-
```python
@partial(jax.jit, donate_argnums=0, static_argnums=1)
def reshape(a, ord):
return jax.numpy.reshape(a, ord)
d = 100
v = jax.numpy.zeros((d * d, d * d))
v = reshape(v, (d, d, d, …
-
This list shows that `aten.view` ops are not converted yet.
https://github.com/tenstorrent/pytorch2.0_ttnn/blob/5109168a27bcff95d650d3828e9ce253659dd6e1/docs/cumulative_input_variations.md?plain=1#L1…
-
I am trying to download EM data from [this website](https://neurodata.io/data/bumbarger13/).
```python
import numpy as np
import tifffile
from cloudvolume import CloudVolume
vol = CloudVolume("s3…
-
Hi,
I am running with HRES data.
1. ai-models --retrieve-requests graphcast
Shows which request to use to download operational stream. This is successful, but downloads 2 files.
2. Run the model…
-
Consider the following example:
```julia
xmat = randn(5,5)
xvec = reshape(xmat, 25)
push!(xvec, 3)
xvec[1] = 0.0
xmat[1] # not zero
```
Here `push!` has decoupled `xmat` and `xvec`, though…
-
I have successfully trained a fasterrcnn_mobilenetv3_large_fpn and can make inferences on it using python.
I get no errors when converting the model to onnx using export.py -
`python export.py --…
-
**Describe the issue**
It is unclear how to support next inputs in `ttnn.reshape`.
We understand the underlying issue and need an input on how to convert from exact torch ops.
```
[1, 256, 1024]…
-
```
@404 = gpu::code_object[code_object=6464,symbol_name=mlir_convolution_add,global=102400,local=256,](@402,@293,@400,@403) -> half_type, {1, 255, 80, 80}, {1632000, 6400, 80, 1}, target_id=0: 0.022…
-
The error is different for different types.
### Integer array
```fortran
program main
print *, reshape([1, 2, 3, 4], [2, 2])
end program
```
```console
(base) saurabh-kumar@Awadh:~/Projec…
-
Would it make sense for `°↯` to behave like `△.`? It seems like it would be in line with `°√` already behaving like `×.`.
(By the way, I'm loving the work on making more of the language invertible.…
bkDJ updated
5 months ago