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Are there any plans to make this compatible with Pytorch 0.4 or after. Thanks !
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### 🚀 The feature, motivation and pitch
**Feature motivation:**
[Default pyTorch quantization aware training](https://pytorch.org/docs/stable/quantization.html) uses "fake-quantization" approach. Fo…
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**Describe the bug**
TTNN Matmul op does not work when the 3rd dimension of input_tensor_b isn't 1, hence the broadcast version of Matmul isn't executed. According to the [public documentation](https…
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Hello,
I am trying to take this [pre-trained RNN-T model saved as h5](https://drive.google.com/drive/folders/1rYpiYF0F9JIsAKN2DCFFtEdfNzVbBLHe) and convert it to tflite.
I have installed the req…
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## 🐛 Describe the bug
There is a bug in PyTorch where data on CPUs is not automatically synchronized before subsequent operations when using the `torch.Tensor.to()` method with `non_blocking=True`.…
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For getting reasonable performance on current code-generation paths, einsum-like operations need to be converted into a named matmul-like operations.
- https://github.com/openxla/iree/pull/13468 r…
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Hey Lessthanoptimal,
I've been looking at a benchmark, EJML is the second fastest library. Is it time to do another full benchmark? Maybe you should include ND4J.
Merry Christmas.
https://a…
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### 🚀 The feature, motivation and pitch
Today, to write an OpInfo test to check that a subsystem (let's say vmap) works on all operations, we write something like the following:
```
@ops(op_db)
de…
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# Failing Tests
> Please see the failing tests divided into sections below. Click on each section to expand. Feel free to get assigned to an issue by following the instructions [here](https://unify.ai…
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1. Generate a dictionary where the values are numpy arrays.
2. Load this into a Data object with Data.from_dict.
Ostensibly, we now have a valid data object. But none of the subsequent operations …