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I have the latest Neuron 2.20 but I'm getting the following error on a dummy model:
My environment
```
python3.9
torch 2.1.2
torch-neuronx 2.1.2.2.3.0
…
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Hi,
I am performing somehow similar benchmark, but on caffenet128 (and moving to ResNets now) on ImageNet.
One thing, that I have found - the best position of BN in non-res net is after ReLU and wit…
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### 🐛 Describe the bug
At main - `python benchmarks/dynamo/timm_models.py --performance --cold-start-latency --inference --bfloat16 --backend inductor --disable-cudagraphs --device cuda --only=pnasne…
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Hi again :)),
Leaky relu activation isn't in SUPPORTED_ACTIVATIONS, but it's not in UNSUPPORTED_ACTIVATIONS as well.
Does DeepExplain support leaky relu or not?
ghost updated
3 years ago
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Hi Dan!
Thanks for sharing your code. I was trying to add ReLU support to DeepLearningToolbox when I found this repository. Would you be so kind to help me with my questions?
1) I'm looking at the ba…
Arech updated
9 years ago
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### Search before asking
- [X] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and [discussions](https://github.com/ultralytics/yolov5/discussions) and found no simi…
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I am working on an implementation of LeakyRelu. I would like some input on how to go about with the implementation of the same. There are 2 options.
1. A separate layer named LeakyRelu, ParamRelu etc…
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I wanna know why you use relu activation in decoder, and will it make neural node dead?
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In the list of possible layers, the simple RELU layer is missing:
https://github.com/lwtnn/lwtnn/blob/master/converters/keras_v2_layer_converters.py#L156
Can it be added?
I noticed that I get d…
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Does torch.export preserve the quantize_per_tensor/dequantize_per_tensor ops? I was testing with
```python
import torch
from torchao.quantization.quant_api import (
quantize_,
int8_dyna…