Comments (1)
Hello @ioangatop !
Yes, aarch64 is on our priority list, however we need to correlate it with Triton's support. So far I believe you should be able to build DALI Backend together with Triton for ARM, but to be honest we didn't test it. Did you have any particular problems using DALI Backend on aarch64?
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Related Issues (20)
- 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
- Unable to load numpy module in a DALI backend HOT 3
- DALI pipeline in Triton - formatting InferInput batch of images for UINT8 HOT 3
- 'NoneType' object has no attribute 'loader' when trying to load DALI model. HOT 11
- How to format client code for inception example HOT 14
- How to get list of image paths into dali pipeline? HOT 4
- How to use scalar inputs HOT 3
- Video Input larger than max
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