and_variables(sess,[tf.saved_model.tag_constants.SERVING],signature_def_map={ 'predict_images':signature,},clear_devices=True)builder.save()model=Softmax()signature=model.signature_def()model.savedmodel(sess,signature,...
hit={hit}&sort_type={sort_type}&user_id={user_id}&model_name={model_name} 说明 以上 URL 省略了请求Header参数及编码等因素 以上 URL 中省略了访问应用的 host 地址 请求参数 名称 是否必须 类型 默认值 说明 备注 app_name 是 string...
provider(self):args=get_args()model=BertForSequenceClassification.from_pretrained(args.load)return model,None,None def run_forward_step(self,batch,model):output_tensor=model(*batch)return output_tensor.loss#after each ...
chatglm2-6b-32k/llm-model/chatglm2-6b-32k 开源模型 baichuan2-7b-chat/llm-model/Baichuan2-7B-Chat 开源模型 baichuan2-13b-chat/llm-model/Baichuan2-13B-Chat 开源模型 llama-2-7b-hf/llm-model/Llama-2-7b-hf 开源模型 llama-2-13b-...
送礼物*@param model 礼物消息体*@param anchorId 主播ID*@param callback 回调函数*/void sendGift(GiftModel model,String anchorId,Callback<String>callback);在 AUIMessageServiceImpl 类中实现上述送礼物消息的方法。Override public...
Fatal error:class"Model"not found in~runtime.php 问题原因 网站程序存在异常~runtime.php文件,~runtime.php是很多第三方PHP网站程序模板编译的缓存文件,由网站程序自动创建,默认存放在Runtime目录下。如果您使用了模式扩展,编译缓存...
my-model runtime:my-model-server storage:key:localMinIO path:sklearn/mnist-svm.joblib 在YAML中,InferenceService命名为 my-model-sample,并声明其模型格式为 my-model,与之前创建的示例自定义运行时使用相同的格式。同时,还传递...
命令执行成功后,返回如下结果:{"request_id":"12869b6a-4785-9d65-91c1-0a1c102aadd4","output":{"deployed_model":"qwen-turbo-5790cf81","status":"PENDING","model_name":"qwen-turbo"} } 其中 deployed_model 为专属服务的唯一ID。...
def load_retinanet(config_path):model=model_zoo.get(config_path,trained=True).eval()#Set a new cell_anchors attributes to PyTorch model.model.cell_anchors=[c.contiguous()for c in model.anchor_generator.cell_anchors]fields=...
语法 CREATE MODEL model_name FROM {table_name|(select_statement)|model_file_path|huggingface_repo|modelscope_repo}[TARGET column_name]TASK(FEATURE_EXTRACTION|SEMANTIC_RETRIEVAL|TEXT_TO_IMAGE|.)ALGORITHM(BGE_LARGE_ZH|...
返回结果:+-+-+-+-+-+|name|status|sql_function|created_time|update_time|+-+-+-+-+-+|sr_model_para|READY|ai_infer|2024-01-18T15:56:14.289+08:00|2024-01-18T15:59:47.956+08:00|bge_model|READY|ai_infer|2024-01-30T18:49:05.941+...
pip install h2o 修改脚本中model_id、预测文件本机存放路径和预测结果保存路径。import h2o h2o.connect(url="http://ip:port",auth=('username','password'))#修改一:使用模型 model_id model=h2o.get_model('model_id')#修改二:预测...
PAI-name Normalize-project algo_public-DoutputParaTableName="normalize_test_input_output_using_model_model_output"-DinputParaTableName="normalize_test_input_model_output"-Dlifecycle="28"-DoutputTableName="normalize_test_...
optimized_model,opt_spec,report=blade.optimize(model,#The original model,here is a torch scrip model.'o1',#Optimization level o1 or o2.device_type='gpu',#Target device to run the optimized model.test_data=[dummy],#For ...
Objects in extension"rds_embedding"Object description-function rds_embedding.add_model(text,text,text,text,text)function rds_embedding.del_model(text)function rds_embedding.get_embedding_by_model(text,text,text)function ...
命令执行成功后,返回如下结果:{"request_id":"12869b6a-4785-9d65-91c1-0a1c102aadd4","output":{"deployed_model":"qwen-turbo-5790cf81","status":"PENDING","model_name":"qwen-turbo"} } 其中 deployed_model 为专属服务的唯一ID。...
'o1',device_type='gpu',)传入SavedModel路径 optimized_model,opt_spec,report=blade.optimize('./path/to/saved_model_directory/','o1',device_type='gpu',)后续步骤 经过PAI-Blade优化的模型,您可以通过Python直接执行或部署为 EAS ...
PAI-name Standardize-project algo_public-DoutputParaTableName="standardize_test_input_output_using_model_model_output"-DinputParaTableName="standardize_test_input_model_output"-Dlifecycle="28"-DoutputTableName="standardize...
dynamic"else"dynamic"model,optimizer=amp.initialize(model,optimizer,opt_level=config.AMP_OPT_LEVEL,loss_scale=loss_scale)local_rank=int(os.environ["LOCAL_RANK"])if 'LOCAL_RANK' in os.environ else config.LOCAL_RANK model=...
def load_retinanet(config_path):model=model_zoo.get(config_path,trained=True).eval()fields={"pred_boxes":Boxes,"scores":Tensor,"pred_classes":Tensor,} script_model=scripting_with_instances(model,fields)return model,script_...
场景1:训练alexnet模型 Model:alexnet Domain:COMPUTER_VISION Subdomain:CLASSIFICATION Batch_size:128 Precision:amp 该场景下的alexnet模型训练后的性能数据如下所示:场景2:训练resnet18模型 Model:resnet18 Domain:COMPUTER...
backbone inception_v4-num_classes 10-num_epochs 1-model_dir oss:/examplebucket/test/cifar_inception_v4-use_pretrained_model true-train_data oss:/examplebucket/data/test/cifar10/*.tfrecord-test_data oss:/examplebucket/data/...
原程序为:model=nn.DataParallel(model.cuda())使用以下任一种方法修改:方式1 model=nn.DataParallel(model.cuda(),device_ids=[hvd.local_rank()])方式2 model=model.cuda()此方式中,cuda()默认会调用 步骤2 中设置的当前process绑定的...
模型评估 API 代码示例 from typing import Union,Tuple,Dict import tensorflow as tf from tensorflow import keras from tensorflow.python.keras import Model from fascia.biz.model import JupiterKerasModel from fascia.biz.api....
分析某个型号的车辆一段时间内的平均排放值 select avg(emission)from `vehicles_timeseriesdata:multi_model` where tag_value_at(_tags,"model")='model_0' and_time>1655189452942704 and_time;分析每个厂商车辆的总里程 select tag_...
arena serve triton \-name=bert-triton \-namespace=inference \-gpus=1 \-replicas=1 \-image=nvcr.io/nvidia/tritonserver:20.12-py3 \-data=model-pvc:/models \-model-repository=models/triton 预期输出:configmap/bert-triton-...
argument('-m','-model',type=str,required=True,help='model file path')FLAGS=parser.parse_args()#加载script模型 model=torch.jit.load(FLAGS.model).cuda()#初始化随机输入tensor input_tensor=torch.rand((1,3,224,224)).cuda()#执行...
device(device)model=model.cuda()model=torch.nn.parallel.DistributedDataParallel(model)Optimizer封装 若需要启用AMP O1功能,请参考bert.py文件的139-142行进行修改。if args.device="xla"and args.amp_level="O1":optimizer=syncfree...
示例:/model/.cache/huggingface/hub/models-madhurjindal-autonlp-Gibberish-Detector-492513457/snapshots/c068f552cdee957e45d8773db9f7158d43902244 task-type 模型使用的任务类型,不同模型支持的任务类型不同。huggingface模型目前...
class Test { public static main(String[]args){ AsrPhraseParam param=AsrPhraseParam.builder().model("your-model").phraseList(Collections.singletonMap("通义千问",5)).apiKey("your-dashscope-api-key").build();...
示例 创建模型与模型离线训练/*polar4ai*/CREATE MODEL linearreg1 WITH(model_class='linearreg',x_cols='dx1,dx2',y_cols='y',model_parameter=(epoch=3))AS(SELECT*FROM db4ai.testdata1);模型评估/*polar4ai*/SELECT dx1,dx2 FROM ...
Dpretrained_model='{bucket_name}.{oss_host}/{model_path}/resent_3d_50_model.ckpt'-Dtrain_data='{bucket_name}.{oss_host}/{path}/data_train_0_0.tfrecord'-Dtest_data='{bucket_name}.{oss_host}/{path}/data_train_0_0.tfrecord'-...
取值为True或False False 示例 PAI命令行 pai-name split_word_model-project algo_public-DoutputModelName=aliws_model 部署 create onlinemodel ning_test_aliws_model_2-offlinemodelName ning_test_aliws_model-instanceNum 1-cpu 100...
否 model_dir 训练模型存储的OSS路径,如果指定了model_dir将会覆盖config里面的model_dir,一般在周期性调度的时候使用。否 cmd 指定为export,实现模型导出功能。是 export_dir 导出到指定的OSS目录。是 arn 指定资源组授权,您可以登录 ...
节点启动命令 cd/workspace/diffusers/examples/text_to_image&accelerate launch-mixed_precision="fp16"train_text_to_image_lora_eval.py \-pretrained_model_name_or_path="/workspace/diffusers_model_data/model"\-dataset_name="/...
QwenParam param=QwenParam.builder().model(model).prompt(prompt).build();GenerationResult result=gen.call(param);System.out.println(JsonUtils.toJson(result));} public static void qwenQuickStartCallback()throws NoApi...
示例 创建模型与模型离线训练/*polar4ai*/CREATE MODEL airline_gbdt WITH(model_class='gbdt',x_cols='Time,Length',y_cols='Delay',model_parameter=(n_estimators=200))AS(SELECT*FROM db4ai.airlines);模型评估/*polar4ai*/SELECT ...
if(this.point.x|this.point.x>=295){ this.point.dx=-this.point.dx;this.point.r=Math.round(Math.random()*255|0);this.point.g=Math.round(Math.random()*255|0);this.point.b=Math.round(Math.random()*255|0);} if(this.point.y|this...
支持更新控件 item 项@param items 删除已有数据,重新替换为新的 item 数据*/-(void)updateItemModel:(AUSegmentItemModel*)model atIndex:(NSInteger)index;end/右边显示行动点按钮,默认显示加号+interface AUSegment(AUActionIcon)-...
SIG Model ID or Vendor Model ID TgMeshManager.getInstance().configModelSubscriptionAdd(deviceKey,primaryAddress,elementAddress,subscriptionAddress,modelIdentifier,new IActionListener(){@Override public void onSuccess...