输入输出¶
命令¶
saved_model_cli show --all --dir export/1650854967
输出¶
MetaGraphDef with tag-set: 'serve' contains the following SignatureDefs:
signature_def['serving_default']:
The given SavedModel SignatureDef contains the following input(s):
inputs['adgroup_id'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: input_3:0
inputs['age_level'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: input_12:0
inputs['brand'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: input_7:0
inputs['campaign_id'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: input_5:0
inputs['cate_id'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: input_4:0
inputs['cms_group_id'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: input_10:0
inputs['cms_segid'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: input_9:0
inputs['customer'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: input_6:0
inputs['final_gender_code'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: input_11:0
inputs['new_user_class_level'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: input_16:0
inputs['occupation'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: input_15:0
inputs['pid'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: input_2:0
inputs['price'] tensor_info:
dtype: DT_INT32
shape: (-1)
name: input_19:0
inputs['pvalue_level'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: input_13:0
inputs['shopping_level'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: input_14:0
inputs['tag_brand_list'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: input_18:0
inputs['tag_category_list'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: input_17:0
inputs['user_id'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: input_8:0
The given SavedModel SignatureDef contains the following output(s):
outputs['item_emb'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: ReduceJoin_1/ReduceJoin:0
outputs['item_tower_feature'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: ReduceJoin_3/ReduceJoin:0
outputs['logits'] tensor_info:
dtype: DT_FLOAT
shape: (-1)
name: Reshape:0
outputs['probs'] tensor_info:
dtype: DT_FLOAT
shape: (-1)
name: Sigmoid:0
outputs['user_emb'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: ReduceJoin/ReduceJoin:0
outputs['user_tower_feature'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: ReduceJoin_2/ReduceJoin:0
Method name is: tensorflow/serving/predict
signature_def: 默认是serving_default
inputs: 输入列表
dtype: 输入tensor类型
shape: 输入tensor的shape
name: 输入Placeholder的名称
outputs: 输出列表
dtype: 输出tensor类型
shape: 输入tensor的shape
name: 输出tensor的名称