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I trained a yolo xs model and exported as onnx file.
I created the inference session by following the code below
```python
import onnxruntime as rt
sess = rt.InferenceSession(MODEL_PAT…
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Consolidate matmuls in ttnn
### Plan
We propose to breakdown the work into smaller pieces:
- Replace usage of tt_eager based matmul ops in C++ with ttnn analogs ([example](https://github.com/tenstorr…
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### Proposal to improve performance
_No response_
### Report of performance regression
I load llama3-70b into 4 gpus.
I record the common_computed_block_nums and show its context_lens_tensor. A…
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To integrate data-tiling with multi-device and heterogeneous computing, we need to disable the [early materialization pass](https://github.com/iree-org/iree/blob/ac418d1f45d562bf9e9675bf69606c7d718e24…
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### Run Information
Name | Value
-- | --
Architecture | x64
OS | Mac OS X 10.18
Queue | IPhone
Baseline | [89664341e41eea6803f216426e25dc2a89691eed](https://github.com/dotnet/runtime/commit/896643…
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Hi!
I have built my model using Pytorch Lighntning, thus it has the functions training_step, validation_step etc. I attempted to follow the tutorial here: https://torch-uncertainty.github.io/auto_t…
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```
93 iex(3)> params = NxLinearRegression.FuelEconomy.train(train)↲
94 ** (FunctionClauseError) no function clause matching in…
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Hi,
I'm trying to finetune this for a regression problem with continuous labels. For that, I changed the 'num_labels' to 1 in the model as follows.
```
model = transformers.AutoModelForSequenceC…
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After the Tensor/Variable merge we have a perf regression with indexing a 1-d tensor:
As of 6a2afe3
```python
>>> import torch
>>> x = torch.randn(1000)
>>> %timeit x[0]
435 ns ± 3.34 ns per…
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Right now using something like
```python
estimator = TuckerRegressor(weight_ranks=[5], tol=10e-7, n_iter_max=100, reg_W=1, verbose=0)
estimator.fit(X,y)
```
demands that `X` be of dimensions (nu…