Python wrapper for ArrayFire v3.8

New Features/Functions

• fp16 - half precision floating point support has been added - #221

• Confidence Connected Components confidenceCC - #221

• Deconvolutions - #221

  • iterativeDeconv
  • inverseDeconv

• Reduction using keys - #221

  • allTrueByKey
  • anyTrueByKey
  • countByKey
  • maxByKey
  • minByKey
  • productByKey
  • sumByKey

• Neural network based convolution and gradient functions - #221

  • convolve2GradientNN
  • convolve2NN

• Support for uniform ranges in approx1 and approx2 functions - #234

  • approx1
  • approx1_uniform
  • approx2
  • approx2_uniform

• Array class methods - #233

  • Array.logical_and
  • Array.logical_not
  • Array.logical_or

• Window.set_axes_label_format - #221

• gemm - #234

• meanvar - #221

• pad - #221

• pinverse - #221

• rsqrt - #221

• set_cublas_mode - #221

• maxRagged - #221

• New Examples

  • Logistic Regression - #203
  • FAST feature detection - #190
  • Harris feature detection - #190
  • Template Matching - #190
  • SUSAN feature detection - #190

Breaking APIs

• cov - #221
• var - #221
• stdev - #221

Fixes

• Fixed wrapper validations in create_sparse_from_host - #198
• Added a workaround for bench_cg example on less capable GPUs - #200
• Fixed missing info in Array.device_ptr function documentation - #210
• Corrected invert operation to use non-in-place bit wise inversion - #228