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args: refactor mlock/mmap/directio into load-mode (#20834)
* args: overhaul mmap/mlock/dio into single arg Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * docs: update docs with llama-gen-docs Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * chore: satisfy code quality Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * args: make the `+` sign an actual modifier now Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * chore: general code clean up + comments Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * arg: fix deprecated flags support Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * arg: quick sanity check Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * bench: sync llama-bench argument parsing Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * fix: bugfix variable behaviour + llama-bench lm column size Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * arg: inverse commands should do the opposite instead of doing nothing Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * bench: fix incorrect dash Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * bench: fix missing modifiers for deprecated flags Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * llama: switch back to thread_local Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * arg: switch back to single enum Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * docs: update arg docs Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * chore: fix missing `mlock` from llama_load_mode_from_str + cleanup llama-bench Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * llama: fix mlock not activating Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * arg: add deprecation warning when old and new flags are combined Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * arg: cont add comment for todo in the future Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * docs: sync with upstream Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> * docs: re-sync with upstream again Signed-off-by: Aaron Teo <aaron.teo1@ibm.com> --------- Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
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@@ -28,7 +28,7 @@ LLAMA_BENCH_DB_FIELDS = [
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"model_type", "model_size", "model_n_params", "n_batch", "n_ubatch", "n_threads",
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"cpu_mask", "cpu_strict", "poll", "type_k", "type_v", "n_gpu_layers",
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"split_mode", "main_gpu", "no_kv_offload", "flash_attn", "tensor_split", "tensor_buft_overrides",
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"use_mmap", "embeddings", "no_op_offload", "n_prompt", "n_gen", "n_depth",
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"load_mode", "embeddings", "no_op_offload", "n_prompt", "n_gen", "n_depth",
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"test_time", "avg_ns", "stddev_ns", "avg_ts", "stddev_ts", "n_cpu_moe",
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"fit_target", "fit_min_ctx"
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]
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@@ -38,7 +38,7 @@ LLAMA_BENCH_DB_TYPES = [
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"TEXT", "INTEGER", "INTEGER", "INTEGER", "INTEGER", "INTEGER",
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"TEXT", "INTEGER", "INTEGER", "TEXT", "TEXT", "INTEGER",
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"TEXT", "INTEGER", "INTEGER", "INTEGER", "TEXT", "TEXT",
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"INTEGER", "INTEGER", "INTEGER", "INTEGER", "INTEGER", "INTEGER",
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"TEXT", "INTEGER", "INTEGER", "INTEGER", "INTEGER", "INTEGER",
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"TEXT", "INTEGER", "INTEGER", "REAL", "REAL", "INTEGER",
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"INTEGER", "INTEGER"
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]
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@@ -63,7 +63,7 @@ assert len(TEST_BACKEND_OPS_DB_FIELDS) == len(TEST_BACKEND_OPS_DB_TYPES)
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LLAMA_BENCH_KEY_PROPERTIES = [
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"cpu_info", "gpu_info", "backends", "n_gpu_layers", "n_cpu_moe", "tensor_buft_overrides", "model_filename", "model_type",
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"n_batch", "n_ubatch", "embeddings", "cpu_mask", "cpu_strict", "poll", "n_threads", "type_k", "type_v",
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"use_mmap", "no_kv_offload", "split_mode", "main_gpu", "tensor_split", "flash_attn", "n_prompt", "n_gen", "n_depth",
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"load_mode", "no_kv_offload", "split_mode", "main_gpu", "tensor_split", "flash_attn", "n_prompt", "n_gen", "n_depth",
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"fit_target", "fit_min_ctx"
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]
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@@ -73,7 +73,7 @@ TEST_BACKEND_OPS_KEY_PROPERTIES = [
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]
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# Properties that are boolean and are converted to Yes/No for the table:
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LLAMA_BENCH_BOOL_PROPERTIES = ["embeddings", "cpu_strict", "use_mmap", "no_kv_offload", "flash_attn"]
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LLAMA_BENCH_BOOL_PROPERTIES = ["embeddings", "cpu_strict", "no_kv_offload", "flash_attn"]
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TEST_BACKEND_OPS_BOOL_PROPERTIES = ["supported", "passed"]
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# Header names for the table (llama-bench):
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@@ -82,7 +82,7 @@ LLAMA_BENCH_PRETTY_NAMES = {
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"tensor_buft_overrides": "Tensor overrides", "model_filename": "File", "model_type": "Model", "model_size": "Model size [GiB]",
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"model_n_params": "Num. of par.", "n_batch": "Batch size", "n_ubatch": "Microbatch size", "embeddings": "Embeddings",
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"cpu_mask": "CPU mask", "cpu_strict": "CPU strict", "poll": "Poll", "n_threads": "Threads", "type_k": "K type", "type_v": "V type",
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"use_mmap": "Use mmap", "no_kv_offload": "NKVO", "split_mode": "Split mode", "main_gpu": "Main GPU", "tensor_split": "Tensor split",
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"load_mode": "Load mode", "no_kv_offload": "NKVO", "split_mode": "Split mode", "main_gpu": "Main GPU", "tensor_split": "Tensor split",
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"flash_attn": "FlashAttention",
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}
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