-
```fortran
(lf) ubaid@DESKTOP-TEN39M0:~/projects/lfortran$ cat examples/expr2.f90
program main
integer, parameter :: matrix(2, 1) = reshape([ 1, 2, 3], [2, 1])
print *, matrix
end program
`…
-
Feature gate: `#![feature(mem_reshape)]`
This is a tracking issue for `core::mem::reshape`.
`core::mem::reshape` allows modifying a mutable reference with its moved underlying value.
### Public A…
-
### 🚀 The feature, motivation and pitch
We have many tensors with large shape, but several stride=0 dimensions, i.e. expanded/broadcasted dimensions.
If a reshape that cannot be done as a view is …
-
**Describe the bug**
Need ttnn support for 6D reshape, used in swin_s model
**To Reproduce**
Steps to reproduce the behavior:
1. Run the below code snippet
```
import torch
import ttnn
impor…
-
**Describe the bug**
```
tt_input = tt_input.reshape(1, 2048, 4, 128)
tt_output= ttnn.transpose(tt_input, 1, 2)
```
gives 0.0 PCC compared to Torch:
```
torch_ref = torch_input.view(1, 204…
-
See https://github.com/mui/mui-x/pull/13757#discussion_r1685701992
TODO:
- Use `Set` instead of array
- Change the model signature to support either inclusion or exclusion model
```ts
{ included:…
-
We need the following functionalities in order to score TensorFlow models:
1. Change the ColumnType of the column to be a different shape – this would not do anything to the data, it would just cha…
-
**Description**
I have specified [-1, 1024] as the output dimensions for my ensemble model, but the output is still reshaped to [1024].
**Triton Information**
NVIDIA Release 24.03 (build 86102629…
-
**Describe the bug**
```
import torch
import ttnn
torch.set_printoptions(precision=10)
with ttnn.manage_device(device_id=0) as device:
x_torch = torch.randn((128, 1, 1, 128), dtype=torch.float32…
-
**Describe the bug**
When calling `ttnn.reshape` for certain input and output sizes, the output values are different depending on whether the input was tilized or row major.
**To Reproduce**
```
im…