Description
[TensorRT] ERROR: Parameter check failed at: …/builder/Layers.cpp::setInput::555, condition: mNetwork->hasExplicitPrecision() ? index <= 1 : index <= 0
[TensorRT] ERROR: Conv_24: kernel weights has count 0 but 4096 was expected
[TensorRT] ERROR: Conv_24: count of 0 weights in kernel, but kernel dimensions (4,4) with 256 input channels, 256 output channels and 256 groups were specified. Expected Weights count is 256 * 44 * 256 / 256 = 4096
[TensorRT] ERROR: Conv_24: kernel weights has count 0 but 4096 was expected
[TensorRT] ERROR: Conv_24: count of 0 weights in kernel, but kernel dimensions (4,4) with 256 input channels, 256 output channels and 256 groups were specified. Expected Weights count is 256 * 44 * 256 / 256 = 4096
[TensorRT] ERROR: Conv_24: kernel weights has count 0 but 4096 was expected
[TensorRT] ERROR: Conv_24: count of 0 weights in kernel, but kernel dimensions (4,4) with 256 input channels, 256 output channels and 256 groups were specified. Expected Weights count is 256 * 44 * 256 / 256 = 4096
[TensorRT] ERROR: Conv_24: kernel weights has count 0 but 4096 was expected
[TensorRT] ERROR: Conv_24: count of 0 weights in kernel, but kernel dimensions (4,4) with 256 input channels, 256 output channels and 256 groups were specified. Expected Weights count is 256 * 44 * 256 / 256 = 4096
[TensorRT] ERROR: Conv_24: kernel weights has count 0 but 4096 was expected
[TensorRT] ERROR: Conv_24: count of 0 weights in kernel, but kernel dimensions (4,4) with 256 input channels, 256 output channels and 256 groups were specified. Expected Weights count is 256 * 44 * 256 / 256 = 4096
[TensorRT] ERROR: Conv_24: kernel weights has count 0 but 4096 was expected
[TensorRT] ERROR: Conv_24: count of 0 weights in kernel, but kernel dimensions (4,4) with 256 input channels, 256 output channels and 256 groups were specified. Expected Weights count is 256 * 44 * 256 / 256 = 4096
[TensorRT] ERROR: Conv_24: kernel weights has count 0 but 4096 was expected
[TensorRT] ERROR: Conv_24: count of 0 weights in kernel, but kernel dimensions (4,4) with 256 input channels, 256 output channels and 256 groups were specified. Expected Weights count is 256 * 44 * 256 / 256 = 4096
[TensorRT] ERROR: Conv_24: kernel weights has count 0 but 4096 was expected
[TensorRT] ERROR: Conv_24: count of 0 weights in kernel, but kernel dimensions (4,4) with 256 input channels, 256 output channels and 256 groups were specified. Expected Weights count is 256 * 44 * 256 / 256 = 4096
[TensorRT] ERROR: Conv_24: kernel weights has count 0 but 4096 was expected
[TensorRT] ERROR: Conv_24: count of 0 weights in kernel, but kernel dimensions (4,4) with 256 input channels, 256 output channels and 256 groups were specified. Expected Weights count is 256 * 44 * 256 / 256 = 4096
[TensorRT] ERROR: Conv_24: kernel weights has count 0 but 4096 was expected
[TensorRT] ERROR: Conv_24: count of 0 weights in kernel, but kernel dimensions (4,4) with 256 input channels, 256 output channels and 256 groups were specified. Expected Weights count is 256 * 44 * 256 / 256 = 4096
[TensorRT] ERROR: Conv_24: kernel weights has count 0 but 4096 was expected
[TensorRT] ERROR: Conv_24: count of 0 weights in kernel, but kernel dimensions (4,4) with 256 input channels, 256 output channels and 256 groups were specified. Expected Weights count is 256 * 4*4 * 256 / 256 = 4096
ERROR: Failed to parse the ONNX file.
In node -1 (scaleHelper): UNSUPPORTED_NODE: Assertion failed: dims.nbDims == 4 || dims.nbDims == 5
when i convertsiamfcpp to tensorRT engine, I got this bug.
conv_24 is that blue node on the right,it use this right input as its filter,but it seems not works, has this happened to anyone?
Environment
TensorRT Version: 7.1.3
GPU Type:
Nvidia Driver Version:
CUDA Version:
CUDNN Version:
Operating System + Version: jetpack 4.5.1
Python Version (if applicable):
TensorFlow Version (if applicable):
PyTorch Version (if applicable):
Baremetal or Container (if container which image + tag):