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In the `Assistant` class after the query graph is complete we log the thoughts. We should log this while it runs.
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I am getting the error below right after starting the training.
```
[2024-09-14 18:24:18] [INFO] RuntimeError: cuDNN Frontend error: [cudnn_frontend] Error: No execution plans support the graph.
…
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While transitioning from polling to web socket, the granularity of execution updates was significantly reduced from "updating on each produced output from node" to "updating on each node execution com…
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Hi @VHellendoorn,
I'm trying to run the commands on colab, but training command gives Graph execution error. I have installed requirements and correctly placed data_dir path. Can you ple…
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# Improve Scalability and Efficiency with Graph Optimization and Streaming Support
## Issue Description
The current implementation of Indexify's Python SDK may face challenges with very large gr…
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Hello,
I am trying to run a model and getting this error where Tensorflow is trying to use the CUDA-based CudnnRNN operation, which is not available because I'm running TensorFlow with DirectML, no…
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```
import json
from pydantic import BaseModel
from scrapegraphai.graphs import SmartScraperGraph
# Define the configuration for the scraping pipeline
graph_config = {
"llm": {
…
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While trying to run the following code on tpu-vm, it didn't work.
```python
tf: 2.15
keras: 3.0.5
tpu = tf.distribute.cluster_resolver.TPUClusterResolver(tpu="local")
strategy = tf.distribute…
innat updated
7 months ago
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### Describe the issue
I am trying to generate a training graph by specifying the model path directly. It works correctly on CUDA (12.4) but when I run the same on Windows 11, I get an error as th…
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### Bug Description
When I submit the request to on server. I got the response from **API Error running graph: list index out of range**.
### Reproduction
Attached the screenshot.
### Expected b…