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Merge pull request #127 from NobuoTsukamoto/walnascar_v2.19.1
[walnascar] TensorFlow version 2.19.1
2 parents 9706a4d + ce7431d commit 887c8d5

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.github/workflows/build_intel.yml

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strategy:
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matrix:
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target_machine: [genericx86-64, intel-corei7-64, intel-skylake-64]
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tensorflow_version: [2.19.0]
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tensorflow_version: [2.19.1]
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fail-fast: false
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# The type of runner that the job will run on

.github/workflows/build_riscv.yml

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strategy:
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matrix:
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target_machine: [qemuriscv64, qemuriscv32]
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tensorflow_version: [2.19.0]
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tensorflow_version: [2.19.1]
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# The type of runner that the job will run on
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runs-on: ubuntu-22.04

.github/workflows/build_rpi.yml

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env:
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TARGET_VERSION: walnascar
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TARGET_RASPI_VERSION: 49a2d124890b96d28a590e52e6d0dd611c114f6b
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WORKING_DIR: /home/runner/work
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BUILD_DIR: /mnt/build
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DOWNLOAD_DIR: /mnt/build/downloads
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strategy:
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matrix:
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target_machine: [raspberrypi-cm, raspberrypi-cm3, raspberrypi, raspberrypi0-2w-64, raspberrypi0-wifi, raspberrypi0, raspberrypi2, raspberrypi3-64, raspberrypi3, raspberrypi4-64, raspberrypi4, raspberrypi5]
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tensorflow_version: [2.19.0]
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tensorflow_version: [2.19.1]
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fail-fast: false
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# The type of runner that the job will run on
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run: |
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sudo chown runner /mnt
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git clone --depth 1 -b ${TARGET_VERSION} git://git.yoctoproject.org/poky.git
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git clone git://git.yoctoproject.org/meta-raspberrypi
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cd meta-raspberrypi
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git checkout ${TARGET_RASPI_VERSION}
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cd ..
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git clone --depth 1 -b ${TARGET_VERSION} git://git.yoctoproject.org/meta-raspberrypi
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git clone --depth 1 -b ${TARGET_VERSION} git://git.openembedded.org/meta-openembedded
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working-directory: /home/runner/work
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README.md

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## Available recipes
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- framework
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- python3-tensorflow-lite
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[Python3 interpreter](recipes-framework/tensorflow-lite/python3-tensorflow-lite_2.19.0.bb)
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[Python3 interpreter](recipes-framework/tensorflow-lite/python3-tensorflow-lite_2.19.1.bb)
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- libtensorflow-lite
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[C++ API shared library](recipes-framework/tensorflow-lite/libtensorflow-lite_2.19.0.bb)
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[C++ API shared library](recipes-framework/tensorflow-lite/libtensorflow-lite_2.19.1.bb)
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- libtensorflow-lite-c
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[C API shared library](recipes-framework/tensorflow-lite/libtensorflow-lite-c_2.19.0.bb)
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[C API shared library](recipes-framework/tensorflow-lite/libtensorflow-lite-c_2.19.1.bb)
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- libedgetpu-max / libedgetpu-std
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[bitbake with libedgetpu](./doc/coral_libedgetpu.md)
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- examples
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### Support version
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| Recipe | Version |
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| :-- | :-- |
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| TensorFlow Lite | v2.19.0 |
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| TensorFlow Lite | v2.19.1 |
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| libedgetpu | e35aed18fea2e2d25d98352e5a5bd357c170bd4d |
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## How to

doc/python3-tensorflow-lite-example.md

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## Reference
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- [TensorFlow Lite Python image classification demo - tensorflow/tensorflow](https://github.com/tensorflow/tensorflow/blob/v2.19.0/tensorflow/lite/examples/python/README.md)
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- [TensorFlow Lite Python image classification demo - tensorflow/tensorflow](https://github.com/tensorflow/tensorflow/blob/v2.19.1/tensorflow/lite/examples/python/README.md)
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## How to
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Build sample on Raspberry Pi 4 AArch64 (core-image-weston).

doc/tensorflow-lite-benchmark.md

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## Reference
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- [TFLite Model Benchmark Tool with C++ Binary - tensorflow/tensorflow](https://github.com/tensorflow/tensorflow/blob/v2.19.0/tensorflow/lite/tools/benchmark/README.md)
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- [TFLite Model Benchmark Tool with C++ Binary - tensorflow/tensorflow](https://github.com/tensorflow/tensorflow/blob/v2.19.1/tensorflow/lite/tools/benchmark/README.md)
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## How to
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Build sample on qemueriscv64 (core-image-full-cmdline).

doc/tensorflow-lite-label-image.md

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## Reference
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- [TensorFlow Lite C++ image classification demo - tensorflow/tensorflow](https://github.com/tensorflow/tensorflow/blob/v2.19.0/tensorflow/lite/examples/label_image/README.md)
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- [TensorFlow Lite C++ image classification demo - tensorflow/tensorflow](https://github.com/tensorflow/tensorflow/blob/v2.19.1/tensorflow/lite/examples/label_image/README.md)
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## How to
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For more information about the changes in CMake and source, please refer to the following patch.
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- [001-label_image_cpp.patch](../recipes-examples/tensorflow-lite/files/001-label_image_cpp.patch)
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See [libtensorflow-lite](../recipes-framework/tensorflow-lite/libtensorflow-lite_2.19.0.bb) for a recipe to build a shared library for libtensorflow-lite.so.
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See [libtensorflow-lite](../recipes-framework/tensorflow-lite/libtensorflow-lite_2.19.1.bb) for a recipe to build a shared library for libtensorflow-lite.so.

doc/tensorflow-lite-minimal.md

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## Reference
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- [TensorFlow Lite C++ minimal example - tensorflow/tensorflow](https://github.com/tensorflow/tensorflow/blob/v2.19.0/tensorflow/lite/examples/minimal/README.md)
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- [TensorFlow Lite C++ minimal example - tensorflow/tensorflow](https://github.com/tensorflow/tensorflow/blob/v2.19.1/tensorflow/lite/examples/minimal/README.md)
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## How to
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For more information about the changes in CMake, please refer to the following patch.
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- [001-minimal_cmake.patch](../recipes-examples/tensorflow-lite/files/001-minimal_cmake.patch)
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See [libtensorflow-lite](../recipes-framework/tensorflow-lite/libtensorflow-lite_2.19.0.bb) for a recipe to build a shared library for libtensorflow-lite.so.
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See [libtensorflow-lite](../recipes-framework/tensorflow-lite/libtensorflow-lite_2.19.1.bb) for a recipe to build a shared library for libtensorflow-lite.so.

recipes-examples/tensorflow-lite/python3-tensorflow-lite-example_2.19.0.bb renamed to recipes-examples/tensorflow-lite/python3-tensorflow-lite-example_2.19.1.bb

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BPV = "${@'.'.join(d.getVar('PV').split('.')[0:2])}"
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DPV = "${@'.'.join(d.getVar('PV').split('.')[0:3])}"
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SRCREV_tensorflow = "e36baa302922ea3c7131b302c2996bd2051ee5c4"
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SRCREV_tensorflow = "f4247ebb6f9e7421f38c3f01a9a5d5cd54bd24fd"
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SRC_URI[model.sha256sum] = "1ccb74dbd9c5f7aea879120614e91617db9534bdfaa53dfea54b7c14162e126b"
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SRC_URI[label.sha256sum] = "366a2d53008df0d2a82b375e2020bbc57e43bbe19971370e47b7f74ea0aaab91"

recipes-examples/tensorflow-lite/tensorflow-lite-label-image_2.19.0.bb renamed to recipes-examples/tensorflow-lite/tensorflow-lite-label-image_2.19.1.bb

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BPV = "${@'.'.join(d.getVar('PV').split('.')[0:2])}"
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DPV = "${@'.'.join(d.getVar('PV').split('.')[0:3])}"
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SRCREV_tensorflow = "e36baa302922ea3c7131b302c2996bd2051ee5c4"
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SRCREV_tensorflow = "f4247ebb6f9e7421f38c3f01a9a5d5cd54bd24fd"
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SRC_URI[model.sha256sum] = "1ccb74dbd9c5f7aea879120614e91617db9534bdfaa53dfea54b7c14162e126b"
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SRC_URI[label.sha256sum] = "366a2d53008df0d2a82b375e2020bbc57e43bbe19971370e47b7f74ea0aaab91"

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