ml-agents/UnitySDK/Assets/ML-Agents/Plugins/Barracuda.Core/ReleaseNotes.md

Release notes

0.1.6

• Added activation type print in verbose mode
• Added fast and parallel CPU implementation for Swish, Relu, Add, Sub, Div, Min, Max, Tanh, Exp
• Removed duplicate profiler blocks for ops
• Improved scheduling on CPU for small batches of data
• Fixed compatibility with Unity 2019.2.x

0.1.5

• Added Transpose, MatMul and Indentity layer support for models exported from ONNX.
• Added BasicLSTM layer support for models exported from TF. Limited set of LSTM networks should work now.
• Added DepthwiseConv2D layer support. Most of the networks based on the MobileNet should work now.
• Added OneHot layer support for models exported from TF.
• Added optimized path for Conv2D, Dense and Transpose layers with single batch executions. Performance gain up to 100%.
• Fixed FMA performance issue on Metal GFX platforms.
• Added fast optimized path for Sigmoid and Mul layers on CPU.
• Fixed issue when worker is executed with different batch sizes.
• Added pip requirements file for Python dependencies, check ``Tools/requirements.txt```.
• Added proof of concept Docker wrappers for running model conversion inside of Docker container. Check Tools/docker-tensorflow-to-barracuda.sh and Tools/docker-onnx-to-barracuda.sh. Currently it was tested only on Mac host.
• Refactored model importers for easier integration with ML Agents.
• Fixed input shape determination for Keras sequential model.
• Added metadata about input shapes to model. Look for Model.GetShapeByName().
• Added API to query constant Tensors embedded into network, look for Model.GetTensorByName().
• Added reference implementations for Selu, Abs, Neg, Ceil, Floor, Clip, Rcp, Log layers.
• Added support for Mean, Square, StridedSlice and Border2D layers.
• Added support for Swish activation, now it is automatically detected in models.
• Fixed Tanh NaN issue when large argument is passed.
• RandomNormal and RandomUniform now supports either embedded shape constant OR previous tensor shape for input.
• Fixed Keras/TF/ONNX FusedBatchNorm/BatchNorm import and now it takes epsilon into account.
• Now Barracuda will fallback to CSharpFast if compute shaders are not supported on the current platform.
• Improved compute kernel interop on Android.
• Implemented Pix2Pix model (.pict) importer.

0.1.4

• Implemented fast Conv2DTrans. Useful for GAN type networks.
• Fixed few ComputeBuffer handling issues.
• Simplified way to pass texture via Tensor constructor.
• Documentation improvements.
• Added Unity Companion License as part of distribution.
• Fixed boundary checks for Compute Copy/Concat operations.
• Improved profiling experience, now each layer will be reported separately in Unity Profiler.
• Fixed Broadcast layer support in ModelAnalyzer.
• Exp, Pow and other layers are now also implemented in Compute. Improves RL model inference performance on GPU.
• Added platform specific BLAS plugin support. Out of the box Barracuda ships with Apple Accelerate framework support for iOS and macOS.
• Added Burst BLAS plugin, greatly improves performance in Unity Editor where native OS BLAS is not available. It's packaged as separate package and requires to have Burst enabled.
• Improved memory handling, now less GC allocations should be made per inference execution.

0.1.3

• Improved Barracuda support for Unity Profiler.
• Cleaned up Barracuda APIs.
• Added direct Texture input support. Look for TextureAsTensorData. The following types of texture supported as input: Texture2D, Texture2DArray, Texture3D, RenderTexture.
• Added Tensor to RenderTexture conversion. Look for TensorToRenderTexture.
• Autoencoder type networks can run completely on GPU now. Data roundtrip via CPU is not necessary anymore.
• Vertical flip is applied when converting between Texture and Tensor to match conventionts. To override this behavior look for TextureAsTensorData.Flip enum.
• Removed direct reference to WebCamTexture, now Barracuda compiles for Console targets.
• Fixed Conv2DTranspose layer support. Now GANs using Conv2DTranspose work properly.
• Added automated test for pix2pix GAN.

0.1.2

• Barracuda now is also available as preview package. Look for com.unity.barracuda in https://staging-packages.unity.com registry.
• Conv2D layers are now up to 30x faster with CSharpFast backend (ComputeFast remains best backend for convolutional networks).
• Added profiler sample for Fetch().
• Fixed compilation issues on Xbox One.
• TexConv2D support was temporary disabled.
• Barracuda logging now can be configured via static fields of Barracuda.D class, it allows both disable specific logging levels or just disable stack trace collection (helps with performance when profiling).
• Compute Concat implementation now will fall back to C# implementation instead of throwing exception when unsupported configuration is encountered.
• Fixed several ComputeBuffer release issues.
• Added constructor for Tensor that allows to pass in data array.
• Improved Flatten handling in TensorFlow models.
• Added helper func ModelLoader.LoadFromStreamingAssets.
• Fixed .meta file packaging.
• Small docs improvements.
• Fixed unnecessary patching of Activation layers in ModelLoader.
• Added output trimming at run-time. See for extra parameters Worker factory.

0.1.1

• First internal realease as drop-in package
• Compatibility with ML Agents models: 3DBall, PushBlock, GridWorld, Soccer.

0.1.0

• First internal build. Due some bugs encountered wasn't published.