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### 🐛 Describe the bug
Detection models (ssd, retinanet, RCNN-s) from torchvision don't work with onnx and tensorrt backends.
```
model = maskrcnn_resnet50_fpn_v2()
device = torch.device('cuda'…
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Hi! I need to concatenate samples from these two methods into one tensor, so that I can sample from a continuous distribution using reparameterization, and sample from a discrete distribution using Un…
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### Context
After some talks at ICML and NeurIPS during one of the workshops we co-organize with @wbailer, we figured out that Horovod would potentially be a very interesting framework to facilitat…
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## Info
- [ACM article From Alibaba (2023)](https://doi.org/10.1145/3617327)
## Abstraction
- **Dynamic tensor shape**
- Unlike Image processing, language models such as LLM need to handle dyn…
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Some models accept tensors whose items are `bytes`. In order to add these to `enum tensor-type`, we need to figure out how to represent these `bytes` items as tensor data, which is currently a `u8` ar…
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## General Question
## 流式语音识别服务启动和被调用时报错(启动:[nltk_data] Error loading averaged_perceptron_tagger:
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I'm trying to understand how use this library(to my project) and now try to compute params.
``` rust
use fsrs::{DEFAULT_PARAMETERS, FSRS};
fn main() {
let fsrs = FSRS::new(Some(&DEFAULT_PARA…
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## Motivation
I'm trying to create an RL agent which works with graph data structures. but when I pass the torch_geomteric `Data` object to `TensorDict`, It says
```
we only supports tensorcla…
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A minimal example is the following:
```python
import numpy as np
import tensorflow_probability as tfp
tfd = tfp.distributions
tfk = tfp.math.psd_kernels
index_points = np.array([1., 2, 3])[:, …
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Suppose I need to do downsampling in each batch during training. Since I can't create all batches before start training I created an input function like this:
```
downsampling_input_fn %
sa…