gotch/CHANGELOG.md

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]

[Nofix]

• ctype long caused compiling error in MacOS as noted on #44. Not working on linux box.

[0.6.0]

• Added subpackage pickle. Now we can load directly Python Pytorch pretrained model without any Python script conversion.
• Added gotch.CachePath() and gotch.ModelUrls
• Remove Travis CI for now.
• fixed tensor.OfSlice() throw error due to "Unsupported Go type" (e.g. []float32)
• added nn.Path.Paths() method
• added nn.VarStore.Summary() method
• fixed incorrect tensor method ts.Meshgrid -> Meshgrid
• added new API ConstantPadNdWithVal ato_constant_pad_nd with padding value.
• fixed "nn/rnn NewLSTM() clashed weight names"
• fixed some old API at vision/aug/function.go
• fixed tensor.OfSlice() not supporting []int data type
• fixed make tensor.ValueGo() returning []int instead of []int32
• added more building block modules: Dropout, MaxPool2D, Parameter, Identity
• added nn.BatchNorm.Forward() with default training=true
• added exposing tensor.Ctensor()
• added API tensor.FromCtensor()
• [#67]: fixed incorrect type casting at atc_cuda_count

[0.5.0]

• Upgraded to libtorch 1.10
• #58 Fixed incorrect converting IValue from CIValue case 1 (Tensor).

[0.4.5]

• Added Conv3DConfig and Conv3DConfig Option
• Added missing Tensor methods APIs those return multiple tensors (e.g. tensor.Svd).

[0.4.4]

• Dropped libtch dummy_cuda_dependency() and fake_cuda_dependency() as libtorch ldd linking Okay now.

[0.4.3]

• Export nn/scheduler DefaultSchedulerOptions()

[0.4.2]

• Added nn/scheduler NewLRScheduler()
• Added nn/conv config options

[0.4.1]

• fixed cuda error undefined reference to 'at::cuda::warp_size()'

[0.4.0]

• Update libtorch to 1.9. Generated 1716 APIs. There are APIs naming changes ie. Name1 change to NameDim or NameTensor.

[0.3.14]

• Fixed temporary fix huge number of learning group returned from C at libtch/tensor.go AtoGetLearningRates
• Fixed incorrect nn.AdamWConfig and some documentation.
• Fixed - reworked on vision.ResNet and vision.DenseNet to fix incorrect layers and memory leak
• Changed dutil.DataLoader.Reset() to reshuffle when resetting DataLoader if flag is true
• Changed dutil.DataLoader.Next(). Deleted case batch size == 1 to make consistency by always returning items in a slice []element dtype even with batchsize = 1.
• Added nn.CrossEntropyLoss and nn.BCELoss
• Fixed tensor.ForwardIs return Tuple and TensorList instead of always returning TensorList
• Changed exporting augment options and make ColorJitter forward output dtype uint8 for chaining with other augment options.
• #45 Fixed init/RandInt incorrect initialization
• #48 Fixed init/RandInit when init with mean = 0.0.

[0.3.13]

• Fixed multiple memory leakage at vision/image.go
• Fixed memory leakage at dutil/dataloader.go
• Fixed multiple memory leakage at efficientnet.go
• Added dataloader.Len() method
• Fixed deleting input tensor inside function at tensor/other.go tensor.CrossEntropyForLogits and tensor.AccuracyForLogits
• Added warning to varstore.LoadPartial when mismatched tensor shapes between source and varstore.
• Fixed incorrect message mismatched tensor shape at nn.Varstore.Load
• Fixed incorrect y -> x at vision/aug/affine.go getParam func
• Fixed double free tensor at vision/aug/function.go Equalize func.
• Changed vision/aug all input image should be uint8 (Byte) dtype and transformed output has the same dtype (uint8) so that Compose() can compose any transformer options.
• Fixed wrong result of aug.RandomAdjustSharpness
• Fixed memory leak at aug/function.getAffineGrid
• Changed vision/aug and correct ColorJitter
• Changed vision/aug and correct Resize
• Changed dutil/sampler to accept batchsize from 1.
• Fixed double free in vision/image.go/resizePreserveAspectRatio

[0.3.12]

Skip this tag

[0.3.11]

Same as [0.3.10]

[0.3.10]

• Update installation at README.md
• [#38] fixed JIT model
• Added Optimizer Learning Rate Schedulers
• Added AdamW Optimizer

[0.3.9]

• #24, #26: fixed memory leak.
• #30: fixed varstore.Save() randomly panic - segmentfault
• #32: nn.Seq Forward return nil tensor if length of layers = 1
• [#36]: resolved image augmentation

[0.3.8]

Fixed

• #20: fixed IValue.Value() method return []interface{} instead of []Tensor

[0.3.7]

Added

• Added trainable JIT Module APIs and example/jit-train. Now, a Python Pytorch model .pt can be loaded then continue training/fine-tuning in Go.

[0.3.6]

Added

• Added dutil sub-package that serves Pytorch DataSet and DataLoader concepts

[0.3.5]

Added

• Added function gotch.CudaIfAvailable(). NOTE that: device := gotch.NewCuda().CudaIfAvailable() will throw error if CUDA is not available.

Changed

• Switched back to install libtorch inside gotch library as go init() function is triggered after cgo called.

[0.3.4]

Added

• #4 Automatically download and install Libtorch and setup environment variables.

[0.3.2]

Added

• #6: Go native tensor print using fmt.Formatter interface. Now, a tensor can be printed out like: fmt.Printf("%.3f", tensor) (for float type)

[0.3.3]

Fixed

• nn/sequential: fixed missing case number of layers = 1 causing panic
• nn/varstore: fixed(nn/varstore): fixed nil pointer at LoadPartial due to not break loop

[0.3.1]

Changed

• Changed to use map[string]*Tensor at nn/varstore.go
• Changed to use *Path argument of NewLayerNorm method at nn/layer-norm.go
• Lots of clean-up return variables i.e. retVal, err

[0.3.0]

Changed

• Updated to Pytorch C++ APIs v1.7.0
• Switched back to lib.AtoAddParametersOld as the ato_add_parameters has not been implemented correctly. Using the updated API will cause optimizer stops working.

[0.2.0]

Changed

• Convert all APIs to using Pointer Receiver

Added

• Added drawing image label at example/yolo example
• Added some example images and README files for example/yolo and example/neural-style-transfer

[0.1.10]

Added

• Added tensor.SaveMultiNew

[0.1.9]

Changed

• Reverse changes #10 to original.

[0.1.8]

Changed

• #10: ts.Drop() and ts.MustDrop() now can call multiple times without panic