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Add disk cache slider

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This commit is contained in:
Gnome Ann 2022-06-19 22:53:30 -04:00
parent efed44ac8d
commit 47a58a36b8
4 changed files with 63 additions and 18 deletions
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61
aiserver.py
View File

@ -507,13 +507,17 @@ def device_list(n_layers, primary=None, selected=None):
print(f"{row_color}{colors.YELLOW + '->' + row_color if i == selected else ' '} {'(primary)' if i == primary else ' '*9} {i:3} {sep_color}|{row_color} {gpu_blocks[i]:3} {sep_color}|{row_color} {name}{colors.END}")
row_color = colors.END
sep_color = colors.YELLOW
if(utils.HAS_ACCELERATE):
print(f"{row_color}{colors.YELLOW + '->' + row_color if -1 == selected else ' '} {' '*9} N/A {sep_color}|{row_color} {breakmodel.disk_blocks:3} {sep_color}|{row_color} (Disk cache){colors.END}")
print(f"{row_color} {' '*9} N/A {sep_color}|{row_color} {n_layers:3} {sep_color}|{row_color} (CPU){colors.END}")
def device_config(config):
global breakmodel, generator
import breakmodel
n_layers = utils.num_layers(config)
if(args.breakmodel_gpulayers is not None):
if(args.breakmodel_gpulayers is not None or (utils.HAS_ACCELERATE and args.breakmodel_disklayers is not None)):
if(args.breakmodel_gpulayers is None):
args.breakmodel_gpulayers = ",".join(["0"] * torch.cuda.device_count())
try:
breakmodel.gpu_blocks = list(map(int, args.breakmodel_gpulayers.split(',')))
assert len(breakmodel.gpu_blocks) <= torch.cuda.device_count()
@ -578,7 +582,21 @@ def device_config(config):
print(f"{colors.RED}Please enter an integer between -1 and {n_layers}.{colors.END}")
if(n_layers == 0):
break
if(utils.HAS_ACCELERATE and n_layers > 0):
device_list(n_layers, primary=breakmodel.primary_device, selected=-1)
print(f"{colors.CYAN}\nHow many of the remaining{colors.YELLOW} {n_layers} {colors.CYAN}layers would you like to put into the disk cache?\nYou can also enter -1 to allocate all remaining layers to this device.{colors.END}\n")
while(True):
layerselect = input("# of layers> ")
if((layerselect.isnumeric() or layerselect.strip() == '-1') and -1 <= int(layerselect) <= n_layers):
layerselect = int(layerselect)
layerselect = n_layers if layerselect == -1 else layerselect
breakmodel.disk_blocks = layerselect
n_layers -= layerselect
break
else:
print(f"{colors.RED}Please enter an integer between -1 and {n_layers}.{colors.END}")
print(colors.PURPLE + "\nFinal device configuration:")
device_list(n_layers)
@ -978,6 +996,7 @@ def general_startup(override_args=None):
parser.add_argument("--breakmodel", action='store_true', help=argparse.SUPPRESS)
parser.add_argument("--breakmodel_layers", type=int, help=argparse.SUPPRESS)
parser.add_argument("--breakmodel_gpulayers", type=str, help="If using a model that supports hybrid generation, this is a comma-separated list that specifies how many layers to put on each GPU device. For example to put 8 layers on device 0, 9 layers on device 1 and 11 layers on device 2, use --beakmodel_gpulayers 8,9,11")
parser.add_argument("--breakmodel_disklayers", type=int, help="If using a model that supports hybrid generation, this is the number of layers to put in disk cache.")
parser.add_argument("--override_delete", action='store_true', help="Deleting stories from inside the browser is disabled if you are using --remote and enabled otherwise. Using this option will instead allow deleting stories if using --remote and prevent deleting stories otherwise.")
parser.add_argument("--override_rename", action='store_true', help="Renaming stories from inside the browser is disabled if you are using --remote and enabled otherwise. Using this option will instead allow renaming stories if using --remote and prevent renaming stories otherwise.")
parser.add_argument("--configname", help="Force a fixed configuration name to aid with config management.")
@ -1083,6 +1102,7 @@ def tpumtjgetsofttokens():
def get_model_info(model, directory=""):
# if the model is in the api list
disk_blocks = 0
key = False
breakmodel = False
gpu = False
@ -1109,7 +1129,7 @@ def get_model_info(model, directory=""):
pass
elif model == 'Colab':
url = True
elif not torch.cuda.is_available():
elif not utils.HAS_ACCELERATE and not torch.cuda.is_available():
pass
else:
layer_count = get_layer_count(model, directory=directory)
@ -1119,7 +1139,11 @@ def get_model_info(model, directory=""):
breakmodel = True
if path.exists("settings/{}.breakmodel".format(model.replace("/", "_"))):
with open("settings/{}.breakmodel".format(model.replace("/", "_")), "r") as file:
break_values = file.read().split(",")
data = file.read().split("\n")[:2]
if len(data) < 2:
data.append("0")
break_values, disk_blocks = data
break_values = break_values.split(",")
else:
break_values = [layer_count]
break_values += [0] * (gpu_count - len(break_values))
@ -1129,6 +1153,7 @@ def get_model_info(model, directory=""):
# 'url': url, 'gpu_names': gpu_names}))
emit('from_server', {'cmd': 'selected_model_info', 'key_value': key_value, 'key':key,
'gpu':gpu, 'layer_count':layer_count, 'breakmodel':breakmodel,
'disk_break_value': disk_blocks, 'accelerate': utils.HAS_ACCELERATE,
'break_values': break_values, 'gpu_count': gpu_count,
'url': url, 'gpu_names': gpu_names}, broadcast=True)
if key_value != "":
@ -1470,13 +1495,15 @@ def patch_transformers():
return stopping_criteria
transformers.generation_utils.GenerationMixin._get_stopping_criteria = new_get_stopping_criteria
def load_model(use_gpu=True, gpu_layers=None, initial_load=False, online_model=""):
def load_model(use_gpu=True, gpu_layers=None, disk_layers=None, initial_load=False, online_model=""):
global model
global generator
global torch
global model_config
global GPT2TokenizerFast
global tokenizer
if not utils.HAS_ACCELERATE:
disk_layers = None
vars.noai = False
if not initial_load:
set_aibusy(True)
@ -1486,6 +1513,8 @@ def load_model(use_gpu=True, gpu_layers=None, initial_load=False, online_model="
time.sleep(0.1)
if gpu_layers is not None:
args.breakmodel_gpulayers = gpu_layers
if disk_layers is not None:
args.breakmodel_disklayers = int(disk_layers)
#We need to wipe out the existing model and refresh the cuda cache
model = None
@ -1579,10 +1608,10 @@ def load_model(use_gpu=True, gpu_layers=None, initial_load=False, online_model="
print("WARNING: --breakmodel is no longer supported. Breakmodel mode is now automatically enabled when --breakmodel_gpulayers is used (see --help for details).", file=sys.stderr)
if(args.breakmodel_layers is not None):
print("WARNING: --breakmodel_layers is deprecated. Use --breakmodel_gpulayers instead (see --help for details).", file=sys.stderr)
if(args.model and vars.bmsupported and not args.breakmodel_gpulayers and not args.breakmodel_layers):
if(args.model and vars.bmsupported and not args.breakmodel_gpulayers and not args.breakmodel_layers and (not utils.HAS_ACCELERATE or not args.breakmodel_disklayers)):
print("WARNING: Model launched without the --breakmodel_gpulayers argument, defaulting to GPU only mode.", file=sys.stderr)
vars.bmsupported = False
if(not vars.bmsupported and (args.breakmodel_gpulayers is not None or args.breakmodel_layers is not None)):
if(not vars.bmsupported and (args.breakmodel_gpulayers is not None or args.breakmodel_layers is not None or args.breakmodel_disklayers is not None)):
print("WARNING: This model does not support hybrid generation. --breakmodel_gpulayers will be ignored.", file=sys.stderr)
if(vars.hascuda):
print("{0}FOUND!{1}".format(colors.GREEN, colors.END))
@ -1593,13 +1622,13 @@ def load_model(use_gpu=True, gpu_layers=None, initial_load=False, online_model="
if(vars.hascuda):
genselected = True
vars.usegpu = True
vars.breakmodel = False
vars.breakmodel = utils.HAS_ACCELERATE
if(vars.bmsupported):
vars.usegpu = False
vars.breakmodel = True
if(args.cpu):
vars.usegpu = False
vars.breakmodel = False
vars.breakmodel = utils.HAS_ACCELERATE
elif(vars.hascuda):
if(vars.bmsupported):
genselected = True
@ -1621,7 +1650,7 @@ def load_model(use_gpu=True, gpu_layers=None, initial_load=False, online_model="
vars.usegpu = True
genselected = True
else:
vars.breakmodel = False
vars.breakmodel = utils.HAS_ACCELERATE
vars.usegpu = False
genselected = True
@ -3143,16 +3172,22 @@ def get_message(msg):
if not os.path.exists("settings/"):
os.mkdir("settings")
changed = True
if not utils.HAS_ACCELERATE:
msg['disk_layers'] = "0"
if os.path.exists("settings/" + vars.model.replace('/', '_') + ".breakmodel"):
with open("settings/" + vars.model.replace('/', '_') + ".breakmodel", "r") as file:
if file.read() == msg['gpu_layers']:
data = file.read().split('\n')[:2]
if len(data) < 2:
data.append("0")
gpu_layers, disk_layers = data
if gpu_layers == msg['gpu_layers'] and disk_layers == msg['disk_layers']:
changed = False
if changed:
f = open("settings/" + vars.model.replace('/', '_') + ".breakmodel", "w")
f.write(msg['gpu_layers'])
f.write(msg['gpu_layers'] + '\n' + msg['disk_layers'])
f.close()
vars.colaburl = msg['url'] + "/request"
load_model(use_gpu=msg['use_gpu'], gpu_layers=msg['gpu_layers'], online_model=msg['online_model'])
load_model(use_gpu=msg['use_gpu'], gpu_layers=msg['gpu_layers'], disk_layers=msg['disk_layers'], online_model=msg['online_model'])
elif(msg['cmd'] == 'show_model'):
print("Model Name: {}".format(getmodelname()))
emit('from_server', {'cmd': 'show_model_name', 'data': getmodelname()}, broadcast=True)

3
breakmodel.py
View File

@ -230,7 +230,8 @@ logger = logging.get_logger(__name__)
breakmodel = True
gpu_blocks = []
primary_device = 0
disk_blocks = 0
primary_device = 0 if torch.cuda.device_count() > 0 else "cpu"
# Copied from transformers.models.bart.modeling_bart._expand_mask

11
static/application.js
View File

@ -1966,6 +1966,10 @@ function update_gpu_layers() {
gpu_layers += parseInt($("#gpu_layers"+i)[0].value);
$("#gpu_layers_box_"+i)[0].value=$("#gpu_layers"+i)[0].value;
}
if ($("#disk_layers").length > 0) {
gpu_layers += parseInt($("#disk_layers")[0].value);
$("#disk_layers_box")[0].value=$("#disk_layers")[0].value;
}
if (gpu_layers > parseInt(document.getElementById("gpu_layers_max").innerHTML)) {
disableButtons([load_model_accept]);
$("#gpu_layers_current").html("<span style='color: red'>"+gpu_layers+"/"+ document.getElementById("gpu_layers_max").innerHTML +"</span>");
@ -2609,6 +2613,10 @@ $(document).ready(function(){
html += 'onblur=\'$("#gpu_layers'+i+'")[0].value=$("#gpu_layers_box_'+i+'")[0].value;update_gpu_layers();\'>';
html += "<input type='range' class='form-range airange' min='0' max='"+msg.layer_count+"' step='1' value='"+msg.break_values[i]+"' id='gpu_layers"+i+"' onchange='update_gpu_layers();'>";
}
html += "Disk cache: ";
html += '<input inputmode="numeric" id="disk_layers_box" class="justifyright flex-push-right model_layers" value="'+msg.disk_break_value+'" ';
html += 'onblur=\'$("#disk_layers")[0].value=$("#disk_layers_box")[0].value;update_gpu_layers();\'>';
html += "<input type='range' class='form-range airange' min='0' max='"+msg.layer_count+"' step='1' value='"+msg.disk_break_value+"' id='disk_layers' onchange='update_gpu_layers();'>";
$("#model_layer_bars").html(html);
$("#gpu_layers_max").html(msg.layer_count);
$("#gpu_count")[0].value = msg.gpu_count;
@ -2925,7 +2933,8 @@ $(document).ready(function(){
gpu_layers += $("#gpu_layers"+i)[0].value + ",";
}
}
message = {'cmd': 'load_model', 'use_gpu': $('#use_gpu')[0].checked, 'key': $('#modelkey')[0].value, 'gpu_layers': gpu_layers.slice(0, -1), 'url': $('#modelurl')[0].value, 'online_model': $('#oaimodel')[0].value};
var disk_layers = $("#disk_layers").length > 0 ? $("#disk_layers")[0].value : 0;
message = {'cmd': 'load_model', 'use_gpu': $('#use_gpu')[0].checked, 'key': $('#modelkey')[0].value, 'gpu_layers': gpu_layers.slice(0, -1), 'disk_layers': disk_layers, 'url': $('#modelurl')[0].value, 'online_model': $('#oaimodel')[0].value};
socket.send(message);
loadmodelcontent.html("");
hideLoadModelPopup();

6
templates/index.html
View File

@ -17,7 +17,7 @@
<script src="static/bootstrap.min.js"></script>
<script src="static/bootstrap-toggle.min.js"></script>
<script src="static/rangy-core.min.js"></script>
<script src="static/application.js?ver=1.18.1b"></script>
<script src="static/application.js?ver=1.18.1c"></script>
<script src="static/favicon.js"></script>
{% if flaskwebgui %}
<script src="static/flask_web_gui.js"></script>
@ -304,9 +304,9 @@
<div class='settingitem' style="width:100%">
<div class='settinglabel'>
<div class="justifyleft">
GPU Layers
GPU/Disk Layers
<span class="helpicon">?
<span class="helptext">Number of layers to assign to the GPU</span>
<span class="helptext">Number of layers to assign to GPUs and to disk cache. Remaining layers will be put into CPU RAM.</span>
</span>
</div>
<div class="justifyright" id="gpu_layers_current">0</div>