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azure-mgmt-weightsandbiases-dotnet

Azure Weights & Biases SDK for .NET. ML experiment tracking and model management via Azure Marketplace. Use for creating W&B instances, managing SSO, marketplace integration, and ML observability. Triggers: "Weights and Biases", "W&B", "WeightsAndBiases", "ML experiment tracking"

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Install

skills CLI npx skills add https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-dotnet/skills/azure-mgmt-weightsandbiases-dotnet
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install microsoft-skills@llmmart
Git git clone https://github.com/microsoft/skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole microsoft/skills collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Azure.ResourceManager.WeightsAndBiases (.NET)

Azure Resource Manager SDK for deploying and managing Weights & Biases ML experiment tracking instances via Azure Marketplace.

Installation

dotnet add package Azure.ResourceManager.WeightsAndBiases --prerelease
dotnet add package Azure.Identity

Current Version: v1.0.0-beta.1 (preview)
API Version: 2024-09-18-preview

Environment Variables

AZURE_SUBSCRIPTION_ID=<your-subscription-id> # Required: Azure subscription ID
AZURE_RESOURCE_GROUP=<your-resource-group> # Required: Azure resource group name
AZURE_WANDB_INSTANCE_NAME=<your-wandb-instance> # Required: Weights & Biases instance name
AZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production

Authentication

using Azure.Identity;
using Azure.ResourceManager;
using Azure.ResourceManager.WeightsAndBiases;

// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
var credential = new DefaultAzureCredential(
    DefaultAzureCredential.DefaultEnvironmentVariableName
);
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/dotnet/api/overview/azure/identity-readme?view=azure-dotnet#credential-classes
// var credential = new ManagedIdentityCredential();
ArmClient client = new ArmClient(credential);

Resource Hierarchy

Subscription
└── ResourceGroup
    └── WeightsAndBiasesInstance    # W&B deployment from Azure Marketplace
        ├── Properties
        │   ├── Marketplace          # Offer details, plan, publisher
        │   ├── User                 # Admin user info
        │   ├── PartnerProperties    # W&B-specific config (region, subdomain)
        │   └── SingleSignOnPropertiesV2  # Entra ID SSO configuration
        └── Identity                 # Managed identity (optional)

Core Workflows

1. Create Weights & Biases Instance

using Azure.ResourceManager.WeightsAndBiases;
using Azure.ResourceManager.WeightsAndBiases.Models;

ResourceGroupResource resourceGroup = await client
    .GetDefaultSubscriptionAsync()
    .Result
    .GetResourceGroupAsync("my-resource-group");

WeightsAndBiasesInstanceCollection instances = resourceGroup.GetWeightsAndBiasesInstances();

WeightsAndBiasesInstanceData data = new WeightsAndBiasesInstanceData(AzureLocation.EastUS)
{
    Properties = new WeightsAndBiasesInstanceProperties
    {
        // Marketplace configuration
        Marketplace = new WeightsAndBiasesMarketplaceDetails
        {
            SubscriptionId = "<marketplace-subscription-id>",
            OfferDetails = new WeightsAndBiasesOfferDetails
            {
                PublisherId = "wandb",
                OfferId = "wandb-pay-as-you-go",
                PlanId = "wandb-payg",
                PlanName = "Pay As You Go",
                TermId = "monthly",
                TermUnit = "P1M"
            }
        },
        // Admin user
        User = new WeightsAndBiasesUserDetails
        {
            FirstName = "Admin",
            LastName = "User",
            EmailAddress = "admin@example.com",
            Upn = "admin@example.com"
        },
        // W&B-specific configuration
        PartnerProperties = new WeightsAndBiasesPartnerProperties
        {
            Region = WeightsAndBiasesRegion.EastUS,
            Subdomain = "my-company-wandb"
        }
    },
    // Optional: Enable managed identity
    Identity = new ManagedServiceIdentity(ManagedServiceIdentityType.SystemAssigned)
};

ArmOperation<WeightsAndBiasesInstanceResource> operation = await instances
    .CreateOrUpdateAsync(WaitUntil.Completed, "my-wandb-instance", data);

WeightsAndBiasesInstanceResource instance = operation.Value;

Console.WriteLine($"W&B Instance created: {instance.Data.Name}");
Console.WriteLine($"Provisioning state: {instance.Data.Properties.ProvisioningState}");

2. Get Existing Instance

WeightsAndBiasesInstanceResource instance = await resourceGroup
    .GetWeightsAndBiasesInstanceAsync("my-wandb-instance");

Console.WriteLine($"Instance: {instance.Data.Name}");
Console.WriteLine($"Location: {instance.Data.Location}");
Console.WriteLine($"State: {instance.Data.Properties.ProvisioningState}");

if (instance.Data.Properties.PartnerProperties != null)
{
    Console.WriteLine($"Region: {instance.Data.Properties.PartnerProperties.Region}");
    Console.WriteLine($"Subdomain: {instance.Data.Properties.PartnerProperties.Subdomain}");
}

3. List All Instances

// List in resource group
await foreach (WeightsAndBiasesInstanceResource instance in 
    resourceGroup.GetWeightsAndBiasesInstances())
{
    Console.WriteLine($"Instance: {instance.Data.Name}");
    Console.WriteLine($"  Location: {instance.Data.Location}");
    Console.WriteLine($"  State: {instance.Data.Properties.ProvisioningState}");
}

// List in subscription
SubscriptionResource subscription = await client.GetDefaultSubscriptionAsync();
await foreach (WeightsAndBiasesInstanceResource instance in 
    subscription.GetWeightsAndBiasesInstancesAsync())
{
    Console.WriteLine($"{instance.Data.Name} in {instance.Id.ResourceGroupName}");
}

4. Configure Single Sign-On (SSO)

WeightsAndBiasesInstanceResource instance = await resourceGroup
    .GetWeightsAndBiasesInstanceAsync("my-wandb-instance");

// Update with SSO configuration
WeightsAndBiasesInstanceData updateData = instance.Data;

updateData.Properties.SingleSignOnPropertiesV2 = new WeightsAndBiasSingleSignOnPropertiesV2
{
    Type = WeightsAndBiasSingleSignOnType.Saml,
    State = WeightsAndBiasSingleSignOnState.Enable,
    EnterpriseAppId = "<entra-app-id>",
    AadDomains = { "example.com", "contoso.com" }
};

ArmOperation<WeightsAndBiasesInstanceResource> operation = await resourceGroup
    .GetWeightsAndBiasesInstances()
    .CreateOrUpdateAsync(WaitUntil.Completed, "my-wandb-instance", updateData);

5. Update Instance

WeightsAndBiasesInstanceResource instance = await resourceGroup
    .GetWeightsAndBiasesInstanceAsync("my-wandb-instance");

// Update tags
WeightsAndBiasesInstancePatch patch = new WeightsAndBiasesInstancePatch
{
    Tags =
    {
        { "environment", "production" },
        { "team", "ml-platform" },
        { "costCenter", "CC-ML-001" }
    }
};

instance = await instance.UpdateAsync(patch);
Console.WriteLine($"Updated instance: {instance.Data.Name}");

6. Delete Instance

WeightsAndBiasesInstanceResource instance = await resourceGroup
    .GetWeightsAndBiasesInstanceAsync("my-wandb-instance");

await instance.DeleteAsync(WaitUntil.Completed);
Console.WriteLine("Instance deleted");

7. Check Resource Name Availability

// Check if name is available before creating
// (Implement via direct ARM call if SDK doesn't expose this)
try
{
    await resourceGroup.GetWeightsAndBiasesInstanceAsync("desired-name");
    Console.WriteLine("Name is already taken");
}
catch (RequestFailedException ex) when (ex.Status == 404)
{
    Console.WriteLine("Name is available");
}

Key Types Reference

Type Purpose
WeightsAndBiasesInstanceResource W&B instance resource
WeightsAndBiasesInstanceData Instance configuration data
WeightsAndBiasesInstanceCollection Collection of instances
WeightsAndBiasesInstanceProperties Instance properties
WeightsAndBiasesMarketplaceDetails Marketplace subscription info
WeightsAndBiasesOfferDetails Marketplace offer details
WeightsAndBiasesUserDetails Admin user information
WeightsAndBiasesPartnerProperties W&B-specific configuration
WeightsAndBiasSingleSignOnPropertiesV2 SSO configuration
WeightsAndBiasesInstancePatch Patch for updates
WeightsAndBiasesRegion Supported regions enum

Available Regions

Region Enum Azure Region
WeightsAndBiasesRegion.EastUS East US
WeightsAndBiasesRegion.CentralUS Central US
WeightsAndBiasesRegion.WestUS West US
WeightsAndBiasesRegion.WestEurope West Europe
WeightsAndBiasesRegion.JapanEast Japan East
WeightsAndBiasesRegion.KoreaCentral Korea Central

Marketplace Offer Details

For Azure Marketplace integration:

Property Value
Publisher ID wandb
Offer ID wandb-pay-as-you-go
Plan ID wandb-payg (Pay As You Go)

Best Practices

  1. Use DefaultAzureCredential — Supports multiple auth methods automatically
  2. Enable managed identity — For secure access to other Azure resources
  3. Configure SSO — Enable Entra ID SSO for enterprise security
  4. Tag resources — Use tags for cost tracking and organization
  5. Check provisioning state — Wait for Succeeded before using instance
  6. Use appropriate region — Choose region closest to your compute
  7. Monitor with Azure — Use Azure Monitor for resource health

Error Handling

using Azure;

try
{
    ArmOperation<WeightsAndBiasesInstanceResource> operation = await instances
        .CreateOrUpdateAsync(WaitUntil.Completed, "my-wandb", data);
}
catch (RequestFailedException ex) when (ex.Status == 409)
{
    Console.WriteLine("Instance already exists or name conflict");
}
catch (RequestFailedException ex) when (ex.Status == 400)
{
    Console.WriteLine($"Invalid configuration: {ex.Message}");
}
catch (RequestFailedException ex)
{
    Console.WriteLine($"Azure error: {ex.Status} - {ex.Message}");
}

Integration with W&B SDK

After creating the Azure resource, use the W&B Python SDK for experiment tracking:

# Install: pip install wandb
import wandb

# Login with your W&B API key from the Azure-deployed instance
wandb.login(host="https://my-company-wandb.wandb.ai")

# Initialize a run
run = wandb.init(project="my-ml-project")

# Log metrics
wandb.log({"accuracy": 0.95, "loss": 0.05})

# Finish run
run.finish()

Related SDKs

SDK Purpose Install
Azure.ResourceManager.WeightsAndBiases W&B instance management (this SDK) dotnet add package Azure.ResourceManager.WeightsAndBiases --prerelease
Azure.ResourceManager.MachineLearning Azure ML workspaces dotnet add package Azure.ResourceManager.MachineLearning

Reference Links

Resource URL
NuGet Package https://www.nuget.org/packages/Azure.ResourceManager.WeightsAndBiases
W&B Documentation https://docs.wandb.ai/
Azure Marketplace https://azuremarketplace.microsoft.com/marketplace/apps/wandb.wandb-pay-as-you-go
GitHub Source https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/weightsandbiases
Files (skills)
  • SKILL.md 11.1 KB
    ---
    name: azure-mgmt-weightsandbiases-dotnet
    description: |
      Azure Weights & Biases SDK for .NET. ML experiment tracking and model management via Azure Marketplace. Use for creating W&B instances, managing SSO, marketplace integration, and ML observability. Triggers: "Weights and Biases", "W&B", "WeightsAndBiases", "ML experiment tracking", "model registry", "experiment management", "wandb".
    license: MIT
    metadata:
      author: Microsoft
      version: "1.0.0"
      package: Azure.ResourceManager.WeightsAndBiases
    ---
    
    # Azure.ResourceManager.WeightsAndBiases (.NET)
    
    Azure Resource Manager SDK for deploying and managing Weights & Biases ML experiment tracking instances via Azure Marketplace.
    
    ## Installation
    
    ```bash
    dotnet add package Azure.ResourceManager.WeightsAndBiases --prerelease
    dotnet add package Azure.Identity
    ```
    
    **Current Version**: v1.0.0-beta.1 (preview)  
    **API Version**: 2024-09-18-preview
    
    ## Environment Variables
    
    ```bash
    AZURE_SUBSCRIPTION_ID=<your-subscription-id> # Required: Azure subscription ID
    AZURE_RESOURCE_GROUP=<your-resource-group> # Required: Azure resource group name
    AZURE_WANDB_INSTANCE_NAME=<your-wandb-instance> # Required: Weights & Biases instance name
    AZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production
    ```
    
    ## Authentication
    
    ```csharp
    using Azure.Identity;
    using Azure.ResourceManager;
    using Azure.ResourceManager.WeightsAndBiases;
    
    // Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
    var credential = new DefaultAzureCredential(
        DefaultAzureCredential.DefaultEnvironmentVariableName
    );
    // Or use a specific credential directly in production:
    // See https://learn.microsoft.com/dotnet/api/overview/azure/identity-readme?view=azure-dotnet#credential-classes
    // var credential = new ManagedIdentityCredential();
    ArmClient client = new ArmClient(credential);
    ```
    
    ## Resource Hierarchy
    
    ```
    Subscription
    └── ResourceGroup
        └── WeightsAndBiasesInstance    # W&B deployment from Azure Marketplace
            ├── Properties
            │   ├── Marketplace          # Offer details, plan, publisher
            │   ├── User                 # Admin user info
            │   ├── PartnerProperties    # W&B-specific config (region, subdomain)
            │   └── SingleSignOnPropertiesV2  # Entra ID SSO configuration
            └── Identity                 # Managed identity (optional)
    ```
    
    ## Core Workflows
    
    ### 1. Create Weights & Biases Instance
    
    ```csharp
    using Azure.ResourceManager.WeightsAndBiases;
    using Azure.ResourceManager.WeightsAndBiases.Models;
    
    ResourceGroupResource resourceGroup = await client
        .GetDefaultSubscriptionAsync()
        .Result
        .GetResourceGroupAsync("my-resource-group");
    
    WeightsAndBiasesInstanceCollection instances = resourceGroup.GetWeightsAndBiasesInstances();
    
    WeightsAndBiasesInstanceData data = new WeightsAndBiasesInstanceData(AzureLocation.EastUS)
    {
        Properties = new WeightsAndBiasesInstanceProperties
        {
            // Marketplace configuration
            Marketplace = new WeightsAndBiasesMarketplaceDetails
            {
                SubscriptionId = "<marketplace-subscription-id>",
                OfferDetails = new WeightsAndBiasesOfferDetails
                {
                    PublisherId = "wandb",
                    OfferId = "wandb-pay-as-you-go",
                    PlanId = "wandb-payg",
                    PlanName = "Pay As You Go",
                    TermId = "monthly",
                    TermUnit = "P1M"
                }
            },
            // Admin user
            User = new WeightsAndBiasesUserDetails
            {
                FirstName = "Admin",
                LastName = "User",
                EmailAddress = "admin@example.com",
                Upn = "admin@example.com"
            },
            // W&B-specific configuration
            PartnerProperties = new WeightsAndBiasesPartnerProperties
            {
                Region = WeightsAndBiasesRegion.EastUS,
                Subdomain = "my-company-wandb"
            }
        },
        // Optional: Enable managed identity
        Identity = new ManagedServiceIdentity(ManagedServiceIdentityType.SystemAssigned)
    };
    
    ArmOperation<WeightsAndBiasesInstanceResource> operation = await instances
        .CreateOrUpdateAsync(WaitUntil.Completed, "my-wandb-instance", data);
    
    WeightsAndBiasesInstanceResource instance = operation.Value;
    
    Console.WriteLine($"W&B Instance created: {instance.Data.Name}");
    Console.WriteLine($"Provisioning state: {instance.Data.Properties.ProvisioningState}");
    ```
    
    ### 2. Get Existing Instance
    
    ```csharp
    WeightsAndBiasesInstanceResource instance = await resourceGroup
        .GetWeightsAndBiasesInstanceAsync("my-wandb-instance");
    
    Console.WriteLine($"Instance: {instance.Data.Name}");
    Console.WriteLine($"Location: {instance.Data.Location}");
    Console.WriteLine($"State: {instance.Data.Properties.ProvisioningState}");
    
    if (instance.Data.Properties.PartnerProperties != null)
    {
        Console.WriteLine($"Region: {instance.Data.Properties.PartnerProperties.Region}");
        Console.WriteLine($"Subdomain: {instance.Data.Properties.PartnerProperties.Subdomain}");
    }
    ```
    
    ### 3. List All Instances
    
    ```csharp
    // List in resource group
    await foreach (WeightsAndBiasesInstanceResource instance in 
        resourceGroup.GetWeightsAndBiasesInstances())
    {
        Console.WriteLine($"Instance: {instance.Data.Name}");
        Console.WriteLine($"  Location: {instance.Data.Location}");
        Console.WriteLine($"  State: {instance.Data.Properties.ProvisioningState}");
    }
    
    // List in subscription
    SubscriptionResource subscription = await client.GetDefaultSubscriptionAsync();
    await foreach (WeightsAndBiasesInstanceResource instance in 
        subscription.GetWeightsAndBiasesInstancesAsync())
    {
        Console.WriteLine($"{instance.Data.Name} in {instance.Id.ResourceGroupName}");
    }
    ```
    
    ### 4. Configure Single Sign-On (SSO)
    
    ```csharp
    WeightsAndBiasesInstanceResource instance = await resourceGroup
        .GetWeightsAndBiasesInstanceAsync("my-wandb-instance");
    
    // Update with SSO configuration
    WeightsAndBiasesInstanceData updateData = instance.Data;
    
    updateData.Properties.SingleSignOnPropertiesV2 = new WeightsAndBiasSingleSignOnPropertiesV2
    {
        Type = WeightsAndBiasSingleSignOnType.Saml,
        State = WeightsAndBiasSingleSignOnState.Enable,
        EnterpriseAppId = "<entra-app-id>",
        AadDomains = { "example.com", "contoso.com" }
    };
    
    ArmOperation<WeightsAndBiasesInstanceResource> operation = await resourceGroup
        .GetWeightsAndBiasesInstances()
        .CreateOrUpdateAsync(WaitUntil.Completed, "my-wandb-instance", updateData);
    ```
    
    ### 5. Update Instance
    
    ```csharp
    WeightsAndBiasesInstanceResource instance = await resourceGroup
        .GetWeightsAndBiasesInstanceAsync("my-wandb-instance");
    
    // Update tags
    WeightsAndBiasesInstancePatch patch = new WeightsAndBiasesInstancePatch
    {
        Tags =
        {
            { "environment", "production" },
            { "team", "ml-platform" },
            { "costCenter", "CC-ML-001" }
        }
    };
    
    instance = await instance.UpdateAsync(patch);
    Console.WriteLine($"Updated instance: {instance.Data.Name}");
    ```
    
    ### 6. Delete Instance
    
    ```csharp
    WeightsAndBiasesInstanceResource instance = await resourceGroup
        .GetWeightsAndBiasesInstanceAsync("my-wandb-instance");
    
    await instance.DeleteAsync(WaitUntil.Completed);
    Console.WriteLine("Instance deleted");
    ```
    
    ### 7. Check Resource Name Availability
    
    ```csharp
    // Check if name is available before creating
    // (Implement via direct ARM call if SDK doesn't expose this)
    try
    {
        await resourceGroup.GetWeightsAndBiasesInstanceAsync("desired-name");
        Console.WriteLine("Name is already taken");
    }
    catch (RequestFailedException ex) when (ex.Status == 404)
    {
        Console.WriteLine("Name is available");
    }
    ```
    
    ## Key Types Reference
    
    | Type | Purpose |
    |------|---------|
    | `WeightsAndBiasesInstanceResource` | W&B instance resource |
    | `WeightsAndBiasesInstanceData` | Instance configuration data |
    | `WeightsAndBiasesInstanceCollection` | Collection of instances |
    | `WeightsAndBiasesInstanceProperties` | Instance properties |
    | `WeightsAndBiasesMarketplaceDetails` | Marketplace subscription info |
    | `WeightsAndBiasesOfferDetails` | Marketplace offer details |
    | `WeightsAndBiasesUserDetails` | Admin user information |
    | `WeightsAndBiasesPartnerProperties` | W&B-specific configuration |
    | `WeightsAndBiasSingleSignOnPropertiesV2` | SSO configuration |
    | `WeightsAndBiasesInstancePatch` | Patch for updates |
    | `WeightsAndBiasesRegion` | Supported regions enum |
    
    ## Available Regions
    
    | Region Enum | Azure Region |
    |-------------|--------------|
    | `WeightsAndBiasesRegion.EastUS` | East US |
    | `WeightsAndBiasesRegion.CentralUS` | Central US |
    | `WeightsAndBiasesRegion.WestUS` | West US |
    | `WeightsAndBiasesRegion.WestEurope` | West Europe |
    | `WeightsAndBiasesRegion.JapanEast` | Japan East |
    | `WeightsAndBiasesRegion.KoreaCentral` | Korea Central |
    
    ## Marketplace Offer Details
    
    For Azure Marketplace integration:
    
    | Property | Value |
    |----------|-------|
    | Publisher ID | `wandb` |
    | Offer ID | `wandb-pay-as-you-go` |
    | Plan ID | `wandb-payg` (Pay As You Go) |
    
    ## Best Practices
    
    1. **Use DefaultAzureCredential** — Supports multiple auth methods automatically
    2. **Enable managed identity** — For secure access to other Azure resources
    3. **Configure SSO** — Enable Entra ID SSO for enterprise security
    4. **Tag resources** — Use tags for cost tracking and organization
    5. **Check provisioning state** — Wait for `Succeeded` before using instance
    6. **Use appropriate region** — Choose region closest to your compute
    7. **Monitor with Azure** — Use Azure Monitor for resource health
    
    ## Error Handling
    
    ```csharp
    using Azure;
    
    try
    {
        ArmOperation<WeightsAndBiasesInstanceResource> operation = await instances
            .CreateOrUpdateAsync(WaitUntil.Completed, "my-wandb", data);
    }
    catch (RequestFailedException ex) when (ex.Status == 409)
    {
        Console.WriteLine("Instance already exists or name conflict");
    }
    catch (RequestFailedException ex) when (ex.Status == 400)
    {
        Console.WriteLine($"Invalid configuration: {ex.Message}");
    }
    catch (RequestFailedException ex)
    {
        Console.WriteLine($"Azure error: {ex.Status} - {ex.Message}");
    }
    ```
    
    ## Integration with W&B SDK
    
    After creating the Azure resource, use the W&B Python SDK for experiment tracking:
    
    ```python
    # Install: pip install wandb
    import wandb
    
    # Login with your W&B API key from the Azure-deployed instance
    wandb.login(host="https://my-company-wandb.wandb.ai")
    
    # Initialize a run
    run = wandb.init(project="my-ml-project")
    
    # Log metrics
    wandb.log({"accuracy": 0.95, "loss": 0.05})
    
    # Finish run
    run.finish()
    ```
    
    ## Related SDKs
    
    | SDK | Purpose | Install |
    |-----|---------|---------|
    | `Azure.ResourceManager.WeightsAndBiases` | W&B instance management (this SDK) | `dotnet add package Azure.ResourceManager.WeightsAndBiases --prerelease` |
    | `Azure.ResourceManager.MachineLearning` | Azure ML workspaces | `dotnet add package Azure.ResourceManager.MachineLearning` |
    
    ## Reference Links
    
    | Resource | URL |
    |----------|-----|
    | NuGet Package | https://www.nuget.org/packages/Azure.ResourceManager.WeightsAndBiases |
    | W&B Documentation | https://docs.wandb.ai/ |
    | Azure Marketplace | https://azuremarketplace.microsoft.com/marketplace/apps/wandb.wandb-pay-as-you-go |
    | GitHub Source | https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/weightsandbiases |
    

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