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What is TorchMetrics?

TorchMetrics offers a collection of over 90 performance metrics tailored for PyTorch, complemented by an intuitive API that enables users to craft custom metrics effortlessly. By providing a standardized interface, it significantly boosts reproducibility and reduces instances of code duplication. Furthermore, this library is well-suited for distributed training scenarios and has been rigorously tested to confirm its dependability. It includes features like automatic batch accumulation and smooth synchronization across various devices, ensuring seamless functionality. You can easily incorporate TorchMetrics into any PyTorch model or leverage it within PyTorch Lightning to gain additional benefits, all while ensuring that your metrics stay aligned with the same device as your data. Moreover, it's possible to log Metric objects directly within Lightning, which helps streamline your code and eliminate unnecessary boilerplate. Similar to torch.nn, most of the metrics are provided in both class and functional formats. The functional versions are simple Python functions that accept torch.tensors as input and return the respective metric as a torch.tensor output. Almost all functional metrics have a corresponding class-based version, allowing users to select the method that best suits their development style and project needs. This flexibility empowers developers to implement metrics in a way that aligns with their unique workflows and preferences. Furthermore, the extensive range of metrics available ensures that users can find the right tools to enhance their model evaluation and performance tracking.

What is Google Cloud Monitoring?

Gain a thorough insight into the performance, availability, and overall condition of your applications and infrastructure. Effortlessly capture real-time metrics across multicloud and hybrid environments to ensure comprehensive oversight. Adopt Site Reliability Engineering (SRE) best practices, as endorsed by Google, with a focus on Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Employ dashboards and graphical representations to visualize data and establish alerts for prompt notifications. Foster collaboration by integrating with platforms such as Slack, PagerDuty, and various incident management tools. Utilize day zero integration specifically engineered for Google Cloud metrics to streamline processes. Cloud Monitoring facilitates this with its automatic and preconfigured dashboards tailored for Google Cloud services, while also supporting hybrid and multicloud monitoring requirements. A robust query language allows you to access metrics, events, and metadata, which aids in pinpointing issues and identifying trends. By establishing service-level objectives, you not only improve user experience but also enhance collaboration between development teams. With a singular service that consolidates metrics, uptime monitoring, dashboards, and alerts, you can reduce time spent navigating multiple systems and optimize operational efficiency. This comprehensive strategy not only elevates the effectiveness of your IT management but also empowers a more proactive approach to resource utilization, ensuring readiness for future challenges.

Media

Media

Integrations Supported

Google Cloud Logging
Google Cloud Platform
Lightning AI
PagerDuty
Parny
PyTorch
Sedai
Slack

Integrations Supported

Google Cloud Logging
Google Cloud Platform
Lightning AI
PagerDuty
Parny
PyTorch
Sedai
Slack

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$0.0610 per MiB
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

TorchMetrics

Company Location

United States

Company Website

torchmetrics.readthedocs.io/en/stable/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/monitoring

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Categories and Features

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Network Monitoring

Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting

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