Your ONNX model has been generated with INT64 weights

[Water2style]

Bug Report

Which model does this pertain to?

tiny-yolov3

Describe the bug

[TensorRT] WARNING: onnx2trt_utils.cpp:217: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32. [TensorRT] WARNING: onnx2trt_utils.cpp:243: One or more weights outside the range of INT32 was clamped [TensorRT] WARNING: onnx2trt_utils.cpp:243: One or more weights outside the range of INT32 was clamped [TensorRT] WARNING: onnx2trt_utils.cpp:243: One or more weights outside the range of INT32 was clamped [TensorRT] WARNING: onnx2trt_utils.cpp:243: One or more weights outside the range of INT32 was clamped [TensorRT] WARNING: onnx2trt_utils.cpp:243: One or more weights outside the range of INT32 was clamped [TensorRT] WARNING: onnx2trt_utils.cpp:243: One or more weights outside the range of INT32 was clamped [TensorRT] WARNING: onnx2trt_utils.cpp:243: One or more weights outside the range of INT32 was clamped [TensorRT] WARNING: onnx2trt_utils.cpp:243: One or more weights outside the range of INT32 was clamped [TensorRT] WARNING: onnx2trt_utils.cpp:243: One or more weights outside the range of INT32 was clamped [TensorRT] WARNING: onnx2trt_utils.cpp:243: One or more weights outside the range of INT32 was clamped [TensorRT] ERROR: (Unnamed Layer* 0) [Convolution]: image size is smaller than filter size [TensorRT] ERROR: conv2d_1: image size is smaller than filter size [TensorRT] ERROR: conv2d_1: image size is smaller than filter size [TensorRT] ERROR: conv2d_1: image size is smaller than filter size [TensorRT] ERROR: conv2d_1: image size is smaller than filter size [TensorRT] ERROR: conv2d_1: image size is smaller than filter size [TensorRT] ERROR: conv2d_1: image size is smaller than filter size ERROR: Failed to parse the ONNX file. In node -1 (scaleHelper): UNSUPPORTED_NODE: Assertion failed: dims.nbDims == 4 || dims.nbDims == 5

Reproduction instructions

System Information

OS Platform and Distribution (e.g. Linux Ubuntu 16.04): jetpack 4.4 ONNX version (e.g. 1.6): 1.4.1 Backend/Runtime version (e.g. ONNX Runtime 1.1, PyTorch 1.2): pytorch 1.5

Provide a code snippet to reproduce your errors.

import onnx
model = onnx.load('model.onnx')
...

Notes

I used my own .pth model to Onnx. and Onnx to TRT ,also ouucr [TensorRT] WARNING: onnx2trt_utils.cpp:217: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.

[skottmckay]

Is this an issue with onnx-tensorrt? If so https://github.com/onnx/onnx-tensorrt/issues may be a better place to ask the question.