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Hi @willow-ahrens @hameerabbasi,
This issue is meant to discuss and decide the approach we would like to take in terms of handling scalars.
From existing discussion, when calling a function on a…
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Would love a way to print out `tensor`s, in a similar way to `vector.print`.
Seems like the alternative (relatively simple way) would be to first lower to memref (after talking to @makslevental), …
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Hello everyone,
There is a bug with saving and loading of custom tensors (variables) in TF. It was discovered at https://github.com/GPflow/GPflow/issues/1127. I have created the MWE in colab [here]…
awav updated
18 hours ago
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## Default:
```python
import torch
from torch.utils.data import Dataset, DataLoader
class MyDataset(Dataset):
def __init__(self, data):
self.data = data
def __getitem__(self…
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ModuleNotFoundError: No module named 'torchvision.transforms.functional_tensor'
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### Description
```python
import jax
import jax.numpy as jnp
def f(x):
def cond(carry):
i, x, acc = carry
return i < x.shape[0]
def body(carry):
i, x, acc = carry
r…
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Hello, thanks for sharing the code.
Could you tell us more about how to prepare the input tensor files?
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**NOTE**: Some of these may just be incorrectly registered. In this case update the `@torch_op` decorator call in the corresponding functions to register them correctly. It's usually just correcting t…
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### Describe the bug
I get a wrong tensor size error when trying to run multiple controlnets
### Reproduction
```
import argparse
import os
import random
import cv2
import numpy as np
impor…
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### 🐛 Describe the bug
Calling full_tensor() is giving incorrect tensors here.
I have created a minimal model to test checkpoint saving. I tried using DCP as well but that also gives incorrect ten…