238 lines
8.5 KiB
Markdown
238 lines
8.5 KiB
Markdown
# Changelog
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All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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- Tidy up cgo flags
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## [Nofix]
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- ctype `long` caused compiling error in MacOS as noted on [#44]. Not working on linux box.
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# [0.9.1]
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- [#111, #112, #113] Fixed concurrency memory leak
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- [#118] Fixed incorrect cbool conversion
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# [0.9.0]
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- Upgrade libtorch v2.1.0
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# [0.8.0]
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- Upgrade libtorch v2.0.0
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- Upgrade Go version 1.20
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- Switched to use hybrid of Go garbage collection and manually memory management
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- Fixed #100 #102
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- Fixed incorrect indexing at `dutil/Dataset.Next()`
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- Added `nn.MSELoss()`
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- reworked `ts.Format()`
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- Added conv2d benchmark
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- Fixed #88 memory leak at `example/char-rnn`
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- Added missing tensor `Stride()` and `MustDataPtr()`, `IsMkldnn`, `MustIsMkldnn`, `IsContiguous`, `MustIsContiguous`
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- Added ts `New()`
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## [0.7.0]
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- Added `WsName` and `BsName` fields to `nn.LayerNorm.Config`
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- [#70] Upgraded to libtorch 1.11
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- Added API `Path.Remove()`; `Path.MustRemove()`
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## [0.6.2]
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- Fixed `dutil/MapDataset`
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- [#69] change package name `tensor` -> `ts` for easy coding.
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- [#68] simplify `VarStore` struct and adde more APIs for `VarStore` and `Optimizer`
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- Fixed pickle with zero data length
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- Added `gotch.CleanCache()` API.
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## [0.6.1]
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- Fixed wrong `cacheDir` and switch off logging.
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- Added more pickle classes to handle unpickling
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## [0.6.0]
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- Added subpackage `pickle`. Now we can load directly Python Pytorch pretrained model without any Python script conversion.
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- Added `gotch.CachePath()` and `gotch.ModelUrls`
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- Remove Travis CI for now.
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- fixed `tensor.OfSlice()` throw error due to "Unsupported Go type" (e.g. []float32)
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- added `nn.Path.Paths()` method
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- added `nn.VarStore.Summary()` method
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- fixed incorrect tensor method `ts.Meshgrid` -> `Meshgrid`
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- added new API `ConstantPadNdWithVal` `ato_constant_pad_nd` with padding value.
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- fixed "nn/rnn NewLSTM() clashed weight names"
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- fixed some old API at `vision/aug/function.go`
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- fixed `tensor.OfSlice()` not supporting `[]int` data type
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- fixed make `tensor.ValueGo()` returning `[]int` instead of `[]int32`
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- added more building block modules: Dropout, MaxPool2D, Parameter, Identity
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- added nn.BatchNorm.Forward() with default training=true
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- added exposing `tensor.Ctensor()`
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- added API `tensor.FromCtensor()`
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- [#67]: fixed incorrect type casting at `atc_cuda_count`
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## [0.5.0]
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- Upgraded to libtorch 1.10
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- [#58] Fixed incorrect converting IValue from CIValue case 1 (Tensor).
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## [0.4.5]
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- Added Conv3DConfig and Conv3DConfig Option
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- Added missing Tensor methods APIs those return multiple tensors (e.g. `tensor.Svd`).
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## [0.4.4]
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- Dropped libtch `dummy_cuda_dependency()` and `fake_cuda_dependency()` as libtorch ldd linking Okay now.
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## [0.4.3]
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- Export nn/scheduler DefaultSchedulerOptions()
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## [0.4.2]
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- Added nn/scheduler NewLRScheduler()
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- Added nn/conv config options
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## [0.4.1]
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- fixed cuda error `undefined reference to 'at::cuda::warp_size()'`
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## [0.4.0]
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- **Update libtorch to 1.9**. Generated **1716 APIs**. There are APIs naming changes ie. `Name1` change to `NameDim` or `NameTensor`.
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## [0.3.14]
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- Fixed temporary fix huge number of learning group returned from C at `libtch/tensor.go AtoGetLearningRates`
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- Fixed incorrect `nn.AdamWConfig` and some documentation.
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- Fixed - reworked on `vision.ResNet` and `vision.DenseNet` to fix incorrect layers and memory leak
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- Changed `dutil.DataLoader.Reset()` to reshuffle when resetting DataLoader if flag is true
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- 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.
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- Added `nn.CrossEntropyLoss` and `nn.BCELoss`
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- Fixed `tensor.ForwardIs` return `Tuple` and `TensorList` instead of always returning `TensorList`
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- Changed exporting augment options and make ColorJitter forward output dtype `uint8` for chaining with other augment options.
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- [#45] Fixed `init/RandInt` incorrect initialization
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- [#48] Fixed `init/RandInit` when init with mean = 0.0.
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## [0.3.13]
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- Fixed multiple memory leakage at `vision/image.go`
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- Fixed memory leakage at `dutil/dataloader.go`
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- Fixed multiple memory leakage at `efficientnet.go`
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- Added `dataloader.Len()` method
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- Fixed deleting input tensor inside function at `tensor/other.go` `tensor.CrossEntropyForLogits` and `tensor.AccuracyForLogits`
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- Added warning to `varstore.LoadPartial` when mismatched tensor shapes between source and varstore.
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- Fixed incorrect message mismatched tensor shape at `nn.Varstore.Load`
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- Fixed incorrect y -> x at `vision/aug/affine.go` getParam func
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- Fixed double free tensor at `vision/aug/function.go` Equalize func.
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- 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.
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- Fixed wrong result of `aug.RandomAdjustSharpness`
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- Fixed memory leak at `aug/function.getAffineGrid`
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- Changed `vision/aug` and correct ColorJitter
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- Changed `vision/aug` and correct Resize
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- Changed `dutil/sampler` to accept batchsize from 1.
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- Fixed double free in `vision/image.go/resizePreserveAspectRatio`
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## [0.3.12]
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Skip this tag
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## [0.3.11]
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Same as [0.3.10]
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## [0.3.10]
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- Update installation at README.md
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- [#38] fixed JIT model
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- Added Optimizer Learning Rate Schedulers
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- Added AdamW Optimizer
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## [0.3.9]
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- [#24], [#26]: fixed memory leak.
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- [#30]: fixed varstore.Save() randomly panic - segmentfault
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- [#32]: nn.Seq Forward return nil tensor if length of layers = 1
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- [#36]: resolved image augmentation
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## [0.3.8]
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### Fixed
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- [#20]: fixed IValue.Value() method return `[]interface{}` instead of `[]Tensor`
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## [0.3.7]
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### Added
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- 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.
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## [0.3.6]
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### Added
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- Added `dutil` sub-package that serves Pytorch `DataSet` and `DataLoader` concepts
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## [0.3.5]
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### Added
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- Added function `gotch.CudaIfAvailable()`. NOTE that: `device := gotch.NewCuda().CudaIfAvailable()` will throw error if CUDA is not available.
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### Changed
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- Switched back to install libtorch inside gotch library as go init() function is triggered after cgo called.
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## [0.3.4]
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### Added
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- [#4] Automatically download and install Libtorch and setup environment variables.
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## [0.3.2]
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### Added
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- [#6]: Go native tensor print using `fmt.Formatter` interface. Now, a tensor can be printed out like: `fmt.Printf("%.3f", tensor)` (for float type)
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## [0.3.3]
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### Fixed
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- nn/sequential: fixed missing case number of layers = 1 causing panic
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- nn/varstore: fixed(nn/varstore): fixed nil pointer at LoadPartial due to not break loop
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## [0.3.1]
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### Changed
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- Changed to use `map[string]*Tensor` at `nn/varstore.go`
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- Changed to use `*Path` argument of `NewLayerNorm` method at `nn/layer-norm.go`
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- Lots of clean-up return variables i.e. retVal, err
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## [0.3.0]
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### Changed
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- Updated to Pytorch C++ APIs v1.7.0
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- Switched back to `lib.AtoAddParametersOld` as the `ato_add_parameters` has not been implemented correctly. Using the updated API will cause optimizer stops working.
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## [0.2.0]
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### Changed
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- Convert all APIs to using **Pointer Receiver**
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### Added
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- Added drawing image label at `example/yolo` example
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- Added some example images and README files for `example/yolo` and `example/neural-style-transfer`
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## [0.1.10]
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### Added
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- Added `tensor.SaveMultiNew`
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## [0.1.9]
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### Changed
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- Reverse changes [#10] to original.
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## [0.1.8]
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### Changed
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- [#10]: `ts.Drop()` and `ts.MustDrop()` now can call multiple times without panic
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[#10]: https://github.com/sugarme/gotch/issues/10
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[#6]: https://github.com/sugarme/gotch/issues/6
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[#4]: https://github.com/sugarme/gotch/issues/4
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[#20]: https://github.com/sugarme/gotch/issues/20
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[#24]: https://github.com/sugarme/gotch/issues/24
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[#26]: https://github.com/sugarme/gotch/issues/26
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[#30]: https://github.com/sugarme/gotch/issues/30
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[#32]: https://github.com/sugarme/gotch/issues/32
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[#44]: https://github.com/sugarme/gotch/issues/44
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[#45]: https://github.com/sugarme/gotch/issues/45
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[#48]: https://github.com/sugarme/gotch/issues/48
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[#58]: https://github.com/sugarme/gotch/issues/58
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[#100]: https://github.com/sugarme/gotch/issues/100
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[#102]: https://github.com/sugarme/gotch/issues/102
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[#111]: https://github.com/sugarme/gotch/issues/111
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[#112]: https://github.com/sugarme/gotch/issues/112
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[#113]: https://github.com/sugarme/gotch/issues/113
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[#118]: https://github.com/sugarme/gotch/issues/118
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