Comments (1)
Hi @akash2826 !
I see two problems here.
First of all, for some reason your system can't see ppa:deadsnakes
repository. This issue is not related to dali_backend
code. Probably you are behind some kind of proxy, which forbids you from accessing this recourse. This stackoverflow question briefly describes the problem. Therefore, there's not much we can help you with the Cannot add PPA: 'ppa:~deadsnakes/ubuntu/ppa'. ERROR: '~deadsnakes' user or team does not exist.
error
Second issue, which you will face as soon as you resolve the proxy problem is how you download the code. dali_backend
has some submodules inside, which are required for building, so you need to clone the repo recursively (instead of just downloading the zip). Please use git clone --recursive
. The instructions show, how to build dali_backend
properly.
from dali_backend.
Related Issues (20)
- Memory increase when decoding exception occurs HOT 2
- dali backend device parameter setting question HOT 1
- layout parameter to external_source causes assert error HOT 2
- DALI backend not releasing device memory HOT 8
- How to provide mean & stddev to dali.fn.normalize HOT 3
- Error when executing Mixed operator decoders__Image when sending image binary to dali in triton HOT 9
- how to use the numpy data in the DALI HOT 3
- Batching does not improve performance with dali HOT 10
- Can dali backend support default values or optional input? HOT 2
- Unexpected large memory needed for gpu resize HOT 4
- Error in thread 31: nvJPEG error (5): The user-provided allocator functions, for either memory allocation or for releasing the memory, returned a non-zero code. HOT 6
- Cannot compile dali_backend with older version of triton HOT 2
- how to provide batch input data for dali pipeline whicn input shapes [-1] HOT 1
- if I want to crop from different start point, how can I build pipe to do this? HOT 2
- Test issue
- Connecting InputOperator with no explicit inputs to Triton HOT 12
- Could not serialize dali.fn.python_function HOT 1
- when using crop_mirror_normalize func, Output layout "CHW" is slower than "HWC" HOT 5
- dlopen libcuda.so failed!. Please install GPU dirverTraceback (most recent call last): HOT 4
- Prefeed multiple input batches to the inference pipeline HOT 7
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from dali_backend.