import oneflow as flow x = flow.tensor([-1.0, 2.0], device="cuda") y = flow.relu(x) print(y) 系统首先创建了一个在GPU上的输入Tensor,然后调用了导出到python端的c++ functional接口relu。这里涉及到pybind11绑定相关的Python wrapper和C++ relu
因为Wide & Deep模型的训练和预测,运算还是比较多,比较费时,用在大规模物品的召回阶段,性能开销有点吃不消。 只有当召回层的数据,已经从几百万到几百以后,可以通过为Wide & Deep模型对召回的百级别的物品进行排序,得到前top N(N=20)。 七. 总结 Wide & Deep模型被用在了排序层。成wide和deep两部分。 * ...
Session用来执行Graph里规定的计算,就好像给一个个门电路通上电,我们在Session里,给计算单元冲上数据,That’s Flow. 重复计算单元反复训练800次,提高其准确度 为了快速查看训练效果,每轮训练只给10000个训练数据(subset),恩,每次都是相同的训练数据 将计算单元graph传给session 初始化参数 传给session优化器 - trai...
Tensor2Tensor, orT2Tfor short, is a library of deep learning models and datasets designed to make deep learning more accessible andaccelerate ML research. T2T was developed by researchers and engineers in theGoogle Brain teamand a community of users. It is now deprecated — we keep it running...
Figure 4. Flow of word sequences through an Embedding and LSTM layers 4.2 GRU Having gone through in some detail over the LSTM cell, we can breeze through the GRU cell as the ideas are similar. The image is all we need to determine how many parameters it adds to the model. Figure ...
In this article, we observed the basics of Tensors and what do these do in a computational graph. The actual objective for creating this is to make Tensors flow through the graph. We write the tensors and through sessions we make them flow. ...
Fast Decoding in Sequence Models using Discrete Latent Variables Adafactor: Adaptive Learning Rates with Sublinear Memory Cost Universal Transformers Attending to Mathematical Language with Transformers The Evolved Transformer Model-Based Reinforcement Learning for Atari VideoFlow: A Flow-Based Generative Model ...
所谓Tensorflow,正是由Tensor(张量)+Flow(流动)两个英文单词组成的,TensorFlow 的计算图的每个节点的输入输出都是 Tensor,而连接节点的有向线段就是 Flow,表示从一个 Tensor 状态到另一个 Tensor 状态。在深度学习中,Tensor实际是一个多维数组,如果有足够的高等数学和线性代数的知识,就能够很好地理解这一点。它的...
For operator implementation and optimization, the compiler-based data-flow generator and the instruction macro generator first produce a set of parameterized operators. Then, the tuner-configuration generator prunes the search space and the distributed tuner framework selects the best data-flow pattern ...
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