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CHANGELOG.md

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Changelog

v0.3.8 (2025-02-10)

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Changed

  • [deps] Use libedgetpu v0.1.10.
  • Use tensorflow v2.18.0.

v0.3.7 (2024-09-03)

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Fixed

  • fixed project build directory

v0.3.6 (2024-03-17)

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Changed

  • [deps] Use libedgetpu v0.1.9.
  • Use tensorflow v2.16.1.
  • Use libusb v1.0.27.
  • Use Erlang/OTP 25.x for precompiled binaries. This unified the required Erlang/OTP NIF version to 2.16 for precompiled binaries.
  • Detect and use HTTP_PROXY, HTTPS_PROXY, http_proxy and https_proxy when fetch preocmpiled binary from GitHub.

v0.3.5 (2024-01-24)

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Changed

  • Precompiled version for armv6 devices.
  • Removed TFBEAM_XNNPACK_ENABLE_ARM_I8MM option as it should work as long as a newer C compiler is used.
  • Updated metadata_schema to 1.5.0

v0.3.4 (2024-01-23)

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Changed

  • [deps] Use libedgetpu v0.1.8.
  • Use tensorflow v2.15.0.

v0.3.3 (2023-07-21)

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Changed

  • [deps] Use libedgetpu v0.1.7.
  • Use tensorflow v2.13.0.

v0.3.2 (2023-04-03)

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Fixed

  • [precompiled-nerves] Guess correct TARGET_ARCH from TARGET_CPU.

v0.3.1 (2023-04-03)

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Fixed

  • [deps] Use libedgetpu v0.1.6.

Changed

v0.3.0 (2023-04-02)

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Breaking Change

  • This repo will now be the TensorFlow Lite Erlang bindings. For Elixir bindings, please visit cocoa-xu/tflite_elixir.

Fixed

  • [erlang] Generate correct error message from a list of errors.
  • [c_src] Initialize resource pointers with nullptr.
  • Implemented tokenizers for MobileBERT (#57) by @cocoa-xu.
  • [make] Ensure priv dir exist.

v0.2.1 (2023-04-02)

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Changed

  • [deps] Use TensorFlow Lite version 2.11.1.

Fixed

  • [erlang] Generate correct error message from a list of errors.
  • [c_src] Initialize resource pointers with nullptr.
  • Implemented tokenizers for MobileBERT (#57) by @cocoa-xu.
  • [make] Ensure priv dir exist.

v0.2.0 (2023-03-30)

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Breaking Changes

  • Renamed root namespace from TFLiteElixir to TFLiteBEAM

Changes

  • buffer will be copied and managed when using TFLiteBEAM.FlatBufferModel.build_from_buffer/1.
  • TFLiteBEAM.TFLiteTensor.dims/1 returns a list (following TensorFlow Lite's C++ API convention) while TFLiteBEAM.TFLiteTensor.shape/1 returns a tuple (folllowing nx's convention.)

Added

  • Erlang support.

  • [example] added pose estimation example (#43) by @mnishiguchi

  • [example] use thunder model instead of lightning in pose estimation (#45) by @mnishiguchi

  • [example] added audio classification example

  • Experimental high-level module TFLiteBEAM.ImageClassification.

    iex> alias TFLiteBEAM.ImageClassification
iex> {:ok, pid} = ImageClassification.start("test/test_data/mobilenet_v2_1.0_224_inat_bird_quant.tflite")
iex> ImageClassification.predict(pid, "test/test_data/parrot.jpeg")
%{class_id: 923, score: 0.70703125}
iex> ImageClassification.set_label_from_associated_file(pid, "inat_bird_labels.txt")
:ok
iex> ImageClassification.predict(pid, "test/test_data/parrot.jpeg")
%{class_id: 923, label: "Ara macao (Scarlet Macaw)", score: 0.70703125}
iex> ImageClassification.predict(pid, "test/test_data/parrot.jpeg", top_k: 3)
[
  %{class_id: 923, label: "Ara macao (Scarlet Macaw)", score: 0.70703125},
  %{
    class_id: 837,
    label: "Platycercus elegans (Crimson Rosella)",
    score: 0.078125
  },
  %{
    class_id: 245,
    label: "Coracias caudatus (Lilac-breasted Roller)",
    score: 0.01953125
  }
]

v0.1.7 (2023-03-22)

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Breaking Changes

  • Deprecated TFLiteElixir.Interpreter.allocate_tensors!/1
  • Deprecated Access behaviour for TFLiteElixir.FlatBufferModel

Fixed

  • Properly implemented TFLiteElixir.FlatBufferModel.read_all_metadata/1.

    iex> filename = Path.join([__DIR__, "test", "test_data", "mobilenet_v2_1.0_224_inat_bird_quant.tflite"])
iex> %FlatBufferModel{} = model = FlatBufferModel.build_from_buffer(File.read!(filename))
iex> TFLiteElixir.FlatBufferModel.read_all_metadata(model)
%{
  TFLITE_METADATA: %{
    description:
      "Identify the most prominent object in the image from a known set of categories.",
    min_parser_version: "1.0.0",
    name: "ImageClassifier",
    subgraph_metadata: [
      %{
        input_tensor_metadata: [
          %{
            content: %{
              content_properties: %{color_space: "RGB"},
              content_properties_type: "ImageProperties"
            },
            description: "Input image to be classified.",
            name: "image",
            process_units: [
              %{
                options: %{mean: [127.5], std: [127.5]},
                options_type: "NormalizationOptions"
              }
            ],
            stats: %{max: [255.0], min: [0.0]}
          }
        ],
        output_tensor_metadata: [
          %{
            associated_files: [
              %{
                description: "Labels for categories that the model can recognize.",
                name: "inat_bird_labels.txt",
                type: "TENSOR_AXIS_LABELS"
              }
            ],
            description: "Probabilities of the labels respectively.",
            name: "probability",
            stats: %{max: [255.0], min: [0.0]}
          }
        ]
      }
    ]
  },
  min_runtime_version: "1.5.0"
}

Changed

  • Improve TFLiteElixir.TFLiteTensor.to_nx/2 (#33) by @cocoa-xu
  • [doc] Improve doc for to_nx (#31) by @mnishiguchi

Added

  • Implemented
    • FlatBufferModel.{list_associated_files/1,get_associated_file/2}
    • TFLiteElixir.Interpreter.signature_keys/1
    • TFLiteElixir.Interpreter.execution_plan/1
    • TFLiteElixir.Interpreter.new_from_buffer/1
    • TFLiteElixir.Interpreter.tensors_size/1
    • TFLiteElixir.Interpreter.variables/1
    • TFLiteElixir.Interpreter.set_variables/2
    • TFLiteElixir.Interpreter.set_inputs/2
    • TFLiteElixir.Interpreter.set_outputs/2
  • [example] object detection example (#40) by @mnishiguchi

v0.1.6 (2023-03-19)

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Fixed

  • [edgetpu] Improved edgetpu context handling, and bumped libedgetpu_runtime_version to v0.1.5. Fixed #30

Added

  • [example] artistic-style-transfer example (#27) @mnishiguchi

v0.1.5 (2023-03-18)

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Breaking Changes

  • Deprecated functions:
    • TFLiteElixir.FlatBufferModel.initialized!/1
    • TFLiteElixir.FlatBufferModel.get_minimum_runtime!/1
    • TFLiteElixir.TFLiteTensor.tensor!
    • TFLiteElixir.TFLiteTensor.to_nx!
    • TFLiteElixir.TFLiteTensor.to_binary!
    • TFLiteElixir.FlatBufferModel.build_from_buffer!
    • TFLiteElixir.FlatBufferModel.get_full_signature_list
  • TFLiteElixir.Coral.get_edge_tpu_context/1 now takes keyword options.

Changes

  • [example] Improve Inference on TPU notebook (#15) @mnishiguchi
  • [example] Improve Inference on TPU notebook (#16) @mnishiguchi
  • Alias modules in tflite_interpreter (#17) @mnishiguchi
  • Rename elixir files based on module names (#18) @mnishiguchi
  • add moduledocs (#19) @mnishiguchi

Fixed

  • Fixed a few places that could lead to segmentation fault.
  • [example] Fixed broken ESRGAN link, Visualize the result section in the "Super Resolution" notebook. Lock down tflite_elixir and evision version (#29) @mnishiguchi.
  • [typespec] Fixed typespec for TFLiteElixir.Coral.edge_tpu_devices/0 (#22) @mnishiguchi.

Added

  • [test] Unit tests for TFLiteElixir.Interpreter, TFLiteElixir.InterpreterBuilder and TFLiteElixir.Ops.Builtin.BuiltinResolver.
  • [example] Added intro text to super_resolution_example. (#26) @mnishiguchi.
  • TFLiteElixir.FlatBufferModel.error_reporter/1.
  • TFLiteElixir.FlatBufferModel.verify_and_build_from_file/2

v0.1.4 (2023-03-14)

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Breaking Changes

  • Snake case functions (#21) @mnishiguchi

Changes

  • [example] Improve Inference on TPU notebook (#15) @mnishiguchi
  • [example] Improve Inference on TPU notebook (#16) @mnishiguchi
  • Alias modules in tflite_interpreter (#17) @mnishiguchi
  • Rename elixir files based on module names (#18) @mnishiguchi
  • add moduledocs (#19) @mnishiguchi

Fixed

  • Fix compilation logic when not using precompiled binaries.

Added

  • Implemented TFLiteElixir.reset_variable_tensor/1.
  • Add support for armv6.

Misc

  • Simple workaround for cortex-a53 and cortex-a57, vcvtaq_s32_f32.

v0.1.3 (2023-03-09)

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Changes

v0.1.2 (2023-03-08)

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First release on hex.pm.