<!--
{
  "availability" : [
    "iOS: 14.0.0 - 17.4.0",
    "iPadOS: 14.0.0 - 17.4.0",
    "macCatalyst: 14.0.0 - 17.4.0",
    "macOS: 11.0.0 - 14.3.0",
    "tvOS: 14.0.0 - 17.4.0"
  ],
  "documentType" : "symbol",
  "framework" : "MLCompute",
  "identifier" : "/documentation/MLCompute/MLCTrainingGraph/allocateUserGradient(for:)",
  "metadataVersion" : "0.1.0",
  "role" : "Instance Method",
  "symbol" : {
    "kind" : "Instance Method",
    "modules" : [
      "ML Compute"
    ],
    "preciseIdentifier" : "c:objc(cs)MLCTrainingGraph(im)allocateUserGradientForTensor:"
  },
  "title" : "allocateUserGradient(for:)"
}
-->

# allocateUserGradient(for:)

Allocates an entry for a gradient for the result tensor you specify.

```
func allocateUserGradient(for tensor: MLCTensor) -> MLCTensor?
```

## Parameters

`tensor`

A result tensor.

## Return Value

A gradient tensor.

## Discussion

Third-party numeric libraries can perform additional computations on the result tensor produced by a layer in the training graph. This external computation may produce gradients that you can backpropagate during gradient execution by using this method to allocate an entry for the gradient.

---

Copyright &copy; 2026 Apple Inc. All rights reserved. | [Terms of Use](https://www.apple.com/legal/internet-services/terms/site.html) | [Privacy Policy](https://www.apple.com/privacy/privacy-policy)