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    Namespace Unity.Sentis

    Classes

    CPUTensorData

    Represents Burst-specific internal data storage for a Tensor.

    CommandBufferWorkerExtensions

    Provides extension methods for scheduling the worker from a CommandBuffer.

    ComputeTensorData

    Represents data storage for a Tensor as a compute buffer, for GPUCompute backend.

    Constant

    Represents a constant in a model.

    Functional

    Represents the static functional methods for model building and compilation.

    FunctionalExtensions

    Represents extension functions for the Sentis functional API.

    FunctionalGraph

    Represents a model graph using the functional API.

    Input functional tensors can be added to the graph, then manipulated using the functional API methods.

    The functional graph can be compiled to return an optimized Sentis runtime model.

    FunctionalTensor

    Represents a tensor that is a result of tensor operations.

    Layer

    Represents the base class for all model layers.

    Model

    Represents a Sentis neural network.

    ModelAsset

    Represents a Sentis model asset.

    ModelLoader

    Provides methods for loading models.

    ModelQuantizer

    Provides methods for quantizing models.

    ModelWriter

    Provides methods for saving models.

    NativeTensorArray

    Represents an area of native memory that's exposed to managed code.

    NativeTensorArrayFromManagedArray

    Represents an area of managed memory that's exposed as if it's native memory.

    Random

    Represents a pseudo-random number generator used by Sentis.

    Tensor

    Represents data in a multidimensional array-like structure.

    Ownership and lifetime:

    • Disposed needs to be called on the main thread.
    • Ownership is always to the owner of the object.

    Data Representation:

    • TensorShape represents the data layout of the tensor
    • Data is held by a tensorData (ITensorData) which can be on a given backend
    • Data is stored in a flattened row major format
    • Data can be pending (ie computation is being done in parallel)
      • call CompleteAllPendingOperations for a blocking call to finish computing the tensor's data Data can be in a non readable type (GPU/NPU)
      • Call CompleteAllPendingOperations to finish computing the tensor's data
      • Call ReadbackAndClone or ReadBackAndCloneAsync to allow reading the tensor's data

    Data manipulation

    • ToReadOnlyArray returns a copy of the tensor's data
    • dataOnBackend can be manipulated directly to avoid a unnecessary copy see ComputeTensorData/CPUTensorData for info

    Tensor<T>

    Represents data in a multidimensional array-like structure.

    Ownership and lifetime:

    • Disposed needs to be called on the main thread.
    • Ownership is always to the owner of the object.

    Data Representation:

    • TensorShape represents the data layout of the tensor
    • Data is held by a tensorData (ITensorData) which can be on a given backend
    • Data is stored in a flattened row major format
    • Data can be pending (ie computation is being done in parallel)
      • call CompleteAllPendingOperations for a blocking call to finish computing the tensor's data Data can be in a non readable type (GPU/NPU)
      • Call CompleteAllPendingOperations to finish computing the tensor's data
      • Call ReadbackAndClone or ReadBackAndCloneAsync to allow reading the tensor's data

    Data manipulation

    • ToReadOnlyArray returns a copy of the tensor's data
    • dataOnBackend can be manipulated directly to avoid a unnecessary copy see ComputeTensorData/CPUTensorData for info

    TextureConverter

    Provides methods for converting between textures and tensors.

    TextureTensorData

    Represents the data storage for a 'Tensor' as a render texture, for backends that use GPU pixel shaders.

    Sentis packs the tensor data into the pixels of an RGBA float4 texture.

    Sentis chooses a single tensor dimension as the blocked axis, across which data is chunked in float4 blocks.

    Tensor dimensions don't map directly to texture dimensions. Sentis creates the texture with dimensions large enough to fit all the data and pixel shaders index the data based on both the tensor and texture dimensions (see example below).

    Worker

    Represents a worker that allows you to execute neural networks (models).

    Worker abstracts implementation details on different hardware devices such as the CPU and the GPU. Worker lets you do the following:

    • Specify inputs.
    • Schedule the work.
    • Get outputs.

    Internally, Worker translates the neural network from a Model into a set of operations, then sends the operations to the hardware device for asynchronous execution.

    Structs

    DynamicTensorShape

    Represents the shape of an input tensor, or the predicted shape of a tensor before Sentis executes.

    Model.Input

    Represents an input to a model.

    Model.Output

    Represents an output to a model.

    ONNXModelMetadata

    Contains additional metadata about the ONNX model, stored in the ONNX file.

    TensorShape

    Represents the shape of a tensor.

    TextureTransform

    Represents settings for converting between textures and tensors.

    Create an instance of TextureTransform using the constructor, then use the TextureTransform object as a parameter in TextureConverter methods.

    For example: TextureTransform settings = new TextureTransform().SetDimensions(256, 256, 4).SetTensorLayout(TensorLayout.NHWC);

    Interfaces

    IONNXMetadataImportCallbackReceiver

    Implement this interface to receive model metadata during ONNX import.

    ITensorData

    An interface that represents a device-dependent representation of the data in a tensor.

    Enums

    BackendType

    Types of backend that Sentis uses to execute a neural network.

    Channel

    Set the position of each color channel in a texture tensor.

    ChannelSwizzle

    Options for the order of the color channels in a texture tensor.

    CoordOrigin

    Options for the position of the origin (0, 0) in the x and y dimensions of a texture tensor.

    DataType

    Options for the data type of a Tensor.

    DeviceType

    Types of devices that Sentis uses to execute a neural network.

    QuantizationType

    Type of quantization for float weights.

    TensorLayout

    Options for the dimension layout in a texture tensor.

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