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Enable CUDA graphs for MoE models + GPT-OSS support (#689)
* gmp-oss: common * gpt-oss: attnetion sinks, swiglu_oai * gpt-oss: WIP llama Model loads and runs (CPU only), but PPL is much to high (~1500 for 1st batch vs ~200 in mainline). Is it because of SWA, because of vocab, or did I introduce a bug somewhere? * gpt-oss: CPU seems to be working It was the SWA thta was missing in the previous commit. There are issues with EOG tokens, so this still needs to be added. * CUDA: ADD_ID Just a copy from mainline * gpt-oss: Seems to be working on CUDA * gpt-oss: add sinks to the attn-vec kernels * CUDA: add head size of 64 to new mma Haven't turned it on yet, but observe slightly better PP and slightly worse TG performance with that. * gpt-oss: add ability to use -fmoe (only CUDA for now) * Move row sums to the write place * Add sinks to iqk flash attention * gpt_oss: Implement -fmoe on the CPU * Simdify swiglu_oai Turning it off for now as performance becomes more variable, so perhaps I'm running into thermal trottling imore often because of making the CPU work too hard. * llama: factor out model loader * Builds successfully * It runs, but mmap does not work * Fix llama_mmap so mmap works * Minor * Fix CUDA after latest changes * Attempt to use CUDA graphs with MoE models - not working * CUDA graphs WIP - still not working * CUDA graphs - seems to be working Likely not all MLA variants are working. I no longer remember why I added the q8_0 cpy that transposes the tensor, but if really needed, this is now missing. Also missing is q6_0. * Make q8_0 cache work for DeepSeek models with CUDA graphs * cuda: cpy for q6_0 * Fix llama_mmap on non-Linux platforms * Adding forgotten file * Iterating on Windows build failures * cuda: re-add q8_0 -> q8_0 transpose so mla = 2 can be used with CUDA graphs and q8_0 cache. * Disable graphs without -fmoe * Minor * Turn graphs on by default --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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@@ -4,9 +4,7 @@
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#include <string>
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#include <vector>
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// TODO: prefix all symbols with "llama_"
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struct codepoint_flags {
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struct unicode_cpt_flags {
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enum {
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UNDEFINED = 0x0001,
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NUMBER = 0x0002, // regex: \p{N}
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@@ -35,7 +33,7 @@ struct codepoint_flags {
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uint16_t is_nfd : 1;
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// decode from uint16
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inline codepoint_flags(const uint16_t flags=0) {
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inline unicode_cpt_flags(const uint16_t flags = 0) {
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*reinterpret_cast<uint16_t*>(this) = flags;
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}
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@@ -50,19 +48,20 @@ struct codepoint_flags {
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size_t unicode_len_utf8(char src);
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std::string unicode_cpt_to_utf8(uint32_t cp);
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uint32_t unicode_cpt_from_utf8(const std::string & utf8, size_t & offset);
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std::string unicode_cpt_to_utf8 (uint32_t cpt);
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uint32_t unicode_cpt_from_utf8(const std::string & utf8, size_t & offset);
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std::vector<uint32_t> unicode_cpts_from_utf8(const std::string & utf8);
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std::vector<uint32_t> unicode_cpts_normalize_nfd(const std::vector<uint32_t> & cpts);
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codepoint_flags unicode_cpt_flags(const uint32_t cp);
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codepoint_flags unicode_cpt_flags(const std::string & utf8);
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unicode_cpt_flags unicode_cpt_flags_from_cpt (uint32_t cpt);
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unicode_cpt_flags unicode_cpt_flags_from_utf8(const std::string & utf8);
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std::string unicode_byte_to_utf8(uint8_t byte);
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uint8_t unicode_utf8_to_byte(const std::string & utf8);
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uint8_t unicode_utf8_to_byte(const std::string & utf8);
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uint32_t unicode_tolower(uint32_t cp);
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uint32_t unicode_tolower(uint32_t cpt);
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bool unicode_cpt_is_han(uint32_t cpt);
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