🐛 [Bug] Resize is currently not support in dynamic input shape compilation

[LightSun]

Bug Description

I build the torch-Tensorrt my self at day 2022-04-05. Everything work ok unless I run the module. the log is:

WARNING: [Torch-TensorRT] - Dilation not used in Max pooling converter
WARNING: [Torch-TensorRT] - There may be undefined behavior using dynamic shape and aten::size
terminate called after throwing an instance of 'torch_tensorrt::Error'
  what():  [Error thrown at core/conversion/converters/impl/shuffle.cpp:47] Resize is currently not support in dynamic input shape compilation

To Reproduce

currenly can't latter may I provide a dynamic sample.

Expected behavior

running ok for everything.

Environment

• Torch-TensorRT Version : the master newest at day 2022-04-05
• Tensorrt: 8.2.2.1
• PyTorch Version (e.g. 1.10.0): 1.10.0
• CPU Architecture: x86_64
• OS (e.g., Linux): ubuntu 18.04
• How you installed PyTorch (conda, pip, libtorch, source): conda with pip.
• Build command you used (if compiling from source):

bazel build //:libtorchtrt --compilation_mode opt

• Are you using local sources or building from archives: true. (libtorch-1.10.0 and rensorrt-8.2.2.1)

• Python version: 3.6

• CUDA version: 11.1

• GPU models and configuration:

• Any other relevant information:

Additional context

torch usage.

std::vector<int64_t> minOps {1, dims.d[1], dims.d[2], dims.d[3]};
  std::vector<int64_t> optOps {2, dims.d[1], dims.d[2], dims.d[3]};
  std::vector<int64_t> maxOps {mParams->in.maxBatchSize, dims.d[1], dims.d[2], dims.d[3]};
  auto input = torch_tensorrt::Input(minOps, optOps, maxOps,
                                     mParams->in.fp16 ?torch::kFloat16: torch::kFloat32);
  auto compile_settings = torch_tensorrt::ts::CompileSpec({input});
  // FP16
  compile_settings.enabled_precisions = {mParams->in.fp16 ?torch::kFloat16: torch::kFloat32};
 ...

Could anyone can help me ?

[LightSun]

@xsacha @aaronp24 @itsliupeng @lukeyeager

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[github-actions[bot]]

This issue has not seen activity for 90 days, Remove stale label or comment or this will be closed in 10 days