-
### Python Version
```shell
Python 3.10.12 (main, Mar 22 2024, 16:50:05) [GCC 11.4.0]
```
### Pip Freeze
```shell
absl-py==2.1.0
annotated-types==0.7.0
attrs==23.2.0
docstring_parser=…
-
Hi, Thanks for any suggestions.
The largest resolution that could be used for training is 512 × 512 with ~76G memory cost.
I set the enable_xformers_memory_efficient_attention to True but nothing ch…
-
An FST may drastically improve memory efficiency at the slight cost of search performance (going from O(1) to O(m)), but the reduction in garbage collection may balance it out .
An FST can be used to…
-
```
This is a great MATLAB transportation of Random Forest. Thank you very much.
However, I found the memory allocated to store the RF (for classification)
model is very non-efficient. Specifically,…
-
```
This is a great MATLAB transportation of Random Forest. Thank you very much.
However, I found the memory allocated to store the RF (for classification)
model is very non-efficient. Specifically,…
-
```python
def memory_efficient_attention(
query: torch.Tensor,
key: torch.Tensor,
value: torch.Tensor,
attn_bias: Optional[Union[torch.Tensor, AttentionBias]] = None,
p: floa…
-
Description:
The core algorithm in the project may not be optimized for performance, particularly when dealing with large inputs. This can result in longer execution times and higher resource usage, …
-
Hi @titu1994,
I checked out @joeyearsleys 's [repo](https://github.com/joeyearsley/efficient_densenet_tensorflow) but its limited to densenet-121 architecture, while your's has other architectures su…
-
```
This is a great MATLAB transportation of Random Forest. Thank you very much.
However, I found the memory allocated to store the RF (for classification)
model is very non-efficient. Specifically,…
-
```
This is a great MATLAB transportation of Random Forest. Thank you very much.
However, I found the memory allocated to store the RF (for classification)
model is very non-efficient. Specifically,…