<!--
{
  "availability" : [
    "iOS: 18.0.0 -",
    "iPadOS: 18.0.0 -",
    "macCatalyst: 18.0.0 -",
    "macOS: 15.0.0 -",
    "tvOS: 18.0.0 -",
    "visionOS: 2.0.0 -",
    "watchOS: 11.0.0 -"
  ],
  "documentType" : "symbol",
  "framework" : "CoreML",
  "identifier" : "/documentation/CoreML/MLTensorRangeExpression/closedRange(_:stride:)",
  "metadataVersion" : "0.1.0",
  "role" : "Type Method",
  "symbol" : {
    "kind" : "Type Method",
    "modules" : [
      "Core ML",
      "CoreML"
    ],
    "preciseIdentifier" : "s:6CoreML23MLTensorRangeExpressionPA2A01_cD0VRszrlE06closedD0_6strideAaB_pSNySiG_SitFZ"
  },
  "title" : "closedRange(_:stride:)"
}
-->

# closedRange(_:stride:)

Slice the tensor at the specified dimension.

```
static func closedRange(_ range: ClosedRange<Int>, stride: Int = 1) -> any MLTensorRangeExpression
```

## Discussion

For example:

```swift
let x = MLTensor(randomNormal: [1, 3, 28, 28], scalarType: Float.self)
let y = x[..., 0...2] // or x[..., .closedRange(0...2, stride: 1)]
y.shape // is [1, 3, 28, 3]
```

---

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)