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|Previous ID | SR-8690 |
|Radar | rdar://problem/55600696 |
|Original Repor…
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I'm curious if your visions include making it a feature-complete NN training framework?
What will be the master plan? Integrating with Torch/TF/MXNet or build hardware-level compilation framework f…
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I'll post information about performance investigations here.
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### 🐛 Describe the bug
When using `mps` device, BERT finetuning on MRPC task leads to bad performance metrics in comparison to CPU training. Also, speedup is only ~30% when compared to CPU training…
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### 🐛 Describe the bug
Using MPS for BERT inference appears to produce about a 2x slowdown compared to the CPU. Here is code to reproduce the issue:
```python
# MPS Version
from transformers i…
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The main reason I made the overhauls present in Swift-Colab 2.0 was so that in the future, I could run S4TF code without facing bottlenecks that make it virtually unusable. However, I am unable to com…
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Very happy to see this ported to Metal. Now that I've given up on S4TF, it would be interesting to learn of a Swift framework (s4nnc) that runs deep learning on Metal. Regardless, I'll probably use MP…
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Swift For TensorFlow (S4TF) notebooks can be run at Colab.
Would be great to run S4TF notebooks in kernels platform! Thank you!
https://colab.research.google.com/github/tensorflow/swift/blob/mas…
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Hello, using the following code on Ubuntu 18.04:
```
public struct MLP: Layer {
public typealias Input = Tensor
public typealias Output = Tensor
var denseLayers = [Dense]()
…
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|Previous ID | SR-8480 |
|Radar | None |
|Original Reporter | @rxwei |…