Comments (4)
JanuszL
commented on May 14, 2024
Hi,
We don't have anything available for publishing regarding performance. We plan to provide such numbers soon. You can check preliminary results for DGX-2 mentioned during talk about DALI slides, video. It is definitely on our ToDo list.
Also please keep in mind that DALI alleviates workloads that are CPU bound - multiple GPU or limited number of CPU cores for each GPU. When your CPU can catch up with GPU (simple pipeline or low GPU number comparing to CPU cores) there is no performance benefit from DALI.
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1duo
commented on May 14, 2024
@JanuszL Thanks!
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JanuszL
commented on May 14, 2024
Internally tracked DALI-174.
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JanuszL
commented on May 14, 2024
You can check this results in our last GTC19 presentation.
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Related Issues (20)
- Video Reader sequence start and end HOT 3
- Is it possible to modify the labels according to the random rotation of images? HOT 5
- Create a pytorch dataloader with 2 data sources HOT 5
- Resize on CPU with output shape coming from an external source operator HOT 3
- webdataset error HOT 2
- AWS DALI video_loader error HOT 3
- why multi-gpu training slower than single gpu HOT 1
- How to manage empty items in a batch? HOT 5
- nvidia.dali.fn.python_function() failed with TypeError HOT 5
- Can I install DALI on CPU node without GPU/CUDA HOT 3
- fn.lookup_table giving wrong result for gpu HOT 5
- Need argmax/argmin operator HOT 1
- How to destory a pipeline? HOT 1
- random crop function HOT 10
- cv2.resize(interpolation=cv2.INTER_LINEAR) different with fn.resize(img, antialias=True, subpixel_scale=True, interp_type=types.DALIInterpType.INTERP_LINEAR, resize_y=target_img_height, max_size=max_width) HOT 2
- got error "no CUDA-capable device is detected" even though device parameter is CPU. HOT 6
- Can we add image distortion removal operations HOT 7
- Runtime error using Numpy readers: Unknown Numpy type c8 HOT 4
- Install DALI from source got error "file format not recognized" and "syntax error" HOT 3
- Why Decoder consumes 24 CPU cores even if using "mixed" device HOT 4
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