What's new in Sentis 1.3
This is a summary of the changes from Sentis 1.2 to Sentis 1.3.
Added
- Support for pre-allocated tensors in TextureConverter methods.
- Importing of models with external weight files.
- More Ops methods and ability to use generic types.
- Methods and sample for model encryption.
What's new in Sentis 1.2
This is a summary of the changes from Sentis 1.1 to Sentis 1.2.
Removed
- Removed the license requirement for using the Sentis package.
- Removed the watermark on content generated with Sentis.
Added
- Support and improvement for LayerNormalization, Gelu, Resize1D, Upsample, OneHot operators.
- Improvements for model import and saving to serialized assets.
- Optimizations for models with ScalarMad layer and operator.
What's new in Sentis 1.1
This is a summary of the changes from Sentis 1.0 to Sentis 1.1.
Added
- GPUPixel backend now supports TensorInts and many more operators.
- Models can now be exported to
StreamingAssets
. - Interface for asynchronous readback of GPU tensors with callback.
- Ops utility methods for float mathematics and getting and setting slices of tensors.
Updated
- Improved compatibility for many operators including Conv, ConvTranspose and BatchNormalization.
- Improved performance of many operators on GPUCompute and GPUCommandBuffer backends.
- Reduced allocation when executing worker.
- Improved import times.
- Improved shape and data type inference to optimize models better.
- Inference accuracy fixes.
What's new in Sentis 1.0
Sentis is the new name for the Barracuda package.
This is a summary of the changes from Barracuda 3.0 to Sentis 1.0.
For information on how to upgrade, refer to the Upgrade Guide.
Added
- You can now override model layers in your code, and add your own layers. Refer to the
Add a custom layer
example in the sample scripts for an example.
Updated
- All the back end types have been optimized and improved so Sentis as a whole has better performance on both the GPU and the CPU.
- The way Sentis represents tensors has changed to make Sentis compatible with more models, and make it easier to convert Python preprocessing code into C#. Refer to Tensor fundamentals and Do operations on tensors for more information.
- Sentis supports more Open Neural Network Exchange (ONNX) operators. Refer to Supported ONNX operators for more information.
- You can now import models larger than 2 gigabytes.
- The Model Asset Import Settings window no longer contain contains
Force Arbitrary Batch Size
andTreat Errors as Warnings
settings. The window also no longer contains anOpen imported NN model as temp file
button. UseOpen
instead.