[06/16/2022-09:25:26] [I] === Model Options === [06/16/2022-09:25:26] [I] Format: ONNX [06/16/2022-09:25:26] [I] Model: model.onnx [06/16/2022-09:25:26] [I] Output: [06/16/2022-09:25:26] [I] === Build Options === [06/16/2022-09:25:26] [I] Max batch: explicit batch [06/16/2022-09:25:26] [I] Memory Pools: workspace: default, dlaSRAM: default, dlaLocalDRAM: default, dlaGlobalDRAM: default [06/16/2022-09:25:26] [I] minTiming: 1 [06/16/2022-09:25:26] [I] avgTiming: 8 [06/16/2022-09:25:26] [I] Precision: FP32 [06/16/2022-09:25:26] [I] LayerPrecisions: [06/16/2022-09:25:26] [I] Calibration: [06/16/2022-09:25:26] [I] Refit: Disabled [06/16/2022-09:25:26] [I] Sparsity: Disabled [06/16/2022-09:25:26] [I] Safe mode: Disabled [06/16/2022-09:25:26] [I] DirectIO mode: Disabled [06/16/2022-09:25:26] [I] Restricted mode: Disabled [06/16/2022-09:25:26] [I] Save engine: [06/16/2022-09:25:26] [I] Load engine: [06/16/2022-09:25:26] [I] Profiling verbosity: 0 [06/16/2022-09:25:26] [I] Tactic sources: Using default tactic sources [06/16/2022-09:25:26] [I] timingCacheMode: local [06/16/2022-09:25:26] [I] timingCacheFile: [06/16/2022-09:25:26] [I] Input(s)s format: fp32:CHW [06/16/2022-09:25:26] [I] Output(s)s format: fp32:CHW [06/16/2022-09:25:26] [I] Input build shapes: model [06/16/2022-09:25:26] [I] Input calibration shapes: model [06/16/2022-09:25:26] [I] === System Options === [06/16/2022-09:25:26] [I] Device: 0 [06/16/2022-09:25:26] [I] DLACore: [06/16/2022-09:25:26] [I] Plugins: [06/16/2022-09:25:26] [I] === Inference Options === [06/16/2022-09:25:26] [I] Batch: Explicit [06/16/2022-09:25:26] [I] Input inference shapes: model [06/16/2022-09:25:26] [I] Iterations: 10 [06/16/2022-09:25:26] [I] Duration: 3s (+ 200ms warm up) [06/16/2022-09:25:26] [I] Sleep time: 0ms [06/16/2022-09:25:26] [I] Idle time: 0ms [06/16/2022-09:25:26] [I] Streams: 1 [06/16/2022-09:25:26] [I] ExposeDMA: Disabled [06/16/2022-09:25:26] [I] Data transfers: Enabled [06/16/2022-09:25:26] [I] Spin-wait: Disabled [06/16/2022-09:25:26] [I] Multithreading: Disabled [06/16/2022-09:25:26] [I] CUDA Graph: Disabled [06/16/2022-09:25:26] [I] Separate profiling: Disabled [06/16/2022-09:25:26] [I] Time Deserialize: Disabled [06/16/2022-09:25:26] [I] Time Refit: Disabled [06/16/2022-09:25:26] [I] Skip inference: Disabled [06/16/2022-09:25:26] [I] Inputs: [06/16/2022-09:25:26] [I] === Reporting Options === [06/16/2022-09:25:26] [I] Verbose: Enabled [06/16/2022-09:25:26] [I] Averages: 10 inferences [06/16/2022-09:25:26] [I] Percentile: 99 [06/16/2022-09:25:26] [I] Dump refittable layers:Disabled [06/16/2022-09:25:26] [I] Dump output: Disabled [06/16/2022-09:25:26] [I] Profile: Disabled [06/16/2022-09:25:26] [I] Export timing to JSON file: [06/16/2022-09:25:26] [I] Export output to JSON file: [06/16/2022-09:25:26] [I] Export profile to JSON file: [06/16/2022-09:25:26] [I] [06/16/2022-09:25:26] [I] === Device Information === [06/16/2022-09:25:26] [I] Selected Device: Quadro RTX 3000 [06/16/2022-09:25:26] [I] Compute Capability: 7.5 [06/16/2022-09:25:26] [I] SMs: 30 [06/16/2022-09:25:26] [I] Compute Clock Rate: 1.38 GHz [06/16/2022-09:25:26] [I] Device Global Memory: 6143 MiB [06/16/2022-09:25:26] [I] Shared Memory per SM: 64 KiB [06/16/2022-09:25:26] [I] Memory Bus Width: 192 bits (ECC disabled) [06/16/2022-09:25:26] [I] Memory Clock Rate: 7.001 GHz [06/16/2022-09:25:26] [I] [06/16/2022-09:25:26] [I] TensorRT version: 8.4.0 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::GridAnchor_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::GridAnchorRect_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::NMS_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::Reorg_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::Region_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::Clip_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::LReLU_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::PriorBox_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::Normalize_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::ScatterND version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::RPROI_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::BatchedNMS_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::BatchedNMSDynamic_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::FlattenConcat_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::CropAndResize version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::DetectionLayer_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::EfficientNMS_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::EfficientNMS_ONNX_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::EfficientNMS_Explicit_TF_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::EfficientNMS_Implicit_TF_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::Proposal version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::ProposalLayer_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::PyramidROIAlign_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::ResizeNearest_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::Split version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::SpecialSlice_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::InstanceNormalization_TRT version 1 [06/16/2022-09:25:26] [V] [TRT] Registered plugin creator - ::InstanceNormalization_TRT version 2 [06/16/2022-09:25:26] [I] [TRT] [MemUsageChange] Init CUDA: CPU +419, GPU +0, now: CPU 9699, GPU 1270 (MiB) [06/16/2022-09:25:27] [I] [TRT] [MemUsageSnapshot] Begin constructing builder kernel library: CPU 9902 MiB, GPU 1270 MiB [06/16/2022-09:25:27] [I] [TRT] [MemUsageSnapshot] End constructing builder kernel library: CPU 10134 MiB, GPU 1344 MiB [06/16/2022-09:25:27] [I] Start parsing network model [06/16/2022-09:25:27] [I] [TRT] ---------------------------------------------------------------- [06/16/2022-09:25:27] [I] [TRT] Input filename: model.onnx [06/16/2022-09:25:27] [I] [TRT] ONNX IR version: 0.0.7 [06/16/2022-09:25:27] [I] [TRT] Opset version: 13 [06/16/2022-09:25:27] [I] [TRT] Producer name: pytorch [06/16/2022-09:25:27] [I] [TRT] Producer version: 1.10 [06/16/2022-09:25:27] [I] [TRT] Domain: [06/16/2022-09:25:27] [I] [TRT] Model version: 0 [06/16/2022-09:25:27] [I] [TRT] Doc string: [06/16/2022-09:25:27] [I] [TRT] ---------------------------------------------------------------- [06/16/2022-09:25:27] [V] [TRT] Plugin creator already registered - ::GridAnchor_TRT version 1 [06/16/2022-09:25:27] [V] [TRT] Plugin creator already registered - ::GridAnchorRect_TRT version 1 [06/16/2022-09:25:27] [V] [TRT] Plugin creator already registered - ::NMS_TRT version 1 [06/16/2022-09:25:27] [V] [TRT] Plugin creator already registered - ::Reorg_TRT version 1 [06/16/2022-09:25:27] [V] [TRT] Plugin creator already registered - ::Region_TRT version 1 [06/16/2022-09:25:27] [V] [TRT] Plugin creator already registered - ::Clip_TRT version 1 [06/16/2022-09:25:27] [V] [TRT] Plugin creator already registered - ::LReLU_TRT version 1 [06/16/2022-09:25:27] [V] [TRT] Plugin creator already registered - ::PriorBox_TRT version 1 [06/16/2022-09:25:27] [V] [TRT] Plugin creator already registered - ::Normalize_TRT version 1 [06/16/2022-09:25:27] [V] [TRT] Plugin creator already registered - ::ScatterND version 1 [06/16/2022-09:25:27] [V] [TRT] Plugin creator already registered - ::RPROI_TRT version 1 [06/16/2022-09:25:27] [V] [TRT] Plugin creator already registered - ::BatchedNMS_TRT version 1 [06/16/2022-09:25:27] [V] [TRT] Plugin creator already registered - ::BatchedNMSDynamic_TRT version 1 [06/16/2022-09:25:28] [V] [TRT] Plugin creator already registered - ::FlattenConcat_TRT version 1 [06/16/2022-09:25:28] [V] [TRT] Plugin creator already registered - ::CropAndResize version 1 [06/16/2022-09:25:28] [V] [TRT] Plugin creator already registered - ::DetectionLayer_TRT version 1 [06/16/2022-09:25:28] [V] [TRT] Plugin creator already registered - ::EfficientNMS_TRT version 1 [06/16/2022-09:25:28] [V] [TRT] Plugin creator already registered - ::EfficientNMS_ONNX_TRT version 1 [06/16/2022-09:25:28] [V] [TRT] Plugin creator already registered - ::EfficientNMS_Explicit_TF_TRT version 1 [06/16/2022-09:25:28] [V] [TRT] Plugin creator already registered - ::EfficientNMS_Implicit_TF_TRT version 1 [06/16/2022-09:25:28] [V] [TRT] Plugin creator already registered - ::Proposal version 1 [06/16/2022-09:25:28] [V] [TRT] Plugin creator already registered - ::ProposalLayer_TRT version 1 [06/16/2022-09:25:28] [V] [TRT] Plugin creator already registered - ::PyramidROIAlign_TRT version 1 [06/16/2022-09:25:28] [V] [TRT] Plugin creator already registered - ::ResizeNearest_TRT version 1 [06/16/2022-09:25:28] [V] [TRT] Plugin creator already registered - ::Split version 1 [06/16/2022-09:25:28] [V] [TRT] Plugin creator already registered - ::SpecialSlice_TRT version 1 [06/16/2022-09:25:28] [V] [TRT] Plugin creator already registered - ::InstanceNormalization_TRT version 1 [06/16/2022-09:25:28] [V] [TRT] Plugin creator already registered - ::InstanceNormalization_TRT version 2 [06/16/2022-09:25:28] [V] [TRT] Adding network input: input with dtype: float32, dimensions: (1, 3, 320, 256) [06/16/2022-09:25:28] [V] [TRT] Registering tensor: input for ONNX tensor: input [06/16/2022-09:25:28] [V] [TRT] Importing initializer: descriptor_map.layer_01.3.weight [06/16/2022-09:25:28] [V] [TRT] Importing initializer: descriptor_map.layer_23.0.running_mean [06/16/2022-09:25:28] [V] [TRT] Importing initializer: descriptor_map.layer_23.0.running_var [06/16/2022-09:25:28] [V] [TRT] Importing initializer: descriptor_map.layer_23.5.weight [06/16/2022-09:25:28] [V] [TRT] Importing initializer: descriptor_map.layer_45.0.running_mean [06/16/2022-09:25:28] [V] [TRT] Importing initializer: descriptor_map.layer_45.0.running_var [06/16/2022-09:25:28] [V] [TRT] Importing initializer: descriptor_map.layer_678.6.weight [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 800 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 801 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 803 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 804 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 806 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 807 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 809 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 810 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 812 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 813 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 815 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 816 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 821 [06/16/2022-09:25:28] [W] [TRT] onnx2trt_utils.cpp:365: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32. [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 825 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 826 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 831 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 835 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 840 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 844 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 845 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 850 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 854 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 859 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 863 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 864 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 869 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 873 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 874 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 875 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 879 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 880 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 884 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 885 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 887 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 888 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 889 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 890 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 891 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 892 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 893 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 894 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 895 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 896 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 897 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 898 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 899 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 900 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 901 [06/16/2022-09:25:28] [V] [TRT] Importing initializer: 902 [06/16/2022-09:25:28] [V] [TRT] Parsing node: Conv_0 [Conv] [06/16/2022-09:25:28] [V] [TRT] Searching for input: input [06/16/2022-09:25:28] [V] [TRT] Searching for input: 800 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 801 [06/16/2022-09:25:28] [V] [TRT] Conv_0 [Conv] inputs: [input -> (1, 3, 320, 256)[FLOAT]], [800 -> (32, 3, 3, 3)[FLOAT]], [801 -> (32)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Convolution input dimensions: (1, 3, 320, 256) [06/16/2022-09:25:28] [V] [TRT] Registering layer: Conv_0 for ONNX node: Conv_0 [06/16/2022-09:25:28] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 32 [06/16/2022-09:25:28] [V] [TRT] Convolution output dimensions: (1, 32, 320, 256) [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 799 for ONNX tensor: 799 [06/16/2022-09:25:28] [V] [TRT] Conv_0 [Conv] outputs: [799 -> (1, 32, 320, 256)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Relu_1 [Relu] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 799 [06/16/2022-09:25:28] [V] [TRT] Relu_1 [Relu] inputs: [799 -> (1, 32, 320, 256)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: Relu_1 for ONNX node: Relu_1 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 40 for ONNX tensor: 40 [06/16/2022-09:25:28] [V] [TRT] Relu_1 [Relu] outputs: [40 -> (1, 32, 320, 256)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Conv_2 [Conv] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 40 [06/16/2022-09:25:28] [V] [TRT] Searching for input: descriptor_map.layer_01.3.weight [06/16/2022-09:25:28] [V] [TRT] Conv_2 [Conv] inputs: [40 -> (1, 32, 320, 256)[FLOAT]], [descriptor_map.layer_01.3.weight -> (32, 32, 3, 3)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Convolution input dimensions: (1, 32, 320, 256) [06/16/2022-09:25:28] [V] [TRT] Registering layer: Conv_2 for ONNX node: Conv_2 [06/16/2022-09:25:28] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 32 [06/16/2022-09:25:28] [V] [TRT] Convolution output dimensions: (1, 32, 320, 256) [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 41 for ONNX tensor: 41 [06/16/2022-09:25:28] [V] [TRT] Conv_2 [Conv] outputs: [41 -> (1, 32, 320, 256)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Constant_3 [Constant] [06/16/2022-09:25:28] [V] [TRT] Constant_3 [Constant] inputs: [06/16/2022-09:25:28] [V] [TRT] Constant_3 [Constant] outputs: [42 -> (32)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Constant_4 [Constant] [06/16/2022-09:25:28] [V] [TRT] Constant_4 [Constant] inputs: [06/16/2022-09:25:28] [V] [TRT] Constant_4 [Constant] outputs: [43 -> (32)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: BatchNormalization_5 [BatchNormalization] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 41 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 42 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 43 [06/16/2022-09:25:28] [V] [TRT] Searching for input: descriptor_map.layer_23.0.running_mean [06/16/2022-09:25:28] [V] [TRT] Searching for input: descriptor_map.layer_23.0.running_var [06/16/2022-09:25:28] [V] [TRT] BatchNormalization_5 [BatchNormalization] inputs: [41 -> (1, 32, 320, 256)[FLOAT]], [42 -> (32)[FLOAT]], [43 -> (32)[FLOAT]], [descriptor_map.layer_23.0.running_mean -> (32)[FLOAT]], [descriptor_map.layer_23.0.running_var -> (32)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: BatchNormalization_5 for ONNX node: BatchNormalization_5 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 44 for ONNX tensor: 44 [06/16/2022-09:25:28] [V] [TRT] BatchNormalization_5 [BatchNormalization] outputs: [44 -> (1, 32, 320, 256)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Relu_6 [Relu] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 44 [06/16/2022-09:25:28] [V] [TRT] Relu_6 [Relu] inputs: [44 -> (1, 32, 320, 256)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: Relu_6 for ONNX node: Relu_6 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 45 for ONNX tensor: 45 [06/16/2022-09:25:28] [V] [TRT] Relu_6 [Relu] outputs: [45 -> (1, 32, 320, 256)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Conv_7 [Conv] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 45 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 803 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 804 [06/16/2022-09:25:28] [V] [TRT] Conv_7 [Conv] inputs: [45 -> (1, 32, 320, 256)[FLOAT]], [803 -> (64, 32, 3, 3)[FLOAT]], [804 -> (64)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Convolution input dimensions: (1, 32, 320, 256) [06/16/2022-09:25:28] [V] [TRT] Registering layer: Conv_7 for ONNX node: Conv_7 [06/16/2022-09:25:28] [V] [TRT] Using kernel: (3, 3), strides: (2, 2), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64 [06/16/2022-09:25:28] [V] [TRT] Convolution output dimensions: (1, 64, 160, 128) [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 802 for ONNX tensor: 802 [06/16/2022-09:25:28] [V] [TRT] Conv_7 [Conv] outputs: [802 -> (1, 64, 160, 128)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Relu_8 [Relu] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 802 [06/16/2022-09:25:28] [V] [TRT] Relu_8 [Relu] inputs: [802 -> (1, 64, 160, 128)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: Relu_8 for ONNX node: Relu_8 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 50 for ONNX tensor: 50 [06/16/2022-09:25:28] [V] [TRT] Relu_8 [Relu] outputs: [50 -> (1, 64, 160, 128)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Conv_9 [Conv] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 50 [06/16/2022-09:25:28] [V] [TRT] Searching for input: descriptor_map.layer_23.5.weight [06/16/2022-09:25:28] [V] [TRT] Conv_9 [Conv] inputs: [50 -> (1, 64, 160, 128)[FLOAT]], [descriptor_map.layer_23.5.weight -> (64, 64, 3, 3)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Convolution input dimensions: (1, 64, 160, 128) [06/16/2022-09:25:28] [V] [TRT] Registering layer: Conv_9 for ONNX node: Conv_9 [06/16/2022-09:25:28] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64 [06/16/2022-09:25:28] [V] [TRT] Convolution output dimensions: (1, 64, 160, 128) [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 51 for ONNX tensor: 51 [06/16/2022-09:25:28] [V] [TRT] Conv_9 [Conv] outputs: [51 -> (1, 64, 160, 128)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Constant_10 [Constant] [06/16/2022-09:25:28] [V] [TRT] Constant_10 [Constant] inputs: [06/16/2022-09:25:28] [V] [TRT] Constant_10 [Constant] outputs: [52 -> (64)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Constant_11 [Constant] [06/16/2022-09:25:28] [V] [TRT] Constant_11 [Constant] inputs: [06/16/2022-09:25:28] [V] [TRT] Constant_11 [Constant] outputs: [53 -> (64)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: BatchNormalization_12 [BatchNormalization] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 51 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 52 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 53 [06/16/2022-09:25:28] [V] [TRT] Searching for input: descriptor_map.layer_45.0.running_mean [06/16/2022-09:25:28] [V] [TRT] Searching for input: descriptor_map.layer_45.0.running_var [06/16/2022-09:25:28] [V] [TRT] BatchNormalization_12 [BatchNormalization] inputs: [51 -> (1, 64, 160, 128)[FLOAT]], [52 -> (64)[FLOAT]], [53 -> (64)[FLOAT]], [descriptor_map.layer_45.0.running_mean -> (64)[FLOAT]], [descriptor_map.layer_45.0.running_var -> (64)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: BatchNormalization_12 for ONNX node: BatchNormalization_12 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 54 for ONNX tensor: 54 [06/16/2022-09:25:28] [V] [TRT] BatchNormalization_12 [BatchNormalization] outputs: [54 -> (1, 64, 160, 128)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Relu_13 [Relu] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 54 [06/16/2022-09:25:28] [V] [TRT] Relu_13 [Relu] inputs: [54 -> (1, 64, 160, 128)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: Relu_13 for ONNX node: Relu_13 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 55 for ONNX tensor: 55 [06/16/2022-09:25:28] [V] [TRT] Relu_13 [Relu] outputs: [55 -> (1, 64, 160, 128)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Conv_14 [Conv] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 55 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 806 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 807 [06/16/2022-09:25:28] [V] [TRT] Conv_14 [Conv] inputs: [55 -> (1, 64, 160, 128)[FLOAT]], [806 -> (128, 64, 3, 3)[FLOAT]], [807 -> (128)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Convolution input dimensions: (1, 64, 160, 128) [06/16/2022-09:25:28] [V] [TRT] Registering layer: Conv_14 for ONNX node: Conv_14 [06/16/2022-09:25:28] [V] [TRT] Using kernel: (3, 3), strides: (2, 2), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 128 [06/16/2022-09:25:28] [V] [TRT] Convolution output dimensions: (1, 128, 80, 64) [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 805 for ONNX tensor: 805 [06/16/2022-09:25:28] [V] [TRT] Conv_14 [Conv] outputs: [805 -> (1, 128, 80, 64)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Relu_15 [Relu] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 805 [06/16/2022-09:25:28] [V] [TRT] Relu_15 [Relu] inputs: [805 -> (1, 128, 80, 64)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: Relu_15 for ONNX node: Relu_15 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 60 for ONNX tensor: 60 [06/16/2022-09:25:28] [V] [TRT] Relu_15 [Relu] outputs: [60 -> (1, 128, 80, 64)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Conv_16 [Conv] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 60 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 809 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 810 [06/16/2022-09:25:28] [V] [TRT] Conv_16 [Conv] inputs: [60 -> (1, 128, 80, 64)[FLOAT]], [809 -> (128, 128, 3, 3)[FLOAT]], [810 -> (128)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Convolution input dimensions: (1, 128, 80, 64) [06/16/2022-09:25:28] [V] [TRT] Registering layer: Conv_16 for ONNX node: Conv_16 [06/16/2022-09:25:28] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 128 [06/16/2022-09:25:28] [V] [TRT] Convolution output dimensions: (1, 128, 80, 64) [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 808 for ONNX tensor: 808 [06/16/2022-09:25:28] [V] [TRT] Conv_16 [Conv] outputs: [808 -> (1, 128, 80, 64)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Relu_17 [Relu] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 808 [06/16/2022-09:25:28] [V] [TRT] Relu_17 [Relu] inputs: [808 -> (1, 128, 80, 64)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: Relu_17 for ONNX node: Relu_17 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 65 for ONNX tensor: 65 [06/16/2022-09:25:28] [V] [TRT] Relu_17 [Relu] outputs: [65 -> (1, 128, 80, 64)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Conv_18 [Conv] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 65 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 812 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 813 [06/16/2022-09:25:28] [V] [TRT] Conv_18 [Conv] inputs: [65 -> (1, 128, 80, 64)[FLOAT]], [812 -> (128, 128, 3, 3)[FLOAT]], [813 -> (128)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Convolution input dimensions: (1, 128, 80, 64) [06/16/2022-09:25:28] [V] [TRT] Registering layer: Conv_18 for ONNX node: Conv_18 [06/16/2022-09:25:28] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 128 [06/16/2022-09:25:28] [V] [TRT] Convolution output dimensions: (1, 128, 80, 64) [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 811 for ONNX tensor: 811 [06/16/2022-09:25:28] [V] [TRT] Conv_18 [Conv] outputs: [811 -> (1, 128, 80, 64)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Relu_19 [Relu] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 811 [06/16/2022-09:25:28] [V] [TRT] Relu_19 [Relu] inputs: [811 -> (1, 128, 80, 64)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: Relu_19 for ONNX node: Relu_19 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 70 for ONNX tensor: 70 [06/16/2022-09:25:28] [V] [TRT] Relu_19 [Relu] outputs: [70 -> (1, 128, 80, 64)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Conv_20 [Conv] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 70 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 815 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 816 [06/16/2022-09:25:28] [V] [TRT] Conv_20 [Conv] inputs: [70 -> (1, 128, 80, 64)[FLOAT]], [815 -> (128, 128, 3, 3)[FLOAT]], [816 -> (128)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Convolution input dimensions: (1, 128, 80, 64) [06/16/2022-09:25:28] [V] [TRT] Registering layer: Conv_20 for ONNX node: Conv_20 [06/16/2022-09:25:28] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 128 [06/16/2022-09:25:28] [V] [TRT] Convolution output dimensions: (1, 128, 80, 64) [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 814 for ONNX tensor: 814 [06/16/2022-09:25:28] [V] [TRT] Conv_20 [Conv] outputs: [814 -> (1, 128, 80, 64)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Relu_21 [Relu] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 814 [06/16/2022-09:25:28] [V] [TRT] Relu_21 [Relu] inputs: [814 -> (1, 128, 80, 64)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: Relu_21 for ONNX node: Relu_21 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 75 for ONNX tensor: 75 [06/16/2022-09:25:28] [V] [TRT] Relu_21 [Relu] outputs: [75 -> (1, 128, 80, 64)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Conv_22 [Conv] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 75 [06/16/2022-09:25:28] [V] [TRT] Searching for input: descriptor_map.layer_678.6.weight [06/16/2022-09:25:28] [V] [TRT] Conv_22 [Conv] inputs: [75 -> (1, 128, 80, 64)[FLOAT]], [descriptor_map.layer_678.6.weight -> (128, 128, 3, 3)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Convolution input dimensions: (1, 128, 80, 64) [06/16/2022-09:25:28] [V] [TRT] Registering layer: Conv_22 for ONNX node: Conv_22 [06/16/2022-09:25:28] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 128 [06/16/2022-09:25:28] [V] [TRT] Convolution output dimensions: (1, 128, 80, 64) [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 76 for ONNX tensor: 76 [06/16/2022-09:25:28] [V] [TRT] Conv_22 [Conv] outputs: [76 -> (1, 128, 80, 64)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Constant_23 [Constant] [06/16/2022-09:25:28] [V] [TRT] Constant_23 [Constant] inputs: [06/16/2022-09:25:28] [V] [TRT] Constant_23 [Constant] outputs: [77 -> ()[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Div_24 [Div] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 41 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 77 [06/16/2022-09:25:28] [V] [TRT] Div_24 [Div] inputs: [41 -> (1, 32, 320, 256)[FLOAT]], [77 -> ()[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: 77 for ONNX node: 77 [06/16/2022-09:25:28] [V] [TRT] Registering layer: Div_24 for ONNX node: Div_24 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 78 for ONNX tensor: 78 [06/16/2022-09:25:28] [V] [TRT] Div_24 [Div] outputs: [78 -> (1, 32, 320, 256)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Reshape_25 [Reshape] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 78 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 821 [06/16/2022-09:25:28] [V] [TRT] Reshape_25 [Reshape] inputs: [78 -> (1, 32, 320, 256)[FLOAT]], [821 -> (4)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: Reshape_25 for ONNX node: Reshape_25 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 94 for ONNX tensor: 94 [06/16/2022-09:25:28] [V] [TRT] Reshape_25 [Reshape] outputs: [94 -> (32, 1, 320, 256)[FLOAT]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: ConstantOfShape_26 [ConstantOfShape] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 825 [06/16/2022-09:25:28] [V] [TRT] ConstantOfShape_26 [ConstantOfShape] inputs: [825 -> (1)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: 825 for ONNX node: 825 [06/16/2022-09:25:28] [V] [TRT] Registering layer: ConstantOfShape_26 for ONNX node: ConstantOfShape_26 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 104 for ONNX tensor: 104 [06/16/2022-09:25:28] [V] [TRT] ConstantOfShape_26 [ConstantOfShape] outputs: [104 -> (4)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Concat_27 [Concat] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 826 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 104 [06/16/2022-09:25:28] [V] [TRT] Concat_27 [Concat] inputs: [826 -> (4)[INT32]], [104 -> (4)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: 826 for ONNX node: 826 [06/16/2022-09:25:28] [V] [TRT] Registering layer: Concat_27 for ONNX node: Concat_27 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 105 for ONNX tensor: 105 [06/16/2022-09:25:28] [V] [TRT] Concat_27 [Concat] outputs: [105 -> (8)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Constant_28 [Constant] [06/16/2022-09:25:28] [V] [TRT] Constant_28 [Constant] inputs: [06/16/2022-09:25:28] [V] [TRT] Constant_28 [Constant] outputs: [106 -> (2)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Reshape_29 [Reshape] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 105 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 106 [06/16/2022-09:25:28] [V] [TRT] Reshape_29 [Reshape] inputs: [105 -> (8)[INT32]], [106 -> (2)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: Reshape_29 for ONNX node: Reshape_29 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 107 for ONNX tensor: 107 [06/16/2022-09:25:28] [V] [TRT] Reshape_29 [Reshape] outputs: [107 -> (4, 2)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Constant_30 [Constant] [06/16/2022-09:25:28] [V] [TRT] Constant_30 [Constant] inputs: [06/16/2022-09:25:28] [V] [TRT] Constant_30 [Constant] outputs: [108 -> (1)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Constant_31 [Constant] [06/16/2022-09:25:28] [V] [TRT] Constant_31 [Constant] inputs: [06/16/2022-09:25:28] [V] [TRT] Constant_31 [Constant] outputs: [109 -> (1)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Constant_32 [Constant] [06/16/2022-09:25:28] [V] [TRT] Constant_32 [Constant] inputs: [06/16/2022-09:25:28] [V] [TRT] Weight at index 0: -9223372036854775807 is out of range. Clamping to: -2147483648 [06/16/2022-09:25:28] [W] [TRT] onnx2trt_utils.cpp:391: One or more weights outside the range of INT32 was clamped [06/16/2022-09:25:28] [V] [TRT] Constant_32 [Constant] outputs: [110 -> (1)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Constant_33 [Constant] [06/16/2022-09:25:28] [V] [TRT] Constant_33 [Constant] inputs: [06/16/2022-09:25:28] [V] [TRT] Constant_33 [Constant] outputs: [111 -> (1)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Slice_34 [Slice] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 107 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 109 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 110 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 108 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 111 [06/16/2022-09:25:28] [V] [TRT] Slice_34 [Slice] inputs: [107 -> (4, 2)[INT32]], [109 -> (1)[INT32]], [110 -> (1)[INT32]], [108 -> (1)[INT32]], [111 -> (1)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: Slice_34 for ONNX node: Slice_34 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 112 for ONNX tensor: 112 [06/16/2022-09:25:28] [V] [TRT] Slice_34 [Slice] outputs: [112 -> (4, 2)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Transpose_35 [Transpose] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 112 [06/16/2022-09:25:28] [V] [TRT] Transpose_35 [Transpose] inputs: [112 -> (4, 2)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: Transpose_35 for ONNX node: Transpose_35 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 113 for ONNX tensor: 113 [06/16/2022-09:25:28] [V] [TRT] Transpose_35 [Transpose] outputs: [113 -> (2, 4)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Constant_36 [Constant] [06/16/2022-09:25:28] [V] [TRT] Constant_36 [Constant] inputs: [06/16/2022-09:25:28] [V] [TRT] Constant_36 [Constant] outputs: [114 -> (1)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Reshape_37 [Reshape] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 113 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 114 [06/16/2022-09:25:28] [V] [TRT] Reshape_37 [Reshape] inputs: [113 -> (2, 4)[INT32]], [114 -> (1)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: Reshape_37 for ONNX node: Reshape_37 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 115 for ONNX tensor: 115 [06/16/2022-09:25:28] [V] [TRT] Reshape_37 [Reshape] outputs: [115 -> (8)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Cast_38 [Cast] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 115 [06/16/2022-09:25:28] [V] [TRT] Cast_38 [Cast] inputs: [115 -> (8)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Casting to type: int32 [06/16/2022-09:25:28] [V] [TRT] Registering layer: Cast_38 for ONNX node: Cast_38 [06/16/2022-09:25:28] [V] [TRT] Registering tensor: 116 for ONNX tensor: 116 [06/16/2022-09:25:28] [V] [TRT] Cast_38 [Cast] outputs: [116 -> (8)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Parsing node: Pad_39 [Pad] [06/16/2022-09:25:28] [V] [TRT] Searching for input: 94 [06/16/2022-09:25:28] [V] [TRT] Searching for input: 116 [06/16/2022-09:25:28] [V] [TRT] Pad_39 [Pad] inputs: [94 -> (32, 1, 320, 256)[FLOAT]], [116 -> (8)[INT32]], [06/16/2022-09:25:28] [V] [TRT] Registering layer: Pad_39 for ONNX node: Pad_39 [06/16/2022-09:25:28] [E] Error[4]: [shuffleNode.cpp::nvinfer1::builder::ShuffleNode::symbolicExecute::391] Error Code 4: Internal Error (Reshape_29: IShuffleLayer applied to shape tensor must have 0 or 1 reshape dimensions: dimensions were [-1,2]) [06/16/2022-09:25:28] [E] [TRT] ModelImporter.cpp:748: While parsing node number 39 [Pad -> "117"]: [06/16/2022-09:25:28] [E] [TRT] ModelImporter.cpp:749: --- Begin node --- [06/16/2022-09:25:28] [E] [TRT] ModelImporter.cpp:750: input: "94" input: "116" output: "117" name: "Pad_39" op_type: "Pad" attribute { name: "mode" s: "reflect" type: STRING } [06/16/2022-09:25:28] [E] [TRT] ModelImporter.cpp:751: --- End node --- [06/16/2022-09:25:28] [E] [TRT] ModelImporter.cpp:754: ERROR: ModelImporter.cpp:179 In function parseGraph: [6] Invalid Node - Pad_39 [shuffleNode.cpp::nvinfer1::builder::ShuffleNode::symbolicExecute::391] Error Code 4: Internal Error (Reshape_29: IShuffleLayer applied to shape tensor must have 0 or 1 reshape dimensions: dimensions were [-1,2]) [06/16/2022-09:25:28] [E] Failed to parse onnx file [06/16/2022-09:25:28] [I] Finish parsing network model [06/16/2022-09:25:28] [E] Parsing model failed [06/16/2022-09:25:28] [E] Failed to create engine from model. [06/16/2022-09:25:28] [E] Engine set up failed &&&& FAILED TensorRT.trtexec [TensorRT v8400] # trtexec.exe --onnx=model.onnx --verbose