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ModelParameters.cs
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// Copyright (c) TensorStack. All rights reserved.
// Licensed under the Apache 2.0 License.
using Microsoft.ML.OnnxRuntime;
using System;
using System.Collections.Generic;
using System.Numerics;
using System.Threading;
using TensorStack.Common.Tensor;
namespace TensorStack.Common
{
/// <summary>
/// ModelParameters class to manage model input and output parameters
/// Implements the <see cref="IDisposable" />
/// </summary>
/// <seealso cref="IDisposable" />
public sealed class ModelParameters : IDisposable
{
private readonly RunOptions _runOptions;
private readonly ModelMetadata _metadata;
private readonly ParameterCollection _inputs;
private readonly ParameterCollection _outputs;
private readonly OrtAllocator _allocator;
/// <summary>
/// Initializes a new instance of the <see cref="ModelParameters"/> class.
/// </summary>
public ModelParameters(ModelMetadata metadata, CancellationToken cancellationToken = default)
{
_metadata = metadata;
_allocator = metadata.Allocator;
_runOptions = new RunOptions();
_inputs = new ParameterCollection();
_outputs = new ParameterCollection();
cancellationToken.Register(Cancel, true);
}
/// <summary>
/// Gets the run options.
/// </summary>
public RunOptions RunOptions => _runOptions;
/// <summary>
/// Gets the input names.
/// </summary>
public IReadOnlyCollection<string> InputNames => _inputs.Names;
/// <summary>
/// Gets the output names.
/// </summary>
public IReadOnlyCollection<string> OutputNames => _outputs.Names;
/// <summary>
/// Gets the input values.
/// </summary>
public IReadOnlyCollection<OrtValue> InputValues => _inputs.Values;
/// <summary>
/// Gets the output values.
/// </summary>
public IReadOnlyCollection<OrtValue> OutputValues => _outputs.Values;
/// <summary>
/// Gets the input name values.
/// </summary>
public IReadOnlyDictionary<string, OrtValue> InputNameValues => _inputs.NameValues;
/// <summary>
/// Gets the output name values.
/// </summary>
public IReadOnlyDictionary<string, OrtValue> OutputNameValues => _outputs.NameValues;
/// <summary>
/// Gets the expected input parameter count.
/// </summary>
public int InputCount => _metadata.Inputs.Count;
/// <summary>
/// Gets the expected output parameter count.
/// </summary>
public int OutputCount => _metadata.Outputs.Count;
/// <summary>
/// Adds an input OrtValue
/// </summary>
/// <param name="metaData">The meta data.</param>
/// <param name="value">The value.</param>
public void AddInput(OrtValue value, bool dispose = true)
{
_inputs.Add(GetNextInputMetadata(), value, dispose);
}
/// <summary>
/// Adds an input OrtValue at the specified index.
/// </summary>
/// <param name="index">The index.</param>
/// <param name="value">The value.</param>
public void AddInput(int index, OrtValue value, bool dispose = true)
{
var metadata = _metadata.Inputs[index];
_inputs.Add(metadata, value, dispose);
}
/// <summary>
/// Adds a tensor input.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="value">The value.</param>
public void AddInput<T>(TensorSpan<T> value) where T : unmanaged, INumber<T>
{
var metadata = GetNextInputMetadata();
_inputs.Add(metadata, metadata.CreateTensorOrtValue(_allocator.Info, value));
}
/// <summary>
/// Adds a tensor input.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="value">The value.</param>
public void AddInput(TensorSpan<float> value, Normalization normalization)
{
var metadata = GetNextInputMetadata();
var ortValue = metadata.CreateTensorOrtValue(_allocator.Info, value);
ortValue.GetTensorMutableDataAsSpan<float>().Normalize(normalization);
_inputs.Add(metadata, ortValue);
}
/// <summary>
/// Adds a tensor input at the specified index.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="value">The value.</param>
public void AddInput<T>(int index, TensorSpan<T> value) where T : unmanaged, INumber<T>
{
var metadata = _metadata.Inputs[index];
_inputs.Add(metadata, metadata.CreateTensorOrtValue(_allocator.Info, value));
}
/// <summary>
/// Adds a tensor input.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="value">The value.</param>
public void AddInput(TensorSpan<string> value)
{
var metadata = GetNextInputMetadata();
_inputs.Add(metadata, metadata.CreateTensorOrtValue(value));
}
/// <summary>
/// Adds a tensor input at the specified index.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="value">The value.</param>
public void AddInput(int index, TensorSpan<string> value)
{
var metadata = _metadata.Inputs[index];
_inputs.Add(metadata, metadata.CreateTensorOrtValue(value));
}
/// <summary>
/// Adds a tensor input.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="value">The value.</param>
public void AddInput(TensorSpan<bool> value)
{
var metadata = GetNextInputMetadata();
_inputs.Add(metadata, metadata.CreateTensorOrtValue(_allocator.Info, value));
}
/// <summary>
/// Adds a tensor input at the specified index.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="value">The value.</param>
public void AddInput(int index, TensorSpan<bool> value)
{
var metadata = _metadata.Inputs[index];
_inputs.Add(metadata, metadata.CreateTensorOrtValue(_allocator.Info, value));
}
/// <summary>
/// Adds a tensor input.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="value">The value.</param>
public void AddInput(TensorSpan<byte> value)
{
var metadata = GetNextInputMetadata();
_inputs.Add(metadata, metadata.CreateTensorOrtValue(_allocator.Info, value));
}
/// <summary>
/// Adds a tensor input at the specified index.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="value">The value.</param>
public void AddInput(int index, TensorSpan<byte> value)
{
var metadata = _metadata.Inputs[index];
_inputs.Add(metadata, metadata.CreateTensorOrtValue(_allocator.Info, value));
}
/// <summary>
/// Adds a tensor input.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="value">The value.</param>
public void AddInput<T>(Tensor<T> value) where T : unmanaged, INumber<T> => AddInput(value.AsTensorSpan());
/// <summary>
/// Adds a tensor input at the specified index.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="value">The value.</param>
public void AddInput<T>(int index, Tensor<T> value) where T : unmanaged, INumber<T> => AddInput(index, value.AsTensorSpan());
/// <summary>
/// Adds a tensor input.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="value">The value.</param>
public void AddInput(Tensor<string> value) => AddInput(value.AsTensorSpan());
/// <summary>
/// Adds a tensor input at the specified index.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="value">The value.</param>
public void AddInput(int index, Tensor<string> value) => AddInput(index, value.AsTensorSpan());
/// <summary>
/// Adds a tensor input.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="value">The value.</param>
public void AddInput(Tensor<bool> value) => AddInput(value.AsTensorSpan());
/// <summary>
/// Adds a tensor input at the specified index.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="value">The value.</param>
public void AddInput(int index, Tensor<bool> value) => AddInput(index, value.AsTensorSpan());
/// <summary>
/// Adds a tensor input.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="value">The value.</param>
public void AddInput(Tensor<byte> value) => AddInput(value.AsTensorSpan());
/// <summary>
/// Adds a tensor input at the specified index.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="value">The value.</param>
public void AddInput(int index, Tensor<byte> value) => AddInput(index, value.AsTensorSpan());
/// <summary>
/// Adds a scalar input.
/// </summary>
/// <param name="value">The value.</param>
public void AddScalarInput<T>(T value) where T : unmanaged, INumber<T>
{
var metaData = GetNextInputMetadata();
_inputs.Add(metaData, metaData.CreateScalarOrtValue(_allocator.Info, value));
}
public void AddScalarInput(string value)
{
var metaData = GetNextInputMetadata();
_inputs.Add(metaData, metaData.CreateScalarOrtValue(_allocator.Info, value));
}
public void AddScalarInput(bool value)
{
var metaData = GetNextInputMetadata();
_inputs.Add(metaData, metaData.CreateScalarOrtValue(_allocator.Info, value));
}
public void AddScalarInput(byte value)
{
var metaData = GetNextInputMetadata();
_inputs.Add(metaData, metaData.CreateScalarOrtValue(_allocator.Info, value));
}
/// <summary>
/// Adds the ImageTensor input.
/// </summary>
/// <param name="value">The value.</param>
/// <param name="channels">The channels.</param>
/// <param name="normalization">The normalization.</param>
public void AddImageInput(ImageTensor value, int channels, Normalization normalization)
{
AddInput(value.GetChannels(channels), normalization);
}
/// <summary>
/// Adds an output parameter with unknown output size.
/// </summary>
/// <param name="metaData">The meta data.</param>
public void AddOutput()
{
_outputs.AddName(GetNextOutputMetadata());
}
/// <summary>
/// Adds an output with the specified OrtValue.
/// </summary>
/// <param name="metaData">The meta data.</param>
/// <param name="value">The value.</param>
public void AddOutput(OrtValue value)
{
_outputs.Add(GetNextOutputMetadata(), value);
}
/// <summary>
/// Adds an output at the index with the specified OrtValue.
/// </summary>
/// <param name="index">The index.</param>
/// <param name="value">The value.</param>
public void AddOutput(int index, OrtValue value)
{
var metadata = _metadata.Outputs[index];
_outputs.Add(metadata, value);
}
/// <summary>
/// Adds an output with the specified buffer size.
/// </summary>
/// <param name="bufferDimension">The buffer dimensions.</param>
public void AddOutput(ReadOnlySpan<int> bufferDimension)
{
var metadata = GetNextOutputMetadata();
_outputs.Add(metadata, metadata.CreateOutputBuffer(_allocator, bufferDimension));
}
/// <summary>
/// Adds an output at the specified indexwith the specified buffer size.
/// </summary>
/// <param name="index">The index.</param>
/// <param name="bufferDimension">The buffer dimension.</param>
public void AddOutput(int index, ReadOnlySpan<int> bufferDimension)
{
var metadata = _metadata.Outputs[index];
_outputs.Add(metadata, metadata.CreateOutputBuffer(_allocator, bufferDimension));
}
/// <summary>
/// Dispose resources.
/// </summary>
public void Dispose()
{
_inputs?.Dispose();
_outputs?.Dispose();
_runOptions?.Dispose();
}
private NamedMetadata GetNextInputMetadata()
{
if (_inputs.Names.Count >= _metadata.Inputs.Count)
throw new ArgumentOutOfRangeException($"Too Many Inputs - No Metadata found for input index {_inputs.Names.Count - 1}");
return _metadata.Inputs[_inputs.Names.Count];
}
private NamedMetadata GetNextOutputMetadata()
{
if (_outputs.Names.Count >= _metadata.Outputs.Count)
throw new ArgumentOutOfRangeException($"Too Many Outputs - No Metadata found for output index {_outputs.Names.Count}");
return _metadata.Outputs[_outputs.Names.Count];
}
/// <summary>
/// Cancel the inference session
/// </summary>
private void Cancel()
{
try
{
if (_runOptions.IsClosed)
return;
if (_runOptions.IsInvalid)
return;
if (_runOptions.Terminate == true)
return;
_runOptions.Terminate = true;
}
catch (Exception)
{
throw new OperationCanceledException();
}
}
}
}
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