What is the translation of " TENSOR " in English?

• tensor
• tensors

Examples of using Tensor in Chinese and their translations into English

Tensorflow等深度学习框架。
A deep learning framework, such as TensorFlow.

然而，和Tensor不一样，它们的值是可变的。
Unlike Tensors, however, their values are mutable.

TensorFlow用Tensor这种数据结构来表示所有的数据。
TensorFlow program uses a tensor data structure to represent all data.

Variables是由tensor的值来初始化的。
Variables are initialized with a tensor of values.

String_tensor:一个string类型的Tensor。
String_tensor: A Tensor of type string.

Data：有数据的Tensor,将在输出中组合.
Data: A Tensor with data that will be assembled in the output.

除了TensorFlower之外，我们还发布了deeplearn.
In addition to TensorFlow, we released deeplearn.

但是，可以将任意数据结构序列化为string并将其存储在tf.Tensor中。
It is possible, however, to serialize arbitrary data structures as strings and store those in tf. Tensors.

TensorFlow程序使用tensor数据结构来代表所有的数据。
TensorFlow program uses a tensor data structure to represent all data.

Batch_first-如果为True,那么输入和输出Tensor的形状为(batch,seq,feature).
Batch_first- If True, then the input and output tensors are provided as(batch, seq, feature).

每个Tensor对象都有唯一的标签（名称）、维度（形状）以及数据类型（dtype）。
Each tensor object is defined with a unique label(name), a dimension(shape) and a data type(dtype).

H_0(batch,hidden_size):包含batch中每个元素的初始化隐状态的tensor.
H_0 of shape(batch, hidden_size): tensor containing the initial hidden state for each element in the batch.

由于Tensor是不可改变的，这些Op不会改变它们的值，而会返回新的Tensor。
Because tensors are immutable, these ops do not change their values; instead, ops return new tensors.

谷歌为数据中心设计了自己的人工智能培训和推理芯片，称为TPU，TensorProcessingUnits。
(Google also designs its own AI training and inference chips for data centers, called Tensor Processing Units.).

而且，由于Tensor核心的AA改进，我们看到不支持DLSS的游戏增加了20-40％。
And, thanks to the AA improvements in the Tensor cores, we're seeing about a 20-40% increase in games that don't support DLSS.

提供高级调试支持，而TensorFlow也有一个指令可以直接打印tf.Tensor的值。
While tfdbg provides advanced debugging support, TensorFlow also has an operation to directly print the value of a tf. Tensor.

Constant(12)Tensor对象将把所有数学运算转化为张量运算，因此所有返回值皆将为张量。
Constant(12) Tensor object will promote all math operations to tensor operations, and as such all return values with be tensors.

本课程将指导您如何使用Google的TensorFlow框架来创建用于深度学习的人工神经网络。
This course will guide you through how to use Google's Tensor Flow framework to create artificial neural networks for deep learning.

TeslaV100拥有640个Tensor内核，是世界上第一个突破100万亿次(TFLOPS)深度学习性能障碍的GPU。
With 640 Tensor Cores, Tesla V100 is the world's first GPU to break the 100 teraflops(TFLOPS) barrier of deep learning performance.

这款GPU基于Nvidia的Volta架构，使用了Nvidia称之为TensorCores的新型核心技术。
The new GPU is based on Nvidia's Volta architecture, which takes advantage of a new type of core technology that Nvidia calls Tensor Cores.

Pichai开始讲述TensorProcessingUnits，其在人工智能处理上比CPU和GPU表现更优异。
Pichai began to talk about Tensor Processing Units, which are superior to CPU and GPU performance in artificial intelligence processing.

TensorTensorFlow程序使用tensor数据结构来代表所有的数据,计算图中,操作间传递的数据都是tensor.
TensorFlow programs use the tensor data structure to represent all data only tensors are passed between operations in the computation graph.

引导您充分利用TensorFlow框架的完整指南，同时向您展示深度学习中的最新技术。
It serves as a complete guide to using the Tensor Flow framework as intended, while showing you the latest techniques available in deep learning.

Feeding是TensorFlowSessionAPI的一种机制，它允许你在运行时用不同的值替换一个或多个tensor的值。
Feeding is a mechanism in the tf. Session API that allows you to substitute different values for one or more tensors at run time.

如果要实现这一目标，苹果的战略将跟竞争厂商推出的芯片类似，包括谷歌和TensorProcessingUnit。
If it comes to fruition, the strategy would be similar to chips introduced by competing manufacturers, including Google and its Tensor Processing Unit.

神经网络中大量使用了同类型的运算，可以使用GPU和Googles自身的TPU（TensorProcessingUnit）对这样的运算进行优化。
These networks use a lot of the same type of arithmetic, which can be optimised using GPUs and Googles own Tensor Processing Unit(TPU).

新系统从配备NVIDIAV100TensorCoreGPU的高性能服务器和深度学习软件开始，以训练多种AI算法。
The new system starts with high-performance servers powered by NVIDIA V100 Tensor Core GPUs and deep learning software to train multiple AI algorithms.

今年6月，Google还宣布人工智能开发人员可以按小时租用GoogleCloud的TPU或TensorProcessingUnit芯片。
In June, Google also announced that artificial intelligence developers would be able to rent Google Cloud's TPU or Tensor Processing Unit chips by the hour.

但是Google也提供了独特的硬件，包括Tensor处理单元(TensorProcessingUnit，TPU)、Kaggle众包以及一系列其他产品。
But Google also offers unique hardware, with the Tensor Processing Unit(TPU), crowdsourcing with Kaggle, and a range of other offerings.

TITANRTX提供多倍精度TuringTensorCore，可实现FP32、FP16、INT8和INT4的突破性能，从而提高神经网络的训练和推理速度。
Titan RTX provides multi-precision Turing Tensor Cores for breakthrough performance from FP32, FP16, INT8 and INT4, allowing faster training and inference of neural networks.