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MWE:
```python
coord_element = VectorElement("Lagrange", interval, 1)
mesh = Mesh(coord_element)
element = FiniteElement("Lagrange", interval, 1)
V = FunctionSpace(mesh, element)
u = TrialFu…
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### What happened?
When compiling CLIP Text Encoder 1 ([stable_diffusion_xl_base_1_0_64_fp16_clip_1.mlir](https://storage.googleapis.com/shark-public/ean/sdxl-turbine/stable_diffusion_xl_base_1_0_64_…
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### Description
Hi!
Dense SVDs using CuPy can use the QR decomposition or the Jacobi algorithms. However, a newer algorithm using polar decomposition taking advantage on massively parallel system …
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The `contract` function, at least for the case of Dense tensors, currently only succeeds when the labels arguments obey certain conventions, as shown in the example code below. It would be good to gen…
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According to the original paper by [Kim et al.](http://proceedings.mlr.press/v80/kim18b/kim18b.pdf), the permutation function permutes across the batch for each dimension. In the case here, if `B, D =…
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## Issue description
Transpose operation is a non-view operation for non-strided tensors (see [COO transpose implementation](https://github.com/pytorch/pytorch/blob/c50c77b444812d6f28bb7a9071ca0eb6…
pearu updated
2 years ago
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## Motivation
Current linalg dialect only supports fixed input/output shapes for structured named matmul ops, if we want to define different packings for matmul op in existing framework, we have to…
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First of all, Thank you for sharing the code base of this interesting work!
I encountered an issue while trying to run the following command `python mm-shap_albef_dataset.py 3 "refcoco" "yes"`.
…
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I think there is an issue in the way the input tensor `x` is reshaped in order to extract `a_in` and `p_in`.
It seems to me that the dimensions of `a_in` and `p_in` require a permutation before apply…
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# Feature
## Desired Behavior / Functionality
Setting default device of torch to TPU should work, but it hangs
## How Can It Be Tested
I have a not totally minimal example, which can be tested i…
dsmic updated
11 months ago