a-whitej

got the wrong html content which is not same as original content

1

from pyquery import PyQuery as pq from lxml import etree import urllib2 url_location='http://v.163.com/special/opencourse/machinelearning.html' # d = pq(url=url_location) response = urllib2.urlopen(url_location) html = response.read() d = pq(html) print d.html() We got...

GPU上无法运行

2

（1）GPU版本 torch 1.5.0+cu101 torch-geometric 1.3.2 torchfile 0.1.0 torchvision 0.6.0+cu101 （2） 尝试修改后，报错，只能用cpu上运行 #inp = Variable(inp, requires_grad=True) inp = inp.to(device) # inference preds = model(inp).cpu() #with torch.no_grad(): # preds = model(inp) （3）错误信息...

No such layer: conv5_block3_2_relu

1

tried to run Attention_in_Image_Captioning: File "E:\Anaconda3\lib\site-packages\tensorflow\python\keras\_impl\keras\engine\network.py", line 433, in get_layer raise ValueError('No such layer: ' + name) ValueError: No such layer: conv5_block3_2_relu Exception ignored in: Traceback (most recent call last):...

cannot support mutil-dimension data computation

1

It seems it only support 1-dimension computation, and how to support mutil-dimension data computation.

example failure on run

1

(1) $hadoop version Hadoop 0.20.203.0 $hadoop jar mlease-1.0-jar-with-dependencies.jar com.linkedin.mlease.regression.jobs.Regression sample-config.job Exception in thread "main" java.lang.NoSuchMethodError: org.codehaus.jackson.JsonFactory.enable(Lorg/codehaus/jackson/JsonParser$Feature;)Lorg/codehaus/jackson/JsonFactory; at org.apache.avro.Schema.(Schema.java:86) at org.apache.avro.generic.GenericData.(GenericData.java:901) at org.apache.avro.generic.GenericDatumReader.(GenericDatumReader.java:49) at com.linkedin.mapred.AvroUtils.getSchemaFromFile(AvroUtils.java:143) at com.linkedin.mapred.AvroUtils.getAvroInputSchema(AvroUtils.java:204) at com.linkedin.mapred.AbstractAvroJob.createJobConf(AbstractAvroJob.java:283) at com.linkedin.mlease.regression.jobs.Regression.run(Regression.java:41)...

TypeError: slice indices must be integers or None or have an __index__ method

6

Traceback (most recent call last): File "forward.py", line 134, in main() File "forward.py", line 98, in main means = get_mean_npy(mean_file, crop_size = batch_shape[2:], isColor = is_color) File "forward.py", line 20,...