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I'm having issues in transferring models with batchnorm layers from pytorch to keras. Other way round works perfectly fine. Any thoughts? Appreciate the help!
Here are the two architectures I am te…
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When I set the `activate='relu'` in `CSPDarknet53.py, line 35`, I met the following RuntimeError.
(NV A100, CUDA 11.4, PyTorch 1.10.1) (in other server with different version is ok)
```
Traceback (…
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```
# RNN_convLSTM structure
def RNN_convLSTM(x ):
#(1,19,64,64,1) #num_filter, kernei_size
x = tf.contrib.slim.conv2d(x, 1, 1, padding='SAME',activation_fn=tf.nn.relu)
x = tf.…
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37페이지
케라스 레이어 추가 중
model.add(Dense(1, **activatiown**='relu'))
오타 났네요
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Since we do not handle racing conditions. nvfuser's behavior of inplace update could be affected by segmentation result. A small example would be in below, if we force a segment with `segment_set`, th…
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In keras, I naively tried unpacking arguments with `!!!` like this, which resulted in an error:
```r
initializers
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Since, I have observed some practitioners reporting issues regarding the slow training with Mish or it's high memory consumption, here is a curated list having Mish implementations which are significa…
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I have encountered a problem which can be reproduced by the following minimal code:
```python
import torch
from spconv.pytorch import SparseConv2d, SparseConvTensor, SparseReLU
from spconv.pytor…
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The CAE class uses the relu nonlinearity. https://github.com/avijit9/Contractive_Autoencoder_in_Pytorch/blob/master/CAE_pytorch.py#L61
However, the way the CAE loss is computed is only valid for si…
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Hi, I want to change the **SoftmaxWithLoss** layer for a **SigmoidCrossEntropyLoss** layer. I understand that SigmoidCrossEntropy doesn't accept a mask with multiple labels (e.g. 0, 1, 2 ...) but only…