askjiang
askjiang
### Is there an existing issue for this? - [X] I have searched the existing issues ### What would you like to be added? ``` req := &indexpb.BuildIndexRequest{ DataPaths: segment.field.binlog,...
Product Infos Maven: 3.6.3 IntelliJ Maven Helper plugin: 4.18.212.000.1 IDEA: IntelliJ IDEA 2021.2.3 IDEA-Build: IU-212.5457.46, October 12, 2021 JRE: 11.0.12+7-b1504.40 x86_64 JVM: OpenJDK 64-Bit Server VM JetBrains s.r.o. java.lang.Throwable: Conflicting...
### Is there an existing issue for this? - [X] I have searched the existing issues ### Environment ```markdown - Milvus version: - Deployment mode(standalone or cluster): - SDK version(e.g....
``` dev_percents = [policy.w_disk_percent, policy.w_cpu_percent, policy.w_gpu_percent] dev_choices = [env.disk, env.cpu, env.gpu] sizes = [np.prod(spec[0]) for spec in weight_specs] sizes_cumsum = np.cumsum(sizes) for i in range(len(weight_specs)): mid_percent = (sizes_cumsum[i] - sizes[i]...
``` In PocketFlow, we adopt multi-GPU training to speed-up this time-consuming training process. Our implementation is compatible with: Horovod: a distributed training framework for TensorFlow, Keras, and PyTorch. TF-Plus: an...
### 文档链接&描述 Document Links & Description https://www.paddlepaddle.org.cn/inference/v2.4/guides/nv_gpu_infer/gpu_native_infer.html “请从[下载安装 Ubuntu 推理库](https://paddleinference.paddlepaddle.org.cn/install/download_lib.html#linux)下载 Python whl 包并安装,名称中带有 cuda 的为用于 GPU 的推理库。” 这个链接的网页为空白:  ### 请提出你的建议/提个PR修复这个问题 Please give your suggestion/update a PR to fix it...
### 文档链接&描述 Document Links & Description https://www.paddlepaddle.org.cn/inference/v2.4/guides/x86_cpu_infer/paddle_x86_cpu_int8.html “下载[脚本](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/fluid/contrib/slim/tests/save_quant_model.py)到本地.” 这里的地址和下面的wget地址都是404 ### 请提出你的建议/提个PR修复这个问题 Please give your suggestion/update a PR to fix it _No response_
``` c = Bytecode.from_code(func.__code__) extra_code = [ Instr('STORE_FAST', '_res'), Instr('LOAD_FAST', self.varname), Instr('STORE_FAST', '_value'), Instr('LOAD_FAST', '_res'), Instr('LOAD_FAST', '_value'), Instr('BUILD_TUPLE', 2), Instr('STORE_FAST', '_result_tuple'), Instr('LOAD_FAST', '_result_tuple'), ] c[-1:-1] = extra_code ``` 请教各位大佬,这部分的字节码是啥意思?是怎么得到@get_local值的?
``` 3.2.4. 损失函数和优化器 SGD的更新是对每个样本进行梯度下降,因此计算速度很快,但是单样本更新频繁,会造成震荡;为了解决震荡问题,提出了带有Momentum的SGD,该方法的参数更新不仅仅由梯度决定,也和累计的梯度下降方向有关,使得增加更新梯度下降方向不变的维度,减少更新梯度下降方向改变的维度,从而速度更快也减少震荡。 ``` 这段需要再雕琢下。