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问题 I'm trying to build a custom keras model whith the subclassing API but I get some errors when I load a previous instance of my model and I try to train it : Here is the class of my model, it has 3 inputs and 1 output : import tensorflow as tf spec1 = tf.TensorSpec(shape=(1,40,5,1)) spec2 = tf.TensorSpec(shape=(1,3)) class Conv_Rnn_model(tf.keras.Model): def __init__(self): # super() permet d'appeler le constructeur de la classe mère dans la classe fille # permet égalemet de résoudre le

问题 I'm wondering if its possible to write a javascript program and have it compiled and linked into an executable? If so would it be possible to create a libjs that would be the equivalent of libc for the c/c++ world? wouldn't creating something like this make javascript a full fledged language that could then be compiled and run directly on the target hardware? If you had a compiler for javascript, couldn't you write a new compiler in javascript? 回答1: Yes, you could write a js compiler. Not

问题 I have an adapter and a spinner view which is set to use the adapter for it's entries. I'm adding items to adapter from a list of all files in /assets/ folder, I found that this task takes very long time (even about 2 seconds for a list of 2 files on a 1.5Ghz phone!). Then I came up to use a worker thread to gather my list and not block UI thread. here is my code: @Override public void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.settings);

问题 Let's say I have this Kanji "亜" which is represented in JIS X 208 code in hex form: 0x3021. I want my Python program to convert that code into its UTF-8 form E4BA9C so that I can pass that string (URL-encoded) into my url like this http://jisho.org/api/v1/search/words?keyword=%E4%BA%9C I'm using Python 2.7.12 but I'm open to Python 3 solution as well 回答1: These are accessed under ISO 2022 codec. >>> '亜'.encode('iso2022_jp') b'\x1b$B0!\x1b(B' If I saw those bytes not framed by the escape

问题 I'm trying to build a custom keras model whith the subclassing API but I get some errors when I load a previous instance of my model and I try to train it : Here is the class of my model, it has 3 inputs and 1 output : import tensorflow as tf spec1 = tf.TensorSpec(shape=(1,40,5,1)) spec2 = tf.TensorSpec(shape=(1,3)) class Conv_Rnn_model(tf.keras.Model): def __init__(self): # super() permet d'appeler le constructeur de la classe mère dans la classe fille # permet égalemet de résoudre le

问题 I have tried to link boost in my CMakeList file by set(Boost_USE_STATIC_LIBS OFF) set(Boost_USE_MULTITHREADED ON) set(Boost_USE_STATIC_RUNTIME OFF) set(Boost_NO_SYSTEM_PATHS TRUE) set(Boost_INCLUDE_DIR /user/software/boost/boost-1.69-x86_64-cc7/include) set(Boost_LIBRARY_DIR /user/software/boost/boost-1.69-x86_64-cc7/lib) find_package(Boost 1.54 REQUIRED COMPONENTS filesystem program_options system) and i get the following warning when doing cmake CMake Warning at /user/software/cmake/cmake-3

问题 I am developing a Spring Batch App - How to understand or write code for ? Identify which chunk has failed in chunk based step? How to identify if reader query taking how much time? 回答1: Identify which chunk has failed in chunk based step? A ChunkListener allows you to achieve that. The method afterChunkError will be called when an error occurs in a given chunk How to identify if reader query taking how much time? It depends on the reader. ItemReadListener is called around each read operation

问题 Is there any documentation for the Spotify Web API as to which characters are valid when searching? For example "Macklemore & Ryan Lewis" needs the & to be url encoded in order for the request to work. The character ":" is completely invalid it seems. In order to search for an album like "Pink Friday: Roman Reloaded", I have to remove the : completely from the String. Even URL encoding it doesn't work. This probably was to do with the fact that : seems to be used to separate the fields of the

问题 I'm using Jmeter to test multiple microservice. The basic idea is to test a circuit breaker in a microservice environment. Right now, I'm using two threadgroups, a master and slave remote concept. One thread group creates uses 100 iterations and 1000 thread and creates load against a front-end service, which sends request to a backend service. The other group probes the backend service with 100 iterations but 1 thread. If I’m not wrong the second threadgroup finishes way more early than the

问题 I have a bit question i couldnt solve. I wanna implement CNN model with fully-connected MLP to my protein database which has 2589 proteins. Each protein has 1287 rows and 69 columns as input and and 1287 rows and 8 columns as output. Actually there was 1287x1 output, but i used one hot encoding for class labels to use crossentropy loss in my model. Also i want if we consider as image i have an 3d matrix ** X_train = (2589, 1287, 69) for input** and y_train =(2589, 1287, 8) output , i mean