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File "train.py", line 206, in
train_loop(config, model, noise_scheduler, optimizer, train_dataloader)
File "train.py", line 131, in train_loop
noisy_latents = noise_scheduler.add_noise(…
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Hey, I saw @chengxin was implementing GPU support. Looks fast! We might want to consider using [CuPy](https://github.com/cupy/cupy) - it's a Numpy compatible library for CUDA. One nice thing about CuP…
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Sorry but I can't find the implementation code of the noise input using SRM filter?
I write one using pytorch but the output seem different from paper, here's the code.
```
import torch
from t…
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**Describe the bug**
Trying to fit a pipeline including a `KalmanFilterTransformerFP`, `TSInterpolator` and an `FCNRegressor` with panel x data and a 1D numpy Array for y data produces an error.
*…
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High, This job was very enlightening to me, but I encountered problems when trying to reproduce your code.
When I run `bash demo_predict.sh`, The result of the program output is noise. How to solve …
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Here is a minimal example:
```
from comfy_script.runtime.real import *
load()
from comfy_script.runtime.real.nodes import *
import comfy.model_management
from comfy.model_management import xfo…
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I have created [fork](https://github.com/marcinmatys/whisper_streaming/blob/main/README2.md) of whisper_streaming , so I took the liberty of writing about it here.
We may close this issue soon as it…
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import pennylane as qml
from pennylane import numpy as np
# Import the PennyLane Qiskit plugin
dev = qml.device('qiskit.aer', wires=2)
# Define a PennyLane QNode
@qml.qnode(dev)
def circuit(…
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Numba support decrease the computation time up to nearly 5 times. No much changes are required
```
import numpy as np
from numba import njit
@njit
def interpolant(t: np.ndarray):
return t*…
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Hi,
Can you help me debug why this SDE would throw errors for SRK solvers, but works and integrates fine with ERK and Milstein?
Here is a simplified version of the code:
```python
import os
impo…