---
title: "resolvingDynamicDimensions(_:)"
framework: coreai
role: symbol
role_heading: Instance Method
path: "coreai/ndarraydescriptor/resolvingdynamicdimensions(_:)"
---

# resolvingDynamicDimensions(_:)

Returns a new descriptor with all dynamic dimensions replaced by concrete values.

## Declaration

```swift
func resolvingDynamicDimensions(_ newShape: [Int]) -> NDArrayDescriptor
```

## Discussion

Discussion If the original model contained ndArray arguments with dynamic shapes, then the NDArrayDescriptor returned for that argument from the InferenceFunctionDescriptor will contain the value -1 in the dimensions with dynamic sizes. This method allows you to provide a resolved shape and obtain a new descriptor with that adjusted shape. let functionDescriptor = model.functionDescriptor(for: "main") guard case .ndArray(let ndArrayDescriptor) = functionDescriptor.inputDescriptor(of: "dynamic_shape_input") else {   // Handle input not found or not ndArray }

// The 'dynamic_shape_input' argument is a rank 3 ndArray with a dynamic shape for the final dimension. // ndArrayDescriptor.shape == [128, 128, -1]

// Make a resolved descriptor which fills in the -1 dimension with the concrete value 10 let resolvedDescriptor = ndArrayDescriptor.resolvingDynamicDimensions([128, 128, 10]) note: newShape must be the same size as the shape of the descriptor it is called on. Also for each dimension, it must hold true that the provided new shape either matches the existing shape, or the existing shape is -1.