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Release 18.05

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@TelmoARM TelmoARM released this 23 May 15:36
· 452 commits to master since this release
v18.05
49b9e10

This release of Arm NN integrates the latest Compute Library and adds additional NNAPI support.

New Features:

  • In general, the amount of RAM needed for a loaded network has been reduced by 20-30% compared to release 18.03.
  • The MUL operation now supports operands of different shapes.
  • The CONV2D operation supports more shapes and padding options when used with QUANT8_ASYMM tensors.
  • The latest 8-bit quantized operations from Compute Library have been integrated. In testing, 8-bit quantized mobilenets models are 3x faster compared to release 18.03.

Other changes:

  • This release of ArmNN requires at least release 18.05 of the Compute Library.
  • Fixed an issue where pooling operations with different pooling width and height would produce the wrong output.
  • The CONCAT layer is now supported for all concatenation dimensions for rank 4 tensors
  • Overall efficiency has been improved by reducing the number of reshapes required for intermediate tensors

Known issues:

  • CONCAT is not supported for rank 1 and rank 2 tensors. This restriction will be lifted in a future release.
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