Serrano changelog

Changelog History

• v0.1.6-alpha Changes

  December 12, 2017

  • 🛠 Fix batchnorm operator error (8b841e)
  • ➕ Added updated docs for batchnorm operator (8b841e)

• v0.1.5-alpha Changes

  December 01, 2017

  • ➕ Add BatchNormalization Operator. Currently, it supports inference forwarding only.
  • 0️⃣ In Conv2D operator, use ConvMethod.Img2Col as default calculation method. Since it computes much faster.

• v0.1.4-alpha Changes

  November 25, 2017

  🛠 Fix installing via CocoaPods failure error.

• v0.1.3-alpha Changes

  November 23, 2017

  👌 Improvements:

  • 👌 Improve the Conv2D performance [a95329, 2c113e, c412fa]
  • 🛠 Fix MPS error in matrix multiply operator [57979d]
  • 👌 Improve Graph API by introducing ForwardGraph [dcfe1f]

  Note
  🚀 This release passed all testing on a local MAC machine. Travis-CI could not pass cause it runs out of time.

• v0.1.2-alpha Changes

  November 05, 2017

  🚀 This releasee majorly added more guides. Also, modified few APIs involving with slice tensor making.

  🔄 Changelogs

  • ➕ Added guides
  • 🔄 Changed APIs in Tensor making slice tensor. [5c7b41f]
  • 🛠 Fixed force downcastign in servera places. [e6f7ac1]
  • ➕ Added API in SerranoEngine allowing loading user's Metal library. This is for custom operator. [5c28e3a]

• v0.1.1-alpha Changes

  November 03, 2017

  This is an alpha development release.

  🚀 Release note:

  Core APIs ready:

  • Graph [backward, forward]
  • Tensor
  • Operator
  • Symbol

  Operators Ready (Grad compute not ready of some operators):

  • Unary operators
  • Binary operators
  • ⬇️ Reduce operators
  • Activation operators
  • Matrix multiplication operator
  • 2D convolutional operator
  • 2D Pooling operators

  Next phase goal:

  • Graph memory allocation optimization
  • Operator grad compute
  • ➕ Add operators:
    • Depth-wise convolutional operator
    • Batch normalization operator
  • ➕ Add optimizer:
    • Adam
  • Serrano-tool:
    • Convert Keras model