# packages

pkgId: 421f88fe63c015729a9437dbac2d606f5dc4cf980224b154290a01467a838f44
name: capi-machine-learning-inference
arch: aarch64
version: 1.8.8
epoch: 0
release: 0
summary: Tizen native API for NNStreamer
rpm_license: Apache-2.0
rpm_vendor: tizen
rpm_group: Machine Learning/ML Framework
rpm_sourcerpm: capi-machine-learning-inference-1.8.8-0.src.rpm
rpm_packager: MyungJoo Ham <myungjoo.ham@samsung.com>
location_href: aarch64/capi-machine-learning-inference-1.8.8-0.aarch64.rpm
checksum_type: sha256
description:
  Tizen ML(Machine Learning) native API for NNStreamer.
  You can construct a data stream pipeline with neural networks easily.


pkgId: 7378cb53bea72e44a085ae760ff63d7fa87d144979e6d39b05c53579ff5aa4d5
name: nnstreamer
arch: aarch64
version: 2.4.4
epoch: 0
release: 0
summary: gstreamer plugins for neural networks
rpm_license: LGPL-2.1
rpm_vendor: tizen
rpm_group: Machine Learning/ML Framework
rpm_sourcerpm: nnstreamer-2.4.4-0.src.rpm
rpm_packager: MyungJoo Ham <myungjoo.ham@samsung.com>
location_href: aarch64/nnstreamer-2.4.4-0.aarch64.rpm
checksum_type: sha256
description:
  NNStreamer is a set of gstreamer plugins to support general neural networks
  and their plugins in a gstreamer stream. NNStreamer is a meta package of
  nnstreamer-core and nnstreamer-configuration


pkgId: 2cd5d4c1904b86a23812c3496aa35714cb3804a09a464f372e23e61c6032554e
name: nnstreamer-core
arch: aarch64
version: 2.4.4
epoch: 0
release: 0
summary: NNStreamer core package
rpm_license: LGPL-2.1
rpm_vendor: tizen
rpm_group: Machine Learning/ML Framework
rpm_sourcerpm: nnstreamer-2.4.4-0.src.rpm
rpm_packager: MyungJoo Ham <myungjoo.ham@samsung.com>
location_href: aarch64/nnstreamer-core-2.4.4-0.aarch64.rpm
checksum_type: sha256
description:
  NNStreamer is a set of gstreamer plugins to support general neural networks
  and their plugins in a gstreamer stream, this package is core package without configuration


pkgId: 5225fb88522eacb5eba90ce45ae74f29c3ad8cd8029541b9872ef8480521c154
name: nnstreamer-devel
arch: aarch64
version: 2.4.4
epoch: 0
release: 0
summary: Development package for custom tensor operator developers (tensor_filter/custom)
rpm_license: LGPL-2.1
rpm_vendor: tizen
rpm_group: Machine Learning/ML Framework
rpm_sourcerpm: nnstreamer-2.4.4-0.src.rpm
rpm_packager: MyungJoo Ham <myungjoo.ham@samsung.com>
location_href: aarch64/nnstreamer-devel-2.4.4-0.aarch64.rpm
checksum_type: sha256
description:
  Development package for subplugin or custom filter developers.
  Developers may add support for new hardware accelerators or neural network
  frameworks, or introduce new data types and their converters for tensors.
  However, applications or service developers generally do not need this.
  This contains corresponding header files and .pc pkgconfig file.


pkgId: b4e7f75e9f9866eaa37486e35d209df1ab54b4e25c3967454b853b71800acdff
name: nnstreamer-devel-internal
arch: aarch64
version: 2.4.4
epoch: 0
release: 0
summary: Development package to access internal functions of NNStreamer
rpm_license: LGPL-2.1
rpm_vendor: tizen
rpm_group: Machine Learning/ML Framework
rpm_sourcerpm: nnstreamer-2.4.4-0.src.rpm
rpm_packager: MyungJoo Ham <myungjoo.ham@samsung.com>
location_href: aarch64/nnstreamer-devel-internal-2.4.4-0.aarch64.rpm
checksum_type: sha256
description:
  Development package to access internal functions of NNStreamer.
  This may be used by API packages, which wrap nnstreamer features.
  In most cases, custom-filter or subplugin authors do not need this internal devel package; however, if they want to access more internal functions, they may need this.


pkgId: be8fed250c8dd60f2fd93ef7f04ec7db76aacc6635d9cd28f6ff3b4da03d2dd0
name: nnstreamer-test-devel
arch: aarch64
version: 2.4.4
epoch: 0
release: 0
summary: Development package to provide testable environment of a subplugin (tensor_filter/custom)
rpm_license: LGPL-2.1
rpm_vendor: tizen
rpm_group: Machine Learning/ML Framework
rpm_sourcerpm: nnstreamer-2.4.4-0.src.rpm
rpm_packager: MyungJoo Ham <myungjoo.ham@samsung.com>
location_href: aarch64/nnstreamer-test-devel-2.4.4-0.aarch64.rpm
checksum_type: sha256
description:
  Development package to provide testable environment of NNStreamer sub-plugin.
  This package enables testable environment of NNStreamer sub-plugin by making nnstreamer to recognize NNSTREAMER_CONF_PATH to steer a sub-plugin path to a custom path.
  Also This package provides test templates to be used with.


pkgId: 7f83dbaa480a63d167efef8d75951e600f9e13d11658d2bc4151303a11555724
name: nnstreamer-tizen-sensor
arch: aarch64
version: 2.4.4
epoch: 0
release: 0
summary: NNStreamer integration of tizen sensor framework (tensor_src_tizensensor)
rpm_license: LGPL-2.1
rpm_vendor: tizen
rpm_group: Machine Learning/ML Framework
rpm_sourcerpm: nnstreamer-2.4.4-0.src.rpm
rpm_packager: MyungJoo Ham <myungjoo.ham@samsung.com>
location_href: aarch64/nnstreamer-tizen-sensor-2.4.4-0.aarch64.rpm
checksum_type: sha256
description:
  You can include Tizen sensor framework nodes as source elements of GStreamer/NNStreamer pipelines with this package.


pkgId: 12384ecffcfaf3e399daceff82041af709ee1ad9c1eb4763f0cf2ea3f7f21d09
name: nntrainer-devel
arch: aarch64
version: 0.5.0
epoch: 0
release: 0
summary: Development package for custom nntrainer developers
rpm_license: Apache-2.0
rpm_vendor: tizen
rpm_group: Unspecified
rpm_sourcerpm: nntrainer-0.5.0-0.src.rpm
rpm_packager: Jijoong Moon <jijoong.moon@samsung.com>
location_href: aarch64/nntrainer-devel-0.5.0-0.aarch64.rpm
checksum_type: sha256
description:
  Development package for custom nntrainer developers.
  This contains corresponding header files and .pc pkgconfig file.


pkgId: d69cc2c5b59c59e7aa5e89fe8225f25b969d24bbedb711a064f4072743f3a21c
name: npu-engine-devel
arch: aarch64
version: 2.6.2
epoch: 0
release: 0
summary: Development Support for NPU Engine Library
rpm_license: Apache-2.0
rpm_vendor: tizen
rpm_group: System Environment/Daemons
rpm_sourcerpm: npu-engine-2.6.2-0.src.rpm
rpm_packager: MyungJoo Ham <myungjoo.ham@samsung.com>
location_href: aarch64/npu-engine-devel-2.6.2-0.aarch64.rpm
checksum_type: sha256
description:
  Developmental packages to develop programs using npu-engine.
  This contains corresponding header files and .pc pkgconfig file.


pkgId: f4ec4609aedba1079e092e19b22128c9fb05f8ab6ba3a89ca594f9523c01c3df
name: npu-engine-example
arch: aarch64
version: 2.6.2
epoch: 0
release: 0
summary: NPU Engine Example Package
rpm_license: Apache-2.0
rpm_vendor: tizen
rpm_group: System Environment/Daemons
rpm_sourcerpm: npu-engine-2.6.2-0.src.rpm
rpm_packager: MyungJoo Ham <myungjoo.ham@samsung.com>
location_href: aarch64/npu-engine-example-2.6.2-0.aarch64.rpm
checksum_type: sha256
description:
  Example application package for NPU Engine, including UnitTests and AppTest with realistic scenarios.


# files

type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/coco_labels_list.txt


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/mobilenetssd_golden.0


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/mobilenetssd_golden.1


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/mobilenetssd_postprocess_golden.0


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/mobilenetssd_postprocess_golden.1


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/mobilenetssd_postprocess_tensors.0.0


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/mobilenetssd_postprocess_tensors.0.1


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/mobilenetssd_postprocess_tensors.1.0


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/mobilenetssd_postprocess_tensors.1.1


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/mobilenetssd_postprocess_tensors.2.0


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/mobilenetssd_postprocess_tensors.2.1


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/mobilenetssd_postprocess_tensors.3.0


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/mobilenetssd_postprocess_tensors.3.1


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/mobilenetssd_tensors.0.0


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/mobilenetssd_tensors.0.1


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/mobilenetssd_tensors.1.0


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/mobilenetssd_tensors.1.1


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/palm_detection_input_0.0


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/palm_detection_input_0.1


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/palm_detection_input_1.0


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/palm_detection_input_1.1


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/palm_detection_result_golden.0


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/palm_detection_result_golden.1


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/yolov10_decoder_input.raw


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/yolov10_result_golden.raw


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/yolov5_decoder_input.raw


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/yolov5_result_golden.raw


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/yolov5_track_result_golden.raw


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/yolov8_decoder_input.raw


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/yolov8_obb_decoder_input.raw


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/yolov8_obb_decoder_result_golden.raw


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_decoder_boundingbox/yolov8_result_golden.raw


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_filter_custom/unittest_filter_custom.cc


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_filter_python3/unittest_filter_python3.cc


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_filter_reload/tensor_filter_reload_test.c


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_filter_tensorflow2_lite/config_file_golden.0


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_filter_tensorflow2_lite/config_file_golden.1


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_filter_tensorflow2_lite/config_file_golden.2


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_filter_tensorflow2_lite/unittest_filter_tensorflow2_lite.cc


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/nnstreamer_repo_dynamicity/tensor_repo_dynamic_test.c


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/test_models/labels/google_lenet_ncsdk_caffe_1.labels


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/test_models/models/google_lenet_ncsdk_caffe_1.graph


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/test_models/models/invalid_class_custom_converter.py


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/test_models/models/mobilenet_v1_1.0_224_quant.invalid


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/test_models/models/mobilenet_v1_1.0_224_quant.tflite


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/test_models/models/mobilenet_v2_1.0_224_quant.tflite


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/test_models/models/multi_person_mobilenet_v1_075_float.tflite


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/test_models/models/ncnn_models/squeezenet_v1.1.bin


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/test_models/models/ncnn_models/squeezenet_v1.1.param


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/test_models/models/openvino_mobilenetv2-int8-tf-0001.bin


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/test_models/models/openvino_mobilenetv2-int8-tf-0001.xml


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/test_models/models/sample_3x4_two_input_two_output.pt


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/test_models/models/sample_3x4_two_input_two_output.pte


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/test_models/models/sample_4x4x4x4x4_two_input_one_output.pt


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/test_models/models/sample_4x4x4x4x4_two_input_one_output.pte


type: file
name:
  /usr/lib/nnstreamer/bin/unittest-nnstreamer/tests/test_models/models/sample_4x4x4x4x4_two_input_one_output.tflite


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/attention_batched_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/attention_shared_kv_batched.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/attention_shared_kv_batched_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/attention_shared_kv_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/bn_channels_inference_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/bn_channels_training_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/bn_width_inference_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/bn_width_training_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_mb_1x1_kernel_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_mb_causal_dilation.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_mb_causal_dilation_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_mb_causal_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_mb_dilation_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_mb_minimum_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_mb_no_overlap_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_mb_same_dilation.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_mb_same_dilation_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_mb_same_remain_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_mb_same_uneven_remain.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_mb_same_uneven_remain_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_mb_valid_drop_last.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_mb_valid_drop_last_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_sb_1x1_kernel_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_sb_causal_dilation.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_sb_causal_dilation_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_sb_causal_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_sb_dilation_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_sb_minimum_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_sb_no_overlap_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_sb_same_dilation.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_sb_same_dilation_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_sb_same_remain_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_sb_same_uneven_remain.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_sb_same_uneven_remain_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_sb_valid_drop_last.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv1d_sb_valid_drop_last_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_mb_1x1_kernel_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_mb_dilation_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_mb_minimum_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_mb_no_overlap_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_mb_same_dilation.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_mb_same_dilation_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_mb_same_remain_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_mb_same_uneven_remain.nnlayergolden


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