Problem with dialation convolution (wrong dimension output with TensorRT)

Robotics & Edge Computing Jetson & Embedded Systems Jetson AGX Xavier
1

Hi

I created a model with Keras. Everything is ok with Keras.
But when running inference using TensorRT the dimension is not correct.
You can re-produce by making a simple network in Keras and comparing the output size (HWC*4) of Keras and Tensorrt:

x = ZeroPadding2D((3, 3))(img_input)
    x = Conv2D(12, kernel_size=(3,3), strides=(1, 1), dilation_rate=(2, 2), padding='same')(x)

I found the problem because using padding=‘same’.

So how to fix it?
=> fixed it by changing the model.

Thanks.