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I get the following warnings and errors. Sorry if hard to parse/read.
> WARNING:tensorflow:Gradients do not exist for variables ['attention_lstm/kernel:0', 'attention_lstm/recurrent_kernel:0', 'att…
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**Description**
A clear and concise description of what the bug is.
I am following the tutorial online: https://github.com/NVIDIA-Merlin/Transformers4Rec/blob/stable/examples/getting-started-sessi…
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This is a big one
The only reason we use BLAS is that we don't have efficient implementation of `matrix x matrix` multiplication. Naively doing parallel dot products is not optimal. We need to impl…
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Hi,
as you know I have been experimenting with amp for a while now. Today I stumbled upon very unexpected behavior. My FP16 models (trained with amp) do just as well than the FP32 models by themselve…
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Hi Gunnar,
I've gone thru your charades repo and able to run RGB & Flow validation to recognize top 5 activities.
Now I've moved to temporal fields repo and wish to identify the start and end of…
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**Describe the bug**
I have an Image classification model that was trained using Microsoft CustomVision and exported as an ONNX model. I am able to run inferencing using this model with an average in…
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The "Modeling XOR with a neural network" example don't work.
The loss increases until it become `NaN`
[modeling_xor_with_a_neural_network.livemd.zip](https://github.com/user-attachments/files/16…
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The article mentions that "where they randomly chose 5 ground-truth sentences per video. We use the same setting when we compare with that approach".Does the training set, validation set and test set …
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Currently, mixed precision is implemented but is disabled because training is unstable (exploding gradients).
The source of this instability should be investigated and fixed
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I compiled yolo with GPU, CUDA, and opencv on.
It compiles correctly. it runs on the sample images like dog.jpg etc as described in wiki. However, I am not getting any predictions!
My output:
Cas…