Skip to content

Latest commit

 

History

History
147 lines (114 loc) · 4.81 KB

CHANGELOG.md

File metadata and controls

147 lines (114 loc) · 4.81 KB

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.

[1.0.7] - 2019-04-08

  • [NEW] - Support for nn.embedding_lookup
  • [NEW] - l2_normalize, dynamic_partition
  • [NEW OP] - New Ops: rsqrt, top_k, strided_slice
  • [NEW] - Support for ranges in tensors (e.g. t[0...2] via strided slice)
  • [SAMPLES] - Add samples for handling word vectors

[1.0.5] - 2019-03-20

  • [BUG FIX] - Fix not wrapping a stack op on some arrays. Should fix rnn sample

[0.9.10] - 2019-01-02

  • [BUG FIX] - remove pry-byebug include (Thanks @samgooi4189)
  • Update Changelog for 0.9.9

[0.9.9] - 2019-01-01

  • Basic Object mixins for Integer, Float, Array to improve model syntax
  • Internal code changes to improve model serialization

[0.9.8] - 2018-11-25

  • [BUG FIX] - conv2d, conv2d_backprop_filter, conv2d_backprop_input -> stride support bug fixes

[0.9.6] - 2018-11-18

  • [NEW OP] Convolutional networks - conv2d, conv2d_backprop_filter, conv2d_backprop_input
  • [IMAGE] Exposed image resampling options
  • [BUG FIX] fix argmin, argmax handling of NaN values

[0.9.5] - 2018-11-05

  • [NEW OP] assert_equal, relu6
  • [TRAINING] learning_rate_decay, dropout
  • [BUG FIX] argmin, argmax now works properly
  • [BUG FIX] shape inference fixes

[0.9.2] - 2018-10-19

  • Add profiling support
  • Make sure sparse ruby arrays are caught
  • Enhancements to support multi-gpu execution

[0.9.1] - 2018-10-19

  • Bug fix release

[0.9.0] - 2018-10-05

  • Bug fix release for OpenCL gem

[0.8.6] - 2018-09-11

Added

  • [TRAINING] Added RMSPropOptimizer, AdagradOptimizer
  • [NEW OP] shape_n, sparse_softmax_cross_entropy_with_logits, split, unstack
  • Added RNN sample

Fixes

  • Fixed gradient computation when passing an array of tensors to a function
  • Added gradients for various other ops

[0.8.5] - 2018-09-06

Added

  • [TRAINING] Added AdadeltaOptimizer
  • [NEW OP] squeeze, encode_png, decode_png

Others

  • The OpenCL evaluator has now been decoupled and is not on its own gem (tensor_stream-opencl)

[0.8.1] - 2018-08-30

  • [TRAINING] Added AdamOptimizer

[0.8.0] - 2018-08-29

Added

  • [TRAINING] Added new supported optimizer, MomentumOptimizer loosely based on tensorflow's implementation (with nesterov support)
  • [NEW OP] fill, stack, atan, cumprod, gather, invert_permutation, setdiff1d

Fixes

  • Fixed device delegator where it does not pick the correct evaluator to use in some cases
  • [GRADIENTS] Properly implement gradient computation for prod, tile, transpose
  • Fixed gradient computation for softmax_cross_entropy_with_logits_v2 (now based on tensorflow's implementation)

[0.7.0] - 2018-08-08

Added

  • [NEW OP] expand_dims, min, acos, asin, add_n
  • Add parse_from_string support. Parse tensorflow pbtext files into tensor_stream

Fixes

  • Tweaks to GradientDescentOptimizer to expose additional methods based on tensorflow

[0.6.0] - 2018-07-21

Added

  • [NEW OP] fill, floor_div, dynamic_stitch, mod, range, size, squared_difference

Fixes

  • [General] Some auto-differentation fixes
  • [softmax_cross_entropy_with_logits_v2] Use numerically stable way of calculating values
  • Other fixes related to shape computation

[0.5.1] - 2018-06-27

Added

  • Added support for control_dependencies
  • [NEW OP] floor, ceil

Fixes

  • fixed variable assignment of value sometimes not working
  • variable assignment now checks for data types properly

[0.5.0] - 2018-06-25

Added

  • [OpenCL] boolean types now use short by default
  • [OpenCL] Supported multiple OpenCL devices in one model
  • Added support for tf.device to alter device placement when using OpenCL
  • Internal changes to allow placement of tensor nodes to specific evaluators/devices

Fixes

  • removed dependency on SciRuby distribution for the pure ruby evaluator for better compatibility

[0.4.1] - 2018-06-17

Fixes

  • [OpenCL] disable program writes to /tmp

[0.4.0] - 2018-06-17

Added

  • Allow float64, int16 datatypes for the OpenCL evaluator
  • Various bug fixes
  • Tweaked data type checking to be more tensorflow like
  • initial work on docs
  • [OpenCL] tweaked best device detector
  • [NEW OP] Added op softmax_cross_entropy_with_logits
  • [NEW OP] check_numerics

Fixes

  • fixed/improved softmax behavior

[0.3.0] - 2018-06-05

Added

  • hardware acceleration using OpenCL
  • working nearest neighbor sample (use opencl evaluator for best performance)

[0.2.0] - 2018-05-27

Added

  • working logistic regression sample
  • reworked auto differentiation, fix a number of bugs related to auto differentiation, smaller derivative programs
  • alpha support for saving to pbtext format, added graphml generation
  • significant number of ops added
  • ops that support broadcasting now work better