NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
Let say I define a global tensor t1, where shape is [1, 12, 2000, 112], and the actual input tensor t2 shape is [1, 12, 40, 112]. I have copied the actual value of t2 to t1 using _copy, and in the inner model logic, I use slice to get the actual content, like t1[:, :, :40, :].
However, I found this does not work in TensorRT, but works in ONNX. So how can I deal with this ?
Let say I define a global tensor
t1
, where shape is[1, 12, 2000, 112]
, and the actual input tensort2
shape is[1, 12, 40, 112]
. I have copied the actual value oft2
tot1
using_copy
, and in the inner model logic, I use slice to get the actual content, liket1[:, :, :40, :]
.However, I found this does not work in TensorRT, but works in ONNX. So how can I deal with this ?