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LocalAI/backend/python/autogptq/backend_pb2.py

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feat: add initial AutoGPTQ backend implementation
2023-08-07 20:39:10 +00:00
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: backend.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
from google.protobuf.internal import builder as _builder
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
feat(llama.cpp): support lora with scale and yarn (#1277) * feat(llama.cpp): support lora with scale Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(llama.cpp): support yarn Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2023-11-11 17:40:48 +00:00
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\rbackend.proto\x12\x07\x62\x61\x63kend\"\x0f\n\rHealthMessage\"\xa6\x06\n\x0ePredictOptions\x12\x0e\n\x06Prompt\x18\x01 \x01(\t\x12\x0c\n\x04Seed\x18\x02 \x01(\x05\x12\x0f\n\x07Threads\x18\x03 \x01(\x05\x12\x0e\n\x06Tokens\x18\x04 \x01(\x05\x12\x0c\n\x04TopK\x18\x05 \x01(\x05\x12\x0e\n\x06Repeat\x18\x06 \x01(\x05\x12\r\n\x05\x42\x61tch\x18\x07 \x01(\x05\x12\r\n\x05NKeep\x18\x08 \x01(\x05\x12\x13\n\x0bTemperature\x18\t \x01(\x02\x12\x0f\n\x07Penalty\x18\n \x01(\x02\x12\r\n\x05\x46\x31\x36KV\x18\x0b \x01(\x08\x12\x11\n\tDebugMode\x18\x0c \x01(\x08\x12\x13\n\x0bStopPrompts\x18\r \x03(\t\x12\x11\n\tIgnoreEOS\x18\x0e \x01(\x08\x12\x19\n\x11TailFreeSamplingZ\x18\x0f \x01(\x02\x12\x10\n\x08TypicalP\x18\x10 \x01(\x02\x12\x18\n\x10\x46requencyPenalty\x18\x11 \x01(\x02\x12\x17\n\x0fPresencePenalty\x18\x12 \x01(\x02\x12\x10\n\x08Mirostat\x18\x13 \x01(\x05\x12\x13\n\x0bMirostatETA\x18\x14 \x01(\x02\x12\x13\n\x0bMirostatTAU\x18\x15 \x01(\x02\x12\x12\n\nPenalizeNL\x18\x16 \x01(\x08\x12\x11\n\tLogitBias\x18\x17 \x01(\t\x12\r\n\x05MLock\x18\x19 \x01(\x08\x12\x0c\n\x04MMap\x18\x1a \x01(\x08\x12\x16\n\x0ePromptCacheAll\x18\x1b \x01(\x08\x12\x15\n\rPromptCacheRO\x18\x1c \x01(\x08\x12\x0f\n\x07Grammar\x18\x1d \x01(\t\x12\x0f\n\x07MainGPU\x18\x1e \x01(\t\x12\x13\n\x0bTensorSplit\x18\x1f \x01(\t\x12\x0c\n\x04TopP\x18 \x01(\x02\x12\x17\n\x0fPromptCachePath\x18! \x01(\t\x12\r\n\x05\x44\x65\x62ug\x18\" \x01(\x08\x12\x17\n\x0f\x45mbeddingTokens\x18# \x03(\x05\x12\x12\n\nEmbeddings\x18$ \x01(\t\x12\x14\n\x0cRopeFreqBase\x18% \x01(\x02\x12\x15\n\rRopeFreqScale\x18& \x01(\x02\x12\x1b\n\x13NegativePromptScale\x18\' \x01(\x02\x12\x16\n\x0eNegativePrompt\x18( \x01(\t\x12\x0e\n\x06NDraft\x18) \x01(\x05\x12\x0e\n\x06Images\x18* \x03(\t\"\x18\n\x05Reply\x12\x0f\n\x07message\x18\x01 \x01(\x0c\"\x99\x07\n\x0cModelOptions\x12\r\n\x05Model\x18\x01 \x01(\t\x12\x13\n\x0b\x43ontextSize\x18\x02 \x01(\x05\x12\x0c\n\x04Seed\x18\x03 \x01(\x05\x12\x0e\n\x06NBatch\x18\x04 \x01(\x05\x12\x11\n\tF16Memory\x18\x05 \x01(\x08\x12\r\n\x05MLock\x18\x06 \x01(\x08\x12\x0c\n\x04MMap\x18\x07 \x01(\x08\x12\x11\n\tVocabOnly\x18\x08 \x01(\x08\x12\x0f\n\x07LowVRAM\x18\t \x01(\x08\x12\x12\n\nEmbeddings\x18\n \x01(\x08\x12\x0c\n\x04NUMA\x18\x0b \x01(\x08\x12\x12\n\nNGPULayers\x18\x0c \x01(\x05\x12\x0f\n\x07MainGPU\x18\r \x01(\t\x12\x13\n\x0bTensorSplit\x18\x0e \x01(\t\x12\x0f\n\x07Threads\x18\x0f \x01(\x05\x12\x19\n\x11LibrarySearchPath\x18\x10 \x01(\t\x12\x14\n\x0cRopeFreqBase\x18\x11 \x01(\x02\x12\x15\n\rRopeFreqScale\x18\x12 \x01(\x02\x12\x12\n\nRMSNormEps\x18\x13 \x01(\x02\x12\x0c\n\x04NGQA\x18\x14 \x01(\x05\x12\x11\n\tModelFile\x18\x15 \x01(\t\x12\x0e\n\x06\x44\x65vice\x18\x16 \x01(\t\x12\x11\n\tUseTriton\x18\x17 \x01(\x08\x12\x15\n\rModelBaseName\x18\x18 \x01(\t\x12\x18\n\x10UseFastTokenizer\x18\x19 \x01(\x08\x12\x14\n\x0cPipelineType\x18\x1a \x01(\t\x12\x15\n\rSchedulerType\x18\x1b \x01(\t\x12\x0c\n\x04\x43UDA\x18\x1c \x01(\x08\x12\x10\n\x08\x43\x46GScale\x18\x1d \x01(\x02\x12\x0f\n\x07IMG2IMG\x18\x1e \x01(\x08\x12\x11\n\tCLIPModel\x18\x1f \x01(\t\x12\x15\n\rCLIPSubfolder\x18 \x01(\t\x12\x10\n\x08\x43LIPSkip\x18! \x01(\x05\x12\x11\n\tTokenizer\x18\" \x01(\t\x12\x10\n\x08LoraBase\x18# \x01(\t\x12\x13\n\x0bLoraAdapter\x18$ \x01(\t\x12\x11\n\tLoraScale\x18* \x01(\x02\x12\x11\n\tNoMulMatQ\x18% \x01(\x08\x12\x12\n\nDraftModel\x18\' \x01(\t\x12\x11\n\tAudioPath\x18& \x01(\t\x12\x14\n\x0cQuantization\x18( \x01(\t\x12\x0e\n\x06MMProj\x18) \x01(\t\x12\x13\n\x0bRopeScaling\x18+ \x01(\t\x12\x15\n\rYarnExtFactor\x18, \x01(\x02\x12\x16\n\x0eYarnAttnFactor\x18- \x01(\x02\x12\x14\n\x0cYarnBetaFast\x18. \x01(\x02\x12\x14\n\x0cYarnBetaSlow\x18/ \x01(\x02\"*\n\x06Result\x12\x0f\n\x07message\x18\x01 \x01(\t\x12\x0f\n\x07success\x18\x02 \x01(\x08\"%\n\x0f\x45mbeddingResult\x12\x12\n\nembeddings\x18\x01 \x03(\x02\"C\n\x11TranscriptRequest\x12\x0b\n\x03\x64st\x18\x02 \x01(\t\x12\x10\n\x08language\x18\x03 \x01(\t\x12\x0f\n\x07threads\x18\x04 \x01(\r\"N\n\x10TranscriptResult\x12,\n\x08segments\x18\x01 \x03(\x0b\x32\x1a.backend.Transcript
feat: add initial AutoGPTQ backend implementation
2023-08-07 20:39:10 +00:00
_globals = globals()
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'backend_pb2', _globals)
if _descriptor._USE_C_DESCRIPTORS == False:
DESCRIPTOR._options = None
DESCRIPTOR._serialized_options = b'\n\031io.skynet.localai.backendB\016LocalAIBackendP\001Z+github.com/go-skynet/LocalAI/pkg/grpc/proto'
feat(diffusers): be consistent with pipelines, support also depthimg2img (#926) Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2023-08-18 20:06:24 +00:00
_MEMORYUSAGEDATA_BREAKDOWNENTRY._options = None
_MEMORYUSAGEDATA_BREAKDOWNENTRY._serialized_options = b'8\001'
feat: add initial AutoGPTQ backend implementation
2023-08-07 20:39:10 +00:00
_globals['_HEALTHMESSAGE']._serialized_start=26
_globals['_HEALTHMESSAGE']._serialized_end=41
_globals['_PREDICTOPTIONS']._serialized_start=44
:fire: add LaVA support and GPT vision API, Multiple requests for llama.cpp, return JSON types (#1254) * wip * wip * Make it functional Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * wip * Small fixups * do not inject space on role encoding, encode img at beginning of messages Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Add examples/config defaults * Add include dir of current source dir * cleanup * fixes Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fixups * Revert "fixups" This reverts commit f1a4731ccadf7226c6589d6d39131376f0811625. * fixes Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2023-11-11 12:14:59 +00:00
_globals['_PREDICTOPTIONS']._serialized_end=850
_globals['_REPLY']._serialized_start=852
_globals['_REPLY']._serialized_end=876
_globals['_MODELOPTIONS']._serialized_start=879
feat(llama.cpp): support lora with scale and yarn (#1277) * feat(llama.cpp): support lora with scale Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(llama.cpp): support yarn Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2023-11-11 17:40:48 +00:00
_globals['_MODELOPTIONS']._serialized_end=1800
_globals['_RESULT']._serialized_start=1802
_globals['_RESULT']._serialized_end=1844
_globals['_EMBEDDINGRESULT']._serialized_start=1846
_globals['_EMBEDDINGRESULT']._serialized_end=1883
_globals['_TRANSCRIPTREQUEST']._serialized_start=1885
_globals['_TRANSCRIPTREQUEST']._serialized_end=1952
_globals['_TRANSCRIPTRESULT']._serialized_start=1954
_globals['_TRANSCRIPTRESULT']._serialized_end=2032
_globals['_TRANSCRIPTSEGMENT']._serialized_start=2034
_globals['_TRANSCRIPTSEGMENT']._serialized_end=2123
_globals['_GENERATEIMAGEREQUEST']._serialized_start=2126
_globals['_GENERATEIMAGEREQUEST']._serialized_end=2341
_globals['_TTSREQUEST']._serialized_start=2343
_globals['_TTSREQUEST']._serialized_end=2397
_globals['_TOKENIZATIONRESPONSE']._serialized_start=2399
_globals['_TOKENIZATIONRESPONSE']._serialized_end=2453
_globals['_MEMORYUSAGEDATA']._serialized_start=2456
_globals['_MEMORYUSAGEDATA']._serialized_end=2598
_globals['_MEMORYUSAGEDATA_BREAKDOWNENTRY']._serialized_start=2550
_globals['_MEMORYUSAGEDATA_BREAKDOWNENTRY']._serialized_end=2598
_globals['_STATUSRESPONSE']._serialized_start=2601
_globals['_STATUSRESPONSE']._serialized_end=2774
_globals['_STATUSRESPONSE_STATE']._serialized_start=2707
_globals['_STATUSRESPONSE_STATE']._serialized_end=2774
_globals['_BACKEND']._serialized_start=2777
_globals['_BACKEND']._serialized_end=3405
feat: add initial AutoGPTQ backend implementation
2023-08-07 20:39:10 +00:00
# @@protoc_insertion_point(module_scope)
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