CodeProject.AI Discussions

Server version:   2.6.2
System:           Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs:             Intel(R) Core(TM) i5-7500 CPU @ 3.40GHz (Intel)
                  1 CPU x 4 cores. 4 logical processors (x64)
GPU (Primary):    Intel(R) HD Graphics 630 (1,024 MiB) (Intel Corporation) 
                  Driver: 31.0.101.2111
System RAM:       16 GiB
Platform:         Windows
BuildConfig:      Release
Execution Env:    Native
Runtime Env:      Production
Runtimes installed:
  .NET runtime:     7.0.5
  .NET SDK:         Not found
  Default Python:   Not found
  Go:               Not found
  NodeJS:           Not found
  Rust:             Not found
Video adapter info:
  Intel(R) HD Graphics 630:
    Driver Version     31.0.101.2111
    Video Processor    Intel(R) HD Graphics Family
System GPU info:
  GPU 3D Usage       0%
  GPU RAM Usage      0
Global Environment variables:
  CPAI_APPROOTPATH = <root>
  CPAI_PORT        = 32168

Server version:   2.6.2
System:           Windows
Operating System: Windows (Microsoft Windows 10.0.19045)
CPUs:             Intel(R) Core(TM) i5-8259U CPU @ 2.30GHz (Intel)
                  1 CPU x 4 cores. 8 logical processors (x64)
GPU (Primary):    Intel(R) Iris(R) Plus Graphics 655 (1,024 MiB) (Intel Corporation) 
                  Driver: 31.0.101.2127
System RAM:       16 GiB
Platform:         Windows
BuildConfig:      Release
Execution Env:    Native
Runtime Env:      Production
Runtimes installed:
  .NET runtime:     7.0.7
  .NET SDK:         Not found
  Default Python:   3.10.7
  Go:               Not found
  NodeJS:           12.16.3
  Rust:             Not found
Video adapter info:
  Intel(R) Iris(R) Plus Graphics 655:
    Driver Version     31.0.101.2127
    Video Processor    Intel(R) Iris(R) Plus Graphics Family
System GPU info:
  GPU 3D Usage       0%
  GPU RAM Usage      0
Global Environment variables:
  CPAI_APPROOTPATH = <root>
  CPAI_PORT        = 32168

/// Gets or sets a value indicating whether this process should enable GPU functionality
/// when running. This doesn't direct that a GPU must be used, but instead alerts that app
/// that it should enable GPUs if possible. Setting this to false means "even if you can
/// use a GPU, don't". Great for working around GPU issues that would sink the ship.
public bool? EnableGPU { get; set; } = true;

Quote:

One thing to keep in mind is that if you're using Task Manager to monitor GPU usage, it can sometimes be misleading because the default Task Manager GPU usage graph looks for 3D workloads which are different from compute workloads like tensorflow-directml

• what version of the server you're using
• on which module you're seeing the error
• The actual error (screen shot would be good)
• Have you tested the image that's throwing the 500 using the CodeProject.AI Explorer. It uses the same API as Blue Iris

Server version:   2.5.1
System:           Docker
Operating System: Linux (Linux 6.6.20-production+truenas #1 SMP PREEMPT_DYNAMIC Tue Apr 23 01:22:22 UTC 2024)
CPUs:             Intel(R) Xeon(R) CPU E5-2430 0 @ 2.20GHz (Intel)
                  2 CPUs x 6 cores. 12 logical processors (x64)
System RAM:       31 GiB
Platform:         Linux
BuildConfig:      Release
Execution Env:    Docker
Runtime Env:      Production
.NET framework:   .NET 7.0.15
Default Python:   3.10
Video adapter info:
System GPU info:
  GPU 3D Usage       0%
  GPU RAM Usage      0
Global Environment variables:
  CPAI_APPROOTPATH = <root>
  CPAI_PORT        = 32168