FloatTensor *Assume 't' is a tensor Autograd • Autograd • Automatic Differentiation Package • Don’t need to worry about partial differentiation, chain rule etc.. • backward() does that • loss.backward()

scalar value within the computation graph. It supports basic arith- metic operations with automatic differentiation, enabling effi- cient gradient computation. The class also implements back- propagation

Python. ● Two main features: ○ N-dimensional Tensor computation (like NumPy) on GPUs ○ Automatic differentiation for training deep neural networks Training Neural Networks Training Define Neural Network

Functionality can be easily extended with common Python libraries such as NumPy, SciPy, and Cython. Automatic differentiation is done with a tape-based system at both a functional and neural network layer level. This includes a collection of highly optimized modules for popular Transformer architectures and an automatic mixed precision-like API that can be used seamlessly with your PyTorch code. ‣ A preview of Torch-TensorRT commit 9130ab38 from July 31, 2019 as well as a cherry- picked TensorRT 5.1.5 Automatic Mixed Precision (AMP) Automatic Mixed Precision (AMP) for PyTorch is available in this container through the native

capabilities over other popular distributed ledger or blockchain platforms. One key point of differentiation is that Hyperledger was established under the Linux Foundation, which itself has a long and very However, consensus encompasses more than simply agreeing upon the order of transactions, and this differentiation is highlighted in Hyperledger Fabric through its fundamental role in the entire transaction flow Root CA needs of Fabric, it is inherently not capable of providing SSL certificates for general/automatic use in browsers. However, because some CA must be used to manage identity (even in a test environment)

capabilities over other popular distributed ledger or blockchain platforms. One key point of differentiation is that Hyperledger was established under the Linux Foundation, which itself has a long and very However, consensus encompasses more than simply agreeing upon the order of transactions, and this differentiation is highlighted in Hyperledger Fabric through its fundamental role in the entire transaction flow Root CA needs of Fabric, it is inherently not capable of providing SSL certificates for general/automatic use in browsers. However, because some CA must be used to manage identity (even in a test environment)

capabilities over other popular distributed ledger or blockchain platforms. One key point of differentiation is that Hyperledger was established under the Linux Foundation, which itself has a long and very However, consensus encompasses more than simply agreeing upon the order of transactions, and this differentiation is highlighted in Hyperledger Fabric through its fundamental role in the entire transaction flow Root CA needs of Fabric, it is inherently not capable of providing SSL certificates for general/automatic use in browsers. However, because some CA must be used to manage identity (even in a test environment)

capabilities over other popular distributed ledger or blockchain platforms. One key point of differentiation is that Hyperledger was established under the Linux Foundation, which itself has a long and very However, consensus encompasses more than simply agreeing upon the order of transactions, and this differentiation is highlighted in Hyperledger Fabric through its fundamental role in the entire transaction flow Root CA needs of Fabric, it is inherently not capable of providing SSL certificates for general/automatic use in browsers. However, because some CA must be used to manage identity (even in a test environment)

TypeScript Supports variant project structures and environments Supports Abundant Database Type Automatic Updating ThinkJS has a mechanism that could automatically update codes after source files being solution. It’s convinient because of the encapsulation of databases, REST APIs and security features. Automatic REST API Creation Supports multiple WebSocket libraries Plentiful Test Cases Supports CLI to configuration, such as db.js is the database configuration, redis is redis configuration. Differentiation configuration in different project environment, such as env/development.js , env/testing.js

Supports variant project structures and environments Supports abundant database type Automatic updating Automatic REST API creation Supports multiple WebSocket libraries ThinkJS supports some common configuration, such as db.js is the database configuration, redis is redis configuration. Differentiation configuration in different project environment, such as env/development.js , env/testing.js