Janusz Lisiecki

1.39 and 1.40 are public. Closing.

Hi @florischabert, Thank you for reaching out. In the case of the mentioned [`random_resized_crop` operator](https://docs.nvidia.com/deeplearning/dali/user-guide/docs/operations/nvidia.dali.fn.random_resized_crop.html), the default interpolation type is `linear`, please use `interp_type` parameter and set it to [`INTERP_NN`](https://docs.nvidia.com/deeplearning/dali/user-guide/docs/data_types.html#nvidia.dali.types.DALIInterpType).

Hi @YJonmo, I think you can try out [the `lookup_table` operator](https://docs.nvidia.com/deeplearning/dali/user-guide/docs/operations/nvidia.dali.fn.lookup_table.html#nvidia.dali.fn.lookup_table): ``` images= fn.lookup_table( images, keys=[0, 25, 100, 220], values=[0, 2, 100, 1], ) ```

!build

> This doesn't do anything that the description advertises. It's just signature of an internal helper function and we moved those arguments from being passed as `kwargs` to being explicitly...

!build

Hi @rachelglenn, Thank you for reaching out. It depends on what exactly you want to achieve. You can pass a different `seed` to each reader, but they are still sampling...

Hi @niebowen666, Thank you for reaching out. The `ld` linker has a search order that looks for libraries to link, and `$CUDA_HOME` doesn't alter that. If you want your compilation...

Hi @rems75, Thank you for reaching out. Now, only `experimental.decoders.video` attempts to decode multiple files in parallel, while other video readers/decoders do it sequentially, using only one nvdec at a...

Hi @rems75, You can try using [NSight System](https://docs.nvidia.com/nsight-systems/UserGuide/index.html#nvidia-video-profiling) and explore its video profiling capabilities.