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CHANGELOG.md

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0.18.1 (unreleased)

  • Improved inspect for Device
  • Fixed equality for Device
  • Fixed index method for Device when no index

0.18.0 (2024-10-22)

  • Updated LibTorch to 2.5.0

0.17.1 (2024-08-19)

  • Added persistent option to register_buffer method
  • Added prefix and recurse options to named_buffers method

0.17.0 (2024-07-26)

  • Updated LibTorch to 2.4.0
  • Added normalize method
  • Added support for tensor indexing with arrays

0.16.0 (2024-06-12)

  • Updated LibTorch to 2.3.0
  • Added ELU and GELU classes
  • Dropped support for Ruby < 3.1

0.15.0 (2024-02-28)

  • Updated LibTorch to 2.2.0
  • Fixed error with inspect for MPS tensors

0.14.1 (2023-12-26)

  • Fixed default arguments for conv1d

0.14.0 (2023-11-09)

  • Updated LibTorch to 2.1.0
  • Improved performance of saving and loading models

0.13.2 (2023-05-11)

  • Fixed error on Fedora

0.13.1 (2023-05-03)

  • Fixed error with Rice 4.1

0.13.0 (2023-04-13)

  • Updated LibTorch to 2.0.0
  • Dropped support for Ruby < 3

0.12.2 (2023-01-30)

  • Added experimental support for DataPipes

0.12.1 (2023-01-29)

  • Added Generator class

0.12.0 (2022-11-05)

  • Updated LibTorch to 1.13.0

0.11.2 (2022-09-25)

  • Improved LibTorch detection for Homebrew on Mac ARM and Linux

0.11.1 (2022-07-06)

  • Fixed error with stft method

0.11.0 (2022-07-06)

  • Updated LibTorch to 1.12.0
  • Dropped support for Ruby < 2.7

0.10.2 (2022-06-14)

  • Improved numeric operations between scalars and tensors
  • Fixed dtype of cumsum method

0.10.1 (2022-04-12)

  • Fixed dtype, device, and layout for new_* and like_* methods

0.10.0 (2022-03-13)

  • Updated LibTorch to 1.11.0
  • Added ParameterList

0.9.2 (2022-02-03)

  • Added support for setting nil gradient
  • Added checks when setting gradient
  • Fixed precision with Torch.tensor method
  • Fixed memory issue when creating tensor for ByteStorage

0.9.1 (2022-02-02)

  • Moved like methods to C++
  • Fixed memory issue

0.9.0 (2021-10-23)

  • Updated LibTorch to 1.10.0
  • Added real and imag methods to tensors

0.8.3 (2021-10-17)

  • Fixed dup method for tensors and parameters
  • Fixed issues with transformers

0.8.2 (2021-10-03)

  • Added transformers
  • Added left shift and right shift

0.8.1 (2021-06-15)

  • Added Backends module
  • Added FFT module
  • Added Linalg module
  • Added Special module

0.8.0 (2021-06-15)

  • Updated LibTorch to 1.9.0

0.7.0 (2021-05-23)

  • Updated to Rice 4
  • Added support for complex numbers

0.6.0 (2021-03-25)

  • Updated LibTorch to 1.8.0
  • Fixed tensor indexing with endless ranges that exclude end
  • Removed support for Ruby 2.5

0.5.3 (2021-01-14)

  • Added manual_seed and manual_seed_all for CUDA
  • Improved saving and loading models
  • Fixed error with tensor indexing with beginless ranges

0.5.2 (2020-10-29)

  • Fixed undefined symbol error with CUDA

0.5.1 (2020-10-28)

  • Fixed error with tensor classes and no arguments
  • Fixed error with stft and clamp methods

0.5.0 (2020-10-28)

  • Updated LibTorch to 1.7.0
  • Removed deprecated overload for addcmul! and addcdiv!

0.4.2 (2020-10-27)

  • Fixed errors with optimizer options

0.4.1 (2020-10-12)

  • Fixed installation error with Ruby < 2.7

0.4.0 (2020-09-27)

  • Improved performance of methods
  • Improved performance of tensor indexing

0.3.7 (2020-09-22)

  • Improved performance
  • Added Upsample
  • Added support for passing tensor class to type method
  • Fixed error with buffers on GPU
  • Fixed error with new_full
  • Fixed issue with numo method and non-contiguous tensors

0.3.6 (2020-09-17)

  • Added inplace option for leaky ReLU
  • Fixed error with methods that return a tensor list (chunk, split, and unbind)
  • Fixed error with buffers on GPU

0.3.5 (2020-09-04)

  • Fixed error with data loader (due to dtype of randperm)

0.3.4 (2020-08-26)

  • Added Torch.clamp method

0.3.3 (2020-08-25)

  • Added spectral ops
  • Fixed tensor indexing

0.3.2 (2020-08-24)

  • Added enable_grad method
  • Added random_split method
  • Added collate_fn option to DataLoader
  • Added grad= method to Tensor
  • Fixed error with grad method when empty
  • Fixed EmbeddingBag

0.3.1 (2020-08-17)

  • Added create_graph and retain_graph options to backward method
  • Fixed error when set not required

0.3.0 (2020-07-29)

  • Updated LibTorch to 1.6.0
  • Removed state_dict method from optimizers until load_state_dict is implemented

0.2.7 (2020-06-29)

  • Made tensors enumerable
  • Improved performance of inspect method

0.2.6 (2020-06-29)

  • Added support for indexing with tensors
  • Added contiguous methods
  • Fixed named parameters for nested parameters

0.2.5 (2020-06-07)

  • Added download_url_to_file and load_state_dict_from_url to Torch::Hub
  • Improved error messages
  • Fixed tensor slicing

0.2.4 (2020-04-29)

  • Added to_i and to_f to tensors
  • Added shuffle option to data loader
  • Fixed modules and named_modules for nested modules

0.2.3 (2020-04-28)

  • Added show_config and parallel_info methods
  • Added initial_seed and seed methods to Random
  • Improved data loader
  • Build with MKL-DNN and NNPACK when available
  • Fixed inspect for modules

0.2.2 (2020-04-27)

  • Added support for saving tensor lists
  • Added ndim and ndimension methods to tensors

0.2.1 (2020-04-26)

  • Added support for saving and loading models
  • Improved error messages
  • Reduced gem size

0.2.0 (2020-04-22)

  • No longer experimental
  • Updated LibTorch to 1.5.0
  • Added support for GPUs and OpenMP
  • Added adaptive pooling layers
  • Tensor dtype is now based on Numo type for Torch.tensor
  • Improved support for boolean tensors
  • Fixed error with unbiased linear model

0.1.8 (2020-01-17)

  • Updated LibTorch to 1.4.0

0.1.7 (2020-01-10)

  • Fixed installation error with Ruby 2.7

0.1.6 (2019-12-09)

  • Added recurrent layers
  • Added more pooling layers
  • Added normalization layers

0.1.5 (2019-12-06)

  • Added many more functions
  • Added tensor classes - FloatTensor, LongTensor, etc
  • Improved modules

0.1.4 (2019-12-01)

  • Added distance functions
  • Added more activations
  • Added more linear layers
  • Added more loss functions
  • Added more init methods
  • Added support for tensor assignment

0.1.3 (2019-11-30)

  • Changed to BSD 3-Clause license to match PyTorch
  • Added many optimizers
  • Added StepLR learning rate scheduler
  • Added dropout
  • Added embedding
  • Added support for bool type
  • Improved performance of from_numo

0.1.2 (2019-11-27)

  • Added SGD optimizer
  • Added support for gradient to backward method
  • Added argmax, eq, leaky_relu, prelu, and reshape methods
  • Improved indexing
  • Fixed zero_grad
  • Fixed error with infinite values

0.1.1 (2019-11-26)

  • Added support for uint8 and int8 types
  • Fixed undefined symbol error on Linux
  • Fixed C++ error messages

0.1.0 (2019-11-26)

  • First release