Is Amirstan_plugin now compulsory?

[albertodallolio]

Dear grimoire, thanks a lot for your repo.

I am planning to update my tensorrt and torch versions. For this I need to get the latest version of this repo. However I noticed that if I install torch2trt_dynamic from HEAD after #33 I get the following issue:

OSError: /opt/conda/lib/python3.11/site-packages/torch2trt_dynamic/plugins/libamirstan_plugin.so: cannot open shared object file: No such file or directory

Is Amirstan_plugin now not optional anymore? If so, would it be possible to make optional again? I was using this repo from #25 and I could successfully export trt models without amirstan plugin.

Thanks in advance for your help.

[grimoire]

The plugin is loaded here:

https://github.com/grimoire/torch2trt_dynamic/blob/05c5fdce8db9a8ff74ebbecc5ae23c74a07b7016/torch2trt_dynamic/plugins/globals.py#L14-L15

You can wrap it in a try-except block to ignore the loading.

[albertodallolio]

Hey @grimoire , thanks a lot for the suggestion.

That solves this issue and I also needed to modify these lines to work properly with tensorrt 10.5.0. The solution is to use INTERPOLATION_MODE instead of ResizeMode. (I can open a PR if you want to address this)

However I am now getting a separate error:

Traceback (most recent call last):
  File "/my_code/trt_generation/torch_2_trt_fmaps.py", line 109, in <module>
    model_trt = torch2trt_dynamic(model, [images_iter_1[0][0], images_iter_1[0][1]], fp16_mode=True, opt_shape_param=opt_shape_param)
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.11/site-packages/torch2trt_dynamic/torch2trt_dynamic.py", line 641, in torch2trt_dynamic
    return module2trt(module, args=inputs, config=config, log_level=log_level)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.11/site-packages/torch2trt_dynamic/torch2trt_dynamic.py", line 599, in module2trt
    return func2trt(
           ^^^^^^^^^
  File "/opt/conda/lib/python3.11/site-packages/torch2trt_dynamic/torch2trt_dynamic.py", line 587, in func2trt
    engine, module_meta = build_engine(func, inputs, config, log_level)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.11/site-packages/torch2trt_dynamic/torch2trt_dynamic.py", line 556, in build_engine
    network, module_meta = build_network(builder, func, inputs, config=config)
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.11/site-packages/torch2trt_dynamic/torch2trt_dynamic.py", line 486, in build_network
    outputs = func(**inputs)
              ^^^^^^^^^^^^^^
  File "/my_code/cres_nets/extractor.py", line 164, in forward
    fmap1_dw8 = F.avg_pool2d(fmap1, 2, stride=2)
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.11/site-packages/torch2trt_dynamic/torch2trt_dynamic.py", line 313, in wrapper
    converter['converter'](ctx)
  File "/opt/conda/lib/python3.11/site-packages/torch2trt_dynamic/converters/avg_pool2d.py", line 19, in convert_avg_pool2d
    input_trt = trt_(ctx.network, input)
                ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/conda/lib/python3.11/site-packages/torch2trt_dynamic/torch2trt_dynamic.py", line 132, in trt_
    num_dim = len(t._trt.shape)
              ^^^^^^^^^^^^^^^^^
ValueError: __len__() should return >= 0

and I am fairly sure it is coming from this step:

fmap1 = x[:x.shape[0]//2]
fmap2 = x[x.shape[0]//2:]
return [x1, x2]

I have tried also using torch.split or torch.chunk as suggested in #21 but I still get the same error. I added a print right before the error num_dim = len(t._trt.shape) and I noticed that the tensor shape after the split change drastically:

# Before
(2, 256, -1, -1)
# After
(81)

Any idea?

Thanks in advance for your help.

[grimoire]

I can open a PR if you want to address this

Sure! that would be cool.

I do not have much idea about the error. Could you provide me with a simple reproduction code?