tensor: 348
[TensorRT] VERBOSE: Floor_51 [Floor] outputs: [348 → ()],
[TensorRT] VERBOSE: Parsing node: Unsqueeze_52 [Unsqueeze]
[TensorRT] VERBOSE: Searching for input: 340
[TensorRT] VERBOSE: Unsqueeze_52 [Unsqueeze] inputs: [340 → ()],
[TensorRT] VERBOSE: Original shape: (), unsqueezing to: (1,)
[TensorRT] VERBOSE: Registering layer: Unsqueeze_52 for ONNX node: Unsqueeze_52
[TensorRT] VERBOSE: Registering tensor: 349 for ONNX tensor: 349
[TensorRT] VERBOSE: Unsqueeze_52 [Unsqueeze] outputs: [349 → (1)],
[TensorRT] VERBOSE: Parsing node: Unsqueeze_53 [Unsqueeze]
[TensorRT] VERBOSE: Searching for input: 348
[TensorRT] VERBOSE: Unsqueeze_53 [Unsqueeze] inputs: [348 → ()],
[TensorRT] VERBOSE: Original shape: (), unsqueezing to: (1,)
[TensorRT] VERBOSE: Registering layer: Unsqueeze_53 for ONNX node: Unsqueeze_53
[TensorRT] VERBOSE: Registering tensor: 350 for ONNX tensor: 350
[TensorRT] VERBOSE: Unsqueeze_53 [Unsqueeze] outputs: [350 → (1)],
[TensorRT] VERBOSE: Parsing node: Concat_54 [Concat]
[TensorRT] VERBOSE: Searching for input: 349
[TensorRT] VERBOSE: Searching for input: 350
[TensorRT] VERBOSE: Concat_54 [Concat] inputs: [349 → (1)], [350 → (1)],
[TensorRT] VERBOSE: Registering layer: Concat_54 for ONNX node: Concat_54
[TensorRT] VERBOSE: Registering tensor: 351 for ONNX tensor: 351
[TensorRT] VERBOSE: Concat_54 [Concat] outputs: [351 → (2)],
[TensorRT] VERBOSE: Parsing node: Shape_55 [Shape]
[TensorRT] VERBOSE: Searching for input: 332
[TensorRT] VERBOSE: Shape_55 [Shape] inputs: [332 → (1, 3, 300, 400)],
[TensorRT] VERBOSE: Registering layer: Shape_55 for ONNX node: Shape_55
[TensorRT] VERBOSE: Registering tensor: 352 for ONNX tensor: 352
[TensorRT] VERBOSE: Shape_55 [Shape] outputs: [352 → (4)],
[TensorRT] VERBOSE: Parsing node: Constant_56 [Constant]
[TensorRT] VERBOSE: Constant_56 [Constant] inputs:
[TensorRT] VERBOSE: Constant_56 [Constant] outputs: [353 → (1)],
[TensorRT] VERBOSE: Parsing node: Constant_57 [Constant]
[TensorRT] VERBOSE: Constant_57 [Constant] inputs:
[TensorRT] VERBOSE: Constant_57 [Constant] outputs: [354 → (1)],
[TensorRT] VERBOSE: Parsing node: Constant_58 [Constant]
[TensorRT] VERBOSE: Constant_58 [Constant] inputs:
[TensorRT] VERBOSE: Constant_58 [Constant] outputs: [355 → (1)],
[TensorRT] VERBOSE: Parsing node: Slice_59 [Slice]
[TensorRT] VERBOSE: Searching for input: 352
[TensorRT] VERBOSE: Searching for input: 354
[TensorRT] VERBOSE: Searching for input: 355
[TensorRT] VERBOSE: Searching for input: 353
[TensorRT] VERBOSE: Slice_59 [Slice] inputs: [352 → (4)], [354 → (1)], [355 → (1)], [353 → (1)],
[TensorRT] VERBOSE: Registering layer: Slice_59 for ONNX node: Slice_59
[TensorRT] VERBOSE: Registering tensor: 356 for ONNX tensor: 356
[TensorRT] VERBOSE: Slice_59 [Slice] outputs: [356 → (2)],
[TensorRT] VERBOSE: Parsing node: Cast_60 [Cast]
[TensorRT] VERBOSE: Searching for input: 351
[TensorRT] VERBOSE: Cast_60 [Cast] inputs: [351 → (2)],
[TensorRT] VERBOSE: Casting to type: int32
[TensorRT] WARNING: Tensor DataType is determined at build time for tensors not marked as input or output.
[TensorRT] VERBOSE: Registering layer: Cast_60 for ONNX node: Cast_60
[TensorRT] VERBOSE: Registering tensor: 357 for ONNX tensor: 357
[TensorRT] VERBOSE: Cast_60 [Cast] outputs: [357 → (2)],
[TensorRT] VERBOSE: Parsing node: Concat_61 [Concat]
[TensorRT] VERBOSE: Searching for input: 356
[TensorRT] VERBOSE: Searching for input: 357
[TensorRT] VERBOSE: Concat_61 [Concat] inputs: [356 → (2)], [357 → (2)],
[TensorRT] VERBOSE: Registering layer: Concat_61 for ONNX node: Concat_61
[TensorRT] VERBOSE: Registering tensor: 358 for ONNX tensor: 358
[TensorRT] VERBOSE: Concat_61 [Concat] outputs: [358 → (4)],
[TensorRT] VERBOSE: Parsing node: Constant_62 [Constant]
[TensorRT] VERBOSE: Constant_62 [Constant] inputs:
[TensorRT] VERBOSE: Constant_62 [Constant] outputs: [359 → ()],
[TensorRT] VERBOSE: Parsing node: Constant_63 [Constant]
[TensorRT] VERBOSE: Constant_63 [Constant] inputs:
[TensorRT] VERBOSE: Constant_63 [Constant] outputs: [360 → ()],
[TensorRT] VERBOSE: Parsing node: Resize_64 [Resize]
[TensorRT] VERBOSE: Searching for input: 332
[TensorRT] VERBOSE: Searching for input: 359
[TensorRT] VERBOSE: Searching for input: 360
[TensorRT] VERBOSE: Searching for input: 358
[TensorRT] VERBOSE: Resize_64 [Resize] inputs: [332 → (1, 3, 300, 400)], [359 → ()], [360 → ()], [358 → (4)],
[TensorRT] VERBOSE: Registering layer: Resize_64 for ONNX node: Resize_64
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] VERBOSE: Plugin creator already registered - ::GridAnchor_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::GridAnchorRect_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::NMS_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::Reorg_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::Region_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::Clip_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::LReLU_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::PriorBox_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::Normalize_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::ScatterND version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::RPROI_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::BatchedNMS_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::BatchedNMSDynamic_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::FlattenConcat_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::CropAndResize version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::DetectionLayer_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::Proposal version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::ProposalLayer_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::PyramidROIAlign_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::ResizeNearest_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::Split version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::SpecialSlice_TRT version 1
[TensorRT] VERBOSE: Plugin creator already registered - ::InstanceNormalization_TRT version 1
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] ERROR: [graph.cpp::computeInputExecutionUses::510] Error Code 9: Internal Error (Floor_51: IUnaryLayer cannot be used to compute a shape tensor)
[TensorRT] INFO: [MemUsageSnapshot] Builder begin: CPU 1168 MiB, GPU 1065 MiB
[TensorRT] ERROR: 4: [network.cpp::validate::2361] Error Code 4: Internal Error (Network must have at least one output)
Traceback (most recent call last):
File “/home/stefan/dev/co/object-detection-tests/FasterRCNN/detection_test.py”, line 120, in
run_test()
File “/home/stefan/dev/co/object-detection-tests/FasterRCNN/detection_test.py”, line 59, in run_test
context = engine.create_execution_context()
AttributeError: ‘NoneType’ object has no attribute ‘create_execution_context’