Theano max_pool_3d

断了今生、忘了曾经 提交于 2020-01-17 05:04:08
问题 How do I extend theanos downsample.max_pool_2d_same_size in order to pool not only within a feature map, but also between those - in a efficient manner? Lets say i got 3 feature maps, each of size 10x10, that would be a 4D Tensor (1,3,10,10). First lets max pool ((2,2), no overlapping) each of the (10,10) feature map. The results are 3 sparse feature maps, still (10,10) but most values equal to zero: within a (2,2) window is at most one value greater than zero. This is what downsample.max

Npgsql Connection Pool Stopping At MinPoolSize Connections

北城余情 提交于 2020-01-03 06:33:49
问题 First time working with Npgsql, although I've done other PostgreSQL programming. Npgsql 3.1.6, PostgreSQL 9.5. Visual Studio 2015 with .Net 4.5.1. I have a connection string that looks like this (same string is used every time, unmodified, for every DB connection attempt): Server=dbserver;SearchPath=network;Database=netinfo;User ID=netuser;Password=netpassword;Port=19491;CommandTimeout=300;Pooling=true;MaxPoolSize=75 This is a C# multi-threaded data collector for our network. Up to 32 threads

Mean or max pooling with masking support in Keras

倾然丶 夕夏残阳落幕 提交于 2019-12-29 04:54:29
问题 ... print('Build model...') model = Sequential() model.add(Embedding(max_features, 128)) model.add(LSTM(size, return_sequences=True, dropout_W=0.2 dropout_U=0.2)) model.add(GlobalAveragePooling1D()) model.add(Dense(1)) model.add(Activation('sigmoid')) .... I need to be able to take the mean or max of the vectors for all time steps in a sample after LSTM layer before giving this mean or max vector to the dense layer in Keras. I think timedistributedmerge was able to do this but it was

db connection pool across processes

耗尽温柔 提交于 2019-12-20 03:01:31
问题 We have a client/server application that consists of multiple EXEs. The data access layer is on the same physical tier as the client in a library shared by our EXE modules. ODBC and OleDB connection pools are managed per-process; are there techniques for sharing DB connections across processes (other than moving the data access layer to a middle tier)? 回答1: Database connections in OLEDB and ODBC are intrinsically process bound. At the lowest levels, a sql server database connection is using

Is DBCP (Apache Commons Database Connection Pooling) still relevant?

此生再无相见时 提交于 2019-12-17 18:27:15
问题 The JDBC 3.0 spec talks about Connection (and Prepared Statement) pooling. We have several standalone Java programs (i.e. we are not using an application server) that have been using DBCP to provide connection pooling. Should we continue to use DBCP, or can we take advantage of the JDBC-provided pooling and get rid of DBCP? We are using MySQL (Connector/J) and will eventually be adding SQL Server support (jTDS); it's unlikely that we'll support any other databases. EDIT: See comment below

tomcat 7.0.42 pooling, hibernate 4.2, mysql rock solid autoreconnect solution

倾然丶 夕夏残阳落幕 提交于 2019-12-17 17:52:48
问题 i've read a lot of posts regarding problems with auto reconnecting to mysql from hibernate session. Others mention an increase of mysql wait_timeout (not my favorite), using autoReconnect=true (not recommended), testing connection e.t.c. I am currently trying a few options but i would like to ask if anyone has a rock solid solution using tomcat's connection pooling (not hibernate's c3po). I am looking at the most bullet proof jndi settings even if they are not the best performance tuned.

String Literal address across translation units [duplicate]

梦想与她 提交于 2019-12-17 02:31:55
问题 This question already has answers here : Addresses of two char pointers to different string literals are same (10 answers) Closed 2 years ago . I'd like to ask if is it portable to rely on string literal address across translation units? I.e: A given file foo.c has a reference to a string literal "I'm a literal!" , is it correct and portable to rely that in other given file, bar.c in instance, that the same string literal "I'm a literal!" will have the same memory address ? Considering that

what is the kind of max pooling in this nlp questionhierarchy description

牧云@^-^@ 提交于 2019-12-12 19:11:53
问题 I'm trying to implement this description and that what I did I generated uni_gram & bi_gram & tri_gram of shape(?,15,512) "using padding " & then for each word I concatenate the three feature vector (?,3,512) and then I apply to them Globalmaxpooling1D I do not know if I implemented it well or not so can any one help me ? Q = Input(shape=(15,)) V = Input(shape=(512,196)) word_level = Embedding ( vocab_size , 512 , input_length=max_length)(Q) uni_gram = Conv1D( 512 , kernel_size = 1 ,

Examples of when it is convenient to use Executors.newSingleThreadExecutor()

隐身守侯 提交于 2019-12-12 11:12:39
问题 Could please somebody tell me a real life example where it's convenient to use this factory method rather than others? newSingleThreadExecutor public static ExecutorService newSingleThreadExecutor() Creates an Executor that uses a single worker thread operating off an unbounded queue. (Note however that if this single thread terminates due to a failure during execution prior to shutdown, a new one will take its place if needed to execute subsequent tasks.) Tasks are guaranteed to execute

Database Connections Timing Out (Connection Pooling On Tomcat)

旧巷老猫 提交于 2019-12-12 09:11:01
问题 My dB connections are constantly timing out. I looked through some of the solutions people have offered to this, and have implemented them, but nothing has worked out till now. Any new thoughts, will be very helpful. Problem For some requests to the webapp, this is the error I am getting : com.mysql.jdbc.CommunicationsException: The last packet successfully received from the server was 11,198,881 milliseconds ago. The last packet sent successfully to the server was 11,198,881 milliseconds ago