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| Name: frugally-deep-devel | Distribution: Fedora Project |
| Version: 0.15.30 | Vendor: Fedora Project |
| Release: 8.fc43 | Build date: Fri Feb 28 17:20:15 2025 |
| Group: Unspecified | Build host: buildvm-ppc64le-03.iad2.fedoraproject.org |
| Size: 324051 | Source RPM: frugally-deep-0.15.30-8.fc43.src.rpm |
| Packager: Fedora Project | |
| Url: https://github.com/Dobiasd/frugally-deep | |
| Summary: Header-only library for using Keras (TensorFlow) models in C++ | |
Would you like to build/train a model using Keras/Python? And would you like to run the prediction (forward pass) on your model in C++ without linking your application against TensorFlow? Then frugally-deep is exactly for you. frugally-deep * is a small header-only library written in modern and pure C++. * is very easy to integrate and use. * depends only on FunctionalPlus, Eigen and json - also header-only libraries. * supports inference (model.predict) not only for sequential models but also for computational graphs with a more complex topology, created with the functional API. * re-implements a (small) subset of TensorFlow, i.e., the operations needed to support prediction. * results in a much smaller binary size than linking against TensorFlow. * works out-of-the-box also when compiled into a 32-bit executable. (Of course, 64 bit is fine too.) * avoids temporarily allocating (potentially large chunks of) additional RAM during convolutions (by not materializing the im2col input matrix). * utterly ignores even the most powerful GPU in your system and uses only one CPU core per prediction. ;-) * but is quite fast on one CPU core, and you can run multiple predictions in parallel, thus utilizing as many CPUs as you like to improve the overall prediction throughput of your application/pipeline.
MIT
* Fri Feb 28 2025 Tom Rix <[email protected]> - 0.15.30-8 - cmake changed * Thu Jan 16 2025 Fedora Release Engineering <[email protected]> - 0.15.30-7 - Rebuilt for https://fedoraproject.org/wiki/Fedora_42_Mass_Rebuild * Mon Dec 02 2024 Tom Rix <[email protected]> - 0.15.30-6 - Build on TW - Fix dir ownership * Wed Jul 17 2024 Fedora Release Engineering <[email protected]> - 0.15.30-5 - Rebuilt for https://fedoraproject.org/wiki/Fedora_41_Mass_Rebuild * Wed Jan 24 2024 Fedora Release Engineering <[email protected]> - 0.15.30-4 - Rebuilt for https://fedoraproject.org/wiki/Fedora_40_Mass_Rebuild * Fri Jan 19 2024 Fedora Release Engineering <[email protected]> - 0.15.30-3 - Rebuilt for https://fedoraproject.org/wiki/Fedora_40_Mass_Rebuild * Tue Jan 16 2024 Tom Rix <[email protected]> - 0.15.30-2 - Reduce license to MIT - Remove unneeded cmake arg * Mon Jan 15 2024 Tom Rix <[email protected]> - 0.15.30-1 - Update to 0.15.30 * Fri Dec 15 2023 Tom Rix <[email protected]> - 0.15.26-1 - Initial package
/usr/include/fdeep /usr/include/fdeep/base64.hpp /usr/include/fdeep/common.hpp /usr/include/fdeep/convolution.hpp /usr/include/fdeep/convolution3d.hpp /usr/include/fdeep/depthwise_convolution.hpp /usr/include/fdeep/fdeep.hpp /usr/include/fdeep/filter.hpp /usr/include/fdeep/import_model.hpp /usr/include/fdeep/layers /usr/include/fdeep/layers/activation_layer.hpp /usr/include/fdeep/layers/add_layer.hpp /usr/include/fdeep/layers/additive_attention_layer.hpp /usr/include/fdeep/layers/attention_layer.hpp /usr/include/fdeep/layers/average_layer.hpp /usr/include/fdeep/layers/average_pooling_3d_layer.hpp /usr/include/fdeep/layers/batch_normalization_layer.hpp /usr/include/fdeep/layers/bidirectional_layer.hpp /usr/include/fdeep/layers/category_encoding_layer.hpp /usr/include/fdeep/layers/centercrop_layer.hpp /usr/include/fdeep/layers/concatenate_layer.hpp /usr/include/fdeep/layers/conv_2d_layer.hpp /usr/include/fdeep/layers/cropping_3d_layer.hpp /usr/include/fdeep/layers/dense_layer.hpp /usr/include/fdeep/layers/depthwise_conv_2d_layer.hpp /usr/include/fdeep/layers/dot_layer.hpp /usr/include/fdeep/layers/elu_layer.hpp /usr/include/fdeep/layers/embedding_layer.hpp /usr/include/fdeep/layers/exponential_layer.hpp /usr/include/fdeep/layers/flatten_layer.hpp /usr/include/fdeep/layers/gelu_layer.hpp /usr/include/fdeep/layers/global_average_pooling_3d_layer.hpp /usr/include/fdeep/layers/global_max_pooling_3d_layer.hpp /usr/include/fdeep/layers/global_pooling_layer.hpp /usr/include/fdeep/layers/gru_layer.hpp /usr/include/fdeep/layers/hard_sigmoid_layer.hpp /usr/include/fdeep/layers/input_layer.hpp /usr/include/fdeep/layers/layer.hpp /usr/include/fdeep/layers/layer_normalization_layer.hpp /usr/include/fdeep/layers/leaky_relu_layer.hpp /usr/include/fdeep/layers/linear_layer.hpp /usr/include/fdeep/layers/lstm_layer.hpp /usr/include/fdeep/layers/max_pooling_3d_layer.hpp /usr/include/fdeep/layers/maximum_layer.hpp /usr/include/fdeep/layers/minimum_layer.hpp /usr/include/fdeep/layers/model_layer.hpp /usr/include/fdeep/layers/multi_head_attention_layer.hpp /usr/include/fdeep/layers/multiply_layer.hpp /usr/include/fdeep/layers/normalization_layer.hpp /usr/include/fdeep/layers/permute_layer.hpp /usr/include/fdeep/layers/pooling_3d_layer.hpp /usr/include/fdeep/layers/prelu_layer.hpp /usr/include/fdeep/layers/relu_layer.hpp /usr/include/fdeep/layers/repeat_vector_layer.hpp /usr/include/fdeep/layers/rescaling_layer.hpp /usr/include/fdeep/layers/reshape_layer.hpp /usr/include/fdeep/layers/resizing_layer.hpp /usr/include/fdeep/layers/selu_layer.hpp /usr/include/fdeep/layers/separable_conv_2d_layer.hpp /usr/include/fdeep/layers/sigmoid_layer.hpp /usr/include/fdeep/layers/softmax_layer.hpp /usr/include/fdeep/layers/softplus_layer.hpp /usr/include/fdeep/layers/softsign_layer.hpp /usr/include/fdeep/layers/subtract_layer.hpp /usr/include/fdeep/layers/swish_layer.hpp /usr/include/fdeep/layers/tanh_layer.hpp /usr/include/fdeep/layers/time_distributed_layer.hpp /usr/include/fdeep/layers/unit_normalization_layer.hpp /usr/include/fdeep/layers/upsampling_1d_layer.hpp /usr/include/fdeep/layers/upsampling_2d_layer.hpp /usr/include/fdeep/layers/zero_padding_3d_layer.hpp /usr/include/fdeep/model.hpp /usr/include/fdeep/node.hpp /usr/include/fdeep/recurrent_ops.hpp /usr/include/fdeep/shape2.hpp /usr/include/fdeep/shape3.hpp /usr/include/fdeep/tensor.hpp /usr/include/fdeep/tensor_pos.hpp /usr/include/fdeep/tensor_shape.hpp /usr/include/fdeep/tensor_shape_variable.hpp /usr/lib64/cmake/frugally-deep /usr/lib64/cmake/frugally-deep/frugally-deepConfig.cmake /usr/lib64/cmake/frugally-deep/frugally-deepConfigVersion.cmake /usr/lib64/cmake/frugally-deep/frugally-deepTargets.cmake /usr/share/doc/frugally-deep-devel /usr/share/doc/frugally-deep-devel/README.md /usr/share/licenses/frugally-deep-devel /usr/share/licenses/frugally-deep-devel/LICENSE
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Fabrice Bellet, Mon Mar 3 04:06:20 2025