Triton 2.10 - Deepstream 5.1 - Jetson Xavier NX

Docker image: nvcr.io/nvidia/deepstream-l4t:5.1-21.02-samples

input or output layers are empty, check trtis model config settings
ERROR: failed to initialize backend while setup model:ssd_inception_v2_coco_2018_01_28 layer info, nvinfer error:NVDSINFER_TRTIS_ERROR


config.pbtxt file:
name: “ssd_inception_v2_coco_2018_01_28”
platform: “tensorflow_graphdef”
default_model_filename: “model.graphdef”
max_batch_size: 128
input [
{
name: “image_tensor”
data_type: TYPE_UINT8
format: FORMAT_NHWC
dims: [ 300, 300, 3 ]
}
]
output [
{
name: “detection_boxes”
data_type: TYPE_FP32
dims: [ 100, 4]
reshape { shape: [100,4] }
},
{
name: “detection_classes”
data_type: TYPE_FP32
dims: [ 100 ]
},
{
name: “detection_scores”
data_type: TYPE_FP32
dims: [ 100 ]
},
{
name: “num_detections”
data_type: TYPE_FP32
dims: [ 1 ]
reshape { shape: }
}
]

The docker image starts with triton 2.5, it works fine with all models.
But after I download tritonserver2.10.0-jetpack4.5.tgz and extract it to reinstall triton servers, when I run deepstream-app, all deepstream file config returned same error “input or output layers are empty”.
Any idea to fix it? Please help. Thank you so much

There is no update from you for a period, assuming this is not an issue any more.
Hence we are closing this topic. If need further support, please open a new one.
Thanks

Is this duplicate of Jeson Xavier NX, Triton 2.10, Deepstream 5.1 ?
Please don’t file duplicate topics.
And, which topic do you want to leave to track the issue?