# packages

pkgId: 00438dbd260a6a85a3dd06529194e59a53a3f5a6bc449da0da1f04f1088e1a58
name: capi-machine-learning-inference
arch: x86_64
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: x86_64/capi-machine-learning-inference-1.8.8-0.x86_64.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: b792ab8281415997ba42c27b4c37ccd1d556d9ead258a1a3d284c91a1ef3a177
name: lightweight-web-engine
arch: x86_64
version: 1.3.20
epoch: 0
release: 1
summary: Lightweight Web Engine for Tizen
description: This package provides a Tizen specific implementation of Lightweight Web Engine.
rpm_vendor: tizen
rpm_group: Development/Libraries
rpm_sourcerpm: lightweight-web-engine-1.3.20-1.src.rpm
location_href: x86_64/lightweight-web-engine-1.3.20-1.x86_64.rpm
checksum_type: sha256
rpm_license:
  LGPL-2.1+ and BSD-2-Clause and BSD-3-Clause and BSL-1.0 and MIT and ISC and Zlib and BOEHM-GC and ICU


pkgId: f9a4f779740ccad060ae606ac8e0ace7a4d3941852d5a34b58527c74d2c00756
name: nntrainer-devel
arch: x86_64
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: x86_64/nntrainer-devel-0.5.0-0.x86_64.rpm
checksum_type: sha256
description:
  Development package for custom nntrainer developers.
  This contains corresponding header files and .pc pkgconfig file.


pkgId: 0b5edb2ee6461d0961af1ecf09b7dcdec5d140e113e7be911d42da1e441c271b
name: opentk
arch: noarch
version: 3.0.4
epoch: 0
release: 1
summary: C# binding for OpenGL, OpenGL ES
url: https://github.com/opentk/opentk/
rpm_license: MIT
rpm_vendor: tizen
rpm_group: Development/Libraries
rpm_sourcerpm: opentk-3.0.4-1.src.rpm
location_href: noarch/opentk-3.0.4-1.noarch.rpm
checksum_type: sha256
description:
  The Open Toolkit library is a fast, low-level C# binding for OpenGL, OpenGL ES and OpenAL.
  It runs on all major platforms and powers hundreds of apps, games and scientific research.


pkgId: f32f0eb458b223378bbe0d2b638f4953a27c22e5de758f7ee6f5965870ae484b
name: org.tizen.inputdelegator-profile_common
arch: x86_64
version: 0.10.1
epoch: 0
release: 1
summary: Inputdelegator binaries and resources without flavors
rpm_license: Apache-2.0
rpm_vendor: tizen
rpm_group: Applications
rpm_sourcerpm: org.tizen.inputdelegator-0.10.1-1.src.rpm
location_href: x86_64/org.tizen.inputdelegator-profile_common-0.10.1-1.x86_64.rpm
checksum_type: sha256
description:
  Inputdelegator binaries and resources without flavors, intended
  to support common profiles, which does not supply any additional options
  for the build.


pkgId: 0f74be52c753694f39414b398190d7dd66e3d7e4f60a0c862e1c1ad578fafd9c
name: org.tizen.inputdelegator-profile_mobile
arch: x86_64
version: 0.10.1
epoch: 0
release: 1
summary: Inputdelegator binaries and resources with mobile profile
rpm_license: Apache-2.0
rpm_vendor: tizen
rpm_group: Applications
rpm_sourcerpm: org.tizen.inputdelegator-0.10.1-1.src.rpm
location_href: x86_64/org.tizen.inputdelegator-profile_mobile-0.10.1-1.x86_64.rpm
checksum_type: sha256
description:
  Inputdelegator binaries and resources with mobile options.
  This is intended to support mobile profiles.


pkgId: 2e69fd5e0d0f9e38bb982c2dc8d4b308a98a2072eda3ece5cba5bf6aaa373346
name: system-servant-profile_common
arch: x86_64
version: 0.2.2
epoch: 0
release: 1
summary: System-servant configured for common profile
rpm_license: Apache-2.0
rpm_vendor: tizen
rpm_group: System/Utilities
rpm_sourcerpm: system-servant-0.2.2-1.src.rpm
location_href: x86_64/system-servant-profile_common-0.2.2-1.x86_64.rpm
checksum_type: sha256
description:
  System-popup (system-servant) configured for common profile.
  The binary is shared between common/tv.


# files

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


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_mb_same_uneven_remain_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_mb_valid_drop_last.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_mb_valid_drop_last_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_sb_1x1_kernel_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_sb_dilation_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_sb_minimum_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_sb_no_overlap_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_sb_same_dilation.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_sb_same_dilation_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_sb_same_remain_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_sb_same_uneven_remain.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_sb_same_uneven_remain_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_sb_valid_drop_last.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/conv2d_sb_valid_drop_last_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/dropout_0_training_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/dropout_100_training_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/dropout_20_inference_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/dropout_20_training_w16a16.nnlayergolden


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


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


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/embedding_w32a32_single_batch.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/gru_multi_step_seq_act_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/gru_multi_step_seq_w16a16.nnlayergolden


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


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


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


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/gru_reset_after_multi_step_seq_act_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/gru_reset_after_multi_step_seq_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/gru_reset_after_multi_step_w16a16.nnlayergolden


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


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


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/gru_reset_after_single_step_seq_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/gru_reset_after_single_step_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/gru_single_step_seq_w16a16.nnlayergolden


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


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/grucell_reset_after_single_step_w16a16.nnlayergolden


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


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/grucell_single_step_act_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/grucell_single_step_w16a16.nnlayergolden


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


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/lstm_multi_step_seq_act_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/lstm_multi_step_seq_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/lstm_single_step_seq_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/lstm_single_step_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/lstmcell_single_step_w16a16.nnlayergolden


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


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/multi_head_attention_output_shape_w16a16.nnlayergolden


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


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/multi_head_attention_return_attention_scores_w16a16.nnlayergolden


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


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/multi_head_attention_single_batch_w16a16.nnlayergolden


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


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/multi_head_attention_value_dim_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/multi_head_attention_w16a16.nnlayergolden


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


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/positional_encoding_partial_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/positional_encoding_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/rnncell_single_step_w16a16.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/upsample2d_2x2_bilinear.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/upsample2d_3x3_bilinear.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_layers/upsample2d_big_bilinear.nnlayergolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_models/bidirectional_lstm_single.nnmodelgolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_models/bidirectional_lstm_stacked.nnmodelgolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_models/fc_unroll_stacked_clipped.nnmodelgolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_models/gru_reset_after_return_sequence_with_batch.info


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_models/gru_return_sequence_with_batch_n.info


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_models/lstm_return_sequence_with_batch_n.info


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_models/multi_gru_reset_after_return_sequence.info


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_models/multi_gru_reset_after_return_sequence_with_batch.info


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_models/multi_gru_return_sequence_with_batch.info


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_models/multi_gru_return_sequence_with_batch_n.info


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_models/multi_head_attention_disable_need_weights.nnmodelgolden


type: file
name:
  /usr/lib64/nntrainer/bin/applications/res/test/unittest_models/multi_head_attention_float_attn_mask.nnmodelgolden


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