There have been reports of failure to compile on systems with <= 32KB
of shared memory (e.g. #10037). This change makes the large tile size
fall back to a smaller size if necessary, and makes mul_mat_id fall
back to CPU if there's only 16KB of shared memory.
* server : replace behave with pytest
* fix test on windows
* misc
* add more tests
* more tests
* styling
* log less, fix embd test
* added all sequential tests
* fix coding style
* fix save slot test
* add parallel completion test
* fix parallel test
* remove feature files
* update test docs
* no cache_prompt for some tests
* add test_cache_vs_nocache_prompt
* improve inferencing performance for ascend npu.
Co-authored-by: Frank Mai <thxCode@thxcode0824@gmail.com>
* some modification after review
* some modifications after review
* restore some modifications
* restore some modifications
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Co-authored-by: shanshan shen <shanshanshen333@gmail.com>
Co-authored-by: Frank Mai <thxCode@thxcode0824@gmail.com>
The vulkan-shaders-gen was not parsing the --no-clean argument correctly.
Because the previous code was parsing the arguments which have a value only
and the --no-clean argument does not have a value, it was not being parsed
correctly. This commit can now correctly parse arguments that don't have values.
It's like simple-chat but it uses smart pointers to avoid manual
memory cleanups. Less memory leaks in the code now. Avoid printing
multiple dots. Split code into smaller functions. Uses no exception
handling.
Signed-off-by: Eric Curtin <ecurtin@redhat.com>
* llama : accept a list of devices to use to offload a model
* accept `--dev none` to completely disable offloading
* fix dev list with dl backends
* rename env parameter to LLAMA_ARG_DEVICE for consistency
* Add download chat feature to server chat
Add a download feature next to the delete chat feature in the server vue chat interface.
* code style
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Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
This matches the key in common bert-based embedding models and may have a
value other than 1 in it.
Branch: XLMRobertaTypeVocabSize
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* GitHub: ask for more info in issues [no ci]
* refactor issue templates to be component-specific
* more understandable issue description
* add dropdown for llama.cpp module
* CANN Support Ascend310P to accelerate F32 and F16 Model
* Add compile option soc type macro ASCEND_310P to ggml-cann lib
* Remove unused code
* Remove the ascend soc_type hard code compile option in CMakelist.txt
