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@naibaf7 @bhack
I open this ticket in order to discuss ideas for integration libdnn to tiny-cnn.
Currently, I implemented a small interface to get native OpenCL context from tiny-cnn:
https://github…
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https://stackoverflow.com/questions/tagged/tensorflow
If you open a GitHub issue, here is our policy:
1. It must be a bug, a feature request,…
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## Observed Behavior
If one enables buffer dumps for multiple (may be all) buffers, the dumps occupy large space, running into several giga bytes. The need for such a large disk space can rule out …
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### Context
Neural networks are graphs consisting of nodes called operators. Each operator corresponds to a mathematical function, usually described in framework's documentation or an AI standard, …
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- We have executed the LLaMA model (downloaded from HuggingFace[https://huggingface.co/meta-llama/Llama-2-7b-chat-hf]) using the NNTrainer and obtained the following output by following these steps…
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Here's an idea on how we can speed up some OpenCL formats when working with multiple salts:
`crypt_all` is passed a pointer to the current salt in the database. It can also access `salt->next->salt…
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I notice that in 6b9f850a1654e2d176eb3e59a51a275c9f224ab7 we got:
```diff
-#define MAX_KEYS_PER_CRYPT 1
+#define MAX_KEYS_PER_CRYPT 2
-#define OMP_SCALE 16
+#define O…
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```
Using device: ocl:0
Accessing device #0:PowerVR B-Series BXM-4-64 on PowerVR
Traceback (most recent call last):
File "/home/sipeed/Desktop/pytorch_dlprim/mnist.py", line 163, in
main()…
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greetings @edanor
Please consider implementation of benchmark test of non-vector code vs fully optimized code for k1om.
k1om is flooding market, we need to see (in seconds) how this library rocks! …
ghost updated
6 years ago
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We finally integrated m2s into QEMU, however, many benchmarks can not be executed successfully.
I got some 64 bits instructions in my kernel for unknown reasons. Ex: BUFFER_LOAD_FORMAT_D16_X, etc.
Is …