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feat: user defined inference device for CUDA and OpenVINO (#2212)

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user defined inference device

configuration via main_gpu parameter
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fakezeta 2024-05-02 09:54:29 +02:00 committed by GitHub
parent 6a7a7996bb
commit 4690b534e0
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1 changed files with 19 additions and 11 deletions
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28
backend/python/transformers/transformers_server.py
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@ -89,8 +89,8 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
quantization = None quantization = None
if self.CUDA: if self.CUDA:
if request.Device: if request.MainGPU:
device_map=request.Device device_map=request.MainGPU
else: else:
device_map="cuda:0" device_map="cuda:0"
if request.Quantization == "bnb_4bit": if request.Quantization == "bnb_4bit":
@ -143,28 +143,36 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
from optimum.intel.openvino import OVModelForCausalLM from optimum.intel.openvino import OVModelForCausalLM
from openvino.runtime import Core from openvino.runtime import Core
if "GPU" in Core().available_devices: if request.MainGPU:
device_map="GPU" device_map=request.MainGPU
else: else:
device_map="CPU" device_map="AUTO"
devices = Core().available_devices
if "GPU" in " ".join(devices):
device_map="AUTO:GPU"
self.model = OVModelForCausalLM.from_pretrained(model_name, self.model = OVModelForCausalLM.from_pretrained(model_name,
compile=True, compile=True,
trust_remote_code=request.TrustRemoteCode, trust_remote_code=request.TrustRemoteCode,
ov_config={"PERFORMANCE_HINT": "CUMULATIVE_THROUGHPUT"}, ov_config={"PERFORMANCE_HINT": "CUMULATIVE_THROUGHPUT","GPU_DISABLE_WINOGRAD_CONVOLUTION": "YES"},
device=device_map) device=device_map)
self.OV = True self.OV = True
elif request.Type == "OVModelForFeatureExtraction": elif request.Type == "OVModelForFeatureExtraction":
from optimum.intel.openvino import OVModelForFeatureExtraction from optimum.intel.openvino import OVModelForFeatureExtraction
from openvino.runtime import Core from openvino.runtime import Core
if "GPU" in Core().available_devices: if request.MainGPU:
device_map="GPU" device_map=request.MainGPU
else: else:
device_map="CPU" device_map="AUTO"
devices = Core().available_devices
if "GPU" in " ".join(devices):
device_map="AUTO:GPU"
self.model = OVModelForFeatureExtraction.from_pretrained(model_name, self.model = OVModelForFeatureExtraction.from_pretrained(model_name,
compile=True, compile=True,
trust_remote_code=request.TrustRemoteCode, trust_remote_code=request.TrustRemoteCode,
ov_config={"PERFORMANCE_HINT": "CUMULATIVE_THROUGHPUT"}, ov_config={"PERFORMANCE_HINT": "CUMULATIVE_THROUGHPUT", "GPU_DISABLE_WINOGRAD_CONVOLUTION": "YES"},
export=True, export=True,
device=device_map) device=device_map)
self.OV = True self.OV = True