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I think it would be really useful to allow interoperability with things like Flux, Zygote, etc...
I think much of the benefit of this package would be applicable to other projects if a `SimpleChain…
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In the future users should be able use composable function transforms with LazyTensor to deliver better performance.
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I have implemented the GradCAM algorithm with an SSD model and I was able to generate the heatmap only for few layers. The convolutional layers towards the end of the model produce empty(zero) gradien…
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### Description
This is marked as a [to-do](https://github.com/pymc-devs/pytensor/blob/28f264834244723ae2ac098f79e139450d16cb36/pytensor/gradient.py#L1791) in the code, along with a suggestion of h…
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Why there was needed to define "new" and call it once after defining new.
I think the Tensor data in this case is multiplied to the "other". But why it is different than "add"?
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in the `maml.py` you compute the grad manully and map the grad from higher to the original model. but you only use the `grad[-1]` to the original model. is it works well?
```
if…
FYYFU updated
3 years ago
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I tried this out but get an Error when computing the gradients with the provided function using manually selected checkpoints. I get three different errors at the same time, and am not sure what of my…
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您好,很高兴能阅读到您公开您论文的代码;对于论文中描述得FBP的部分对应的代码是下面decode对吗?
```
def decode(self, sin_fan):
AT, alpha, h, w_c=self.AT,self.alpha,self.h,self.w_c
cos_alpha = tf.math.cos(alpha)
s_fa…
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Hello. Thank you for your great work on loop closure. I'm trying to evaluate contour context with my own data colleted by robosense 16-scans lidar. The follwing parameters should be adjusted. Could yo…
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Hi All,
I've been trying to get per-sample gradients of a simple feed-forward network that contains a `torch.slogdet` as its final layer. When I go to apply `vmap` to `jacrev` the number of argumen…