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Allowing training on MSP device besides CUDA and CPU.
**Motivation**
Since the introduction of PyTorch Nightly, it is now possible to use tell PyTorch to use the embedded GPU of the new M1 chips o…
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I am trying to add a complex dense layer to the deep network
```
def get_deep_convnet(window_size=4096, channels=2, output_size=84):
print"start model"
inputs = Input(shape=(window_size,…
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following the introduction and requirements, Fine-tuning a retrieval mode based on "Luyu/co-condenser-marco", but loading the training data error
`
python -m dense.driver.train --output_dir ./ret…
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If you deploy Model v2 to GCP (as per page 680 .../my_mnist_model/0002/) then parsing of the prediction results fails due to a Key Error, eg:
KeyError: 'dense_2'
This occurs because the output_n…
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I am confuse that the dense depth is generated, why not use it as localnet's input? Does instead the guidance map to global depth prediction will bad to the accuracy?
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Hello, really impressive work! Your dense occupancy label generation pipeline is very enlightening. I notice that SurroundOcc achieves SOTA results on 3d Semantic Occupancy prediction and 3D scene co…
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Just stumbled over something similar as [this old issue](https://github.com/tensorflow/tensorflow/issues/9056). So I created a minimal example to reproduce the effect:
```python
# tensorboard_y_ax…
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Hi everyone!
I trained an inception model with my custom images (dataset of 8.000 images), then saved it.
And when I try to make predictions with it, whatever is the input images to predict, it's th…
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hi,
when I restore your pre_trained model, there raise some mistake
NotFoundError (see above for trackback): Key densenet121/dense_block1/conv_block2/*1/Conv/biases not found in the checkpoint
…