Nicolas Patry 0c9b6cdd76 Choosing input/total tokens automatically based on available VRAM? (#2673) ... * Choosing input/total tokens automatically based on available VRAM? * Update doc. * Remove generated files. * Trying to fix non chunking targets. * Attempt #2 * fix. * QuantLinear is rocm compatible. * Much simpler logic after the overhead. * Updating logic + non flash. * Revert doc text. * Simple updates. * Fix integration mt0 (transformers update).		2024-10-28 04:59:49 +01:00
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custom_modeling	Add support for FP8 KV cache scales (#2628)	2024-10-24 16:36:18 +02:00
__init__.py	Switch from fbgemm-gpu w8a8 scaled matmul to vLLM/marlin-kernels (#2688)	2024-10-25 16:40:47 +02:00
bloom.py	Refactor dead code - Removing all `flash_xxx.py` files. (#2166)	2024-07-05 10:29:56 +02:00
causal_lm.py	feat: prefill chunking (#2600)	2024-10-16 12:49:33 +02:00
flash_causal_lm.py	Choosing input/total tokens automatically based on available VRAM? (#2673)	2024-10-28 04:59:49 +01:00
galactica.py	feat: add ruff and resolve issue (#2262)	2024-07-26 10:29:09 -04:00
globals.py	feat: prefill chunking (#2600)	2024-10-16 12:49:33 +02:00
idefics_causal_lm.py	feat: prefill chunking (#2600)	2024-10-16 12:49:33 +02:00
mamba.py	Choosing input/total tokens automatically based on available VRAM? (#2673)	2024-10-28 04:59:49 +01:00
metadata_kernels.py	feat: add triton kernels to decrease latency of large batches (#2687)	2024-10-25 21:10:00 +00:00
mllama_causal_lm.py	feat: add triton kernels to decrease latency of large batches (#2687)	2024-10-25 21:10:00 +00:00
model.py	Choosing input/total tokens automatically based on available VRAM? (#2673)	2024-10-28 04:59:49 +01:00
pali_gemma.py	feat: add ruff and resolve issue (#2262)	2024-07-26 10:29:09 -04:00
seq2seq_lm.py	feat: prefill chunking (#2600)	2024-10-16 12:49:33 +02:00
types.py	feat: prefill chunking (#2600)	2024-10-16 12:49:33 +02:00
vlm_causal_lm.py	feat: add triton kernels to decrease latency of large batches (#2687)	2024-10-25 21:10:00 +00:00