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### 🐛 Describe the bug
```
import torch
import torch.nn as nn
class Model(nn.Module):
def __init__(self):
super().__init__()
self.attn = nn.MultiheadAttention(embed_di…
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# URL
- https://arxiv.org/pdf/2411.04330
# Authors
- Tanishq Kumar
- Zachary Ankner
- Benjamin F. Spector
- Blake Bordelon
- Niklas Muennighoff
- Mansheej Paul
- Cengiz Pehlevan
- Chri…
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Hello, I have a MobileNetV2 That I am trying to use for image classification by means of transfer learning, although apparently seems to not work. Initially, I perform transfer learning on my model a…
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The [toturial](https://pytorchvideo.org/docs/tutorial_accelerator_build_your_model) shows how to build an efficient network with modules provided by "pytorchvideo.layers.accelerator" and how to conver…
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I am trying to quantize a custom yolov5 model using quantization aware training method. I have applied all the model adjustments as provided in the vitis ai user guide v3.0 and wrote the QAT code base…
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**For faster response**
You can @ the corresponding developers for your issue. Here is the division:
| Features | Developers …
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**Is your feature request related to a problem? Please describe.**
We are assessing the quality and performance impacts of utilizing FP8 with Meta-Llama-3-70B and multiple LORA adapters. We use a hi…
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**Describe the bug**
I'm doing transfer learning and would like to (at the end) quantize my model. The problem is that when I try to use the _quantize_model()_ function (which is used successfully in…
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Hi,
I see that TF version 1's QAT library uses **zero_debias** as True. However, the TFMOT's quantization library calls the following in the quant_ops.py:
_assign_min = moving_averages.assign_mov…
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**System information**
- TensorFlow version (you are using): tensorflow-2.3.0
- Are you willing to contribute it (Yes/No):No
RuntimeError: Layer tf_op_layer_ResizeNearestNeighbor: is not suppor…