embedding

问题 Is it possible to embed a custom binary file inside a C# class library and then at runtime read it with a binary reader? I'm guessing it might be possible through resources. Many thanks 回答1: You can do this by adding the file to the Resources through the project properties. Visual studio will then give you a handy class to access your file using the following code byte[] theFile = myNamespace.Properties.Resources.theBinaryFile; Where the resource name is theBinaryFile. 回答2: Yes it is easy:

问题 I am running a model with a very big word embedding (>2M words). When I use tf.embedding_lookup, it expects the matrix, which is big. When I run, I subsequently get out of GPU memory error. If I reduce the size of the embedding, everything works fine. Is there a way to deal with larger embedding? 回答1: The recommended way is to use a partitioner to shard this large tensor across several parts: embedding = tf.get_variable("embedding", [1000000000, 20], partitioner=tf.fixed_size_partitioner(3))

问题 We have tried using tf.nn.embedding_lookup and it works. But it needs dense input data and now we need tf.nn.embedding_lookup_sparse for sparse input. I have written the following code but get some errors. import tensorflow as tf import numpy as np example1 = tf.SparseTensor(indices=[[4], [7]], values=[1, 1], shape=[10]) example2 = tf.SparseTensor(indices=[[3], [6], [9]], values=[1, 1, 1], shape=[10]) vocabulary_size = 10 embedding_size = 1 var = np.array([0.0, 1.0, 4.0, 9.0, 16.0, 25.0, 36.0

问题 I am having an issue declaring my model. My inputs are x_input and y_input, and my outputs are predictions. As follows: model = Model(inputs = [x_input, y_input], outputs = predictions ) My inputs (x,y) are both embedded, then MatMult together. As follows: # Build X Branch x_input = Input(shape = (maxlen_x,), dtype = 'int32' ) x_embed = Embedding( maxvocab_x + 1, 16, input_length = maxlen_x ) XE = x_embed(x_input) # Result: Tensor("embedding_1/Gather:0", shape=(?, 31, 16), dtype=float32) #

问题 I want to compose a type of another type, but replace one of the fields (which is an interface value) with a fake. The problem I am getting is the underlying field is being used, so I can't seem to override the field. I've demoed the problem here: https://play.golang.org/p/lHGnyjzIS-Y package main import ( "fmt" ) type Printer interface { Print() } type PrinterService struct {} func (ps PrinterService) Print() { fmt.Println("PrinterService") } type Service struct { Client PrinterService }

问题 When I want to embed a struct within another struct, should I use a pointer or value? For example type Job struct { Command string *log.Logger } or type Job struct { Command string log.Logger } 回答1: You can use one or the other: for struct type, the spec mentions: A field declared with a type but no explicit field name is an anonymous field, also called an embedded field or an embedding of the type in the struct. An embedded type must be specified as a type name T or as a pointer to a non

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 3 years ago . I am looking to embed Lua into my C# application and i thought there was a wrapper around the lua API for C#, but don't remember what it is. Can someone point me in it's direction? 回答1: I believe LuaInterface is the most popular one for C#. If I'm wrong, I'm sure someone will correct me. There's a little more

问题 I'm working on a server app that may be extended by user-supplied Groovy scripts. It's evident that I want to make sure these scripts run in a very tight sandbox where they cannot disrupt the core application code or consume too much resources to overload the server. I have studied various possibilities and the final solution may be a combination of these: Run the script within a very restricted security manager . The script is run within a no permission SecurityManager. Additional

问题 EDIT: I have asked an opposing question here: How to embed Python3 with the standard library A solution for Python2 is provided here: Is it possible to embed python without the standard library? However, Python3 fails on Py_Initialize(); with: Fatal Python error: Py_Initialize: unable to load the file system codec ImportError: No module named 'encodings' This makes sense because py3 source files are utf-8 by default. So it seems that it requires an external binary just in order to parse py3

问题 I've a question regarding embedding python into a C++ application. The setup is as follows: I have a large C++ application which generates some data (renders images in real-time) and displays them. I have also trained a neural network in python using tensorflow which will accept these images. My idea was to embed python and send data as a numpy array, predict using the neural network and get back another processed numpy array to display (in C++). I've made some basic tests without tensorflow