Comments (4)
Probably an AMD 5700x + 6900x(when it comes out), but if multi gpu training is not coming out until maybe next year.. I'll be forced to buy an nvidia card. And at that point I'll just use regular tensorflow 2.0+ . Sick of Nvidia's stranghold on the market. I'm glad you all re doing this project but ugh... You should get together with AMD and make some sort of arrangement..
from tensorflow-directml.
Hi, sorry for the delay in response. Multi-GPU distributed training is on our backlog for the coming year, but it isn't something that's super well supported at the moment. Though if you're considering a specific multi-GPU configuration, we'd be interested to hear what you have in mind!
from tensorflow-directml.
Honestly its actually the responsibility of google/tensorflow... maybe with this coming lawsuit they will take a look at what other shady anti-competitive things they are doing... Bah maybe i should just swich to pytorch... but i need C# integration.. double bah!
from tensorflow-directml.
@TashaSkyUp Thanks for your interest. We do share the same interest in seeing multi-GPU support become real for this project. This is a matter of how fast we can churn through our current backlog on the more pressing issues e.g. kernel coverage and stability. We do hope that by the time we get to look closely into supporting this, there will be someone like yourself whom we can bounce our ideas with. So stick with us, we're getting there soon.
from tensorflow-directml.
Related Issues (20)
- Not able to use my own callbacks HOT 3
- Tensorflow-directml is not making any difference in processing times in GPU vs CPU HOT 1
- AMD APU support? HOT 2
- Cannot assign a device for operation embedding/embeddings/Initializer/random_uniform/ HOT 5
- directml on custom tensoflow build ? HOT 1
- Windows Camera post process(DMFT) with DirectML(Tensorflow) HOT 10
- It's not working on Intel Graphics 5500 HOT 1
- Use c api to load pb models HOT 1
- how to set the default device using cAPI?
- session run crashed when runing on nvidia gpu HOT 1
- Could not identify NUMA node of platform GPU ID 0, defaulting to 0. Your kernel may not have been built with NUMA support. HOT 2
- unbox expects Dml at::Tensor as inputs HOT 1
- Is it not supports the amd gpus without rocm?
- Does directml support multi-GPU training
- TensorFlow-DirectML Does Not Exist HOT 7
- AttributeError: module 'tensorflow' has no attribute 'float32' HOT 1
- CPU instructions notification after installing
- python newer versions support
- tensorflow GPU on WSL2 produces a segmentationfault
- RC astro tool operations not supported in DirectML HOT 1
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