小编DDC*_*DDC的帖子

是否可以在一个进程中访问数据库,在另一个进程中创建？我试过了:

空闲#1

import sqlite3
conn = sqlite3.connect(':memory:')
c = conn.cursor()
c.execute("create table test(testcolumn)")
c.execute("insert into test values('helloooo')")
conn.commit()
conn.close()

IDLE#2

import sqlite3
conn = sqlite3.connect(':memory:')
c = conn.cursor()
c.execute("select * from test")

错误:

Traceback (most recent call last):
  File "<pyshell#5>", line 1, in <module>
    q = c.execute("select * from test")
sqlite3.OperationalError: no such table: test

我正在使用tensorflow_model_server 来提供SavedModel。我不断收到此响应代码 400 和以下错误：

{ "error": "The first dimension of paddings must be the rank of inputs[4,2] [1,1,1,208,770,3]\\n\\t [[{{node Generator/FlatConv/sequential/zero_padding2d/Pad}}]]" }

save-model-cli 的输出显示...

MetaGraphDef with tag-set: 'serve' contains the following SignatureDefs:

signature_def['__saved_model_init_op']:
  The given SavedModel SignatureDef contains the following input(s):
  The given SavedModel SignatureDef contains the following output(s):
    outputs['__saved_model_init_op'] tensor_info:
        dtype: DT_INVALID
        shape: unknown_rank
        name: NoOp
  Method name is: 

signature_def['serving_default']:
  The given SavedModel SignatureDef contains the following input(s):
    inputs['input_1'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1, -1, -1, 3)
        name: serving_default_input_1:0
  The …

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我是一名Java程序员.我想知道为什么CSC生成一个exe文件而不是像Java那样生成一些MSIL文件(.class文件).是.exe只是一个扩展名,文件实际上是在MSIL？