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@t-kalinowski t-kalinowski released this 05 May 13:01
v1.4.0
b231690
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  • New op_subset() and x@r[...] methods enable tensor subsetting
    using R's [ semantics and idioms.

  • New subset assignment methods implemented for tensors:
    op_subset(x, ...) <- value and x@r[...] <- value

  • Breaking changes: All operations prefixed with op_ now return 1-based
    indices by default. The following functions that return or consume indices have
    changed:
    op_argmax(), op_argmin(), op_top_k(), op_argpartition(),
    op_searchsorted(), op_argsort(), op_digitize(), op_nonzero(),
    op_split(), op_trace(), op_swapaxes(), op_ctc_decode(),
    op_ctc_loss(), op_one_hot(), op_arange()

  • op_arange() now matches the semantics of base::seq(). By default
    it starts, includes the end value, and automatically infers step direction.

  • op_one_hot() now infers num_classes if supplied a factor.

  • op_hstack() and op_vstack() now accept arguments passed via ....

  • application_decode_predictions() now returns a processed data frame by
    default or a decoder function if predictions are missing.

  • application_preprocess_inputs() returns a preprocessor function if
    inputs are missing.

  • Various new examples added to documentation,
    including op_scatter(), op_switch(), and op_nonzero().

  • New x@py[...] accessor introduced for Python-style 0-based indexing of tensors.

  • New Summary group generic method for keras_shape, enabling usage like
    prod(shape(3, 4))

  • KERAS_HOME is now set to tools::R_user_dir("keras3", "cache") if
    ~/.keras does not exist and KERAS_HOME is unset.

  • new op_convert_to_array() to convert a tensor to an R array.

  • Added compatibility with Keras v3.9.2.

    • New operations added:

      • op_rot90()
      • op_rearrange() (Einops-style)
      • op_signbit()
      • op_polar()
      • op_image_perspective_transform()
      • op_image_gaussian_blur()

    • New layers introduced:

      • layer_rms_normalization()
      • layer_aug_mix()
      • layer_cut_mix()
      • layer_random_invert()
      • layer_random_erasing()
      • layer_random_gaussian_blur()
      • layer_random_perspective()

    • layer_resizing() gains an antialias argument.

    • keras_input(), keras_model_sequential(), and op_convert_to_tensor() gain a ragged argument.

    • layer$pop_layer() gains a rebuild argument and now returns the removed layer.

    • New rematerialized_call() method added to Layer objects.

    • Documentation improvements and minor fixes.

  • Fixed an issue where op_shape() would sometimes return a TensorFlow TensorShape

  • Fixes for metric_iou(), op_top_k(), and op_eye() being called with R atomic doubles

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