Smaller optimizations
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12
aiserver.py
12
aiserver.py
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@ -106,7 +106,7 @@ class vars:
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ikgen = 200 # Number of characters for InferKit to generate
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rep_pen = 1.1 # Default generator repetition_penalty
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rep_pen_slope = 1.0 # Default generator repetition penalty slope
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rep_pen_range = 512 # Default generator repetition penalty range
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rep_pen_range = 1024 # Default generator repetition penalty range
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temp = 0.5 # Default generator temperature
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top_p = 0.9 # Default generator top_p
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top_k = 0 # Default generator top_k
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@ -414,18 +414,16 @@ def device_config(model):
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#==================================================================#
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def loadmodelsettings():
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try:
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model_js_config = str(model_config).partition(' ')[2]
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js = json.loads(model_js_config)
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js = json.loads(str(model_config).partition(' ')[2])
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except Exception as e:
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try:
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try:
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model_js_config = open(vars.custmodpth + "/config.json", "r")
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js = json.load(open(vars.custmodpth + "/config.json", "r"))
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except Exception as e:
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model_js_config = open(vars.custmodpth.replace('/', '_') + "/config.json", "r")
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js = json.load(model_js_config)
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js = json.load(open(vars.custmodpth.replace('/', '_') + "/config.json", "r"))
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except Exception as e:
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js = {}
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if vars.model_type == "xglm" or js.get("modelcompat", "j") == "fairseq_lm":
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if vars.model_type == "xglm" or js.get("compat", "j") == "fairseq_lm":
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vars.newlinemode = "s" # Default to </s> newline mode if using XGLM
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vars.modelconfig = js
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if("badwordsids" in js):
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