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### Your current environment
```text
The output of `python collect_env.py`
PyTorch version: 2.3.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
…
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I'm facing issues when using this repo with **TF 1.4.1 and Keras 2.0.8.**
In order to make the training phase work I have to change :
- `K.int_shape(x) to K.shape(x)` line 967 in `model.py
- `los…
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I wonder how can I feed the Keras model with output=tfq.layers.Sample(). I got the following error. I also tried to convert ragged tensor to normal tensor, but I didn't work
```python3
def _gen_si…
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I have encountered a problem while implementing a single neuron network. I have declared two models. This one, using only PyTorch functionalities, works:
```Python
class NN(nn.Module):
def _…
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It would be great if this new MAE-style method called SparK was introduced to lightly.
Paper: https://arxiv.org/abs/2301.03580 featured in ICLR'23 Spotlight
Code: https://github.com/keyu-tian/Spar…
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I am going to use TensorRT to accelerate my inference step.
For many issues, like the input data is a dict, it cannot be converted to ONNX.
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I would like to turn an existing convolutional neural network (ResNet) into a sparse model. This model contains `torch.nn.Conv2d` but not `torch.nn.Linear`. Does `sten` support this operation?
I ch…
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I am trying to train the neural network model for Task2A (i.e., emoji prediction in English), from SemEval2018. However, when I run the file neural_experiment.py, located in model/task2/, I get the fo…
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Thank you for the awesome work!
I am trying to build a network that fuse 2D and 3D feature extracted by UNet and MInkowskiUNet.
I know the mapping between input 2D image (pixels coords) and 3D v…
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So far I've got `edge_index`, `edge_weight`,
How do I go about converting these two vectors into the `adj` . It has the dimensions (number of nodes, number of nodes).