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Hi, excellent work! A question here:
I noticed that in `svd_interpolate_single_img_traj.py: 1082`, the mask is **directly reshaped** from (576, 1024) to (72, 8, 128, 8) and then to (72,128,64) :
``…
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Currently, `reshape(::StrideArray)` gives a `ReshapedArray`. It'd be nice if we could do something similar to how `view` was handled.
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DeepLearning/XDFM/xdeepfm.py 第66行
`hid_next = tf.reshape(split_conv,[-1,xdeep_layers[i],embed_dim]) ## (?,1,13) -> (?,13,8)
`
个人觉得应改为
```
tmp = tf.reshape(split_conv,[-1,embed…
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Hi,
I am running with HRES data.
1. ai-models --retrieve-requests graphcast
Shows which request to use to download operational stream. This is successful, but downloads 2 files.
2. Run the model…
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Hi @patrickbryant1
I am trying to run SpeedPPI for two fasta files. Fasta1 contains a single protein, whereas fasta2 contain 2000 proteins sequences. So I decided to use some.vs.some script. Howev…
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Hi,
I just tested this and it works great!
Nevertheless, I only got it working in .R documents (R Scripts) and not in .Rmd (R Markdown).
Am I doing something wrong or is this not implemented (…
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Support for Keras Reshape layer:
- handling of plot_top_connections_backward/forward
- handling of activation maps
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The GLSL shader for `Tensor.reshape` is very complex. It also currently accounts for ~15% of the execution time of the NN demo.
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## Summary
To confirm that each op individually works for the Llama model, let's add a set of op tests that are specific to this variation of the Llama model.
To do so, here are a few hints:
1. …
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File "\Fair-MARL-main\marl_fair_assign.py", line 38, in solve_fair_assignment
x = np.array(pe.value(m.x[:,:])).reshape((n,nj)).astype(int)
TypeError: int() argument must be a string, a bytes-lik…