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Currently, the Conversation Memory Class can store an arbitrary number of strings with no maximum length limitation.
However, the language model has a fixed prompt length.
Feature Requirements:…
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**🚀 Feature**
I noticed the usage of nnfusion requires to compile the model with a fixed input size.
For example, I have to determine the batch and sequence length in the best model compilation proc…
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**Is your feature request related to a problem? Please describe.**
Yes, I was hoping to remove the overhead of having to prefix a length to an array of bytes that I know is of a fixed length ahead …
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Lexical version: 0.7.6
## Steps To Reproduce
1. Open Lexical Playground with the "Max Length" setting on: https://playground.lexical.dev/?isMaxLength=true
2. Clear the editor
3. Paste some…
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**Is your feature request related to a problem? Please describe.**
Update [GeneratedInternalRowToCudfRowIterator](https://github.com/NVIDIA/spark-rapids/blob/67c34e2b40ec196b12d83667aadd85ba9d45c8b6/…
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**Create the implementation following this example storage procedure:**
**Cycle 1:**
Store header_1
Store payloads_1
(pointer_unread_addr->header_1, pointer_unread_length->[size_of(header_1+payl…
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I know this project is more likely than not defunct now, however this is a problem that should be fixed for later projects if possible.
Shader compilation can fail depending on your drivers... well, …
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The system headers is a known, limited set of headers and I think we should simply show them all. This will allow us to
- Give them a fixed and logical order
- Give them individual treatment:
- The …
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Hey guys i am trying to use the model to train on the images with variable length size.As you know this data set is a fixed length size and there is no problem with running the model but when it comes…
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Hi,
I only wanted to generate one simulated replicate however I was encountering issues with this because it would return the error: 'Object basemeans not found'. I notice that in the simulate_exp…