2025-01-16T03:37:51,820 WARN [qtp1302132509-131[segmentMetadata_[realtimeqoe_log_count]_1619e80c-0b39-4e9b-9e94-cc2e643eabdc]] org.apache.druid.segment.realtime.appenderator.SinkQuerySegmentWalker - Missing chunk for descriptor[SegmentDescriptor{interval=2025-01-16T03:00:00.000Z/2025-01-1...
Conv2dObserver中就会有in_mask和out_mask两个参数,就是分别在训练的前向传播和后向传播中计算channels轴的和,最后为0则说明该轴已经被prune了: def _forward_hook(self, m, _in, _out): x= _in[0] self.in_mask+= x.data.abs().sum(2, keepdim=True).sum(3, keepdim=True).cpu().sum(0, ...
for chunk in df: df2 = df2.append(chunk.iloc[0,:]) # solution 2: use chunks and list comprehension df = pd.read_csv('https://raw.githubusercontent.com/selva86/datasets/master/bostonhousing.csv', chunksize=50) df2 = pd.concat([chunk.iloc[0] for chunk in df], axis=1) df2 = ...
iflangchain: pload["langchain"] = langchain response = requests.post(host, headers=headers, json=pload, stream=use_stream_chat)returnresponsedefget_streaming_response(response: requests.Response) -> Iterable[List[str]]:forchunkinresponse.iter_lines(chunk_size=8192, decode_unicode=False, ...
iflangchain: pload["langchain"] = langchain response = requests.post(host, headers=headers, json=pload, stream=use_stream_chat)returnresponsedefget_streaming_response(response: requests.Response) -> Iterable[List[str]]:forchunkinresponse.iter_lines(chunk_size=8192, decode_unicode=False, ...
* @param {Array<any>} array an array * @param {number} chunkSize size of one chunk */ ...
wrapattr(open(os.devnull, "wb"), "write", miniters=1, desc=eg_link.split('/')[-1], total=getattr(response, 'length', None)) as fout: for chunk in response: fout.write(chunk)The requests equivalent is nearly identical:import requests, os from tqdm import tqdm eg_link = "https...
(data.length - offset, chunkSize); // select the chunk in the byte array byte[] subArray = Arrays.copyOfRange(data, offset, (int) (offset + chunkSize)); // upload the chunk fileClient.uploadWithResponse(new ByteArrayInputStream(subArray), chunkSize, (long) offset, null, Context.NONE);...
for chunk in iterable: File “C:\Program Files\Python\Python310\lib\json\encoder.py”, line 431, in _iterencode yield from _iterencode_dict(o, _current_indent_level) File “C:\Program Files\Python\Python310\lib\json\encoder.py”, line 405, in _iterencode_dict ...
config server(配置服务器):存储了集群的元信息,包括每一个shard、一个shard里的server、以及每一个chunk的基本信息。其中主要是chunk的信息,每个configserver中都有一份所有chunk信息的完全拷贝。使用两阶段提交协议来保证配置信息在configserver间的一致。mongos:可以认为是一个“数据库路由器”,用以协调集群的各个部分...