Tensor Class

Create a Tensor from the native tensorflow lite tensor pointer

How memory is mapped kTfLiteMmapRo: Memory mapped read only. i.e. weights kTfLiteArenaRw: Arena allocated read write memory (i.e. temporaries, outputs).

The number of bytes required to store the data of this Tensor. I.e. (bytes of each element) * dims[0] * ... * dims[n-1]. For example, if type is kTfLiteFloat32 and dims = {3, 2} then bytes = sizeof(float) * 3 * 2 = 4 * 3 * 2 = 24.

Get a copy of the tensor data as a managed array

A raw data pointers.

Get the size of the dimensions of the tensor

Returns true if the object has been disposed.

Get the tensor data as a jagged array

Name of this tensor.

Pointer to the unmanaged object

Quantization information.

The data type specification for data stored in `data`. This affects what member of `data` union should be used.

The dispose function that implements IDisposable interface

Release all the unmanaged memory associated with this model

Determines whether the specified object is equal to the current object.

Destructor

Get a copy of the tensor data as a managed array

Serves as the default hash function.

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Release the managed resources. This function will be called during the disposal of the current object. override ride this function if you need to call the Dispose() function on any managed IDisposable object created by the current object

Returns a string that represents the current object.

A pointer to the unmanaged object