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When I try to use a 4-gpus machine to run the Analytic policy gradients training in parallel, it reports an AssertionError in `brax/training/agents/apg/train.py` line 255. Seems that it is because `t…
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Trying to compute gradients of the `rand` function wrt to parameters for certain distributions will produce incorrect results, because some of these functions use branching or iterated algorithms and …
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WARNING:tensorflow:Gradients do not exist for variables ['batchnorm2d_1/moving_mean:0', 'batchnorm2d_1/moving_var:0', 'batchnorm2d_2/moving_mean:0', 'batchnorm2d_2/moving_var:0', 'batchnorm2d_3/moving…
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Per convo in https://github.com/genshinsim/gcsim/pull/483
Currently we build substat gradients based on avg damage, then we interpret avg dmg gradients as our only consideration for whether any par…
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The epsilon value of 1e-12 used in the following lines for the `first_step` and `sam_train_step` functions is too low and can cause NaN errors with training with mixed precision:
`e_w = gradients[i] …
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In working on #21088, there were cases where code changes needed to be made that were repetitive and could be error-prone. We could probably simplify/merge some of this code.
To modify an operator …
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This puzzles me a bit
```julia
using DistributionsAD, Distributions, Flux
using DistributionsAD: TuringDiagMvNormal
Flux.@functor TuringDiagMvNormal
m = [1.0]
S = [0.1]
f = TuringDiagMvNo…
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## 🐛 Bug
When using DataParallel on a model with LSTMs the losses obtained compared to the same model run on a single GPU are different.
## To Reproduce
Here is a sample code block that seed…
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Hi,
I am getting very large gradients and then, even with clamping, nan gradients (suddenly all of them). I am surprised because I am porting my working program from Python to C++ backends. How to de…
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@pjreddie
Hi,I want to know why update gradients of bbox like the below? Why the scale gradient of bbox is "(2-truth.w*truth.h)" ?
delta_yolo_box(truth, l.output, l.biases, best_n, box_index, i,…